One most common problem in reinforcement learning systems (e.g. Q-learning) is to reduce the number of trials to converge to an optimal policy. As one of the solution to the problem, k-certainty exploration method was proposed. Miyazaki reported that this method could determine an optimal policy faster than Q-learning in Markov decision processes (MDPs). This method is very efficient learning method. But, we propose an improvement plan that makes this method more efficient. In (...) k-certainty exploration method, in case there is no k-uncertainty rule (rules which aren’t selected more than k times) in current state, an agent sometimes walks randomly until it finds a state where it can select a k-uncertainty rule. We think that this behavior is not efficient. To reduce this useless behavior, we propose combining k-certainty exploration method with Dynamic programming (DP). Miyazaki’s system uses DP after all rules are executed at least k times. But, our method uses k-certainty exploration method along with DP during learning. Our method, takes two pattern actions. In case an agent can select k-uncertainty rules, one of these rules is selected at random as k-certainty exploration method. In another case there is no k-uncertainty rule, behavior of agent is different from the behavior of k-certainty exploration method. In that case, our method uses DP to compute an optimal policy for moving from a current state to a state in which some k-uncertainty rules remain. The model for DP is constructed by using only known states. The outline will be described below. First, an agent makes a map constructed by using only known states. In the map, goals are states in which there are k-uncertainty rules and arbitrary state values are set in these states. Point to which attention should be paid is that the map is not given from outside. It is made from only experience. Next, each state values of states in which there are only k-certainty rules in the map are computed by DP (we used Policy Iteration). Finally, an agent continues to select greedy action until it arrives at a state in which it can select a k-uncertainty rule. By this improvement, we expect it can determine an optimal policy faster than k-certainty exploration method. And we have verified that our exploration method can determine an optimal policy faster than k-certainty exploration method by computer simulation. (shrink)

The race among global firms to launch its respective products and services into the market sooner than the competitors puts pressure to equip its employees with job-related skills at the pace of business. Today’s global and dynamic business requires employees to develop highly complex cognitive skills such as decision-making, problem-solving, troubleshooting to perform their jobs proficiently. Traditional training models used by some organizations lead to a very slow speed at which employees gain an acceptable level of proficiency in (...) the targeted job skills. Also, these models have long and regimented instructional development cycle. Thus, traditional models are inherently counter-productive to the business and do not enable employees and organizations for today’s business needs. Therefore, business organizations need to explore new training models and strategies that could reduce the time an employee takes to reach target proficiency in complex skills without compromising the effectiveness or outcome. A comprehensive review of the literature shows a very limited amount of academic or practitioner research on this topic. This doctorate research study aims to find various training strategies that have proven successful in organizations for accelerating proficiency of employees in complex job skills. The researcher collected data primarily through 74 in-depth interviews with 86 training experts with known work experience of reducing time-to-proficiency in various settings. A total of 105 project cases have been collected across 42 industries to date. A grounded theory approach with constant comparison method is used to guide the theoretical saturation, analyze the data and to develop a theoretical model of training strategies. This unique study revealed a range of training strategies from non-training solutions to classroom instructions to workplace training to accelerate proficiency of employees in acquiring complex skills. This paper will specifically report the preliminary findings and conceptual model of major classroom-based instructional strategies only that has been found to hold the potential to shorten time-to-proficiency of employees at the workplace. This paper will also discuss the implications of the findings for the practitioners. Results in this study confirmed that classroom-based instructional strategies need to be designed and delivered the way the work is being performed in reality by the learners. Research findings suggest a pattern of five classroom-based instructional strategies that are more successful in reducing time-to-proficiency - 1) Contextualized learning 2) Performance analysis of star performer 3) Active processing and emotional involvement 4) Access to self-guided learning resources 5) Social interconnectivity and informal learning. (shrink)

Table of contentsI1 Proceedings of the 4th World Conference on Research IntegrityConcurrent Sessions:1. Countries' systems and policies to foster research integrityCS01.1 Second time around: Implementing and embedding a review of responsible conduct of research policy and practice in an Australian research-intensive universitySusan Patricia O'BrienCS01.2 Measures to promote research integrity in a university: the case of an Asian universityDanny Chan, Frederick Leung2. Examples of research integrity education programmes in different countriesCS02.1 Development of a state-run “cyber education program of research ethics” (...) in KoreaEun Jung Ko, Jin Sun Kwak, TaeHwan Gwon, Ji Min Lee, Min-Ho LeeCS02.3 Responsible conduct of research teachers’ training courses in Germany: keeping on drilling through hard boards for more RCR teachersHelga Nolte, Michael Gommel, Gerlinde Sponholz3. The research environment and policies to encourage research integrityCS03.1 Challenges and best practices in research integrity: bridging the gap between policy and practiceYordanka Krastev, Yamini Sandiran, Julia Connell, Nicky SolomonCS03.2 The Slovenian initiative for better research: from national activities to global reflectionsUrsa Opara Krasovec, Renata SribarCS03.3 Organizational climate assessments to support research integrity: background of the Survey of Organizational Research Climate and the experience with its use at Michigan State UniversityBrian C. Martinson, Carol R. Thrush, C.K. Gunsalus4. Expressions of concern and retractionsCS04.1 Proposed guidelines for retraction notices and their disseminationIvan Oransky, Adam MarcusCS04.2 Watching retractions: analysis of process and practice, with data from the Wiley retraction archivesChris Graf, Verity Warne, Edward Wates, Sue JoshuaCS04.3 An exploratory content analysis of Expressions of ConcernMiguel RoigCS04.4 An ethics researcher in the retraction processMichael Mumford5. Funders' role in fostering research integrityCS05.1 The Fonds de Recherche du Québec’s institutional rules on the responsible conduct of research: introspection in the funding agency activitiesMylène Deschênes, Catherine Olivier, Raphaëlle Dupras-LeducCS05.2 U.S. Public Health Service funds in an international setting: research integrity and complianceZoë Hammatt, Raju Tamot, Robin Parker, Cynthia Ricard, Loc Nguyen-Khoa, Sandra TitusCS05.3 Analyzing decision making of funders of public research as a case of information asymmetryKarsten Klint JensenCS05.4 Research integrity management: Empirical investigation of academia versus industrySimon Godecharle, Ben Nemery, Kris Dierickx5A: Education: For whom, how, and what?CS05A.1 Research integrity or responsible conduct of research? What do we aim for?Mickey Gjerris, Maud Marion Laird Eriksen, Jeppe Berggren HoejCS05A.2 Teaching and learning about RCR at the same time: a report on Epigeum’s RCR poll questions and other assessment activitiesNicholas H. SteneckCS05A.4 Minding the gap in research ethics education: strategies to assess and improve research competencies in community health workers/promoteresCamille Nebeker, Michael Kalichman, Elizabeth Mejia Booen, Blanca Azucena Pacheco, Rebeca Espinosa Giacinto, Sheila Castaneda6. Country examples of research reward systems and integrityCS06.1 Improving systems to promote responsible research in the Chinese Academy of SciencesDing Li, Qiong Chen, Guoli Zhu, Zhonghe SunCS06.4 Exploring the perception of research integrity amongst public health researchers in IndiaParthasarathi Ganguly, Barna Ganguly7. Education and guidance on research integrity: country differencesCS07.1 From integrity to unity: how research integrity guidance differs across universities in Europe.Noémie Aubert Bonn, Kris Dierickx, Simon GodecharleCS07.2 Can education and training develop research integrity? The spirit of the UNESCO 1974 recommendation and its updatingDaniele Bourcier, Jacques Bordé, Michèle LeducCS07.3 The education and implementation mechanisms of research ethics in Taiwan's higher education: an experience in Chinese web-based curriculum development for responsible conduct of researchChien Chou, Sophia Jui-An PanCS07.4 Educating principal investigators in Swiss research institutions: present and future perspectivesLouis Xaver Tiefenauer8. Measuring and rewarding research productivityCS08.1 Altimpact: how research integrity underpins research impactDaniel Barr, Paul TaylorCS08.2 Publication incentives: just reward or misdirection of funds?Lyn Margaret HornCS08.3 Why Socrates never charged a fee: factors contributing to challenges for research integrity and publication ethicsDeborah Poff9. Plagiarism and falsification: Behaviour and detectionCS09.1 Personality traits predict attitude towards plagiarism of self and others in biomedicine: plagiarism, yes we can?Martina Mavrinac, Gordana Brumini, Mladen PetrovečkiCS09.2 Investigating the concept of and attitudes toward plagiarism for science teachers in Brazil: any challenges for research integrity and policy?Christiane Coelho Santos, Sonia VasconcelosCS09.3 What have we learnt?: The CrossCheck Service from CrossRefRachael LammeyCS09.4 High p-values as a sign of data fabrication/falsificationChris Hartgerink, Marcel van Assen, Jelte Wicherts10. Codes for research integrity and collaborationsCS10.1 Research integrity in cross-border cooperation: a Nordic exampleHanne Silje HaugeCS10.3 Research integrity, research misconduct, and the National Science Foundation's requirement for the responsible conduct of researchAaron MankaCS10.4 A code of conduct for international scientific cooperation: human rights and research integrity in scientific collaborations with international academic and industry partnersRaffael Iturrizaga11. Countries' efforts to establish mentoring and networksCS11.1 ENRIO : a network facilitating common approaches on research integrity in EuropeNicole FoegerCS11.2 Helping junior investigators develop in a resource-limited country: a mentoring program in PeruA. Roxana Lescano, Claudio Lanata, Gissella Vasquez, Leguia Mariana, Marita Silva, Mathew Kasper, Claudia Montero, Daniel Bausch, Andres G LescanoCS11.3 Netherlands Research Integrity Network: the first six monthsFenneke Blom, Lex BouterCS11.4 A South African framework for research ethics and integrity for researchers, postgraduate students, research managers and administratorsLaetus OK Lategan12. Training and education in research integrity at an early career stageCS12.1 Research integrity in curricula for medical studentsGustavo Fitas ManaiaCS12.2 Team-based learning for training in the responsible conduct of research supports ethical decision-makingWayne T. McCormack, William L. Allen, Shane Connelly, Joshua Crites, Jeffrey Engler, Victoria Freedman, Cynthia W. Garvan, Paul Haidet, Joel Hockensmith, William McElroy, Erik Sander, Rebecca Volpe, Michael F. VerderameCS12.4 Research integrity and career prospects of junior researchersSnezana Krstic13. Systems and research environments in institutionsCS13.1 Implementing systems in research institutions to improve quality and reduce riskLouise HandyCS13.2 Creating an institutional environment that supports research integrityDebra Schaller-DemersCS13.3 Ethics and Integrity Development Grants: a mechanism to foster cultures of ethics and integrityPaul Taylor, Daniel BarrCS13.4 A culture of integrity at KU LeuvenInge Lerouge, Gerard Cielen, Liliane Schoofs14. Peer review and its role in research integrityCS14.1 Peer review research across disciplines: transdomain action in the European Cooperation in Science and Technology “New Frontiers of Peer Review ”Ana Marusic, Flaminio SquazzoniCS14.2 Using blinding to reduce bias in peer reviewDavid VauxCS14.3 How to intensify the role of reviewers to promote research integrityKhalid Al-Wazzan, Ibrahim AlorainyCS14.4 Credit where credit’s due: professionalizing and rewarding the role of peer reviewerChris Graf, Verity Warne15. Research ethics and oversight for research integrity: Does it work?CS15.1 The psychology of decision-making in research ethics governance structures: a theory of bounded rationalityNolan O'Brien, Suzanne Guerin, Philip DoddCS15.2 Investigator irregularities: iniquity, ignorance or incompetence?Frank Wells, Catherine BlewettCS15.3 Academic plagiarismFredric M. Litto16. Research integrity in EuropeCS16.1 Whose responsibility is it anyway?: A comparative analysis of core concepts and practice at European research-intensive universities to identify and develop good practices in research integrityItziar De Lecuona, Erika Löfstrom, Katrien MaesCS16.2 Research integrity guidance in European research universitiesKris Dierickx, Noémie Bonn, Simon GodecharleCS16.3 Research Integrity: processes and initiatives in Science Europe member organisationsTony Peatfield, Olivier Boehme, Science Europe Working Group on Research IntegrityCS16.4 Promoting research integrity in Italy: the experience of the Research Ethics and Bioethics Advisory Committee of the Consiglio Nazionale delle Ricerche Cinzia Caporale, Daniele Fanelli17. Training programs for research integrity at different levels of experience and seniorityCS17.1 Meaningful ways to incorporate research integrity and the responsible conduct of research into undergraduate, graduate, postdoctoral and faculty training programsJohn Carfora, Eric Strauss, William LynnCS17.2 "Recognize, respond, champion": Developing a one-day interactive workshop to increase confidence in research integrity issuesDieter De Bruyn, Bracke Nele, Katrien De Gelder, Stefanie Van der BurghtCS17.4 “Train the trainer” on cultural challenges imposed by international research integrity conversations: lessons from a projectJosé Roberto Lapa e Silva, Sonia M. R. Vasconcelos18. Research and societal responsibilityCS18.1 Promoting the societal responsibility of research as an integral part of research integrityHelene IngierdCS18.2 Social responsibility as an ethical imperative for scientists: research, education and service to societyMark FrankelCS18.3 The intertwined nature of social responsibility and hope in scienceDaniel Vasgird, Stephanie BirdCS18.4 Common barriers that impede our ability to create a culture of trustworthiness in the research communityMark Yarborough19. Publication ethicsCS19.1 The authors' forum: A proposed tool to improve practices of journal editors and promote a responsible research environmentIbrahim Alorainy, Khalid Al-WazzanCS19.2 Quantifying research integrity and its impact with text analyticsHarold GarnerCS19.3 A closer look at authorship and publication ethics of multi- and interdisciplinary teamsLisa Campo-Engelstein, Zubin Master, Elise Smith, David Resnik, Bryn Williams-JonesCS19.4 Invisibility of duplicate publications in biomedicineMario Malicki, Ana Utrobicic, Ana Marusic20. The causes of bad and wasteful research: What can we do?CS20.1 From countries to individuals: unravelling the causes of bias and misconduct with multilevel meta-meta-analysisDaniele Fanelli, John PA IoannidisCS20.2 Reducing research waste by integrating systems of oversight and regulationGerben ter Riet, Tom Walley, Lex Marius BouterCS20.3 What are the determinants of selective reporting?: The example of palliative care for non-cancer conditionsJenny van der Steen, Lex BouterCS20.4 Perceptions of plagiarism, self-plagiarism and redundancy in research: preliminary results from a national survey of Brazilian PhDsSonia Vasconcelos, Martha Sorenson, Francisco Prosdocimi, Hatisaburo Masuda, Edson Watanabe, José Carlos Pinto, Marisa Palácios, José Lapa e Silva, Jacqueline Leta, Adalberto Vieyra, André Pinto, Mauricio Sant’Ana, Rosemary Shinkai21. Are there country-specific elements of misconduct?CS21.1 The battle with plagiarism in Russian science: latest developmentsBoris YudinCS21.2 Researchers between ethics and misconduct: A French survey on social representations of misconduct and ethical standards within the scientific communityEtienne Vergès, Anne-Sophie Brun-Wauthier, Géraldine VialCS21.3 Experience from different ways of dealing with research misconduct and promoting research integrity in some Nordic countriesTorkild VintherCS21.4 Are there specifics in German research misconduct and the ways to cope with it?Volker Bähr, Charité22. Research integrity teaching programmes and their challengesCS22.1 Faculty mentors and research integrityMichael Kalichman, Dena PlemmonsCS22.2 Training the next generation of scientists to use principles of research quality assurance to improve data integrity and reliabilityRebecca Lynn Davies, Katrina LaubeCS22.3 Fostering research integrity in a culturally-diverse environmentCynthia Scheopner, John GallandCS22.4 Towards a standard retraction formHervé Maisonneuve, Evelyne Decullier23. Commercial research and integrityCS23.1 The will to commercialize: matters of concern in the cultural economy of return-on-investment researchBrian NobleCS23.2 Quality in drug discovery data reporting: a mission impossible?Anja Gilis, David J. Gallacher, Tom Lavrijssen, Malwitz David, Malini Dasgupta, Hans MolsCS23.3 Instituting a research integrity policy in the context of semi-private-sector funding: an example in the field of occupational health and safetyPaul-Emile Boileau24. The interface of publication ethics and institutional policiesCS24.1 The open access ethical paradox in an open government effortTony SavardCS24.2 How journals and institutions can work together to promote responsible conductEric MahCS24.3 Improving cooperation between journals and research institutions in research integrity casesElizabeth Wager, Sabine Kleinert25. Reproducibility of research and retractionsCS25.1 Promoting transparency in publications to reduce irreproducibilityVeronique Kiermer, Andrew Hufton, Melanie ClyneCS25.2 Retraction notices issued for publications by Latin American authors: what lessons can we learn?Sonia Vasconcelos, Renan Moritz Almeida, Aldo Fontes-Pereira, Fernanda Catelani, Karina RochaCS25.3 A preliminary report of the findings from the Reproducibility Project: Cancer biologyElizabeth Iorns, William Gunn26. Research integrity and specific country initiativesCS26.1 Promoting research integrity at CNRS, FranceMichèle Leduc, Lucienne LetellierCS26.2 In pursuit of compliance: is the tail wagging the dog?Cornelia MalherbeCS26.3 Newly established research integrity policies and practices: oversight systems of Japanese research universitiesTakehito Kamata27. Responsible conduct of research and country guidelinesCS27.1 Incentives or guidelines? Promoting responsible research communication through economic incentives or ethical guidelines?Vidar EnebakkCS27.3 Responsible conduct of research: a view from CanadaLynn PenrodCS27.4 The Danish Code of Conduct for Research Integrity: a national initiative to promote research integrity in DenmarkThomas Nørgaard, Charlotte Elverdam28. Behaviour, trust and honestyCS28.1 The reasons behind non-ethical behaviour in academiaYves FassinCS28.2 The psychological profile of the dishonest scholarCynthia FekkenCS28.3 Considering the implications of Dan Ariely’s keynote speech at the 3rd World Conference on Research Integrity in MontréalJamal Adam, Melissa S. AndersonCS28.4 Two large surveys on psychologists’ views on peer review and replicationJelte WichertsBrett Buttliere29. Reporting and publication bias and how to overcome itCS29.1 Data sharing: Experience at two open-access general medical journalsTrish GrovesCS29.2 Overcoming publication bias and selective reporting: completing the published recordDaniel ShanahanCS29.3 The EQUATOR Network: promoting responsible reporting of health research studiesIveta Simera, Shona Kirtley, Eleana Villanueva, Caroline Struthers, Angela MacCarthy, Douglas Altman30. The research environment and its implications for integrityCS30.1 Ranking of scientists: the Russian experienceElena GrebenshchikovaCS30.4 From cradle to grave: research integrity, research misconduct and cultural shiftsBronwyn Greene, Ted RohrPARTNER SYMPOSIAPartner Symposium AOrganized by EQUATOR Network, Enhancing the Quality and Transparency of Health ResearchP1 Can we trust the medical research literature?: Poor reporting and its consequencesIveta SimeraP2 What can BioMed Central do to improve published research?Daniel Shanahan, Stephanie HarrimanP3 What can a "traditional" journal do to improve published research?Trish GrovesP4 Promoting good reporting practice for reliable and usable research papers: EQUATOR Network, reporting guidelines and other initiativesCaroline StruthersPartner Symposium COrganized by ENRIO, the European Network of Research Integrity OfficersP5 Transparency and independence in research integrity investigations in EuropeKrista Varantola, Helga Nolte, Ursa Opara, Torkild Vinther, Elizabeth Wager, Thomas NørgaardPartner Symposium DOrganized by IEEE, the Institute of Electrical and Electronics EngineersRe-educating our author community: IEEE's approach to bibliometric manipulation, plagiarism, and other inappropriate practicesP6 Dealing with plagiarism in the connected world: An Institute of Electrical and Electronics Engineers perspectiveJon RokneP7 Should evaluation of raises, promotion, and research proposals be tied to bibliometric indictors? What the Institute of Electrical and Electronics Engineers is doing to answer this questionGianluca SettiP8 Recommended practices to ensure conference content qualityGordon MacPhersonPartner Symposium EOrganized by the Committee on Freedom and Responsibility in the Conduct of Science of ICSU, the International Council for ScienceResearch assessment and quality in science: perspectives from international science and policy organisationsP9 Challenges for science and the problems of assessing researchEllen HazelkornP10 Research assessment and science policy developmentCarthage SmithP11 Research integrity in South Africa: the value of procedures and processes to global positioningRobert H. McLaughlinP12 Rewards, careers and integrity: perspectives of young scientists from around the worldTatiana Duque MartinsPartner Symposium FOrganized by the Online Resource Center for Ethics Education in Engineering and Science / Center for Engineering, Ethics, and Society of the National Academy of EngineeringP13 Research misconduct: conceptions and policy solutionsTetsuya Tanimoto, Nicholas Steneck, Daniele Fanelli, Ragnvald Kalleberg, Tajammul HusseinPartner Symposium HOrganized by ORI, the Office of Research Integrity; Universitas 21; and the Asia Pacific Research Integrity NetworkP14 International integrity networks: working together to ensure research integrityPing Sun, Ovid Tzeng, Krista Varantola, Susan ZimmermanPartner Symposium IOrganized by COPE, the Committee on Publication EthicsPublication without borders: Ethical challenges in a globalized worldP15 Authorship: credit and responsibility, including issues in large and interdisciplinary studiesRosemary ShinkaiPartner Symposium JOrganized by CITI, the Cooperative Institutional Training InitiativeExperiences on research integrity educational programs in Colombia, Costa Rica and PeruP16 Experiences in PeruRoxana LescanoP17 Experiences in Costa RicaElizabeth HeitmanP18 Experiences in ColumbiaMaria Andrea Rocio del Pilar Contreras NietoPoster Session B: Education, training, promotion and policyPT.01 The missing role of journal editors in promoting responsible researchIbrahim Alorainy, Khalid Al-WazzanPT.02 Honorary authorship in Taiwan: why and who should be in charge?Chien Chou, Sophia Jui-An PanPT.03 Authorship and citation manipulation in academic researchEric Fong, Al WilhitePT.04 Open peer review of research submission at medical journals: experience at BMJ Open and The BMJTrish GrovesPT.05 Exercising authorship: claiming rewards, practicing integrityDésirée Motta-RothPT.07 Medical scientists' views on publication culture: a focus group studyJoeri Tijdink, Yvo SmuldersPoster Session B: Education, training, promotion and policyPT.09 Ethical challenges in post-graduate supervisionLaetus OK LateganPT.10 The effects of viable ethics instruction on international studentsMichael Mumford, Logan Steele, Logan Watts, James Johnson, Shane Connelly, Lee WilliamsPT.11 Does language reflect the quality of research?Gerben ter Riet, Sufia Amini, Lotty Hooft, Halil KilicogluPT.12 Integrity complaints as a strategic tool in policy decision conflictsJanneke van Seters, Herman Eijsackers, Fons Voragen, Akke van der Zijpp and Frans BromPoster Session C: Ethics and integrity intersectionsPT.14 Regulations of informed consent: university-supported research processes and pitfalls in implementationBadaruddin Abbasi, Naif Nasser AlmasoudPT.15 A review of equipoise as a requirement in clinical trialsAdri LabuschagnePT.16 The Research Ethics Library: online resource for research ethics educationJohanne Severinsen, Espen EnghPT.17 Research integrity: the view from King Abdulaziz City for Science and TechnologyDaham Ismail AlaniPT. 18 Meeting global challenges in high-impact publications and research integrity: the case of the Malaysian Palm Oil BoardHJ. Kamaruzaman JusoffPT.19 University faculty perceptions of research practices and misconductAnita Gordon, Helen C. HartonPoster Session D: International perspectivesPT.21 The Commission for Scientific Integrity as a response to research fraudDieter De Bruyn, Stefanie Van der BurghtPT. 22 Are notions of the responsible conduct of research associated with compliance with requirements for research on humans in different disciplinary traditions in Brazil?Karina de Albuquerque Rocha, Sonia Maria Ramos de VasconcelosPT.23 Creating an environment that promotes research integrity: an institutional model of Malawi Liverpool Welcome TrustLimbanazo MatandikaPT.24 How do science policies in Brazil influence user-engaged ecological research?Aline Carolina de Oliveira Machado Prata, Mark William NeffPoster Session E: Perspectives on misconductPT.26 What “causes” scientific misconduct?: Testing major hypotheses by comparing corrected and retracted papersDaniele Fanelli, Rodrigo Costas, Vincent LarivièrePT.27 Perception of academic plagiarism among dentistry studentsDouglas Leonardo Gomes Filho, Diego Oliveira GuedesPT. 28 a few bad apples?: Prevalence, patterns and attitudes towards scientific misconduct among doctoral students at a German university hospitalVolker Bähr, Niklas Keller, Markus Feufel, Nikolas OffenhauserPT. 29 Analysis of retraction notices published by BioMed CentralMaria K. Kowalczuk, Elizabeth C. MoylanPT.31 "He did it" doesn't work: data security, incidents and partnersKatie SpeanburgPoster Session F: Views from the disciplinesPT.32 Robust procedures: a key to generating quality results in drug discoveryMalini Dasgupta, Mariusz Lubomirski, Tom Lavrijssen, David Malwitz, David Gallacher, Anja GillisPT.33 Health promotion: criteria for the design and the integrity of a research projectMaria Betânia de Freitas Marques, Laressa Lima Amâncio, Raphaela Dias Fernandes, Oliveira Patrocínio, and Cláudia Maria Correia Borges RechPT.34 Integrity of academic work from the perspective of students graduating in pharmacy: a brief research studyMaria Betânia de Freitas Marques, Cláudia Maria Correia Borges Rech, Adriana Nascimento SousaPT.35 Research integrity promotion in the Epidemiology and Health Services, the journal of the Brazilian Unified Health SystemLeila Posenato GarciaPT.36 When are clinical trials registered? An analysis of prospective versus retrospective registration of clinical trials published in the BioMed Central series, UKStephanie Harriman, Jigisha PatelPT.37 Maximizing welfare while promoting innovation in drug developmentFarida LadaOther posters that will be displayed but not presented orally:PT.38 Geoethics and the debate on research integrity in geosciencesGiuseppe Di Capua, Silvia PeppoloniPT.39 Introducing the Professionalism and Integrity in Research Program James M. DuBois, John Chibnall, Jillon Van der WallPT.40 Validation of the professional decision-making in research measureJames M. DuBois, John Chibnall, Jillon Van der Wall, Raymond TaitPT.41 General guidelines for research ethicsJacob HolenPT. 42 A national forum for research ethicsAdele Flakke Johannessen, Torunn EllefsenPT.43 Evaluation of integrity in coursework: an approach from the perspective of the higher education professorClaudia Rech, Adriana Sousa, Maria Betânia de Freitas MarquesPT.44 Principles of geoethics and research integrity applied to the European Multidisciplinary Seafloor and Water Column Observatory, a large-scale European environmental research infrastructureSilvia Peppoloni, Giuseppe Di Capua, Laura BeranzoliF1 Focus track on improving research systems: the role of fundersPaulo S.L. Beirão, Susan ZimmermanF2 Focus track on improving research systems: the role of countriesSabine Kleinert, Ana MarusicF3 Focus track on improving research systems: the role of institutionsMelissa S. Anderson, Lex Bouter. (shrink)

Context: In 2015, we are surrounded by tools and technologies for creating and making, thinking and learning. But classroom “learning” is often focused on learning about the tool/technology itself, rather than learning with or through the technology. Problem: A constructionist theory of learning offers useful ways for thinking about how technology can be included in the service of learning in K-12 classrooms. To support constructionism in the classroom, we need to focus on supporting teachers, who necessarily serve as the agents (...) of classroom-level innovations. This article explores a central question: How can we support teachers to engage with constructionism as a way to think beyond a technocentric view in the classroom? Method: I approach this work from the perspective of a designer, using the process of supporting teachers working with the Scratch programming language in K-12 classrooms as a central example. I draw on reflections from six years of the ScratchEd project, which includes interviews with 30 teachers, and observations from teacher professional development events and an online community of educators. Results: I describe five sets of tensions that I encountered while designing the ScratchEd model of professional development: tensions between tool and learning, direction and discovery, individual and group, expert and novice, and actual and aspirational. I describe how these tensions are negotiated within the elements of the PD model (an online community, participatory meetups, and an online workshop. Implications: The tensions I describe are not specific to Scratch, and can serve as a more general model for PD designers to scrutinize and critique. Constructivist content: This work contributes to ongoing conversations and questions about how to support constructivist/constructionist approaches in classrooms. (shrink)

Tetris provides a difficult, dynamic task environment within which some people are novices and others, after years of work and practice, become extreme experts. Here we study two core skills; namely, choosing the goal or objective function that will maximize performance and a feature-based analysis of the current game board to determine where to place the currently falling zoid so as to maximize the goal. In Study 1, we build cross-entropy reinforcement learning models to determine whether different goals (...) result in different feature weights. Two of these optimization strategies quickly rise to performance plateaus, whereas two others continue toward higher but more jagged heights. In Study 2, we compare the zoid placement decisions made by our best CERL models with those made by 67 human players. Across 370,131 human game episodes, two CERL models picked the same zoid placements as our lowest scoring human for 43% of the placements and as our three best scoring experts for 65% of the placements. Our findings suggest that people focus on maximizing points, not number of lines cleared or number of levels reached. They also show that goal choice influences the choice of zoid placements for CERLs and suggest that the same is true of humans. Tetris has a repetitive task structure that makes Tetris more tractable and more like a traditional experimental psychology paradigm than many more complex games or tasks. Hence, although complex, Tetris is not overwhelmingly complex and presents a right-sized challenge to cognitive theories, especially those of integrated cognitive systems. (shrink)

Introduction Hundreds of thousands of premature neonates born in low-income countries are implicitly denied treatment each year. Studies from India show that treatment is rationed even for neonates born at 32 gestational age weeks (GAW), and multiple external factors influence treatment decisions. Is withholding of life-saving treatment for children born between 28 and 32 GAW acceptable from an ethical perspective? Method A seven-step impartial ethical analysis, including outcome analysis of four accepted priority criteria: severity of disease, treatment effect, cost effectiveness (...) and evidence for neonates born at 28 and 32 GAW. Results The ethical analysis sketches out two possibilities: (a) It is not ethically permissible to limit treatment to neonates below 32 GAW when assigning high weight to health maximisation and overall health equality. Neonates below 32 GAW score high on severity of disease and efficiency and cost-effectiveness of treatment if one gives full weight to early years of a newborn life. It is in the child's best interest to be treated. (b) It can be considered ethically permissible if high weight is assigned to reducing inequality of welfare and maximising overall welfare and/or not granting full weight to early years of newborns is considered acceptable. From an equity-motivated health and welfare perspective, we would not accept (b), as it relies on accepting the lack of proper welfare policies for the poor and disabled in India. Conclusion Explicit priority processes in India for financing neonatal care are needed. If premature neonates are perceived as worth less than other patient groups, the reasons should be explored among a broad range of stakeholders. (shrink)

Tetris provides a difficult, dynamic task environment within which some people are novices and others, after years of work and practice, become extreme experts. Here we study two core skills; namely, choosing the goal or objective function that will maximize performance and a feature-based analysis of the current game board to determine where to place the currently falling zoid so as to maximize the goal. In Study 1, we build cross-entropy reinforcement learning models to determine whether different goals (...) result in different feature weights. Two of these optimization strategies quickly rise to performance plateaus, whereas two others continue toward higher but more jagged heights. In Study 2, we compare the zoid placement decisions made by our best CERL models with those made by 67 human players. Across 370,131 human game episodes, two CERL models picked the same zoid placements as our lowest scoring human for 43% of the placements and as our three best scoring experts for 65% of the placements. Our findings suggest that people focus on maximizing points, not number of lines cleared or number of levels reached. They also show that goal choice influences the choice of zoid placements for CERLs and suggest that the same is true of humans. Tetris has a repetitive task structure that makes Tetris more tractable and more like a traditional experimental psychology paradigm than many more complex games or tasks. Hence, although complex, Tetris is not overwhelmingly complex and presents a right-sized challenge to cognitive theories, especially those of integrated cognitive systems. (shrink)

Rapid and precise air operation mission planning is a key technology in unmanned aerial vehicles autonomous combat in battles. In this paper, an end-to-end UAV intelligent mission planning method based on deep reinforcement learning is proposed to solve the shortcomings of the traditional intelligent optimization algorithm, such as relying on simple, static, low-dimensional scenarios, and poor scalability. Specifically, the suppression of enemy air defense mission planning is described as a sequential decision-making problem and formalized as a Markov (...) decision process. Then, the SEAD intelligent planning model based on the proximal policy optimization algorithm is established and a general intelligent planning architecture is proposed. Furthermore, three policy training tricks, i.e., domain randomization, maximizing policy entropy, and underlying network parameter sharing, are introduced to improve the learning performance and generalizability of PPO. Experiments results show that the model in this work is efficient and stable, and can be adapted to the unknown continuous high-dimensional environment. It can be concluded that the UAV intelligent mission planning model based on DRL has powerful intelligent planning performance, and provides a new idea for researching UAV autonomy. (shrink)

This essay introduces a special report from The Hastings Center entitled Democracy in Crisis: Civic Learning and the Reconstruction of Common Purpose, which grew out of a project supported by the John S. and James L. Knight Foundation. This multiauthored report offers wide‐ranging assessments of increasing polarization and partisanship in American government and politics, and it proposes constructive responses to this in the provision of objective information, institutional reforms in government and the electoral system, and a reexamination of cultural and (...) political values needed if democracy is to function well in a pluralistic and diverse society. The essays in the special report explore the norms of civic learning and institutions, social movements, and communal innovations that can revitalize civic learning in practice. This introductory essay defines and explains the notion of civic learning, which is a lynchpin connecting many of the essays in the report. Civic learning pertains to the ways in which citizens learn about collective social problems and make decisions about them that reflect the duties and responsibilities of citizenship. Such learning can occur in many social settings in everyday life, and it can also be facilitated through participation in the processes of democratic governance on many levels. Civic learning is not doctrinaire and is compatible with a range of public goals and policies. It is an activity that increases what might be called the democratic capability of a people. (shrink)

Turkey has passed the import substitution economic model to a new model of the economy called open out since 1980. Along with the neoliberal policies implemented, the process of integration with the global economy has begun. The incomes of the religious people who cannot be excluded from the effects of this articulation also increased and their consumption behaviors has changed. On the other hand, some transport elements, especially the media, have enabled consumption codes to reach different segments. The new values (...) emerged in this process also caused transformations in individual consumption trends. In this study, the "Scale of Consumption Dynamics" (SCD) was developed in order to identify the trends of consumption of devotees and to find out how they changed. Quantitative research approach was adopted in the study and the datas were collected by face-to-face survey technique. The individuals included in our sample were selected by quota sampling. In this study, an expression pool was created as a result of literature review, expert opinion consultation, brainstorming with academicians and observations. The validity and reliability analysis of the scale was made using different statistics through the SPSS program. As a result of these steps, the dimensions of the scale consisting of 16 items and 3 dimensions are called "showy consumption", "wasteful consumption" and "religious priority consumption". Summary: The first studies on consumption history and sociology belong to Marx, Weber, Veblen and Simmel. In these studies consumption is examined as a part of production process and consumption forms were investigated as a social class aspect. Consumption phenomenon was later studied under critical approach (Frankfurt School) with Adorno, Max Horkheimer, Herbert Marcuse and Erich Fromm’s theories. Theorists at Frankfurt School study how social structure steers individuals to consumption. After the 1970’s, the meaning of consumption phenomenon has changed. There are studies by Jean Baudrillard, Mike Featherstone, George Ritzer, and Zygmunt Bauman on changing phenomenon of consumption. It is widely believed that modern consumption phenomenon was originated in the USA after the World War II. After the war Keynesian economic policies and Fordist consumption forms later influenced other Western nations. After 1950’s and 1960’s mass consumption was initiated in the USA and except very poor sections of the nations, other social classes, it started to spread out in Europe, the USA, and other countries. In 1970’s and 1980’s, it has merged with individuals’ identity definitions. After 1980’s in Turkey a new economic policy instead of import substitution was adopted. In application along with neo liberal policies, Turkey started to integrate to the rest of the World. Religious people as well influenced these changes and their incomes have increased along with their consumption habits. In addition to media, some other forms of communication channels have carried new consumption habits to other sections of the society. With the increased effects of mass communication media, new social sections have emerged and their cultural characteristics have become the norms of the whole society. A new values created in this process also transformed the consumption habits. In this article, in order to assess consumption habits of religious people as it is now and to understand which direction these habits evolve, Consumption Dynamics Scale (CDS) has been developed. Scales are widely used when a researcher tries to identify and measure respondents’ feelings and ideas on a subject matter. There are different scales used in social sciences such as Thurstone, Likert, Guttman, and Bogardus that are among the most widely used ones. A Likert Type scale has been used in this study. In the first phase of the study and pilot study 5 point Likert scale and in the second phase of the study 10 point Likert scales was used to collect the data. We could not come across with any study in the literature on investigating consumption characteristics Dynamics of individuals with a formal religious education. In the study, quantitative research method has been adopted and the research data has been collected with face to face administration of the survey instrument. The scale development phase lasted about 6 months from August, 2016. Based on 3% error rate, we determined to sufficient sample size as 516, yet we reached 600 individuals and end up with 563 usable responses. Sample has been determined with quota sampling methodology. We formed a pool of statements based on literature review, expert opinion, brain storming with academicians. 49 questions have been selected from the question pool where 93 questions were found, then they are merged, some questions are changed or totally eliminated and final 30 questioned questionnaires made ready for pilot study. Two pilot studies have been carried out. In the first pilot study, 47 people are reached and 30 questions with Likert scales have been administered. In the second phase of the study, 10 point Likert scales with 57 questions has been given to 54 individuals. After pilot studies, data was analyzed with SPSS 20 version and 32 questioned final survey instrument has been formed. In order to check sufficiency of data set for Factor Analysis Kaisser-Meyer-Olkin (KMO) test and the relationships among variables Bartlett test were used. Sample composed of 563 responses revealed significant results (3358,808, p=0,000) and KMO test revealed (KMO=0,812) value. After expletory factor analysis, factor loading less than 0,40 were deleted from the scale. Hence the final structure is composed of 29 questions with 8 different factors. The reliability of scales were calculated with Cronbach Alfa analysis separately for each dimension. After reliability analysis, items with 0,60 and less reliability score were taken out from the scales. Finally 16 items were made up 3 dimensions namely “ostentatious consumption”, “wasteful consumption”, and “religious priority consumption”. The items in Factor 1 are related with luxury, fashion and statue, in Factor 2 desire to make more shopping, purchase without need, advertisement and showcase, and factor 3 religious sensitive reference focus and religion first purchasing are decided as appropriate names. Based on the analysis, measurement was decided valid and sound. Therefore, this study is believed to contribute significantly to the existing literature. (shrink)

The relevance of the research In the face of increasing global competition, business was challenged to seek new methods for creating their competitive advantage and at the same time the decreasing budgets of higher education institutions were pressured to find new streams of financing. In both cases, collaboration is seen as an important method for achieving their objectives but universities of today have as well to find the appropriate balance between teaching, basic and applied research, and entrepreneurship. Ten types of (...) university-business collaboration are related quite directly to the missions of the university and the needs of business. Curriculum development and delivery is one of that ten, which aim is to develop human resources to modern society. A summary of benefits was identified in the academic literature as arising from UBC in relation to curriculum design and delivery for multiple stakeholders including academics, students, university administration, business and community. Overall, UBC may take various forms that are influenced by different factors but even if all stakeholders seeks the main purpose of this process they may get different benefits. The research aim was to identify the benefits of universities and business organizations in curriculum development. The objectives of the research: to determine the instruments and activities used for universities and business organizations collaboration, to identify universities and business organizations benefits from collaboration to the various stakeholder groups. Analysis of recent research and publications. UBC became the subject of education and management sciences. P. D'Este and M. Perkmann explored the factors of UBC, the types were identified by T. Davey, T. Baaken, V. Galan Muros, A. Meerman, T. Barnes, A. Gibbons and the levels of UBC were represented by B.N. Ponomariov, P.C. Boardman, T. Davey, R. Laužackas. The benefits of UBC to research quality have been studied by researchers T. Davey, M. Crespo, N. Carayol, H. Forsyth, R. Laxton, S. Lamichhane, T. Nath Sharma, P. Van der Sijde and H. Dridi, as a collaborative factor for learning improvement by researchers K. Ramakrishnan, N.M. Yasin, A. Draghici. An overview of the study of this object shows that it was mostly analysed in vocational training and in last ten years’ period the publications is growing in UBC. Research methodology. The paper seeks to represent the UBC benefits for different stakeholders and collaboration forms, which was used by university with the business organizations from leisure industry. Quantitative research was used to gain quantify opinions of benefits and instruments of UBC – and generalize results from a larger sample population. Methods applied for the research was scientific literature review, a questionnaire survey for business organization leaders and mathematical statistics. Conclusion. The benefits of the UVB were grouped according to the type of stakeholder's: society, university administration, academics, entrepreneurs, students. The benefits of business stakeholders include additional funding, access to education resources, lecturer and coordinator, support in evaluating the program and developing new study subjects. The highest rated benefit to others stakeholders from their view could be reducing academic staff training costs, as well as business information available to student projects, skills development and student employment opportunities and human resource development in the region. (shrink)

Background The emergence of molecular HIV surveillance (MHS) and cluster detection and response (CDR) programs as key features of the United States (US) HIV strategy since 2018 has caused major controversies. HIV surveillance programs that re-use individuals’ routinely collected clinical HIV data do not require consent on the basis that the public benefit of these programs outweighs individuals’ rights to opt out. However, criticisms of MHS/CDR have questioned whether expanded uses of HIV genetic sequence data for prevention reach beyond traditional (...) public health ethics frameworks. This study aimed to explore views on consent within MHS/CDR among critical stakeholders.Methods In 2021 we interviewed 26 US HIV stakeholders who identified as being critical or concerned about the rollout of MHS/CDR. Stakeholders included participants belonging to networks of people living with HIV, other advocates, academics, and public health professionals. This analysis focused on identifying the range of positions among critical and concerned stakeholders on consent affordances, opt-outs, how to best inform people living with HIV about how data about them are used in public health programs, and related ethical issues.Results Participants were broadly supportive of introducing some forms of consent into MHS/CDR. However, they differed on the specifics of implementing consent. While some participants did not support introducing consent affordances, all supported the idea that people living with HIV should be informed about how HIV surveillance and prevention is conducted and how individuals’ data are used.Conclusions MHS/CDR has caused sustained controversy. Among critical stakeholders, consent is generally desirable but contested, although the right for people living with HIV to be informed was centrally supported. In an era of big data-driven public health interventions and routine uses of HIV genetic sequence data in surveillance and prevention, CDC and other agencies should revisit public health ethics frameworks and consider the possibility of consent processes. (shrink)

BackgroundRadiotherapy is an essential component of cancer treatment, yet many countries do not have adequate capacity to serve all patients who would benefit from it. Allocation systems are needed to guide patient prioritization for radiotherapy in resource-limited contexts. These systems should be informed by allocation principles deemed relevant to stakeholders. This study explores the ethical dilemmas and views of decision-makers engaged in real-world prioritization of scarce radiotherapy resources at a cancer center in Rwanda in order to identify relevant principles.MethodsSemi-structured (...) interviews were conducted with a purposive sample of 22 oncology clinicians, program leaders, and clinical advisors. Interviews explored the factors considered by decision-makers when prioritizing patients for radiotherapy. The framework method of thematic analysis was used to characterize these factors. Bioethical analysis was then applied to determine their underlying normative principles.ResultsParticipants considered both clinical and non-clinical factors relevant to patient prioritization for radiotherapy. They widely agreed that disease curability should be the primary overarching driver of prioritization, with the goal of saving the most lives. However, they described tension between curability and competing factors including age, palliative benefit, and waiting time. They were divided about the role that non-clinical factors such as social value should play, and agreed that poverty should not be a barrier.ConclusionsMultiple competing principles create tension with the agreed upon overarching goal of maximizing lives saved, including another utilitarian approach of maximizing life-years saved as well as non-utilitarian principles, such as egalitarianism, prioritarianism, and deontology. Clinical guidelines for patient prioritization for radiotherapy can combine multiple principles into a single allocation system to a significant extent. However, conflicting views about the role that social factors should play, and the dynamic nature of resource availability, highlight the need for ongoing work to evaluate and refine priority setting systems based on stakeholder views. (shrink)

This essay introduces a special report from The Hastings Center entitled Democracy in Crisis: Civic Learning and the Reconstruction of Common Purpose, which grew out of a project supported by the John S. and James L. Knight Foundation. This multiauthored report offers wide‐ranging assessments of increasing polarization and partisanship in American government and politics, and it proposes constructive responses to this in the provision of objective information, institutional reforms in government and the electoral system, and a reexamination of cultural and (...) political values needed if democracy is to function well in a pluralistic and diverse society. The essays in the special report explore the norms of civic learning and institutions, social movements, and communal innovations that can revitalize civic learning in practice. This introductory essay defines and explains the notion of civic learning, which is a lynchpin connecting many of the essays in the report. Civic learning pertains to the ways in which citizens learn about collective social problems and make decisions about them that reflect the duties and responsibilities of citizenship. Such learning can occur in many social settings in everyday life, and it can also be facilitated through participation in the processes of democratic governance on many levels. Civic learning is not doctrinaire and is compatible with a range of public goals and policies. It is an activity that increases what might be called the democratic capability of a people. (shrink)

A deep reinforcement learning-based computational guidance method is presented, which is used to identify and resolve the problem of collision avoidance for a variable number of fixed-wing UAVs in limited airspace. The cooperative guidance process is first analyzed for multiple aircraft by formulating flight scenarios using multiagent Markov game theory and solving it by machine learning algorithm. Furthermore, a self-learning framework is established by using the actor-critic model, which is proposed to train collision avoidance decision-making neural networks. (...) To achieve higher scalability, the neural network is customized to incorporate long short-term memory networks, and a coordination strategy is given. Additionally, a simulator suitable for multiagent high-density route scene is designed for validation, in which all UAVs run the proposed algorithm onboard. Simulated experiment results from several case studies show that the real-time guidance algorithm can reduce the collision probability of multiple UAVs in flight effectively even with a large number of aircraft. (shrink)

The paper explores the relationship between learning, spirituality and management. The American philoso pher Gregory Bateson's theory on categories of learning provides the backdrop for the analysis and this is compared with a model of spiritual development developed by S.K. Chakraborty from the Indian Institute of Management in Calcutta. These two models propose that spiritual development is linked with both learning and existence, but only those forms of learning and existence which are subjective in nature and inspire the learner to (...) pursue a path of self development. The models suggest that while the traditional frameworks of spiritual teaching via the church and the like might satisfy many Christians, its domination is coming under threat by a growing number in the community who are seeking a form of spirituality that is less connected with dogma. The form of learning that this movement represents finds its parallel in management, with the emergence offlatter structures and finding ways to involve employees in the decision-making process. The article presents the results of a survey conducted at the 1998 Spirituality, Leadership and Management conference to determine attendees'views on spirituality, leadership and management, and how these comform to the expectations as outlined in Bateson's categories of learning and Chakraborty's categories of existence. (shrink)

Profit Sharing is one of the reinforcement learning methods. An agent, as a learner, selects an action with a state-action value and receives rewards when it reaches a goal state. Then it distributes receiving rewards to state-action values. This paper discusses how to set the initial value of a state-action value. A distribution function ƒ( x ) is called as the reinforcement function. On Profit Sharing, an agent learns a policy by distributing rewards with the reinforcement (...) function. On Markov Decision Processes (MDPs), the reinforcement function ƒ( x ) = 1/ L x is useful, and on Partially Observable Markov Decision Processes (POMDPs), ƒ( x ) = 1/ L w is useful, where L is the sufficient number of rules at each state, and W is the length of an episode. If episodes are always long, the value of the reinforcement function is little. So the differences of rule values become little, and the agent learns little by using the roulette selection as an action selection. This problem is called as Learning Speed Problem. If the value of the reinforcement function for an action is very higher than its state-action value, an agent will not select other action. There is a problem when its action is not a optimal action. This problem is called as Past Experiences Problem. This paper shows that both Learning Speed Problem and Past Experiences Problem are caused by the bad setting between the initial values of a state-action values and the function values of a reinforcement function. We propose how to set the initial values of a state-action values at each state. The experiment shows that an agent can learn correctly even if the length of episode is large. And shows the effectiveness on both MDPs and POMDPs. Our proposed method focuses on the initialization of state-action values and does not limit reinforcement functions. So it can apply to any reinforcement function. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 11.2 (2004) 165-173 [Access article in PDF] Professional Judgment, Critical Realism, Real People, and, Yes, Two Wrongs Can Make a Right! K.W.M. Fulford Anthony Colombo Keywords values, values-based practice, models of disorder, concept of mental illness, user-centred practice, patient-centred practice, multidisciplinary teamwork We are grateful to our four commentators for putting much-needed conceptual air and space around the models project. Published originally as an empirical (...) study of the different implicit models of disorder, held by users of services, carers, nurses, psychiatrists, and social workers (Colombo et al. 2003), our paper outlined the philosophical roots of the models project in linguistic analytic philosophy of the "Oxford school" (Fulford and Colombo 2004). Our four commentators provide extra dimensions of understanding, respectively from professional education (Williams 2004), sociology (Bendelow 2004), Heideggerian phenomenology (Heginbotham 2004), and mental health policy and practice (Williamson 2004).Since the original study, the models project has been taken forward as a key contribution to a range of philosophy-into-practice initiatives called, collectively, Values-Based Practice. In this brief response, we outline the key features of Values-Based Practice and indicate how these connect with some of the many thoughtful points about models made by our commentators. Values-Based Practice Values-Based Practice, then, is the theory and skills-base for effective health care decision making where different, and hence potentially conflicting, values are in play (Fulford 2004). Premised on the democratic meta-value of equal respect for all voices, Values-Based Practice relies, much as a political democracy relies, on good process rather than preset outcomes for its practical effectiveness. The ten pointers to good process in Values-Based Practice are summarized in Figure 1. We return to the implications of these for the work on models below.Relying on good process may be thought to be a recipe more for relativism and indecision in clinical decision making than for practical effectiveness. To the contrary, however, the 'values democracy' of Values-Based Practice, again like a political democracy, carries a number of clear and coherent implications for policy and practice in health care. [End Page 165] Click for larger viewFigure 1 10 Pointers to Good Process in VBP [End Page 166]Examples of the implications of Values-Based Practice for policy and practice are given in the Values Framework shown in Figure 2. This is a policy framework for the development of Values-Based Practice in mental health produced by a project group in the National Institute for Mental Health in England (NIMHE), the section of the UK's National Health Service (NHS) responsible for implementing government policy on mental health as embodied in the National Service Framework for Mental Health (Department of Health 1999) and subsequent policies. The framework gives three key principles of Values-Based Practice (the three Rs of recognition, raising awareness, and respect) and then summarizes some of the specific implications of the approach. Racism, for example, is incompatible with Values-Based Practice because racism is by definition intolerant of diversity. Again, we indicate some of the policy implications of Values-Based Practice for the points about models made by our commentators below.Training for mental health practitioners in Values-Based Practice will be rolled out from April 2005, through both voluntary and statutory bodies, in each of the eight regions of the National Health Service of England and Wales. This roll out will be supported by training methods developed and piloted in a unique joint venture between Warwick University's Department of Philosophy and Medical School, and an in-service training provider, the Sainsbury Centre for Mental Health (Fulford, Williamson, and Woodbridge 2002; Woodbridge and Fulford 2003). These training methods are the basis of a detailed workbook for Values-Based Practice (Woodbridge and Fulford 2004). The workbook will be launched in July 2004 at a conference in London by the Minister of State with responsibility for mental health, Rosie Winterton. Professional Training and Professional Judgment The models project has been central to the development of... (shrink)

Context: The main problem is the rather marginal status of radical constructivism within its core domains of brain research, cognition and learning. Problem: The basic goal is to provide a short history of radical constructivism and its institutionalization processes. Additionally, the article specifies critical conditions that should be met in order for radical constructivism to become a mainstream endeavor. Method: The main methods used are those of comparative historical research. Results: The main results lie in the specification of missing elements (...) that have blocked radical constructivism becoming a mainstream endeavor. Implications: The paper might serve as a common reference for necessary steps to be taken over the following years in order to move radical constructivism out of its current weak position. (shrink)

This book describes how different nations have defined the core competencies and skills that young people will need in order to thrive in twenty-first-century jobs, and how those nations have fashioned educational policies and curricula meant to promote those skills. The book examines six countries--Chile, China, India, Mexico, Singapore, and the United States--exploring how each one defines, supports, and cultivates those competencies that students will need in order to succeed in the current century. Teaching and Learning for the Twenty-First Century (...) appears at a time of heightened attention to comparative studies of national education systems, and to international student assessments such as those that have come out of PISA (the Program for International Student Assessment), led by the Organisation for Economic Co-operation and Development. This book's crucial contribution to the burgeoning field of international education arises out of its special attention to first principles--and thus to first questions: As Reimers and Chung explain, "much can be gained by an explicit investigation of the intended purposes of education, in what they attempt to teach students, and in the related questions of why those purposes and how they are achieved." These questions are crucial to education practice and reform at a time when educators (and the students they serve) face unique, pressing challenges. The book's detailed attention to such questions signals its indispensable value for policy makers, scholars, and education leaders today. (shrink)

This article investigates whether acts of plagiarism are predictable. Through a deductive, quantitative method, this study examines 517 students and their motivation and intention to plagiarize. More specifically, this study uses an ethical theoretical framework called the Theory of Reasoned Action and Planned Behavior to proffer five hypotheses about cognitive, relational, and social processing relevant to ethical decision making. Data results indicate that although most respondents reported that plagiarism was wrong, students with strong intentions to plagiarize had a more (...) positive attitude toward plagiarizing, believed that it was important that family and friends think plagiarizing is acceptable, and perceived that plagiarizing would be an easy task. However, participants in the current study with less intention to plagiarize hold negative views about plagiarism, do not believe that plagiarism is acceptable to family, friends or peers, and perceive that the act of plagiarizing would prove difficult. Based on these findings, this study considers implications important for faculty, librarians, and student support staff in preventing plagiarism through collaborations and outreach programming. (shrink)

Marr's seminal work laid out a program of research by specifying key questions for cognitive science at different levels of analysis. Because dynamic systems theory focuses on time and interdependence of components, DST research programs come to very different conclusions regarding the nature of cognitive change. We review a specific DST approach to cognitive-level processes: dynamic field theory. We review research applying DFT to several cognitive-level processes: object permanence, naming hierarchical categories, and inferring intent, that demonstrate the difference (...) in understanding of behavior and cognition that results from a DST perspective. These point to a central challenge for cognitive science research as defined by Marr—emergence. We argue that appreciating emergence raises questions about the utility of computational-level analyses and opens the door to insights concerning the origin of novel forms of behavior and thought. We contend this is one of the most fundamental questions about cognition and behavior. (shrink)

BackgroundSystems medicine is the name for an assemblage of scientific strategies and practices that include bioinformatics approaches to human biology ; “big data” statistical analysis; and medical informatics tools. Whereas personalized and precision medicine involve similar analytical methods applied to genomic and medical record data, systems medicine draws on these as well as other sources of data. Given this distinction, the clinical translation of systems medicine poses a number of important ethical and epistemological challenges for researchers working to generate systems (...) medicine knowledge and clinicians working to apply it.DiscussionThis article focuses on three key challenges: First, we will discuss the conflicts in decision-making that can arise when healthcare providers committed to principles of experimental medicine or evidence-based medicine encounter individualized recommendations derived from computer algorithms. We will explore in particular whether controlled experiments, such as comparative effectiveness trials, should mediate the translation of systems medicine, or if instead individualized findings generated through “big data” approaches can be applied directly in clinical decision-making. Second, we will examine the case of the Riyadh Intensive Care Program Mortality Prediction Algorithm, pejoratively referred to as the “death computer,” to demonstrate the ethical challenges that can arise when big-data-driven scoring systems are applied in clinical contexts. We argue that the uncritical use of predictive clinical algorithms, including those envisioned for systems medicine, challenge basic understandings of the doctor-patient relationship. Third, we will build on the recent discourse on secondary findings in genomics and imaging to draw attention to the important implications of secondary findings derived from the joint analysis of data from diverse sources, including data recorded by patients in an attempt to realize their “quantified self.”SummaryThis paper examines possible ethical challenges that are likely to be raised as systems medicine to be translated into clinical medicine. These include the epistemological challenges for clinical decision-making, the use of scoring systems optimized by big data techniques and the risk that incidental and secondary findings will significantly increase. While some ethical implications remain still hypothetical we should use the opportunity to prospectively identify challenges to avoid making foreseeable mistakes when systems medicine inevitably arrives in routine care. (shrink)

This book deals with solving a pressing organizational challenge of bringing employees up to speed faster. In the fast-paced business world, organizations need faster readiness of employees to handle the complex responsibilities of their jobs. The author conducted an extensive doctoral research study with 85 global experts across 66 project cases to explore the practices and strategies that were proven to reduce time to proficiency of employees in a range of organizations worldwide. This book provides the readers with a first-hand (...) account of findings exclusively related to training and learning strategies, instructional methods, and curriculum design. This book delivers over 21 training and learning strategies across online learning, classroom instructions, and on-the-job learning. These strategies will allow training designers and learning specialists to design workplace training programs that hold the potential to shorten time to proficiency of employees. The book not only describes findings of the study and theoretical underpinnings, but it also provides practical guidance for implementation to equip corporate learning specialists, HR professionals, training leaders, performance consultants, and direct managers. (shrink)

With contributions from leading experts across disciplinary fields, this book explores best practices from the field's most notable researchers, as well as important historically based and politically focused challenges to a field whose impact has reached an important crossroads. The comprehensive and powerfully critical analysis considers the history of community engagement and service learning, best teaching practices and pedagogies, engagement across disciplines, and current research and policies - and contemplates the future of the field. The book will not only inform (...) faculty, staff, and students on ways to improve their work, but also suggest a bigger social and political focus for programs intended to seriously establish democracy and social justice in their communities and campuses. (shrink)

In research textbooks, and much of the research practice, they describe, qualitative processes and interpretivist epistemologies tend to dominate visual methodology. This article challenges the assumptions behind this dominance. Using exemplification from three existing visual data sets produced through one large education research project, this article considers the affordances and constraints of the research process focusing particularly on analysis. It examines how and when the visual can be incorporated, gives some critical reflections on the role and use of visual methods (...) to fulfil different research intents, and, in particular, considers combining large, open-ended data sets with acceptable and rigorous analysis techniques. We then explore arguments about the nature of visual data, what is considered epistemologically appropriate and the decision-making which accompanies any appraisal of process in education research. The intention is to challenge ourselves, and fellow visual methods researchers, to develop a more complete understanding of the theory and practice of visual research. (shrink)

Previous research has examined growing globalized divisions in domestic labor through the perspective of poor migrant women who perform care work in advanced industrialized societies. This article explores this global trend in reverse, focusing on first-world women who migrate into developing countries and engage with local dynamics of care through volunteer work. Based on 15 months of ethnographic fieldwork with Helping Hands, an organization of expatriate wives that assisted a local state-run orphanage in Beijing, China, I argue that gendered processes (...) of privileged migration caused women to develop a “logic of care” that equated good care solely with maternal nurturance and emotional connection. This logic permeated their volunteer efforts, causing conflicts with Chinese state caregivers who prioritized the performance of reproductive tasks. This case demonstrates the socially constructed nature of logics that underlie care practices and their relationship to increasingly transnational configurations of privilege and inequality. When applied to first-world women’s charitable activities in developing countries, unquestioned gendered logics can reinforce larger global disparities of power through the stratified provision of care. (shrink)

In the case of magnetic resonance imaging (MRI) imaging, image processing is crucial. In the medical industry, MRI images are commonly used to analyze and diagnose tumor growth in the body. A number of successful brain tumor identification and classification procedures have been developed by various experts. Existing approaches face a number of obstacles, including detection time, accuracy, and tumor size. Early detection of brain tumors improves options for treatment and patient survival rates. Manually segmenting brain tumors from a significant (...) number of MRI data for brain tumor diagnosis is a tough and time-consuming task. Automatic image segmentation of brain tumors is required. The objective of this study is to evaluate the degree of accuracy and simplify the medical picture segmentation procedure used to identify the type of brain tumor from MRI results. Additionally, this work suggests a novel method for identifying brain malignancies utilizing the Bagging Ensemble with K-Nearest Neighbor (BKNN) in order to raise the KNN’s accuracy and quality rate. For image segmentation, a U-Net architecture is utilized first, followed by a bagging-based k-NN prediction algorithm for classification. The goal of employing U-Net is to improve the accuracy and uniformity of parameter distribution in the layers. Each decision tree is fitted on a little different training dataset during classification, and the bagged decision trees are effective since each tree has minor differences and generates slightly different skilled predictions. The overall classification accuracy was up to 97.7 percent, confirming the efficiency of the suggested strategy for distinguishing normal and pathological tissues from brain MR images; this is greater than the methods that are already in use. (shrink)

Environmental problems often outstrip the abilities of any single scientist to understand, much less address them. As a result, collaborations within, across, and beyond the environmental sciences are an increasingly important part of the environmental science landscape. Here, we explore an insufficiently recognized and particularly challenging barrier to collaborative environmental science: value pluralism, the presence of non-trivial differences in the values that collaborators bring to bear on project decisions. We argue that resolving the obstacles posed by value pluralism to collaborative (...) environmental science requires detecting and coordinating the underlying problematic value differences. We identify five ways that a team might coordinate their problematic value differences and argue that, whichever mode is adopted, it ought to be governed by participatory virtues, pragmatic resolve, and moral concern. Relying on our experiences with the Toolbox Dialogue Initiative, as well as with other dialogical approaches that support team inquiry, we defend the claim that philosophical dialogue among collaborators can go a long way towards helping teams of environmental scientists and fellow travelers detect their problematic value differences. Where dialogical approaches fare less well is in helping teams coordinate these differences. We close by describing several principles for augmenting philosophical dialogue with other methods, and we list several of these methods in an appendix with brief descriptions and links for further learning. Overall, the article makes three main contributions to the research collaboration and values in science literatures: It deepens our understanding of problematic value pluralism in team science; It provides actionable guidance and methods for improving values-oriented philosophical dialogue interventions; and It demonstrates one way of doing engaged philosophy. (shrink)

Lessons from a great yoga master and an eminent psychoanalyst that explore what psychotherapy and yoga philosophy have in common Yoga philosophy and Freud's revolutionary approach to psychology could not have been developed in more different times, places, or cultural conditions. And yet these two profound and dynamic systems of understanding human behavior, emotions, perception, and what's essential in our existence have an astonishing amount to share. What we learn by comparing their similarities as well as their differences can (...) enhance how we comprehend our lives and our potential for change. In Freud and Yoga, the great yoga master T.K.V. Desikachar and the eminent psychoanalyst Hellfried Krusche examine forty classic sayings, or sūtras, from the vantage point of their respective disciplines. Through clear, candid conversations that draw on long experience and are illustrated by case studies from the clinic and the shala, these two experts explain the concepts, terms, forces, and processes in their traditions. Therapists and patients, yoga adepts and professionals, and readers interested in psychology and spirituality will find this unique investigation fascinating, enriching, and useful. In a time when Western and Eastern modalities have ever more to offer each other, Freud and Yoga is a watershed work--one that draws us closer to understanding our own nature and the deep workings of the human psyche. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 9.4 (2002) 387-394 [Access article in PDF] Psychosis Good and Bad:Values-Based Practice and the Distinction Between Pathological and Nonpathological Forms of Psychotic Experience Mike C. Jackson and K. W. M. Fulford IN TWO PAPERS in this issue of Philosophy, Psychiatry, and Psychology, Marek Marzanski and Mark Bratton (2002) and Caroline Brett (2002) develop important critiques, from the perspectives respectively of Christian theology and Eastern philosophy, (...) of our 1997 analysis of the distinction between pathological and nonpathological forms of psychotic experience (Jackson and Fulford 1997).In this response, we briefly summarize the main points from our 1997 analysis; we consider, separately, the important although very different challenges to that analysis from the perspectives of our two critics; and we briefly indicate the main lines of recent developments in policy, practice, and research in mental health as they relate to this important area of human experience. The Jackson and Fulford (1997) Analysis In our 1997 paper, we presented three case studies from a larger series (Jackson 1991, 1997, 2001) selected with the express aim of bringing into focus the conceptual difficulties that arise at the borderline between psychotic illness and what we called benign spiritual experience. On the basis of these case studies we argued thatspiritual experiences, which are essentially benign, can involve explicitly psychotic phenomenology; traditional psychiatric diagnostic methods, which focus on the form and content of beliefs and experiences, are not capable of distinguishing between pathological and nonpathological forms of such psychotic experiences; [End Page 387]evaluation of such experiences (and claims about "illness" and health more generally) necessarily involves value judgments as well as judgments about matters of fact (specifically, the "facts" of traditional descriptive psychopathology); and more specifically, the distinction between pathological and nonpathological phenomena concerns the way in which they are embedded in the structure of the values and beliefs by which the actions of the subjects concerned are defined: "In the case of pathological psychotic phenomena," we argued, "there is a radical failure of action.... In the case of spiritual psychotic phenomena, action is radically enhanced" (Jackson and Fulford 1997, 55).We then proposed a cognitive problem-solving model of psychotic experiences. This model suggests that such experiences can be a normal and adaptive psychological response to existential crises, such as loss of meaning or purpose in life, coming to terms with death or bereavement, and so on (Batson and Ventis 1982; Jackson, 1991, 1997, 2001). The model is consistent with a subsequent position paper published by the British Psychological Society arguing the case for a psychological formulation of psychotic experiences and cognitive-behavioural methods in their management (2000).In the case of nonpathological psychotic experience, the psychotic elements of the experience promote a paradigm shift in the individual's underlying assumptions, which effectively resolves their impasse and allows them to move forward. This is normally a self-limiting process, in that when the individual is able to utilize their insight, it acts to resolve the stress which triggered it. In pathological psychosis, this process fails for various possible reasons, which were not explored in any depth in that paper (but see Jackson 2001 for a more detailed discussion). The Challenge From Marzanski and Bratton Marek Marzanski and Mark Bratton reexamine the questions raised by our cases from a Christian theological perspective (Marzanski and Bratton 2002). They suggest a theologically based definition of spiritual experience according to which the criteria for "genuine" experience concerns its context within the development of the individual's religious faith. In Bratton and Marzanski's account, these criteria are based on a Christian value system.They present three cases of their own, which, in contrast to the three cases in our 1997 paper, vividly illustrate how phenomena that may be valued negatively from a medical perspective (i.e., as defined by us in terms of their consequences for action), may, at one and the same time, be valued positively from a religious perspective (i.e., in terms of their consequences for the... (shrink)

Sentiment analysis is the field of natural language processing to analyze opinionated data, for the purpose of decision making. An opinion is a statement about a subject which expresses the sentiments as well as the emotions of the opinion makers on the topic. In this paper, we develop a sentiment analysis tool namely SENTI-METER. This tool estimates the success rate of social campaigns based on the algorithms we developed that analyze the sentiment of word as well as blog. Social (...) campaigns have a huge impact on the mindset of people. One such campaign was launched in India on October 2, 2014, named Swachh Bharat Abhiyan. Our tool computes an elaborated analysis of Swachh Bharat Abhiyan, which examines the success rate of this social campaign. Here, we performed the location-wise analysis of the campaign and predict the degree of polarity of tweets along with the monthly and weekly analysis of the tweets. The experiments were conducted in five phases namely extraction and preprocessing of tweets, tokenization, sentiment evaluation of a line, sentiment evaluation of a blog and analysis. Our tool is also capable of handling transliterated words. Unbiased tweets were extracted from Twitter related to this specific campaign, and on comparing with manual tagging we were able to achieve 84.47 % accuracy using unigram machine learning approach. This approach helps the government to implement the social campaigns effectively for the betterment of the society. (shrink)

Much of our thinking focuses on deciding what to do in situations where the space of possible options is too large to evaluate exhaustively. Previous work has found that people do this by learning the general value of different behaviors, and prioritizing thinking about high-value options in new situations. Is this good-action bias always the best strategy, or can thinking about low-value options sometimes become more beneficial? Can people adapt their thinking accordingly based on the situation? And how do we (...) know what to think about in novel events? Here, we developed a block-puzzle paradigm that enabled us to measure people's thinking plans and compare them to a computational model of rational thought. We used two distinct response methods to explore what people think about—a self-report method, in which we asked people explicitly to report what they thought about, and an implicit response time method, in which we used people's decision-making times to reveal what they thought about. Our results suggest that people can quickly estimate the apparent value of different options and use this to decide what to think about. Critically, we find that people can flexibly prioritize whether to think about high-value options (Experiments 1 and 2) or low-value options (Experiments 3, 4, and 5), depending on the problem. Through computational modeling, we show that these thinking strategies are broadly rational, enabling people to maximize the value of long-term decisions. Our results suggest that thinking plans are flexible: What we think about depends on the structure of the problems we are trying to solve. (shrink)

Implicit bias is one of the most successful cases in recent memory of an academic concept being translated into practice. Its use in the National Science Foundation ADVANCE program—which seeks to promote gender equality in STEM careers through institutional transformation—has raised fundamental questions about organizational change. How do advocates translate theories into practice? What makes some concepts more tractable than others? What happens to theories through this translation process? We explore these questions using the ADVANCE program as a case study. (...) Using an inductive, theory-building approach and combination of computational and qualitative methods, we investigate how the concept of implicit bias was translated into practice through the ADVANCE program and identify five key features that made implicit bias useful as a change framework in the academic STEM setting. We find that the concept of implicit bias works programmatically because it is demonstrable, relatable, versatile, actionable, and impartial. While enabling the concept’s diffusion, these characteristics also limit its scope. We reflect on implications for gender theories of organizational change and for practitioners. (shrink)

Context: Radical constructivism (RC) is seen as a fruitful way to teach innovation, as Ernst von Glasersfeld’s concepts of knowing, learning, and teaching provide an epistemological framework fostering processes of generating an autonomous conceptual understanding. Problem: Classical educational approaches do not meet the requirements for teaching and learning innovation because they mostly aim at students’ competent performance, not at students’ understanding and developing their creative capabilities. Method: Analysis of theoretical principles from the constructivist framework and how they can be used (...) as a foundation for designing a course in the field of innovation. The empirical results are based on qualitative journal entries that were coded and categorized according to Charmaz’s grounded theory approach. Results: It is shown that there is a close relationship between learning and innovation processes. The proposed investigated course design based on RC incorporates the following concepts: the course setting is understood as a framework to guide understanding; students work in teams and are subjective constructors of their own knowledge; instructors take on the role of coaches, guiding students through an innovation process as co-creators. Such a framework facilitates dynamic processes of assimilation and accommodation, as well as perturbation through the “other,” which potentially lead to novel, and viable, conceptual structures crucial for sustainable innovation. Constructivist Content: The paper argues in favor of RC principles in the context of teaching and learning. The proposed course setting is oriented at von Glasersfeld’s understanding of knowing, learning, and teaching (vs. training. It outlines theoretical and practical aspects of these principles in the context of a course design for innovation. Furthermore, it shows the importance of von Glasersfeld’s concept of intersubjectivity for processes of accommodation and the generation of (novel) autonomous conceptual structures. The interplay between creating coherence, perturbation, and irritation through interacting with the “other” (in the form of co-students and instructors) is assumed to be vital for such processes, as it leads to the creation of not only novel but also viable conceptual structures, therefore re-establishing a relative equilibrium critical for sustainable innovation. (shrink)

This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. Each chapter contains a (...) number of detailed examples explaining both the theory and its applications for first-year master's and graduate students. 'Cookbook' procedures are accompanied by a discussion of when such methods are guaranteed to be successful, and, equally importantly, when they could fail. Each result in the main body of the text is also accompanied by a complete proof. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained. (shrink)

The fundamental relations that underlie cognitive comparisons—“same” and “different”—can be defined at multiple levels of abstraction, which vary in relational complexity. We compared response times to decide whether or not two sequentially‐presented patterns, each composed of two pairs of colored squares, were the same at three levels of abstraction: perceptual, relational, and system (higher order relations). For both 150 ms and 5 s inter‐stimulus intervals (ISIs), both with and without a masking stimulus, decision time increased with level of abstraction. (...) Sameness at lower complexity levels contributed to decisions based on the higher levels. The pattern of comparison times across levelswas not predictable solely from encoding times. The results indicated that relations at multiple levels of complexity can be abstracted and compared in working memory, with higher complexity levels requiring more processing time. We simulated the impact of relational complexity on response time using Learning and Inference with Schemas and Analogies (LISA), a computational model of relational comparisons based on dynamic binding of elements into roles in a relational working memory. (shrink)

Although various studies have shown thatfarmers believe there is the need for a producer-ledinitiative to address the environmental problems fromagriculture, farmers in several Canadian provinceshave been reluctant to widely participate inEnvironmental Farm Plan (EFP) programs. Few studieshave examined the key issues associated with adoptingEFP programs based on farmers', as opposed to policymakers', perspectives on why producers are reluctantto participate in the program. A study adapting VanRaaij's (1981) conceptual model of the decision-makingenvironment of the firm, and prospect theory on valuefunctions (...) associated with the gains and losses fromrisky choices can be used to characterize how farmersperceive potential risks in environmental farmplanning. This framework can be used to assert thatfarmers are concerned about risks of public disclosureof potentially incriminating environmental informationfrom farms because the EFP program requirements foridentification and extensive documentation of farminformation is perceived by farmers as facilitatingthe accessibility of environmental information to thepublic, and public investigative efforts. Although theEFP program does not explicitly generate informationabout the environmental conditions of a farm nor thedisclosure of such information to the public, itcreates the possibility of generating and divulgingpotentially incriminating information that the farmermay want to treat as confidential. Yet, alone, theserisks of public disclosure concerns should not preventfarmers from participating in the EFP. Awareness ofand participation in environmental farm planning canbe increased if farmers and policy makers understandwhat the risks are, and how they arise. Aspects of theEFP process that have the potential to generate riskof public disclosure concerns relate to farm reviews,documentation and record keeping, and correctiveaction plans. There are legal and policy instrumentsthat can offer various forms of protection and helpminimize such risks, and these need to be assessed. (shrink)

Context: Sustainability is among major societal goals in our days. Education is acknowledged as an essential strategy for attaining sustainability by activating the creative potential within young people to understand sustainability, bring forth changes in their everyday life, and collectively envision a more sustainable future. Problem: However, teaching and learning about sustainability and sustainability-related issues is not an easy task due to the inherent complexity, ambiguity, and context-specificity of the concept. We are in need of innovative pedagogical approaches and tools (...) that will allow us to design learning activities in which learners will be empowered to develop new, alternative interpretations of sustainability in personally and collectively meaningful ways. Method: We argue that a constructionist perspective involving the use of expressive media for digital storytelling offers an appropriate frame for designing learning activities fostering collaborative creativity in thinking and learning about urban sustainability. Our study is based on the design of a learning activity following this rationale. We adopted a qualitative approach in the collection and analysis of different sources of data with the aim to explore collaborative creativity as a learning process based on the students’ collective processes and resulting in the co-construction of new ideas and insights about sustainability, and new tangible artefacts encompassing them. Results: Our analysis of the collaborative creativity exemplified in the three digital stories produced identified important creative elements with regards to the three components of a digital story and how they were embodied in each digital story produced as a result of the students’ joint constructionist activity. Implications: Our study provides some preliminary evidence that collaborative creativity from a constructionist perspective can stand as an appropriate framework for designing learning activities addressing the difficult concept of sustainability. There are several implications for both theory and educational practice in environmental education and education for sustainable development, constructionism, and digital storytelling in education. Moreover, our study opens up new fields for research and theory in creativity. (shrink)

Given that social studies pedagogy often runs in direct opposition to how students best learn, social studies teacher preparation must intervene by providing teachers robust experiences for inquiry, interpretation, creation, and personal meaning making. Digital history represents an area of innovation in social studies that can be a useful context for providing such interventions. This research applies a design-based methodology to develop a teacher education activity that reflects research on digital history and how students learn best by constructing and extending (...) prior knowledge, processing information into knowledge, and scaffolding. Design-based research has proven to be suitable as an intervention for classroom settings in that it can be rapidly refined in response to ongoing research on an intervention. The research asked what methods and tools can teacher educators use to promote digital history in their classrooms. Through the project, 200 teacher education students, over four iterative design phases, learned to process historical information into knowledge using technology to communicate refined versions of their knowledge to outside audiences. Seven design factors and six commonalities and differences were identified as influencing the design process. The results of this design-based research informed the development of generalizations and guidelines for designing similar digital history projects. (shrink)

The challenges public comprehensive universities face today are expanding—they have been challenged to enroll and graduate more students, adopt new technologies that lower cost without sacrificing quality, and align program and curricular offerings with the skills that employers require. While these universities have a long history of adapting to change, today’s environment will likely test the capabilities of even the most adaptive institutions. This volume assembles a team of experts from a variety of disciplines to examine both the history of (...) the comprehensive university and what lies ahead. Overall, the book grapples with such questions as: How do these institutions adapt to serve the growing population of non-traditional students? How well do they prepare graduates for the labor market? Can partnerships between community colleges and comprehensive universities bolster student success? The University Next Door draws much-needed attention to a set of institutions that has historically received little notice, yet play an important role in meeting our new attainment goals and helping the American economy grow. Book Features: Examines the role of comprehensive universities from start to finish—their history and future. Uses empirical analysis to explore complex questions about which students choose these universities and why. Explores how these institutions might struggle under a federal ratings system such as the one proposed by President Obama. Discusses how these institutions can better monitor the needs of the economy and better educate students to fill those needs. Provides recommendations to inform future decisions about higher education policy. (shrink)

This essay exposes how recent attempts at lethal injection reform have involved unethical and illegal research on prisoners. States are varying the doses and types of drugs used, developing methods designed for non-medical professionals to administer medical procedures, and gathering data or making provisions for the gathering of data to learn from executions gone wrong. When individual prisoners are executed under these conditions, states are conducting research on them. Conducting research or experimentation on prisoners in the process of reform is (...) problematic because it violates ethical frameworks and state laws. The Supreme Court has recently taken up the challenge of elucidating the standard for determining the constitutionality of lethal injection. If the Court suggests an approach to lethal injection reform that is akin to some of the more thoughtful and cautious approaches other courts have proposed, the Court's decision may also contravene state laws or ethical precepts regarding research with prisoners. Thus, this paper provides important limitations on the kinds of reform that may be permissible and outlines the open questions that must be addressed before it can be determined whether the risks and uncertainties involved in lethal injection can be remedied. (shrink)

Corruption involves greed, money, and risky decision-making. We explore the love of money, pay satisfaction, probability of risk, and dishonesty across cultures. Avaricious monetary aspiration breeds unethicality. Prospect theory frames decisions in the gains-losses domain and high-low probability. Pay dissatisfaction (in the losses domain) incites dishonesty in the name of justice at the individual level. The Corruption Perceptions Index, CPI, signals a high-low probability of getting caught for dishonesty at the country level. We theorize that decision-makers adopt avaricious (...) love-of-money aspiration as a lens and frame dishonesty in the gains-losses domain (pay satisfaction-dissatisfaction, Level 1) and high-low probability (CPI, Level 2) to maximize expected utility and ultimate serenity. We challenge the myth: Pay satisfaction mitigates dishonesty across nations consistently. Based on 6500 managers in 32 countries, our cross-level three-dimensional visualization offers the following discoveries. Under high aspiration conditions, pay dissatisfaction excites the highest- (third-highest) avaricious justice-seeking dishonesty in high (medium) CPI nations, supporting the certainty effect. However, pay satisfaction provokes the second-highest avaricious opportunity-seizing dishonesty in low CPI entities, sustaining the possibility effect—maximizing expected utility. Under low aspiration conditions, high pay satisfaction consistently leads to low dishonesty, demonstrating risk aversion—achieving ultimate serenity. We expand prospect theory from a micro and individual-level theory to a cross-level theory of monetary wisdom across 32 nations. We enhance the S-shaped Curve to three 3-D corruption surfaces across three levels of the global economic pyramid, providing novel insights into behavioral economics, business ethics, the environment, and responsibility. (shrink)

Ethical decision-making frameworks assist in identifying the issues at stake in a particular setting and thinking through, in a methodical manner, the ethical issues that require consideration as well as the values that need to be considered and promoted. Decisions made about the use, sharing, and re-use of big data are complex and laden with values. This paper sets out an Ethics Framework for Big Data in Health and Research developed by a working group convened by the Science, Health (...) and Policy-relevant Ethics in Singapore Initiative. It presents the aim and rationale for this framework supported by the underlying ethical concerns that relate to all health and research contexts. It also describes a set of substantive and procedural values that can be weighed up in addressing these concerns, and a step-by-step process for identifying, considering, and resolving the ethical issues arising from big data uses in health and research. This Framework is subsequently applied in the papers published in this Special Issue. These papers each address one of six domains where big data is currently employed: openness in big data and data repositories, precision medicine and big data, real-world data to generate evidence about healthcare interventions, AI-assisted decision-making in healthcare, public-private partnerships in healthcare and research, and cross-sectoral big data. (shrink)

Can we make wise policy decisions about still‐emerging technologies—decisions that are grounded in facts yet anticipate unknowns and promote the public's preferences and values? There is a widespread feeling that we should try. There also seems to be widespread agreement that the central element in wise decisions is the assessment of benefits and costs, understood as a process that consists, at least in part, in measuring, tallying, and comparing how different outcomes would affect the public interest. But how benefits (...) and costs are best weighed when making decisions about whether to move forward with an emerging technology is not clear. Many commentators feel that the weighing is often inadequate or inappropriate. Those who argue for a “precautionary” approach to the weighing do so precisely because they feel the need for a restraint on the dominant decision‐making tools and processes for assessing outcomes.This Hastings Center special report examines those tools and processes, taking the method known as cost‐benefit analysis as a starting point. In U.S. governance, CBA, sometimes informed by risk assessment, is the most widely used and extensively studied method, and authoritative reports on genetic and reproductive technologies often use language suggestive of cost‐benefit analysis. There is also a long‐running debate about the role of values in CBA and other formal impact assessment mechanisms—and about how those mechanisms compare to the precautionary principle. The guiding idea in the report is to engage in a close examination of the strengths and limits of CBA for ensuring that emerging technologies are used in ways that square with the public's values, drawing on applications of synthetic biology to illustrate and sharpen the analysis and then considering corrections to CBA and some alternative methodologies that handle values differently. (shrink)

Reinforcement Learning is a kind of machine learning. We know Profit Sharing, the Rational Policy Making algorithm, the Penalty Avoiding Rational Policy Making algorithm and PS-r* to guarantee the rationality in a typical class of the Partially Observable Markov Decision Processes. However they cannot treat continuous state spaces. In this paper, we present a solution to adapt them in continuous state spaces. We give RPM a mechanism to treat continuous state spaces in the environment that (...) has the same type of a reward. We show the effectiveness of the proposed method in numerical examples. (shrink)

We apply an online optimization process based on machine learning to the production of Bose-Einstein condensates. BEC is typically created with an exponential evaporation ramp that is optimal for ergodic dynamics with two-body s-wave interactions and no other loss rates, but likely sub-optimal for real experiments. Through repeated machine-controlled scientific experimentation and observations our ’learner’ discovers an optimal evaporation ramp for BEC production. In contrast to previous work, our learner uses a Gaussian process to develop a statistical model of the (...) relationship between the parameters it controls and the quality of the BEC produced. We demonstrate that the Gaussian process machine learner is able to discover a ramp that produces high quality BECs in 10 times fewer iterations than a previously used online optimization technique. Furthermore, we show the internal model developed can be used to determine which parameters are essential in BEC creation and which are unimportant, providing insight into the optimization process of the system. (shrink)