Open peer commentary on the article “Design Research as a Variety of Second-Order Cybernetic Practice” by Ben Sweeting. Upshot: I claim that the parallels between design research, second-order cybernetics and second-order science, as discussed by Sweeting in the target article, are more explicit in digital design. The discussion of SOC and SOS can point towards the creation of an epistemological foundation to digital design, where self-reflexivity and the inclusion of the observer are central (...) questions. (shrink)

Context: The relationship between design and science has shifted over recent decades. One bridge between the two is cybernetics, which offers perspectives on both in terms of their practice. From around 1980 onwards, drawing on ideas from cybernetics, Glanville has suggested that rather than apply science to design, it makes more sense to understand science as a form of design activity, reversing the more usual hierarchy between the two. I return to review this argument (...) here, in the context of recent discussions in this journal regarding second-order science has tended to be associated with theory. As a result, SOC is perceived as separate to the more tangible aspects of earlier cybernetics in a way that obscures both the continuity between the two and also current opportunities for developing the field. Method: I review Glanville’s understanding of design, and particularly his account of scientific research as a design-like activity, placing this within the context of the shifting relation between science and design during the development of SOC, with reference to the work of Rittel and Feyerabend. Through this, I summarise significant parallels and overlaps between SOC and the contemporary concerns of design research. Results: I suggest that we can see design research not just as a field influenced by cybernetics but as a form of SOC practice even where cybernetics is not explicitly referenced. Implications: Given this, design research offers much to cybernetics as an important example of SOC that is both outward looking and practice based. As such, it bridges the gap between SOC and the more tangible legacy of earlier cybernetics, while also suggesting connections to contemporary concerns in this journal with SOS in terms of researching research. Constructivist content: By suggesting that we see design research as an example of SOC, I develop connections between constructivism and practice. (shrink)

In this paper Kuipers' set-theoretic approach to scientific research programs as applied to design research programs is reviewed. The main criticism is that this approach, through its conception of properties as "atomic," cannot do justice to the fact that most properties that matter in design problems come in degrees. Thus the approach offers no help with a main difficulty in design problems: that of evaluating different design concepts or prototypes when multiple features or properties, (...) each of which giving rise to a comparative ordering of the concepts or prototypes, have to be taken into account. This problem is argued to be isomorphic to the well-known problem of social choice and therefore, in view of Arrow's theorem, a "deep" problem. (shrink)

Open peer commentary on the article “Design Research as a Variety of Second-Order Cybernetic Practice” by Ben Sweeting. Upshot: This commentary highlights the relevance of understanding design research as a variety of second-order cybernetic practice. It does so by illustrating possible contributions of this view to several concrete issues surrounding the introduction of neuroscientific framework to architectural design. Based on the implications of Sweeting’s article, I suggest that the specific case of an interdisciplinary dialogue between (...) architecture and cognitive science can provide a plausible testing ground as a new research field for second-order cybernetic practice and second-order science. (shrink)

Can new technology enhance purpose-driven, democratic dialogue in groups, governments, and societies? Online Deliberation: Design, Research, and Practice is the first book that attempts to sample the full range of work on online deliberation, forging new connections between academic research, technology designers, and practitioners. Since some of the most exciting innovations have occurred outside of traditional institutions, and those involved have often worked in relative isolation from each other, work in this growing field has often failed to (...) reflect the full set of perspectives on online deliberation. This volume is aimed at those working at the crossroads of information/communication technology and social science, and documents early findings in, and perspectives on, this new field by many of its pioneers. -/- CONTENTS: -/- Introduction: The Blossoming Field of Online Deliberation (Todd Davies, pp. 1-19) -/- Part I - Prospects for Online Civic Engagement -/- Chapter 1: Virtual Public Consultation: Prospects for Internet Deliberative Democracy (James S. Fishkin, pp. 23-35) -/- Chapter 2: Citizens Deliberating Online: Theory and Some Evidence (Vincent Price, pp. 37-58) -/- Chapter 3: Can Online Deliberation Improve Politics? Scientific Foundations for Success (Arthur Lupia, pp. 59-69) -/- Chapter 4: Deliberative Democracy, Online Discussion, and Project PICOLA (Public Informed Citizen Online Assembly) (Robert Cavalier with Miso Kim and Zachary Sam Zaiss, pp. 71-79) -/- Part II - Online Dialogue in the Wild -/- Chapter 5: Friends, Foes, and Fringe: Norms and Structure in Political Discussion Networks (John Kelly, Danyel Fisher, and Marc Smith, pp. 83-93) -/- Chapter 6: Searching the Net for Differences of Opinion (Warren Sack, John Kelly, and Michael Dale, pp. 95-104) -/- Chapter 7: Happy Accidents: Deliberation and Online Exposure to Opposing Views (Azi Lev-On and Bernard Manin, pp. 105-122) -/- Chapter 8: Rethinking Local Conversations on the Web (Sameer Ahuja, Manuel Pérez-Quiñones, and Andrea Kavanaugh, pp. 123-129) -/- Part III - Online Public Consultation -/- Chapter 9: Deliberation in E-Rulemaking? The Problem of Mass Participation (David Schlosberg, Steve Zavestoski, and Stuart Shulman, pp. 133-148) -/- Chapter 10: Turning GOLD into EPG: Lessons from Low-Tech Democratic Experimentalism for Electronic Rulemaking and Other Ventures in Cyberdemocracy (Peter M. Shane, pp. 149-162) -/- Chapter 11: Baudrillard and the Virtual Cow: Simulation Games and Citizen Participation (Hélène Michel and Dominique Kreziak, pp. 163-166) -/- Chapter 12: Using Web-Based Group Support Systems to Enhance Procedural Fairness in Administrative Decision Making in South Africa (Hossana Twinomurinzi and Jackie Phahlamohlaka, pp. 167-169) -/- Chapter 13: Citizen Participation Is Critical: An Example from Sweden (Tomas Ohlin, pp. 171-173) -/- Part IV - Online Deliberation in Organizations -/- Chapter 14: Online Deliberation in the Government of Canada: Organizing the Back Office (Elisabeth Richard, pp. 177-191) -/- Chapter 15: Political Action and Organization Building: An Internet-Based Engagement Model (Mark Cooper, pp. 193-202) -/- Chapter 16: Wiki Collaboration Within Political Parties: Benefits and Challenges (Kate Raynes-Goldie and David Fono, pp. 203-205) -/- Chapter 17: Debian’s Democracy (Gunnar Ristroph, pp. 207-211) -/- Chapter 18: Software Support for Face-to-Face Parliamentary Procedure (Dana Dahlstrom and Bayle Shanks, pp. 213-220) -/- Part V - Online Facilitation -/- Chapter 19: Deliberation on the Net: Lessons from a Field Experiment (June Woong Rhee and Eun-mee Kim, pp. 223-232) -/- Chapter 20: The Role of the Moderator: Problems and Possibilities for Government-Run Online Discussion Forums (Scott Wright, pp. 233-242) -/- Chapter 21: Silencing the Clatter: Removing Anonymity from a Corporate Online Community (Gilly Leshed, pp. 243-251) -/- Chapter 22: Facilitation and Inclusive Deliberation (Matthias Trénel, pp. 253-257) -/- Chapter 23: Rethinking the ‘Informed’ Participant: Precautions and Recommendations for the Design of Online Deliberation (Kevin S. Ramsey and Matthew W. Wilson, pp. 259-267) -/- Chapter 24: PerlNomic: Rule Making and Enforcement in Digital Shared Spaces (Mark E. Phair and Adam Bliss, pp. 269-271) -/- Part VI - Design of Deliberation Tools -/- Chapter 25: An Online Environment for Democratic Deliberation: Motivations, Principles, and Design (Todd Davies, Brendan O’Connor, Alex Cochran, Jonathan J. Effrat, Andrew Parker, Benjamin Newman, and Aaron Tam, pp. 275-292) -/- Chapter 26: Online Civic Deliberation with E-Liberate (Douglas Schuler, pp. 293-302) -/- Chapter 27: Parliament: A Module for Parliamentary Procedure Software (Bayle Shanks and Dana Dahlstrom, pp. 303-307) -/- Chapter 28: Decision Structure: A New Approach to Three Problems in Deliberation (Raymond J. Pingree, pp. 309-316) -/- Chapter 29: Design Requirements of Argument Mapping Software for Teaching Deliberation (Matthew W. Easterday, Jordan S. Kanarek, and Maralee Harrell, pp. 317-323) -/- Chapter 30: Email-Embedded Voting with eVote/Clerk (Marilyn Davis, pp. 325-327) -/- Epilogue: Understanding Diversity in the Field of Online Deliberation (Seeta Peña Gangadharan, pp. 329-358). -/- For individual chapter downloads, go to odbook.stanford.edu. (shrink)

How does aspirin reduce pain and inflammation? How does it prevent heart attacks? Why does it upset the stomach? How do scientists discover the answers? This article examines research and development in the history from willow bark to aspirin to “super aspirins” Celebrex and Vioxx. Scientists adopt various approaches: trial and error, laboratory experiment, clinical test, elucidation of underlying mechanisms, concept-directed research, and rational drug design. Each approach is limited, but they complement each other in unraveling the (...) mystery of a wonder drug. (shrink)

This book distinguishes itself in its integrated approach towards scientific research, and studies the basics of the methodology of scientific research and the organization of scientific activity from the viewpoint of systems science and system analysis. The book discusses the basics of the methodology including philosophical, psychological, epistemological and ethical/aesthetical foundations, the characteristics of scientific activity, including principles of scientific cognition, the means and methods of scientific research, the organization of a research implementation process and (...) its chronological structure and finally, the organization of a collective scientific research design. (shrink)

The discussion about relations between research and design has a number of strands, and presumably motivations. Putting aside the question whether or not design or “creative endeavour” should be counted as research, for reasons to do with institutional recognition or reward, the question remains how, if at all, is design research? This question is unlikely to have attracted much interest but for matters external to Architecture within the modern university. But Architecture as a discipline (...) now needs to understand research much better than in the past when ‘research’ was whatever went on in building science, history or people/environment studies. In this paper, I begin with some common assumptions about design, considered in relation to research, and suggest how the former can constitute or be a mode of the latter. Central to this consideration is an understanding of research as the production of publicly available knowledge. (shrink)

BackgroundImplementation science research, especially when using participatory and co-design approaches, raises unique challenges for research ethics committees. Such challenges may be poorly addressed by approval and governance mechanisms that were developed for more traditional research approaches such as randomised controlled trials.DiscussionImplementation science commonly involves the partnership of researchers and stakeholders, attempting to understand and encourage uptake of completed or piloted research. A co-creation approach involves collaboration between researchers and end users from the onset, (...) in question framing, research design and delivery, and influencing strategy, with implementation and broader dissemination strategies part of its design from gestation. A defining feature of co-creation is its emergent and adaptive nature, making detailed pre-specification of interventions and outcome measures impossible. This methodology sits oddly with ethics committee protocols that require precise pre-definition of interventions, mode of delivery, outcome measurements, and the role of study participants. But the strict requirements of ethics committees were developed for a purpose – to protect participants from harm and help ensure the rigour and transparency of studies. We propose some guiding principles to help square this circle. First, ethics committees should acknowledge and celebrate the diversity of research approaches, both formally and informally ; without active support, their members may not understand or value participatory designs. Second, ground rules should be established for co-design applications and communicated to committee members and stakeholders. Third, the benefits of power-sharing should be recognised and credit given to measures likely to support this important goal, especially in research with vulnerable communities. Co-design is considered best practice, for example, in research involving indigenous peoples in New Zealand, Australia and Canada. (shrink)

Research design is fundamentally central to all scientific endeavors, at all levels and in all institutional settings. This book is a practical, short, simple, and authoritative examination of the concepts and issues in interpretive research design, looking across this approach's methods of generating and analyzing data. It is meant to set the stage for the more "how-to" volumes that will come later in the Routledge Series on Interpretive Methods, which will look at specific methods and the (...) designs that they require. It will, however, engage some very practical issues, such as ethical considerations and the structure of research proposals. Interpretive research design requires a high degree of flexibility, where the researcher is more likely to think of "hunches" to follow than formal hypotheses to test. Yanow and Schwartz-Shea address what research design is and why it is important, what interpretive research is and how it differs from quantitative and qualitative research in the positivist traditions, how to design interpretive research, and the sections of a research proposal and report. (shrink)

How might a design approach be applied to Research? Following Glanville’sGlanville, Ranulph observation that design and researchResearch are fundamentally related and that design methodsDesignmethods may be applied across domains, we framed a case study of the perceptual effects of alternate contemporary lighting technologies at an architectural scale to show how a designer/researcher could approach this kind of investigation. Design proceeds in complex domains with incomplete data and open questions. It is often concerned with the singular (...) or unique solution rather than with generalizability. Its products are applied under hybrid and dynamic, rather than controlled, conditions. Rather than work with subjects approximating a general population, informants were recruited with more extensive or diverse experiences than our own. Color perception was investigated in large-scaled installations allowing for locomotion and full visual immersion in a color-field. The effort was not to frame hypotheses for confirmation or refutation but probe the phenomena for insights. Design researchDesignresearch methods might be preferred when the nature of the investigation is exploratory or when ecological validity dominates reliability. They might also be useful in situations where significant progress is no longer being made within a particular paradigm by recasting the nature of the inquiryEnquiry outside the frameworks that presently dominate. (shrink)

Given the recent call to strengthen collaboration between researchers and relevant practitioners, we consider participatory design as a way to advance Cognitive Science. Building on examples from the Learning Sciences and Human−Computer Interaction, we (a) explore what, why, who, when, and where researchers can collaborate with community members in Cognitive Science research; (b) examine the ways in which participatory‐design research can benefit the field; and (c) share ideas to incorporate participatory design into existing (...) basic and applied research programs. Through this article, we hope to spark deeper discussions on how cognitive scientists can collaborate with community members to benefit both research and practice. (shrink)

Research on behavioral ethics is thriving and intends to offer advice that can be used by practitioners to improve the practice of ethics management. However, three barriers prevent this research from generating genuinely useful advice. It does not sufficiently focus on interventions that can be directly designed by management. The typical research designs used in behavioral ethics research require such a reduction of complexity that the resulting findings are not very useful for practitioners. Worse still, attempts (...) to make behavioral ethics research more useful by formulating simple recommendations are potentially very damaging. In response to these limitations, this article proposes to complement the current behavioral ethics research agenda that takes an ‘explanatory science’ approach with a research agenda that uses a ‘design science’ approach. Proposed by Joan van Aken and building on earlier work by Herbert Simon, this approach aims to develop field-tested ‘design propositions’ that present often complex but useful recommendations for practitioners. Using a ‘CIMO-logic’, these propositions specify how an ‘intervention’ can generate very different ‘outcomes’ through various ‘mechanisms’, depending on the ‘context’. An illustration and a discussion of the contours of this new research agenda for ethics management demonstrate its advantages as well as its feasibility. The article concludes with a reflection on the feasibility of embracing complexity without drowning in a sea of complicated contingencies and without being paralyzed by the awareness that all interventions can have both desirable and undesirable effects. (shrink)

We examine the claim that design is demarcated from science by having wicked problems while science does not and argue that it is wrong. We examine each of the ten features Rittel and Weber hold to be characteristic of wicked problems and show that they derive from three general sources common to science and design: agent finitude, system complexity and problem normativity, and play analogous roles in each. This provides the basis for a common core (...) cognitive process to design and science. Underlying our arguments is a shift to a strategic problem-solving conception of method in both disciplines that opens up new opportunities for synergetic cross-disciplinary research and practice. (shrink)

Research Methodology for Social Sciences provides guidelines for designing and conducting evidence-based research in social sciences and interdisciplinary studies using both qualitative and quantitative data. Blending the particularity of different sub-disciplines and interdisciplinary nature of social sciences, this volume: Provides insights on epistemological issues and deliberates on debates over qualitative research methods; Covers different aspects of qualitative research techniques and evidence-based research techniques including survey design, choice of sample, construction of indices, statistical inferences, and (...) data analysis; Discusses concepts, techniques, and tools at different stages of research beginning with design of field surveys to collect raw data and then to analyze the data using statistical and econometric methods; With illustrations, examples and a reader friendly approach, this volume will serve as a key reference material for compulsory research methodology courses at Doctoral levels across different disciplines like Economics, Sociology, Women's Studies, Education, Anthropology, Political Science, International Relations, Philosophy, History, Business Management and the like. This volume will also be indispensable for post-graduate courses dealing with quantitative techniques and data analysis. (shrink)

Background Over the last decades, the neurosciences, behavioral sciences, and the social sciences have all seen a rapid development of innovative research methods. The field of bioethics, however, has trailed behind in methodological innovation. Despite the so-called “empirical turn” in bioethics, research methodology for project development, data collection and analysis, and dissemination has remained largely restricted to surveys, interviews, and research papers. We have previously argued for a “Design Bioethics” approach to empirical bioethics methodology, which develops (...) purpose-built methods for investigation of bioethical concerns. In this paper we compare a research tool created using a design bioethics approach to a “methods-as-usual” approach in empirical bioethics. Methods Our study compared dimensions of engagement with a digital game we created, called “Tracing Tomorrow,” to a standard vignette survey. The two tools investigated the same subject matter, digital phenotyping for mental health, in a sample of 301 UK adolescents. Results Participants who played the game reported a greater sense of presence, emotional engagement, cognitive absorption, and mental health ethics insight, compared to participants who completed the vignette survey. Perceived authenticity and curiosity/motivation to learn more was equivalent for both methods. Conclusion The results of this study highlights the importance of purpose-built methodology for empirical bioethics research. (shrink)

Empirical research in bioethics has developed rapidly over the past decade, but has largely eschewed the use of technology-driven methodologies. We propose “design bioethics” as an area of conjoined theoretical and methodological innovation in the field, working across bioethics, health sciences and human-centred technological design. We demonstrate the potential of digital tools, particularly purpose-built digital games, to align with theoretical frameworks in bioethics for empirical research, integrating context, narrative and embodiment in moral decision-making. Purpose-built digital tools (...) can engender situated engagement with bioethical questions; can achieve such engagement at scale; and can access groups traditionally under-represented in bioethics research and theory. If developed and used with appropriate rigor, tools motivated by “design bioethics” could offer unique insights into new and familiar normative and empirical issues in the field. (shrink)

This edited collection opens up new intellectual territories and articulates the ways in which academics are theorising and practicing new forms of research in ‘wild’ contexts. Many researchers are choosing to leave the familiarity of their laboratory-based settings in order to pursue in-situ studies ‘in the wild’ that can help them to better understand the implications of their work in real-world settings. This has naturally led to ethical, philosophical and practical reappraisals with regard to the taken for granted lab-based (...) modus operandi of scientific, cultural and design-based ways of working. This evolving movement has led to a series of critical debates opening up around the nature of research in the wild, but up until now these debates have not been drawn together in a coherent way that could be useful in an academic context. The book brings together applied, methodological and theoretical perspectives relating to this subject area, and provides a platform and a source of reference material for researchers, students and academics to base their work on. Cutting across multiple disciplines relating to philosophy, sociology, ethnography, design, human–computer interaction, science, history and critical theory, this timely collection appeals to a broad range of academics in varying fields of research. (shrink)

Rational drug design is a method for developing new pharmaceuticals that typically involves the elucidation of fundamental physiological mechanisms. It thus combines the quest for a scientific understanding of natural phenomena with the design of useful technology and hence integrates epistemic and practical aims of research and development. Case studies of the rational design of the cardiovascular drugs propranolol, captopril and losartan provide insights into characteristics and conditions of this integration. Rational drug design became possible (...) in the 1950s when theoretical knowledge of drug-target interaction and experimental drug testing could interlock in cycles of mutual advancement. The integration does not, however, diminish the importance of basic research for pharmaceutical development. Rather, it can be shown that still in the 1990s, linear processes of innovation and the close combination of practical and epistemic work were interdependent. (shrink)

Design research has been positioned as an important methodological contribution of the learning sciences. Despite the publication of a handbook on the subject, the practice of design research in education remains an eclectic collection of specific approaches implemented by different researchers and research groups. In this paper, I examine the learning sciences as a design science to identify its fundamental goals, methods, affiliations, and assumptions. I argue that inherent tensions arise when attempting to (...) practice design research as an analytic science. Drawing inspiration and insight from Chinese philosophy and the practice of Chinese medicine, I propose that the learning sciences may better attain its claims to science through greater reliance on inductive synthesis rather than linear causal analysis. In so doing, I reposition the endeavor of science making within the metaphysics of process philosophy instead of classical Western philosophy. I suggest that theory building will be strengthened empirically and pragmatically by more careful observation and systematic generalization of the stability patterns of design related phenomena. It also needs to be more situated in its orientation. (shrink)

This book provides a framework for approaching ethical and policy dilemmas in research with human subjects from the perspective of trust. It explains how trust is important not only between investigators and subjects but also between and among other stakeholders involved in the research enterprise, including research staff, sponsors, institutions, communities, oversight committees, government agencies, and the general public. The book argues that trust should be viewed as a distinct ethical principle for research with human subjects (...) that complements other principles, such as autonomy, beneficence, non-maleficence, and justice. The book applies the principle of trust to numerous issues, including informed consent, confidentiality, risk minimization, risks and benefits, protection of vulnerable subjects, experimental design, research integrity, and research oversight.This work also includes discussions of the history of research involving human subjects, moral theories and principles, contemporary cases, and proposed regulatory reforms. The book is useful for undergraduate and graduate students studying ethical policy issues related to research with human subjects, as well as for scientists and scholars who are interested in thinking about this topic from the perspective of trust. (shrink)

Rational drug design is a method for developing new pharmaceuticals that typically involves the elucidation of fundamental physiological mechanisms. It thus combines the quest for a scientific understanding of natural phenomena with the design of useful technology and hence integrates epistemic and practical aims of research and development. Case studies of the rational design of the cardiovascular drugs propranolol, captopril and losartan provide insights into characteristics and conditions of this integration. Rational drug design became possible (...) in the 1950s when theoretical knowledge of drug-target interaction and experimental drug testing could interlock in cycles of mutual advancement. The integration does not, however, diminish the importance of basic research for pharmaceutical development. Rather, it can be shown that still in the 1990s, linear processes of innovation and the close combination of practical and epistemic work were interdependent. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Commentary on “Towards a Design-Based Analysis of Emotional Episodes”Cristiano Castelfranchi (bio) and Maria Miceli (bio)Keywordsgrief, suffering, attachment, agent architectureThis paper is significant in many respects: its approach (the design-based analysis); its proposed architecture; its description of grief; and its self-control/perturbance theory. We would offer some remarks on each of these aspects.AI: Back to the FutureAfter some years of crisis, AI seems now to have recovered its original (...) challenging attitude and its identity. In particular all the original ambitions of AI have been renewed under the label of “autonomous agents” (see, for example, Russell and Norvig 1995; Wooldridge and Jennings 1995). This paper and its authors are good representatives of this challenging attitude. Of course, the AI appearing at century’s end is different from, say, the AI of the 1980s. AI systems and models are now conceived for reasoning and acting in open unpredictable worlds, with limited and uncertain knowledge, in real time, with bounded (both cognitive and material) resources, with hybrid architectures, interfering—either co-operatively or competitively—with other systems. The new password for the AI of the 1990s is interaction (Bobrow 1991): interaction with an evolving environment; among several, distributed and heterogeneous artificial systems in a network; with human users; and among humans through computers.This renewed AI, however different though it is in some ways, can be understood as returning to its original aim of modeling “intelligence”: not only static and isolated sub-functions of intelligence but the integrated and pragmatic functioning of autonomous agent architectures as against algorithms. Our renewed AI, based on architectures, can again have important exchanges with other (psychological and social) sciences. This paper is a good example of the fruitful cross-fertilization of ideas which may result from such exchanges. It was indeed just this which originally gave rise to cognitive science.The ArchitectureThe proposed architecture, although quite speculative, and—as the authors themselves emphasize—very much a first sketch, is directly relevant to this new AI. In fact, recent research efforts in the agent-architecture domain are focused exactly on the problem of “goal dynamics” [End Page 129] or “motive processing,” which is the core of this architecture, and on the problem of integrating reactivity and deliberation. Compared with current AI architectures (for example, BDI systems) it is important to note that this “motive-processing” architecture is not yet formalized or implemented to the same extent. On the other hand, it is more interesting from a psychological point of view, and is already able to give us some important insights into human emotions, in particular those emotions (like grief) that involve all or total loss of control of management processes.The Report-Based Analysis of GriefThe report-based description of grief provides a persuasive and rich basis for both modeling and discussing the model. The relevant features of this emotion are well characterized with reference to the self-control problem and motive-processing (though, as we shall see, to use grief as an example of those emotions that involve all or total loss of control of thought processes may provide a partially distorted view of grief itself). In particular, we would stress the relevance of the “intrusive” character of grief-related contents; the rejection of certain beliefs due to the psychic pain they cause; the coping strategies people describe; and the second order motivations related to the control of the emotional state. We believe that psychological models especially of these aspects are usually less specific and explanatory.Let us now try to synthesize some criticisms one could advance of this analysis. We will first address two core notions of the model—perturbance and self-control—and then consider more specifically the treatment of grief.PerturbanceThis notion is potentially very interesting, unless it is reduced to an information processing perspective (e.g., perturbance of attentive processes). An information processing perspective is much more limited than a motive-processing one—at least in the limitative sense of the term, as it is generally used in the psychology of cognitive processes—and is in our view insufficient for understanding human emotions and their role. This limiting interpretation of perturbance fails... (shrink)

This paper concerns design thinking (Lawson, 1980), system thinking (systems theory) (von Bertalanffy, 1968), and system dynamics modeling as methodological platforms for analyzing large amounts of qualitative data and transforming it into quantitative mode. The aims of this article are to present an integral (mixed) research process including the design thinking process—a solution oriented approach applicable in the social sciences and humanities which enables to reveal causality in research on societal and behavioral issues. This integral approach (...) is illustrated by an empirical pilot study from art/design-educational environment. (shrink)

A common complaint against the increasing privatization of research is that research that is conducted with the immediate purpose of producing applicable knowledge will not yield knowledge as valuable as that generated in more curiosity‐driven, academic settings. In this paper, I make this concern precise and reconstruct the rationale behind it. Subsequently, I examine the case of industry research on the giant magnetoresistance effect in the 1990s as a characteristic example of research undertaken under considerable pressure (...) to produce applicable results. The example permits one to arrive at a more optimistic assessment of the epistemic merits of private, application‐driven research. I attempt to specify the conditions that, in this case, advanced the production of interesting and reliable knowledge. (shrink)

This book discusses the relationship between the philosophy of science and philosophy of engineering, and demonstrates how philosophers of engineering design as well as design researchers can benefit from the conceptual toolkit that the philosophy of science has to offer. In this regard, it employs conceptual tools from the philosophical literature on scientific explanation to address key issues in engineering design and philosophy of engineering design. Specifically, the book focuses on assessing the explanatory value (...) of function ascriptions used in engineering design and philosophy of technical functions; on elaborating the structure of explanation in engineering design; on assessing the role and value of design representations in engineering design and philosophy thereof; and on elaborating means for the testing of design methods. Presenting a novel and effective approach to tackling key issues in the field, philosophers of engineering and design alike will greatly benefit from this book. (shrink)

In order for higher education to provide students with up-to-date knowledge and relevant skillsets for their continued learning, it needs to keep pace with innovative pedagogy and cognitive sciences to ensure inclusive and equitable quality education for all. An adequate implementation of flipped learning, which can offer undergraduates education that is appropriate in a knowledge-based society, requires moving from traditional educational models to innovative pedagogy integrated with a playful learning environment (PLE) supported by information and communications technologies (ICTs). In this (...) paper, based on the design-based research, a task-driven instructional approach in the flipped classroom (TDIAFC) was designed and implemented for two groups of participants in an undergraduate hands-on making course in a PLE. One group consisting of 81 students as the experimental group (EG) received flipped learning instruction, and another group of 79 students as the control group (CG) received lecture-centered instruction. The EG students experienced a three-round study, with results from the first round informing the customized design of the second round and the second round informing the third round. The experimental results demonstrated that students in the EG got higher scores of summative tests and final scores than those in the CG. In particular, students’ learning performance in three domains (i.e., cognitive, affective, and psychomotor) differ significantly between the two groups. (shrink)

Science museums aim to provide educational experiences for both children and adults. To achieve this goal, museum displays must convey scientifically-relevant relationships, such as the similarities that unite members of a natural category, and the connections between scientific models and observable objects and events. In this paper, we explore how research on comparison could be leveraged to support learning about such relationships. We describe how museum displays could promote educationally-relevant comparisons involving natural specimens and scientific models. We also (...) discuss how these comparisons could be supported through the design of a display—in particular, by using similarity, space, and language to facilitate relational thinking for children and their adult companions. Such supports may be pivotal given the informal nature of learning in museums. (shrink)

Science and technology are key to economic and social development, yet the capacity for scientific innovation remains globally unequally distributed. Although a priority for development cooperation, building or developing research capacity is often reduced in practice to promoting knowledge transfers, for example through North–South partnerships. Research capacity building/development tends to focus on developing scientists’ technical competencies through training, without parallel investments to develop and sustain the socioeconomic and political structures that facilitate knowledge creation. This, the paper argues, (...) significantly contributes to the scientific divide between developed and developing countries more than any skills shortage. Using Charles Taylor’s concept of irreducibly social goods, the paper extends Sen’s Capabilities Approach beyond its traditional focus on individual entitlements to present a view of scientific knowledge as a social good and the capability to produce it as a social capability. Expanding this capability requires going beyond current fragmented approaches to research capacity building to holistically strengthen the different social, political and economic structures that make up a nation’s innovation system. This has implications for the interpretation of human rights instruments beyond their current focus on access to knowledge and for focusing science policy and global research partnerships to design approaches to capacity building/development beyond individual training/skills building. (shrink)

During the twentieth century statistical methods have transformed research in the experimental and social sciences. Qualitative evidence has largely been replaced by quantitative results and the tools of statistical inference have helped foster a new ideal of objectivity in scientific knowledge. The paper will investigate this transformation by considering the genesis of analysis of variance and experimental design, statistical methods nowadays taught in every elementary course of statistics for the experimental and social sciences. These methods were developed by (...) the mathematician and geneticist R. A. Fisher during the 1920s, while he was working at Rothamsted Experimental Station, where agricultural research was in turn reshaped by Fisher’s methods. Analysis of variance and experimental design required new practices and instruments in field and laboratory research, and imposed a redistribution of expertise among statisticians, experimental scientists and the farm staff. On the other hand the use of statistical methods in agricultural science called for a systematization of information management and made computing an activity integral to the experimental research done at Rothamsted, permanently integrating the statisticians’ tools and expertise into the station research programme. Fisher’s statistical methods did not remain confined within agricultural research and by the end of the 1950s they had come to stay in psychology, sociology, education, chemistry, medicine, engineering, economics, quality control, just to mention a few of the disciplines which adopted them. (shrink)

This book discusses the relationship between the philosophy of science and philosophy of engineering, and demonstrates how philosophers of engineering design as well as design researchers can benefit from the conceptual toolkit that the philosophy of science has to offer. In this regard, it employs conceptual tools from the philosophical literature on scientific explanation to address key issues in engineering design and philosophy of engineering design. Specifically, the book focuses on assessing the explanatory value (...) of function ascriptions used in engineering design and philosophy of technical functions; on elaborating the structure of explanation in engineering design; on assessing the role and value of design representations in engineering design and philosophy thereof; and on elaborating means for the testing of design methods. Presenting a novel and effective approach to tackling key issues in the field, philosophers of engineering and design alike will greatly benefit from this book. (shrink)

The goal of the current study was to examine novice researchers’ views about online ethics education and to identify the instructional design components that may foster ethical practice. Applying the mixed methods approach, data were collected via a survey and semi-structured interviews among M.Sc. and Ph.D. students in science and engineering. The findings point to the need for rethinking the way conventional online ethics courses are developed and delivered; encouraging students to build confidence in learning from distance, engaging (...) them in online active and interactive experiences, and providing them with personalized support and adaptive guidance. The novice researchers identified the synergistic integration of collaborative, case-based, and contextual learning, as the instructional design components that may foster not only ethical knowledge but also ethical practice in a fully online course. (shrink)

Imagine you are the CEO of a hospital [. . .]. Decisions are constantly being made in your organization about how to spend the organization's money. The amount of money available to spend is never adequate to pay for everything you wish you could spend it on, therefore you must set spending priorities. There are two questions you need to be able to answer . . . How should we set priorities in this organization? How do we know when we (...) are doing it well? When people seek to achieve good public policy, the result will tend to be good public policy. In a collective choice process, public‐spirited individual participants produce good public policy by deliberating—talking with each other, listening to each other's arguments, and being willing to learn and change their minds based on such dialogue. –Steven Kelman (1992: 181) Public policy scholars agree that those persons (or agencies) vested with the authority to establish health care priorities should elicit public input before making rationing decisions. The two most common approaches are (i) consultation and (ii) deliberation. Though deliberation has obvious advantages over consultation, it falters in the face of the objection that ordinary citizens lack the cognitive resources for the extended, rigorous inquiry required of them in undertaking the priority‐setting task. To overcome this objection, I propose that deliberative forums for health care rationing should be designed so that they imitate the natural pattern of human experience. The experience of deliberation should encompass both prolonged periods of less‐demanding cognitive activity, in which citizens passively receive information, and briefer periods of more‐demanding cognitive activity, in which they engage in active problem‐solving. In arguing for this thesis, I rely on two theoretical sources and one practical case study, in the following order: (i) John Dewey's metaphysics of experience, (ii) cognitive science research on schemas and frames, and (iii) the Health Care Council in São Paulo, Brazil. (shrink)

Wicked problems’ are tricky to solve because of their many interconnected components and a lack of any single optimal solution. At the science–policy interface, all problems can look wicked: research exposes the complexity that is relevant to designing, executing and implementing policy fit for ambitious human needs. Expertise in philosophical research can help to navigate that complexity.

In his recent anthology, Intelligent Design Creationism and Its Critics, Robert Pennock continues his attack on what he considers to be the pseudoscience of Intelligent Design Theory. In this critical review, I discuss the main issues in the debate. Although the rhetoric is often heavy and the articles are intentionally stacked against Intelligent Design, there are many interesting topics in the philosophy of science to be found. I conclude that, contra Pennock, there is nothing intrinsically unscientific (...) about Intelligent Design. At this stage, however, it remains more of a provocative idea than a research program. Whether design theorists can bridge this gap is still very much in question. In any case, the debate serves as a modern case study for such classic problems as the nature of scientific explanations, theory change, the demarcation problem, and the role of metaphysical assumptions in the development of science. (shrink)

Introduces the applications of repeated measures design processes with the popular IBM® SPSS® software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as (...) well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: A discussion of the popular repeated measures designs frequently used by researchers, such as one-way repeated measures ANOVA, two-way repeated measures design, two-way mixed design, and mixed design with two-way MANOVA Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study A step-by-step guide to analyzing the data obtained with real-world examples throughout to illustrate the underlying advantages and assumptions A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate- and PhD-level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J. P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical education, social science, and economics. He is the author of Statistics for Exercise Science and Health with Microsoft® Office Excel®, also published by Wiley. (shrink)

Unprecedented advances in the ability to store, analyze, and retrieve data is the hallmark of the information age. Along with enhanced capability to identify meaningful patterns in large data sets, contemporary data science renders many classical models of privacy protection ineffective. Addressing these issues through privacy-sensitive design is insufficient because advanced data science is mutually exclusive with preserving privacy. The special privacy problem posed by data analysis has so far escaped even leading accounts of informational privacy. Here, (...) I argue that accounts of privacy must include norms about information processing in addition to norms about information flow. Ultimately, users need the resources to control how and when personal information is processed and the knowledge to make information decisions about that control. While privacy is an insufficient design constraint, value-sensitive design around control and transparency can support privacy in the information age. (shrink)

Privacy by Design, a globally accepted framework for personal data management and privacy protection, advances the view that privacy cannot be assured solely by compliance with regulatory frameworks but must become an organisation’s default mode of operation. We are proposing a similar template for the research ethics review process. The Research Ethics by Design framework involves research ethics committees engaging researchers during the design phase of the proposal so that ethical considerations may be directly (...) embedded in the science as opposed to being viewed as addendums after the fact. This collaborative research design proposal results in the establishment of a culture of ethical research rather than research with ethical oversight. Both researchers and research ethics committees come to view the review process as one in which individual protection and collective benefit co-exist in a doubly-enabling positive-sum manner. (shrink)

: During the "institutional revolution" between 1870 and 1910 almost two dozen physics institutes were newly erected in Germany. The design of these buildings was largely determined by sets of precautions against various sorts of disturbances. These undertakings were by no means unique. Recent historical studies have identified similar attempts in physics institutes outside Germany. But as yet, hardly a word has been wasted on the necessity of these precautionary measures. It seems to be self-explanatory that disturbances should be (...) precluded from scientific investigations. My paper criticizes this approach. The evidential nature of this assertion rests on the questionable assumption that disturbances are "external factors," which hinder physical research. I examine the 'architecture of disturbance' and show that it is the set of precautions itself which sometimes produces 'disturbing' effects. I then focus on particular sources of disturbance that were taken into account in the design of the buildings, and analyze the aporias that characterize the 'external' definition of disturbances. In conclusion, an alternative understanding of disturbances is offered. Following Michel Serres's concept of the parasite, I suggest that disturbances indicate the "being of relation" in physics research around 1900. From this point of view I finally sketch two novel features that governed the design of physics institutes after the turn of the century. (shrink)

Medical research data is sensitive personal data that needs to be protected from unauthorized access and unintentional disclosure. In a research setting, sharing of data within the scientific community is necessary in order to make progress and maximize scientific benefits derived from valuable and costly data. At the same time, convincingly protecting the privacy of people participating in medical research is a prerequisite for maintaining trust and willingness to share. In this commentary, we will address this issue (...) and the pitfalls involved in the context of the PEP project1 that provides the infrastructure for the Personalized Parkinson’s Project,2 a large cohort study on Parkinson’s disease from Radboud University Medical Center, in cooperation with Verily life Sciences, an Alphabet subsidiary. (shrink)

Context: The problems that are most in need of interdisciplinary collaboration are “wicked problems,” such as food crises, climate change mitigation, and sustainable development, with many relevant aspects, disagreement on what the problem is, and contradicting solutions. Such complex problems both require and challenge interdisciplinarity. Problem: The conventional methods of interdisciplinary research fall short in the case of wicked problems because they remain first-order science. Our aim is to present workable methods and research designs for doing second-order (...) science in domains where there are many different scientific knowledges on any complex problem. Method: We synthesize and elaborate a framework for second-order science in interdisciplinary research based on a number of earlier publications, experiences from large interdisciplinary research projects, and a perspectivist theory of science. Results: The second-order polyocular framework for interdisciplinary research is characterized by five principles. Second-order science of interdisciplinary research must: 1. draw on the observations of first-order perspectives, 2. address a shared dynamical object, 3. establish a shared problem, 4. rely on first-order perspectives to see themselves as perspectives, and 5. be based on other rules than first-order research. Implications: The perspectivist insights of second-order science provide a new way of understanding interdisciplinary research that leads to new polyocular methods and research designs. It also points to more reflexive ways of dealing with scientific expertise in democratic processes. The main challenge is that this is a paradigmatic shift, which demands that the involved disciplines, at least to some degree, subscribe to a perspectivist view. Constructivist content: Our perspectivist approach to science is based on the second-order cybernetics and systems theories of von Foerster, Maruyama, Maturana & Varela, and Luhmann, coupled with embodied theories of cognition and semiotics as a general theory of meaning from von Uexküll and Peirce. (shrink)

What is the state of science these days such that one laboratory in particular—the Clark Center at Stanford—often gets singled out as the right place for the job? The design of new buildings for research must respect architectural and technical conventions that have long defined the essence of a laboratory or risk becoming so idiosyncratic that suspicions are raised about the worthiness of claims made inside. And yet the material form of the laboratory changes incessantly in response (...) both to the instrumentational needs of inquiry and to the political, economic, and moral integument that steers the pursuit of natural knowledge. The Clark Center succeeds as a truth-spot by virtue of its decontextualization from local epistemic pollutants and its universalization as a generic space recognizably like other labs anywhere, even as novel features of its design are indelibly shaped by the market insistences of late capitalism. -/- . (shrink)