This paper discusses how an interactive artwork, the Crowd-Sourced Intelligence Agency, can contribute to discussions of Big Data intelligence analytics. The CSIA is a publicly accessible Open Source Intelligence system that was constructed using information gathered from technical manuals, research reports, academic papers, leaked documents, and Freedom of Information Act files. Using a visceral heuristic, the CSIA demonstrates how the statistical correlations made by automated classification systems are different from human judgment and can produce false-positives, as well (...) as how the display of information through an interface can affect the judgment of an intelligence agent. The public has the right to ask questions about how a computer program determines if they are a threat to national security and to question the practicality of using statistical pattern recognition algorithms in place of human judgment. Currently, the public’s lack of access to both Big Data and the actual datasets intelligence agencies use to train their classification algorithms keeps the possibility of performing effective sous-dataveillance out of reach. Without this data, the results returned by the CSIA will not be identical to those of intelligence agencies. Because we have replicated how OSINT is processed, however, our results will resemble the type of results and mistakes made by OSINT systems. The CSIA takes some initial steps toward contributing to an informed public debate about large-scale monitoring of open source, social media data and provides a prototype for counterveillance and sousveillance tools for citizens. (shrink)

Internet recruitment methods for research are rapidly evolving as technology and participant preferences do as well. This brings data security concerns, balanced with respect to persons for research participants. Internet recruitment research strategies are still important given the importance of creating private and accessible pathways for potentially marginalized populations or people experiencing stigmatized mental health conditions to participate in research. This manuscript describes the case of social media recruitment for a mental health and racism study in (...) Fall 2022 that was infiltrated by bots. We contextualize it in the context of data quality literature, with considerations for future directions including strategies for study design and management, and further research questions. (shrink)

Mobile devices with health apps, direct-to-consumer genetic testing, crowd-sourced information, and other data sources have enabled research by new classes of researchers. Independent researchers, citizen scientists, patient-directed researchers, self-experimenters, and others are not covered by federal research regulations because they are not recipients of federal financial assistance or conducting research in anticipation of a submission to the FDA for approval of a new drug or medical device. This article addresses the difficult policy challenge of promoting (...) the welfare and interests of research participants, as well as the public, in the absence of regulatory requirements and without discouraging independent, innovative scientific inquiry. The article recommends a series of measures, including education, consultation, transparency, self-governance, and regulation to strike the appropriate balance. (shrink)

Using Big Data to better understand urban questions is an exciting field with challenging methodological and theoretical problems. It is also, however, potentially troubling when Big Data is applied uncritically to urban governance via the ideas and practices of “smart cities”. This essay reviews both the historical depth of central ideas within smart city governance —particular the idea that enough data/information/knowledge can solve society problems—but also the ways that the most recent version differs. Namely, that the motivations and ideological underpinning (...) behind the goal of urban betterment is largely driven by technology advocates and neoliberalism rather than the strong social justice themes associated with earlier applications of data to cities. Geosocial media data and metrics derived from them can provide useful insight and policy direction. But one must be ever mindful that metrics don’t simply measure; in the process of deciding what is important and possible to measure, these data are simultaneously defining what cities are. (shrink)

Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them. However, because evolution is an algorithmic process that transcends the substrate in which it occurs, evolution’s creativity is not limited to nature. Indeed, many researchers in the field of digital evolution have observed their evolving algorithms and organisms subverting their intentions, exposing unrecognized bugs in their code, producing unexpected adaptations, or exhibiting outcomes uncannily convergent with ones in nature. Such stories routinely reveal (...) creativity by evolution in these digital worlds, but they rarely fit into the standard scientific narrative. Instead they are often treated as mere obstacles to be overcome, rather than results that warrant study in their own right. The stories themselves are traded among researchers through oral tradition, but that mode of information transmission is inefficient and prone to error and outright loss. Moreover, the fact that these stories tend to be shared only among practitioners means that many natural scientists do not realize how interesting and lifelike digital organisms are and how natural their evolution can be. To our knowledge, no collection of such anecdotes has been published before. This paper is the crowd-sourced product of researchers in the fields of artificial life and evolutionary computation who have provided first-hand accounts of such cases. It thus serves as a written, fact-checked collection of scientifically important and even entertaining stories. In doing so we also present here substantial evidence that the existence and importance of evolutionary surprises extends beyond the natural world, and may indeed be a universal property of all complex evolving systems. (shrink)

This paper discusses the implications for public participation in science opened by the sharing of information via electronic media. The ethical dimensions of information flow and control are linked to questions of autonomy, authority and appropriate exploitation of knowledge. It argues that, by lowering the boundaries that limit access and participation by wider active audiences, both scientific identity and practice are challenged in favor of extra-disciplinary and avocational communities such as scientific enthusiasts and lay experts. Reconfigurations of hierarchy, mediated by (...) new channels of information flow, are increasingly visible at the interface between professional and non-professional practice. Setting the scene by surveying the role of the media in defining twentieth-century contexts of lay science, the paper illustrates the appropriation and recuperation of scientific authority being played out in two contemporary models of active public engagement: so-called “citizen science” and varieties of “crowd-sourced science”. Both participatory models are increasingly reliant on information exchange via social media, but may be implemented to support distinctly different societal goals and beneficiaries. (shrink)

Fission of cellular membranes is ubiquitous and essential for life. Complex protein machineries, such as the dynamin and ESCRT spirals, have evolved to mediate membrane fission during diverse cellular processes, for example, vesicle budding. A new study suggests that non-specialized membrane-bound proteins can induce membrane fission through mass action due to protein crowding. Because up to 2/3 of the mass of cellular membranes is contributed by proteins, membrane protein crowding is an important physiological parameter. Considering the complexity of membrane shape (...) transitions during a fission reaction, spatial and temporal variability in protein distribution, and the abundance of intrinsically disordered regions in proteins on an invaginating membrane, protein crowding can have diverse consequences for fission in the cell. The question is, how and to what extent this mechanism combines with the action of dedicated fission machineries. Membrane fission, which is required for formation of vesicles or cytokinesis, can be carried out by specialized proteins like dynamin and the ESCRT complex. Recent work suggests that fission of cellular membranes, which are densely packed with proteins, can also be induced by protein crowding due to high entropic tension. (shrink)

Introduction: Interdisciplinary, transdisciplinary and action research of a city in lockdown. As we write this chapter, most cities across the world are subject to a similar set of measures due to the spread of COVID-19 coronavirus, which is now a global pandemic. Independent of city size, location, or history, an observer would note that almost all cities have now ground to a halt, with their citizens being confined to their private dwellings, social and public gatherings being almost entirely forbidden, (...) and commercial areas being nearly devoid of visitors. Striking as these apparent similarities are, closer scrutiny would reveal important differences between cities and within cities – differences that can be highly relevant to consider when scholars are assessing the responses of cities to this pandemic or trying to predict the consequences of those responses. For example, the public health systems in some cities are better prepared than in others for coping with the increasing number of patients in life threatening conditions. Multigenerational households, which are associated with a greater risk for elderly members, are not equally common in all cities. Tourist destinations have taken a more severe economic hit from the lockdown than those cities which are economically less dependent upon this particular source of income. Communal celebrations in one city will result in a higher number of contagions and perhaps even deaths in this situation, whereas that same social fabric generally does contribute to a population’s health. The pandemic has also had unprecedented effects on differences and inequalities within cities. In cities in the United States, neighborhoods primarily inhabited by African Americans have been disproportionately affected by COVID-19 due to living and health conditions, yet also due to the fact they disproportionately perform vital jobs. Parks and green spaces are crowded, while city centers like Amsterdam’s Red Light District have suddenly lost the bustle of tourism, providing opportunities for citizens to reoccupy scarce public spaces and reclaim ownership. Clearly, such differences between cities are in many cases only discernible to the eye of an expert, possessing the necessary background knowledge to interpret the perceptible local changes caused by the global pandemic. Typically, drawing upon his or her disciplinary training, the expert also knows how to further probe the impact of the pandemic in an appropriate way. However, compared to the usual application of expertise, this crisis situation might, in an unusual way, test even experts. For the pandemic has created a unique situation, imposing unfamiliar constraints on the health, economic, social, and other conditions of cities, constraints that interact in sometimes unexpected ways with each other. Such interactions in turn force experts to collaborate across the boundaries commonly associated with disciplines, their concepts, theories, methods, and assumptions (Klein, 1996). These brief observations of how a virus pandemic can have differential impacts upon various cities, and what this exceptional situation might mean for the application of city methods, allow us to draw a few consequences for the current context of this chapter on interdisciplinary and transdisciplinary research. First, whenever we are investigating a complex and dynamic phenomenon it is by no means easy to determine which disciplinary perspectives are required to do justice to it. Indeed, the choice of useful disciplines can only be made after an initial overview of the situation and a preliminary selection of what appear to be the most important features of the situation. Relevance is key in guiding this selection process and scholars must remain open to the possibility that they may need to revise their earlier assessments of what is relevant and what is not. Second, if scholars from different disciplines were to study different features of a city in isolation, their ‘multidisciplinary’ account would miss important dynamic and complex interactions, such as those between a city’s demographics and geographical situation, its governance and economy. In other words, it is the integration of the perspectives of different disciplines that is crucial, as only then are such interactions taken into account. Indeed, this integration between disciplinary perspectives is what distinguishes an interdisciplinary from a multidisciplinary account. Thirdly, in addition to checking the relevance of disciplines and aiming for their integration, the outcome of interdisciplinary and transdisciplinary research has typically limited generalizability. Since a city is sensitive to a multitude of internal and external dynamical factors, in ways that partly rest upon its socio-cultural history, its investigation will often have the nature of a case study rather than be capable of leading to law-like insights (Krohn, 2010; Menken & Keestra, 2016). As can be seen from these three characteristics of ascertaining the relevance of different disciplinary contributions, the challenge of their integration, and the limited generalizability of their results owing to the specificity of interdisciplinary (ID) and transdisciplinary (TD) research, such research into ‘real world problems’ is clearly distinct from most monodisciplinary research. A consequence of this distinction is the absence of a general ID/TD methodology that can guide specific case studies. By contrast, the collaboration implied in such research requires researchers – and stakeholders, if they are involved – to reflect upon their potential contribution and the implicit assumptions associated with that. We will elaborate on this in the next section. Next, we offer several typologies of integration that urban scholars could employ for their research projects, after which we will offer a few brief analyses of initial collaborations of urban research. Finally, we discuss in more detail the process of the interdisciplinary research project. This will include a brief reflection upon the decision-making process that is implied in such projects. In sum, we aim to provide some guidance in conducting an ID/TD project, albeit not in the form of a definite methodology. (shrink)

WikiSilo is a tool for theorizing across interdisciplinary fields such as Cognitive Science, and provides a vocabulary for talking about the problems of doing so. It can be used to demonstrate that a particular cognitive theory is complete and coherent at multiple levels of discourse, and commensurable with and relevant to a wider domain of cognition. WikiSilo is also a minimalist theory and methodology for effectively doing science. WikiSilo is simultaneously similar to and distinct, as well as integrated and separated (...) from Wikipedia™. This paper will introduce the advantages of WikiSilo for use in the Cognitive Sciences. (shrink)

In the spirit of the pragmatic account of quotation and reporting offered by Macagno and Walton (2017), we outline a systematic pragmatic account of rephrasing. For this purpose, we combine two interrelated methods of inquiry into the variety of uses of rephrase as a persuasive device: (i) the annotation of rephrase types to identify locutionary and illocutionary aspects of rephrase, (ii) the crowd–sourced examination of rephrase types to investigate their perlocutionary effects. As it draws on Waltonian insights and (...) on empirical and experimental research on the (mis)use of rephrase, our approach allows us to ground a novel theoretically–informed and data–driven pragmatic account of rephrase. (shrink)

In the spirit of the pragmatic account of quotation and reporting offered by Macagno and Walton (2017), we outline a systematic pragmatic account of rephrasing. For this purpose, we combine two interrelated methods of inquiry into the variety of uses of rephrase as a persuasive device: (i) the annotation of rephrase types to identify locutionary and illocutionary aspects of rephrase, (ii) the crowd–sourced examination of rephrase types to investigate their perlocutionary effects. As it draws on Waltonian insights and (...) on empirical and experimental research on the (mis)use of rephrase, our approach allows us to ground a novel theoretically–informed and data–driven pragmatic account of rephrase. (shrink)

In the spirit of the pragmatic account of quotation and reporting offered by Macagno and Walton (2017), we outline a systematic pragmatic account of rephrasing. For this purpose, we combine two interrelated methods of inquiry into the variety of uses of rephrase as a persuasive device: (i) the annotation of rephrase types to identify locutionary and illocutionary aspects of rephrase, (ii) the crowd–sourced examination of rephrase types to investigate their perlocutionary effects. As it draws on Waltonian insights and (...) on empirical and experimental research on the (mis)use of rephrase, our approach allows us to ground a novel theoretically–informed and data–driven pragmatic account of rephrase. (shrink)

The aim of this article is to undertake a systematic literature review (SLR) of empirical research that uses multi‐source methods for collecting data about Ethical Leadership (EL). Research on this sensitive subject benefits from the inclusion of data from more than one source, in order to be better supported, and thus contribute to a deeper understanding of leadership and business ethics issues. The search strategy retrieved a total of 50 multi‐source empirical studies on the topic of EL, published (...) until December 2017. This SLR shows that (a) research on EL has focused mostly on the perceptions of followers, possibly because they are the most accessible target of its outcomes, thus restricting the scope of this body of research; (b) EL is studied mainly through consideration of its consequences, a restriction that hinders explanation of the causal processes involved in ethical leadership, which remains a research arena in need of development. The systematic inclusion of other stakeholders in multi‐source methods is advanced as a way to further develop the field. (shrink)

In the era of the global village, crowd sourcing as a new model of service outsourcing is increasingly being valued by all walks of life. This study uses the data envelopment analysis method to explain the crowd sourcing competitiveness of service outsourcing base cities by using input-output efficiency. The crowd sourcing competitiveness among crowd sourcing base cities is organized and analyzed by collating and analyzing the data of 21 service outsourcing base cities in China from 2016 (...) to 2019. The results show that there is no significant difference in the competitiveness of 21 service outsourcing, the overall trend is that the competitiveness of crowd sourcing is not strong, the match between input and output is not high. Comparatively speaking, Beijing, Shanghai, Nanjing, Hangzhou, Suzhou and Wuxi are more competitive in crowd sourcing. Combining with the reality of China's economic development, taking the road of crowd sourcing with Chinese characteristics is a good choice for the development of China's crowd sourcing industry. (shrink)

Citizen Inquiry: Synthesising Science and Inquiry Learning is the first book of its kind to bring together the concepts of citizen science and inquiry-based learning to illustrate the pedagogical advantages of this approach. It shifts the emphasis of scientific investigations from scientists to the general public, by educating learners of all ages to determine their own research agenda and devise their own investigations underpinned by a model of scientific inquiry. 'Citizen Inquiry' is an original approach to research education (...) that refers to mass participation of the public in joining inquiry-led scientific investigations. Using a range of practical case studies underpinned by the theory of inquiry-based learning, this book has significant implications for teaching and learning through exploration of how new technologies can be used to engage with scientific research. Key features include: a new perspective on science education and science practice through crowd-sourced research explanation of the benefits of this innovative approach to teaching and learning a steady shift of emphasis from theory to application for readers to thoroughly understand the current state of research in the field and its applications to practice examples of practical applications of this approach and recommendations on how successful citizen inquiry applications can be developed This edited volume is essential reading for academic researchers and professional educators interested in the potential of online technology in all levels of education, from primary and secondary level through to further education and lifelong learning. It will be ideal reading on any undergraduate or postgraduate course involving Research Methods in education as well as developments in science education and educational software. (shrink)

Existing research shows that people can improve their decision skills by learning what experts paid attention to when faced with the same problem. However, in domains like financial education, effective instruction requires frequent, personalized feedback given at the point of decision, which makes it time‐consuming for experts to provide and thus, prohibitively costly. We address this by demonstrating an automated feedback mechanism that allows amateur decision‐makers to learn what information to attend to from one another, rather than from an (...) expert. In the first experiment, eye movements of N = 100 subjects were recorded while they repeatedly performed a standard behavioral finance investment task. Consistent with previous studies, we found that a significant proportion of subjects were affected by decision bias. In the second experiment, a different group of N = 100 subjects faced the same task but, after each choice, they received individual, machine learning‐generated feedback on whether their pre‐decision eye movements resembled those made by Experiment 1 subjects prior to good decisions. As a result, Experiment 2 subjects learned to analyze information similarly to their successful peers, which in turn reduced their decision bias. Furthermore, subjects with low Cognitive Reflection Test scores gained more from the proposed form of process feedback than from standard behavioral feedback based on decision outcomes. (shrink)

Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence applications. Allegations of racism and sexism have permeated the conversation as stories surface about search engines delivering job postings for well-paying technical jobs to men and not women, or providing arrest mugshots when keywords such as “black teenagers” are entered. Learning algorithms are evolving; they are often created from parsing through large datasets of online information while having truth labels bestowed on them (...) by crowd-sourced masses. These specialized AI algorithms have been liberated from the minds of researchers and startups, and released onto the public. Yet intelligent though they may be, these algorithms maintain some of the same biases that permeate society. They find patterns within datasets that reflect implicit biases and, in so doing, emphasize and reinforce these biases as global truth. This paper describes specific examples of how bias has infused itself into current AI and robotic systems, and how it may affect the future design of such systems. More specifically, we draw attention to how bias may affect the functioning of a robot peacekeeper, a self-driving car, and a medical robot. We conclude with an overview of measures that could be taken to mitigate or halt bias from permeating robotic technology. (shrink)

Purpose Academic scholars have leveraged crowd work platforms such as Amazon Mechanical Turk for human subjects research for almost two decades. However, few scholars have reflected or questioned this mode of academic research. This paper aims to examine three fundamental problems of crowd work and elaborates on their lasting effects on impacting the validity and quality of human subjects research on crowd work. Design/methodology/approach` A critical analysis is conducted on the characteristics of crowd (...) work, and three fundamental problems of crowd work since its origin were identified, namely, the position of “Human-as-a-service,” the confusion of terminology and crowd work platforms’ abdication of responsibilities. Findings This paper explains that the three identified fundamental problems of crowd work render at least two lasting problems in crowd work-based research: first, the negligence of the teleological difference between crowd work and academic research; second, the ontological schism between scholars and institutional review boards (IRBs) in their ethical concerns and practices. Originality/value This paper critiques the foundation of crowd work-based research that has become growingly popular, extolled and taken for granted. Such a critique is deficient in literature and may seem a bit peculiar. However, we hold that it is time to take research ethics seriously in crowd work because we need to introspect and question ourselves as scholars: What is our motive or ethical stance in using crowd work for human subjects research? Is it for advancing scientific knowledge, promoting crowd workers’ welfare, or predominantly for benefiting ourselves from the fast, cheap and “good” data via crowd work? (shrink)

An individual's health, genetic, or environmental-exposure data, placed in an online repository, creates a valuable shared resource that can accelerate biomedical research and even open opportunities for crowd-sourcing discoveries by members of the public. But these data become “immortalized” in ways that may create lasting risk as well as benefit. Once shared on the Internet, the data are difficult or impossible to redact, and identities may be revealed by a process called data linkage, in which online data sets (...) are matched to each other. Reidentification, the process of associating an individual's name with data that were considered deidentified, poses risks such as insurance or employment discrimination, social stigma, and breach of the promises often made in informed-consent documents. At the same time, re-ID poses risks to researchers and indeed to the future of science, should re-ID end up undermining the trust and participation of potential research participants. The ethical challenges of online data sharing are heightened as so-called big data becomes an increasingly important research tool and driver of new research structures. Big data is shifting research to include large numbers of researchers and institutions as well as large numbers of participants providing diverse types of data, so the participants’ consent relationship is no longer with a person or even a research institution. In addition, consent is further transformed because big data analysis often begins with descriptive inquiry and generation of a hypothesis, and the research questions cannot be clearly defined at the outset and may be unforeseeable over the long term. In this article, we consider how expanded data sharing poses new challenges, illustrated by genomics and the transition to new models of consent. We draw on the experiences of participants in an open data platform—the Personal Genome Project—to allow study participants to contribute their voices to inform ethical consent practices and protocol reviews for big-data research. (shrink)

Peer review is often taken to be the main form of quality control on academic research. Usually journals carry this out. However, parts of maths and physics appear to have a parallel, crowd-sourced model of peer review, where papers are posted on the arXiv to be publicly discussed. In this paper we argue that crowd-sourced peer review is likely to do better than journal-solicited peer review at sorting papers by quality. Our argument rests on two (...) key claims. First, crowd-sourced peer review will lead on average to more reviewers per paper than journal-solicited peer review. Second, due to the wisdom of the crowds, more reviewers will tend to make better judgments than fewer. We make the second claim precise by looking at the Condorcet Jury Theorem as well as two related jury theorems developed specifically to apply to peer review. (shrink)

The purpose of this study is to present a rigorous, focused review on how this field of ethical sourcing research has grown and evolved over the decades, providing implications for future research. We combine two research methodologies in this study: a systematic literature review and a citation network analysis. The former is used as a scientific tool to select the most relevant ethical sourcing articles, while the latter is then applied as a research technique to analyse (...) these selected articles. Such a combined approach allows for a rigorous investigation into this field of research in a more scientific and objective way. Based on this approach, we identify distinctive features of ethical sourcing studies such as growth trends and content issues; important articles that have played a significant role in developing this field; evolutionary paths that show how its knowledge has been created and transferred; emerging trends that have received growing attention in the recent literature; main research areas that underlie the entire ethical sourcing studies; and major implications that need to be pursued in future research. The results of this study provide not only the current status of the literature but also the patterns of evolution in this field of research, thus contributing to the existing literature. (shrink)

The main characteristic of the modern environment is the negative change by its people – destruction and pollution. Man is part of the biosphere and the technogenic transformations of the biosphere inevitably affect him. Under the influence of technogenic civilization, all spheres of human activity undergo changes, and science above all. Ecology is especially keenly aware of the challenges of technogenic civilization. It focuses on anthropogenic factors, works with the human environment. At the same time, its problem field is expanding (...) due to interdisciplinary research and the allocation of knowledge of new environmental disciplines into an independent industry. The interdisciplinarity of modern ecology is most clearly visible on the example of such a direction as informational ecology. The presence of the digital environment in human life has grown so much that it requires the separation of the digital information environment into a separate subsystem. Information ecology studies the laws of the influence of information on the formation and functioning of man. In turn, interdisciplinarity, assuming the use of knowledge from various branches of science, brings us to the problems of the collective agent of cognition and distributed knowledge. In ecology, the problems of the collective agent of cognition are implemented through crowd-sourcing technology. Ecology is a science that requires massive collection of observation data (samples of water, air, soil pollution in various, sometimes hard-to-reach corners of the planet, observation of fluctuations in the number of species of animals and plants). The popularity of crowdsourcing projects in the field of ecology is explained by the fact that the challenges and threats of anthropogenic civilization have generated such a trend of our time as environmental orientation or environmentalism. Ecological crowdsourcing projects, inspired by the philosophy of environmentalism, can serve as an answer to the challenges of technogenic civilization. (shrink)

This paper reviews the actual and potential use of social media in emergency, disaster and crisis situations. This is a field that has generated intense interest. It is characterised by a burgeoning but small and very recent literature. In the emergencies field, social media (blogs, messaging, sites such as Facebook, wikis and so on) are used in seven different ways: listening to public debate, monitoring situations, extending emergency response and management, crowd-sourcing and collaborative development, creating social cohesion, furthering causes (...) (including charitable donation) and enhancing research. Appreciation of the positive side of social media is balanced by their potential for negative developments, such as disseminating rumours, undermining authority and promoting terrorist acts. This leads to an examination of the ethics of social media usage in crisis situations. Despite some clearly identifiable risks, for example regarding the violation of privacy, it appears that public consensus on ethics will tend to override unscrupulous attempts to subvert the media. Moreover, social media are a robust means of exposing corruption and malpractice. In synthesis, the widespread adoption and use of social media by members of the public throughout the world heralds a new age in which it is imperative that emergency managers adapt their working practices to the challenge and potential of this development. At the same time, they must heed the ethical warnings and ensure that social media are not abused or misused when crises and emergencies occur. (shrink)

Dependence in nanotechnology on external funding and academic-industry relationships has led to questions concerning its influence on research directions, as well as the potential for conflicts of interest to arise and impact scientific integrity and public trust. This study uses a survey of 193 nanotechnology industry and academic researchers to explore whether they share similar concerns. Although these concerns are not unique to nanotechnology, its emerging nature and the prominence of industry funding lend credence to understanding its researchers’ views, (...) as these researchers are shaping the norms and direction of the field. The results of the survey show general agreement that funding sources are influencing research directions in nanotechnology; many respondents saw this influence in their own work as well as other researchers’ work. Respondents also agreed that funding considerations were likely to influence whether researchers shared their results. Irrespective of their institutional affiliation or funding status, twice as many researchers as not considered financial conflicts of interest a cause for concern, and three times as many respondents as not disagreed financial conflicts of interest in nanotechnology were uncommon. Only a third was satisfied with the way that conflicts of interest are currently managed and believed current procedures would protect the integrity of nanotechnology research. The results also found differences in views depending on researchers’ institutional affiliation and funding status. (shrink)

Legal inference is fundamental for building and verifying hypotheses in police investigations. In this study, we build a Natural Language Inference dataset in Korean for the legal domain, focusing on criminal court verdicts. We developed an adversarial hypothesis collection tool that can challenge the annotators and give us a deep understanding of the data, and a hypothesis network construction tool with visualized graphs to show a use case scenario of the developed model. The data is augmented using a combination of (...) Easy Data Augmentation approaches and round-trip translation, as crowd-sourcing might not be an option for datasets with sensible data. We extensively discuss challenges we have encountered, such as the annotator’s limited domain knowledge, issues in the data augmentation process, problems with handling long contexts and suggest possible solutions to the issues. Our work shows that creating legal inference datasets with limited resources is feasible and proposes further research in this area. (shrink)

ArgumentThe deficit model of science communication assumes that the creation and dissemination of knowledge is limited to researchers with formal credentials. Recent challenges to this model have emerged among “e-patients” who develop extensive online activist communities, demand access to their own health data, conduct crowd-sourced experiments, and “hack” health problems that traditional medical experts have failed to solve. This article explores the aesthetics of medical media that enact the transition from a deficit model to a patient-driven model of (...) visual representation and health communication. I present a framework for understanding the role of film and video in patient movements by analyzing the historical transition from researchers filming patients as nameless, voiceless human research subjects to patients recording their own health narratives through activist cinematography. By comparing several approaches to patient-centered video, I argue that imperfect production aesthetics play a critically important role in establishing the credibility of health communications. (shrink)

Wikipedia is an important instance of “Big Data,” both because it shapes people's frames of reference and because it is a window into the construction—including via crowd-sourcing—of new bodies of knowledge. Based on our own research as well as others' critical and ethnographic work, we take as an instance Wikipedia's evolving representation of the field of sociology and sociologists, including such gendered aspects as male and female scholars and topics associated with masculinity and femininity. Both the gender-specific dynamics (...) surrounding what counts as “notability” on the online encyclopedia and Wikipedia's relative categorical incoherence are discussed. If “Big Data” can be said to construct its own object, it is, in this instance, a curious and lop-sided one, exemplifying pitfalls as well as promise with respect to more accurate and democratic forms of knowledge. (shrink)

This paper proposes a multimodal ethnosemiotic conceptual framework for culturally themed selective Web archiving, taking as a practical example the curation of the London French Special Collection in the UK Web Archive. Its focus on a particular ‘community’ is presented as advantageous in overcoming the sheer scale of data available on the Web; yet, it is argued that these ethnographic boundaries may be flawed if they do not map onto the collective self-perception of the London French. The approach establishes several (...) theoretical meeting points between Pierre Bourdieu’s ethnography and Gunther Kress’s multimodal social semiotics, notably, the foregrounding of practice and the meaning-making potentialities of the everyday; the implications of language and categorisation; the interplay between subject and object; evolving notions of agency, authorship and audience; together with social engagement, and the archive as dynamic process and product. The curation rationale proposed stems from Bourdieu’s three-stage field analysis model, which places a strong emphasis on habitus, considered to be most accurately presented through blogs, yet necessitates its contextualisation within the broader field, through institutional websites, for example, whilst advocating a reflexive awareness of the researcher/curator’s role. This, alongside the Kressian acknowledgement of the inherent multimodality of on-line resources, lends itself convincingly to selection and valuation strategies, whilst the discussion of language, genre, authorship and audience is relevant to the potential cataloguing of Web objects. By conceptualising the culturally themed selective Web-archiving process within the ethnosemiotic framework constructed, concrete recommendations emerge regarding curation, classification and crowd-sourcing. (shrink)

Influential or frequently cited business ethics research does not appear in a vacuum; our study reveals its predominant sources and contributors by discipline. By examining citations from articles published in three top business ethics journals (Journal of Business Ethics, Business Ethics Quarterly and Business Ethics: A European Review) over the period 2004–2008, we document that the preponderance of influential business ethics research comes primarily from the management faculty. In addition, management journals and management books are the predominant sources (...) for influential business ethics research. Further, among the management fields, organizational behavior and organizational structure predominate leadership and strategy as the major subject areas for influential business ethics research, suggesting that this influential body of research is focused on a micro rather than on a macro context. These empirical results lend credence to the perception that there is a silo effect in influential business ethics research and suggest that business ethics research in a micro context might have permeated to the teaching of business ethics. (shrink)

Influential or frequently cited business ethics research does not appear in a vacuum; our study reveals its predominant sources and contributors by discipline. By examining citations from articles published in three top business ethics journals (Journal of Business Ethics, Business Ethics Quarterly and Business Ethics: A European Review) over the period 2004–2008, we document that the preponderance of influential business ethics research comes primarily from the management faculty. In addition, management journals and management books are the predominant sources (...) for influential business ethics research. Further, among the management fields, organizational behavior and organizational structure predominate leadership and strategy as the major subject areas for influential business ethics research, suggesting that this influential body of research is focused on a micro rather than on a macro context. These empirical results lend credence to the perception that there is a silo effect in influential business ethics research and suggest that business ethics research in a micro context might have permeated to the teaching of business ethics. (shrink)

Increasing numbers of marketers are turning to the crowd—members of the public engaged with brands via the Internet—to develop marketing and advertising campaigns. Some marketers use social media to connect directly with customers, while others use crowdsourcing agencies to harness the power of crowd labor. As more members of the public become aware of creative crowdsourcing, they look to the media to understand more about it. As a result, it is important to examine how the media currently frame (...) creative crowdsourcing to the public, particularly when numerous ethical issues about crowdsourcing have been identified. This study examines media coverage of creative crowdsourcing to examine how benefits and challenges are presented. Informed by a framework developed by Swain, results indicate that most media coverage focuses solely on benefits to the industry: benefits to the ‘crowd’ are rarely discussed, yet drawbacks to the crowd are mentioned more frequently than drawbacks for the industry. This provides a skewed vision of what creative crowdsourcing is and may affect participation in the practice. (shrink)

For graduate students to succeed as professionals, they must develop a set of general “survival skills”. These include writing research articles, making oral presentations, obtaining employment and funding, supervising, and teaching. Traditionally, graduate programs have offered little training in many of these skills. Our educational model provides individuals with formal instruction in each area, including their ethical dimensions. Infusion of research ethics throughout a professional skills curriculum helps to emphasize that responsible conduct is integral to succeeding as a (...) researcher. It also leads to the consideration of ethical dimensions of professional life not covered in traditional ethics courses. (shrink)

A Research Guide to the Ancient World: Print and Electronic Sources is a partially annotated bibliography that covers the study of the ancient world, and closes the traditional subject gap between the humanities and the social sciences in this area of study. This book is the only bibliographic resource available for such holistic coverage.

Drawing on accounts of the author's personal responses while undertaking a qualitative study on the norms governing the relationship between nurses and mothers, it is argued that such responses, rather than being seen as a source of bias, have the potential to be a source of insight and interpretation in the research. This paper tells the ‘inside’ story of previously published research that was ‘sanitized’ by the omission of any reference to die researcher's subjective responses. The recognition of (...) such researcher responses has implications for how research is supervised and presented. (shrink)

The aim of this article is to map the intellectual structure of scholarship on economic and social value in the sport industry. Given that bibliometric techniques are specially appropriate for identifying the intellectual structures of a field of knowledge and complement traditional literature reviews, a co-citation bibliometric analysis has been applied. This kind of analysis identifies networks of interconnections. Therefore, we aim to detect both the most and the least active research areas in this field, as well as their (...) sub-disciplinary composition. There is an abundance of literature on sport efficiency and economic efficiency in the sport industry, our main conclusion is the identification of a literature gap in regard to social value in sport organisations, which is expected to be a research opportunity for scholars. This is in line with the lack of standardisation in the measurement for social value in sport organisations. In fact, similar to analysis undertaken in the past few decades of other industries with contributions to stakeholders and the multi-fiduciary theory of stakeholders, both the creation of social value indicators for sport entities and the empirical analysis of social efficiency in sport institutions, are identified and outlined as future areas of research. Therefore, this bibliometric analysis will contribute to determine the future challenges that this area of research will face in the following years so as to fill the literature gap identified. (shrink)

Far from being unwelcome or impossible in a mathematical setting, indeterminacy in various forms can be seen as playing an important role in driving mathematical research forward by providing “sources of newness” in the sense of Hutter and Farías :434–449, 2017). I argue here that mathematical coincidences, phenomena recently under discussion in the philosophy of mathematics, are usefully seen as inducers of indeterminacy and as put to work in guiding mathematical research. I suggest that to call a pair (...) of mathematical facts a coincidence is roughly to suggest that the investigation of connections between these facts isn’t worthwhile. To say of this pair, “That’s no coincidence!” is to suggest just the opposite. I further argue that this perspective on mathematical coincidence, which pays special attention to what mathematical coincidences do, may provide us with a better view of what mathematical coincidences are than extant accounts. I close by reflecting on how understanding mathematical coincidences as generating indeterminacy accords with a conception of mathematical research as ultimately aiming to reduce indeterminacy and complexity to triviality as proposed in Rota Indiscrete thoughts, Birkhäuser, 1997). (shrink)