Academic social networks and social media have revolutionised the way individuals gather information and express themselves, particularly in academia, science, and research. Through the lens of academics, this study aims to investigate the epistemological and psychosocial aspects of these knowledge sources. The epistemological attitude model presented a framework to delve into and reflect upon the existence of knowledge sources, comprising subjective, interactional, and knowledge dimensions. One hundred and twenty-six university academics participated in this study, including lecturers and researchers from (...) different higher education institutions in Latvia. The study employed two methods: the Epistemological Attitudes towards Sources of Knowledge Questionnaire and the Epistemological Attitudes towards Sources of Knowledge Semantic Questionnaire. The data analysis involved several procedures, including exploratory and confirmatory factor analysis, correlation analysis, and test statistics. By implementing these methods, the study gained valuable insights into the sources of knowledge, examining them from two perspectives. The first perspective brought attention to the differences in academics’ appraisals by discussing their understanding, approach, use, and valuations of these sources. By scrutinising the constructs of meanings, the second perspective sheds light on the anticipated knowledge which is deemed ideal, the concrete knowledge that is both social and objective, and the subjectively valuable nature of academic social networks and social media. The findings underscore the specialised knowledge and qualities that academics rely on for producing knowledge. In terms of epistemology, methodology, social science, and education, the study holds theoretical and practical implications, especially in comprehending knowledge and its sources. (shrink)

In recent years, the "science of science" has combined computational methods with novel data sources in order to understand the dynamics of research communities. As the name suggests, science of science is primarily focused on science and technology, with less attention to the humanities. However, many of the questions investigated by science of science are also relevant to academic philosophy: To what extent can the discipline be divided into subfields with different methods and topics? How are prestige and credit (...) distributed across the discipline? And how do these factors interact with other factors, such as gender, to shape job market outcomes? In this paper, we provide some empirically-informed answers to these questions by applying computational methods to job market data for Anglophone academic philosophy. We find, first, evidence that is consistent with the analytic-continental divide, but is also consistent with other, more complex ways of organizing academic philosophy into distinct intellectual traditions; second, a clear prestige hierarchy, dividing PhD programs into two distinct prestige categories; and third, evidence that gender, prestige, and country have notable effects on academic job market outcomes for recent philosophy PhDs. (shrink)

Scientific networks are often credited with bringing about institutional change and professional advancement, but less attention has been paid to their instability and occasional failures. In the 1970s optimism among academic women was high as changing US policies on sex discrimination in the workplace, including higher education, seemed to promise equity. Encouraged by colleagues, Shyamala Rajender charged the University of Minnesota with sex discrimination when it failed to consider her for a tenure-track position. The widely cited case of this (...) chemist was not, however, settled easily and involved nearly a decade of university grievance procedures and litigation that grew to a class action lawsuit. As the case gained national attention and internal resistance stiffened, the clusters of women who had been encouraging flickered, faded and sometimes regrouped. A negotiated settlement (consent decree) ended Rajender’s case, and it opened the door for hundreds of others to present their grievances regarding gender discrimination. Networks and support groups proved important but also unstable for individuals who sought equity before and during the implementation of the decree. The Rajender case thus exposes the painful, balky and inevitably contentious process of fighting discrimination. It also demonstrates the power and limits of institutions and litigation, as well as the possibilities and disappointments of informal and formal women’s networks. (shrink)

The purpose of this study is to train an artificial neural network model for predicting student failure in the academic leveling course of the Escuela Politécnica Nacional of Ecuador, based on academic and socioeconomic information. For this, 1308 higher education students participated, 69.0% of whom failed the academic leveling course; besides, 93.7% of the students self-identified as mestizo, 83.9% came from the province of Pichincha, and 92.4% belonged to general population. As a first approximation, a neural (...) network model was trained with twelve variables containing students’ academic and socioeconomic information. Then, a dimensionality reduction process was performed from which a new neural network was modeled. This dimension reduced model was trained with the variables application score, vulnerability index, regime, gender, and population segment, which were the five variables that explained more than 80% of the first model. The classification accuracy of the dimension reduced model was 0.745, while precision and recall were 0.883 and 0.778, respectively. The area under ROC curve was 0.791. This model could be used as a guide to lead intervention policies so that the failure rate in the academic leveling course would decrease. (shrink)

A new multi-disciplinary degree program in education and information studies was developed to uniquely facilitate educators’ capacity to be responsive to the demands of a digitally connected world. Charles Sturt University’s Master of Education (Knowledge Networks and Digital Innovation) aims to develop agile leaders in new cultures of digital formal and informal learning. The co-construction of knowledge through interpersonal discourse creates a pedagogical tension between a focus on knowledge-based instruction and outcomes, and on praxis-based instruction. This digital context draws attention (...) to academic integrity issues in online learning environments. Through the new subject Game-Based Learning, students engaged in theory, practice, trends in game designs and immersive aspects of game, utilizing the technology and pedagogical affordances of a range of online tools. The subject builds on the keystone subject and incorporates reflective participation and a culture of participatory learning through integration of social media, social scholarship and open sharing of ideas, resources and experiences online within the broader education community. Subject engagement and assessment design incorporated academic integrity strategies, and needed individual and group collaboration to be fully integrated into the learning experience of the students, thus modeling practices relevant to the student’s own processional practices. This paper also considers the contribution of global connectedness to the success of the pedagogic processes used for embedding academic integrity through social scholarship into the curriculum and learning experiences. (shrink)

Temporary international mobility is an increasingly relevant practice amongst academics. However, current literature lacks understanding on whether such mobility influences the individual academics’ entrepreneurial knowledge. This paper hypothesizes that temporary international academic mobility is conducive to the academic’s entrepreneurial knowledge and that interpersonal social networks play a crucial role in the transfer of this knowledge through their strength and size properties. We perform a Partial Least Squares - Structural Equation Model and build upon an original survey data set (...) collected amongst 281 Chinese academics. We find that the size of one’s interpersonal social network fully mediates the relationship between international academic mobility and entrepreneurial knowledge. This result points to the importance of a structurally broad - rather than a relationally strong - international social network in the academic’s accumulation of entrepreneurial knowledge abroad. (shrink)

It is meaningful for a researcher to find some proper collaborators in complex academic tasks. Academic collaborator recommendation models are always based on the network embedding of academic collaborator networks. Most of them focus on the network structure, text information, and the combination of them. The latent semantic relationships exist according to the text information of nodes in the academic collaborator network. However, these relationships are often ignored, which implies the similarity of the (...) researchers. How to capture the latent semantic relationships among researchers in the academic collaborator network is a challenge. In this paper, we propose a content-enhanced network embedding model for academic collaborator recommendation, namely, CNEacR. We build a content-enhanced academic collaborator network based on the weighted text representation of each researcher. The content-enhanced academic collaborator network contains intrinsic collaboration relationships and latent semantic relationships. Firstly, the weighted text representation of each researcher is obtained according to its text information. Secondly, a content-enhanced academic collaborator network is built via the similarity of the weighted text representation of researchers and intrinsic collaboration relationships. Thirdly, each researcher is represented as a latent vector using network representation learning. Finally, top- k similar researchers are recommended for each target researcher. Experiment results on the real-world datasets show that CNEacR achieves better performance than academic collaborator recommendation baselines. (shrink)

Along with urban development globally, the NIMBY crisis has been a complex social problem, which requires urgent remedial action. The inevitable management of Municipal Solid Waste has been one of the toughest risk management tasks in the worldwide modernization process. At present, certain fuzzy and unstructured results and methods have been formed for MSW-NIMBY crisis response, mainly focusing on the sociology and politics which scatter in complex and sensitive reports and news. Aiming at enhancing the effectiveness of data mining from (...) specific sparse text of MSW-NIMBY crisis, an improved knowledge extraction method is developed. Through rule-based text mining and complex network analysis, the Entity Relationship network of MSW-NIMBY crisis is reconstructed. Meanwhile, a novel transitivity for relationship between entities in semantic analysis is proposed to improve the feasibility and accuracy of information extraction. Characteristics and regularity of MSW-NIMBY crisis evolution and experience of crisis governance could be identified effectively. Results show that knowledge integration and ER transitivity can enhance knowledge recognition and major other factors, which could help formulate the governance strategies of NIMBY crisis from academic texts. (shrink)

The phenomenon of knowledge withholding is a vital issue that undermines knowledge sharing and innovation, hinders the development of offline and online organizations. Clarifying the relationship between influencing factors and knowledge withholding is significant to improve the phenomenon of knowledge withholding in offline and online organizations. Few types of research focus on the online virtual academic community and integrate the three factors of knowledge, individual, and environment to research knowledge withholding. To solve the limitation, this research is based on (...) sociology and psychology-related theories. The two dimensions of enabling and inhibition are divided into factors affecting knowledge withholding. An attempt is made to explore the path between the three types of factors influencing knowledge, individual and environment, and knowledge withholding. This study collected data from 616 users in China’s virtual academic community. It used a structural equation model combined with a cross-layer connected neural network to conduct an empirical analysis on the proposed hypothesis. The results found that: in the virtual academic community, knowledge power in the enabling dimension is the main reason for users to form knowledge psychological ownership, which affects users’ knowledge withholding. However, the effect of professional commitment on users’ knowledge psychological ownership is not significant. After SEM-ANN model fitting, the combined inhibitory effect of community privacy protection and community reciprocity on user knowledge withholding in the inhibition dimension is significantly improved. This research has a specific guiding significance for enhancing the knowledge withholding phenomenon of the virtual academic community and creating an excellent academic exchange atmosphere. (shrink)

The analysis of social networks has remained a crucial and yet understudied aspect of the efforts to measure Triple Helix linkages. The Triple Helix model aims to explain, among other aspects of knowledge-based societies, “the current research system in its social context” (Etzkowitz and Leydesdorff 2000:109). This paper develops a novel approach to study the research system from the perspective of the individual, through the analysis of the relationships among researchers, and between them and other social actors. We develop a (...) new set of techniques and show how they can be applied to the study of a specific case (a group of academics within a university department). We analyse their informal social networks and show how a relationship exists between the characteristics of an individual’s network of social links and his or her research output. (shrink)

In this paper, we examine how a research institution’s social structure and academic opinion leaders’ presence shaped the early adoption of a scientific innovation. Our case considers the early engagement of mathematical economists at the Cowles Commission with John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior. We argue that scholars with administrative leadership functions who were not only scientifically but also organizationally central – in our case the director of research Jacob Marschak – played a (...) crucial role in promoting the adoption of the Theory of Games. We support our argument with a scientometric analysis of all acknowledgments made in 488 papers published from 1944 to 1955 in the two main paper series at Cowles. We apply blockmodeling techniques to the acknowledgments network to reconstruct the formal and informal social structure at Cowles at the time. Our findings suggest that studies of the early adoption of scientific theories benefit from complementary perspectives on the role of academic leaders and scientists. Our study reveals the importance of formal and informal social structures and the agenda of administrative leaders in these structures to explain their adoption. (shrink)

Academic cheating has become a pervasive practice from primary schools to university. This study aims at investigating this phenomenon through a nomological network which integrates different theoretical frameworks and models, such as trait and social-cognitive theories and models regarding the approaches to learning and contextual/normative environment. Results on a sample of more than 200 Italian university students show that the Amoral Manipulation facet of Machiavellianism, Academic Moral Disengagement, Deep Approach to Learning and Normative Academic Cheating are (...) significantly associated with Individual Academic Cheating. Moreover, results show a significant latent interaction effect between Normative Academic Cheating and Amoral Manipulation Machiavellianism: "amoral Machiavellians" students are more prone to resort to Academic Cheating in contexts where Academic Cheating is adopted as a practice by their peers, while this effect is not significant in contexts where Academic Cheating is not normative. Results also show that Academic Moral Disengagement and Deep Approach to learning partially mediate the relationship between Amoral Manipulation and Academic Cheating. Practical implications of these results are discussed. (shrink)

This study aimed to examine the relationship between anxiety, depression, subjective well-being, and academic performance in Peruvian university health science students with COVID-19-infected relatives. Eight hundred two university students aged 17–54 years ; 658 females and 144 males ; who completed the Patient Health Questionnaire-2, Coronavirus Anxiety Scale, Subjective Well-being Scale, and Self-reporting of Academic Performance participated. A partial unregularized network was estimated using the ggmModSelect function. Expected influence values were calculated to identify the central nodes and (...) a two-tailed permutation test for the difference between the two groups. The results reveal that a depression and well-being node presents the highest relationship. The most central nodes belonged to COVID-19 anxiety, and there are no global differences between the comparison networks; but at the local level, there are connections in the network of COVID-19-infected students that are not in the group that did not present this diagnosis. It is concluded that anxious–depressive symptomatology and its relationship with well-being and evaluation of academic performance should be considered in order to understand the impact that COVID-19 had on health sciences students. (shrink)

I show that the social stratification of academic science can arise as a result of academics’ preference for reading work of high epistemic value. This is consistent with a view on which academic superstars are highly competent academics, but also with a view on which superstars arise primarily due to luck. I argue that stratification is beneficial if most superstars are competent, but not if most superstars are lucky. I also argue that it is impossible to tell whether (...) most superstars are in fact competent or lucky, or which group a given superstar belongs to, and hence whether stratification is overall beneficial. (shrink)

Academic Placement Data and Analysis (APDA) has released its complete 2017 Final Report, an 81-page document that collects data on PhD-granting philosophy programs (including ratings by former students, placement rates, and diversity) and the discipline as a whole (including hiring networks, placement maps, cluster analyses of programs, job descriptions, non-academic hiring). The report was created by Carolyn Dicey Jennings, Patrice Cobb, Pablo Contreras Kallens, and Angelo Kyrilov, all of University of California, Merced. (from Daily Nous).

The increasing frequency and scope of financial crises has made global financial stability one of the major concerns of economic policy and decision makers. Under this highly complex environment, supervision of the financial system has to be thought of as a systemic task, focusing not only on the strength of the institutions but also on the interdependent relations among them, unraveling the structure and dynamic of the system as a whole. In recent years, network science has emerged as a (...) leading tool for the investigation of complex systems. Here we review several applications of network science in finance and economics, and discuss existing challenges and future directions which will substantiate network science as a key tool for financial academics, practitioners, and policy and decision makers. (shrink)

The outputs of economic forecasting—predictions for national economic indicators such as GDP, unemployment rates and inflation—are all highly visible. The production of these forecasts is a much more private affair, however, typically being thought of as the work of individual forecasters or forecast teams using their economic model to produce a forecast that is then made public. This conception over-emphasises the individual and the technical whilst silencing the broader social context through which economic forecasters develop the expertise that is essential (...) for the credibility of their predictions. In particular, economic forecasts are given meaning and fine-tuned through the social and institutional networks that give forecasters access to the expertise of a heterogeneous mix of academics, policy-makers and business people. Within these broader groups, individual forecasters often create private forecast ‘clubs’, where subscribers have privileged access to the expertise of the economist, but where the forecasters also have privileged access to their clients’ own expert knowledge. In examining these aspects of the forecasters’ work I show that the visible and audible activities of modelling and forecasting are made possible and plausible by virtue of the modeller’s invisible interaction with a wider network.Keywords: Expertise; Economic forecasting; Periodic table of expertise; Judgement. (shrink)

Large scale experiments at CERN’s Large Hadron Collider rely heavily on computer simulations, a fact that has recently caught philosophers’ attention. CSs obviously require appropriate modeling, and it is a common assumption among philosophers that the relevant models can be ordered into hierarchical structures. Focusing on LHC’s ATLAS experiment, we will establish three central results here: with some distinct modifications, individual components of ATLAS’ overall simulation infrastructure can be ordered into hierarchical structures. Hence, to a good degree of approximation, hierarchical (...) accounts remain valid at least as descriptive accounts of initial modeling steps. In order to perform the epistemic function Winsberg Model-based reasoning in scientific discovery. Kluwer Academic/plenum Publishers, New York, pp 255–269, 1999) assigns to models in simulation—generate knowledge through a sequence of skillful but non-deductive transformations—ATLAS’ simulation models have to be considered part of a network rather than a hierarchy, in turn making the associated simulation modeling messy rather than motley. Deriving knowledge-claims from this ‘mess’ requires two sources of justification: holistic validation :253–262, 2010; in Carrier M, Nordmann A Science in the context of application. Springer, Berlin, pp 115–130, 2011), and model coherence. As it turns out, the degree of model coherence sets HEP apart from other messy, simulation-intensive disciplines such as climate science, and the reasons for this are to be sought in the historical, empirical and theoretical foundations of the respective discipline. (shrink)

Big Data research is currently split on whether and to what extent Twitter can be characterized as an informational or social network. We contribute to this line of inquiry through an investigation of digital humanities scholars’ uses and gratifications of Twitter. We conducted a thematic analysis of 25 semi-structured interview transcripts to learn about these scholars’ professional use of Twitter. Our findings show that Twitter is considered a critical tool for informal communication within DH invisible colleges, functioning at varying (...) levels as both an information network and a social network. We find that Twitter follow relationships reflect common academic interests and are closely tied to scholars’ pre-existing social ties and conference or event co-attendance. The concept of the invisible college continues to be relevant but requires revisiting. The invisible college formed on Twitter is messy, consisting of overlapping social contexts, scholars with different habits of engagement, and both formal and informal ties. Our research illustrates the value of using multiple methods to explore the complex questions arising from Big Data studies and points toward future research that could implement Big Data techniques on a small scale, focusing on sub-topics or emerging fields, to expose the nature of scholars’ invisible colleges made visible on Twitter. (shrink)

A complement to _Researching Schools_ by the same authors, this book provides readers with a strong theoretical framework for school-based research as well as valuable advice on the ways in which networks of specialist groups can work together to create a broad-ranging approach to educational research. Through a critical examination of existing research and current thinking, the authors draw out implications for the effective policy and practice of school-based research. Illustrated throughout with case studies and including a full and detailed (...) literature review, this book will be a vital resource for all academics pursuing research into education. (shrink)

The author presents an historical account of scientific work conducted at a commercial biotech firm in San Diego called Hybritech. It tells of disruptions in research programs following the acquisition of the company by the pharmaceutical giant Eli Lilly in 1986. The story centers on responses to an organizational challenge that research managers and scientists in any setting, academic or industrial, must confront—how to create and sustain an organizational culture that is conducive to creativity and innovation. The case provides (...) an occasion for evaluating the strengths and weaknesses of two leading theoretical accounts of innovation in social studies of science and technology—sociological network analysis and actor-network theory. (shrink)

In the following article, we propose an analytical framework for the analysis of Corporate Social Responsibility (CSR) Standards based on the paradigmatic nexus of voice and entitlement. We follow the theory of decentration and present the concept of Transnational Norm-Building Networks (TNNs), which — as we argue — comprise a new nexus of voice and entitlement beyond the nation—state level. Furthermore, we apply the analytical framework to the ISO 26000 initiative and the Global Compact. We conclude the article with remarks (...) on the legitimacy and the effectiveness of norms generated by TNNs. Through this, we aim to contribute a new theoretical foundation to the analysis of CSR standards, which enables us to undertake a more differentiated description of TNN structures which have hitherto been ignored in academic literature. Secondly, we will contribute to the practical debate on ISO 26000 and the Global Compact by proposing new perspectives on the conditions of their legitimacy and effectiveness based on the voice-entitlement nexus. (shrink)

This article explores the relationships between several notions: the `creative economy'; New Growth Theory and the primacy of ideas; academic entrepreneurship; and the new paradigm of cultural production. Broadly conceptualized, the creative economy links the primacy of ideas in both arts and sciences in a more embedded and social framework of entrepreneurship which positions education as central, since its institutions are the primary knowledge institutions that provide the conditions for the transmission and development of new ideas. Entrepreneurship develops within (...) networks that use new information and communication technologies. The role of the arts, humanities and social sciences becomes re-profiled as crucial in the generation of new ideas within the creative economy, moving discussion and analysis away from a single focus on Science, Technology, Engineering and Mathematics (STEM) and the hard sciences such that the redesign of institutional/academic environments is necessary in order to capitalize on ideas and move from creativity to systems of innovation. (shrink)

In a chronically migrant world, the academy is no exception. Academic migrants, who shift to another space and another world view, feature in the educational landscape of every continent. However, a global lens may not be useful in understanding their experiences, nor in seeking to support them in their endeavours. This dispatch discusses ways of understanding the intersections of space, movement and world view derived from Pacific thinking of various sources. The discussion is grounded in the activities of Leadership (...) Pacific (LP). This is not a program but a cause-based movement. It provides a safe space for storying as learning and leadership. LP has grown from a single group to become a fluid, welcoming and ever-morphing network of inter-locking clusters across the region. Responding to the need for a village-like web of caring and reciprocal relationships, LP fills the gap experienced by many Pacific-origin academic migrants when faced with academic practices and relationships. Through its people-centred storying pedagogy, LP provides an alternative space in which indigenous ways of knowing and being can be at home and the racism inherent in a mono-cultural understanding of academia is challenged. It welcomes both Pacific-origin academic migrants and those academics who seek alignment with a village-like people-centred approach to relationships. The LP experience, which now includes an international conference, provides a model of contextualised action that may be helpful in supporting academic migrants from other regions. Long-term, the influence of movements such as LP has the potential to shift deep-seated universal assumptions of what movement and space might mean for the academy, and of ethical forms of response to the needs and potentials of the academically migrant. (shrink)

The legacy of totalitarianism thwarts discourse and practice of academic freedom in post-Soviet universities. For legacy-holders, “academic freedom” causes disorientation, irresponsibility, demoralization and inequity. They see more threats than benefits from empowering decision-makers who are non-compliant with local bureaucracy. For innovators, freedoms enhance flexibility and creativity. However, granting such freedom also reinforces value clashes on campuses and tends to intensify feelings of guilt and shame in regard to actions which show a disrespect of authority and tradition. While both (...) legacy-holders and innovators endeavour to redefine their practices and norms in their teaching, they appear to still struggle to shed their predispositions to a paternalistic and colonial philosophy of education. Presumably curative, their engagement with international networks of scholarship exposes their particular positions of vulnerabilities to that end. Both groups continue to push patriotism and cultural idiosyncrasy in order to hedge their power and status in the global marketplace of ideas. As in the past, a discourse of anti-westernization prevails, shoring up legacies of regulative thinking, indoctrination, and insularity. Progressive academics succeed primarily by taking bold steps to go above and beyond the dominant discourses and norms within their universities and policy-building communities. This article explicates why, in turn, a “surrogate academic freedom” tends to emerge as a conundrum across the post-Soviet higher education space. (shrink)

Academic integrity is a complex problem that challenges how we view action, intentions, research, and knowledge production as human agents working with computers. This paper proposes that a productive approach to support AI is found at the nexus of behavioural ethics and a view of hybrid app-human agency. The proposal brings together AI research in behavioural ethics and Rest’s four stages of ethical decision-making which tracks the development of moral sensitivity, moral judgement, moral motivation and finally moral action combined (...) with insights taken from Actor-Network Theory. This framework, bluntly named the Academic Integrity Model, positions AI as an effect of an entangled hybrid of human-technology actors moving through distinct but related steps towards ultimately mobilising ethical learning behaviours. This model highlights the importance of developing socio-techno responsibility in students and suggests that approaches to address academic integrity performances such as contract cheating, collusion and plagiarism should include considerations of the complex nature of app-centric students. (shrink)

Academic productivity is realized through resources obtained from professional networks in which scientists are embedded. Using a national survey of academic faculty in Science, Technology, Engineering, and Mathematics fields across multiple institution types, we examine how the structure of professional networks affects scholarly productivity and how those effects may differ by race, ethnicity, and gender. We find that network size masks important differences in composition. Using negative binomial regression, we find that both the size and composition of (...) professional networks affect scientific productivity, but bigger is not always better. We find that instrumental networks increase scholarly productivity, while advice networks reduce it. There are important interactive effects that are masked by modeling only direct effects. We find that white men are especially advantaged by instrumental networks, and women are especially advantaged by advice networks. (shrink)

Educational research as an academic field can be understood as a network or group of networks and, therefore, to consist of interconnected nodes that structure the way the field operates and understands its purpose. This paper deals with the nature of the induction of postgraduate students into the network of educational research that takes place through research methods courses, the textual domain, the professional and social practices involved in collaboration, conferences and publication. The consideration of this in (...) the light of Gilles Deleuze and Félix Guattari's (1988) writings on smooth and striated space problematises the notion of flows provided by Manuel Castells' (1996) understanding of networks and, by resisting the dualist simplification in terms of which the field is often discussed, offers an alternative account of how the nature of thought and practice governs the route between nodes in the network. This enables consideration of the nature of thought in relation to academic practice in educational research. (shrink)

The paper analyses issues related to supervision and support of early career researchers in Estonian academia. We use nine focus groups interviews conducted in 2015 with representatives of social sciences in order to identify early career researchers’ needs with respect to support, frustrations they may experience, and resources they may have for addressing them. Our crucial contribution is the identification of wider support networks of peers and colleagues that may compensate, partially or even fully, for failures of official supervision. On (...) the basis of our analysis we argue that support for early career researchers should take into account the resources they already possess but also recognise the importance of wider academic culture, including funding and employment patterns, and the roles of supervisors and senior researchers in ensuring successful functioning of support networks. Through analysing the conditions for the development of early career researchers – producers of knowledge – our paper contributes to social epistemology understood as analysis of specific forms of social organisation of knowledge production. (shrink)

Choice Outstanding Academic Title, 1996. In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networkscharts the immense progress made in recent years in many specific areas related to two great questions: How does the brain work? and How can we build intelligent machines? While many books have appeared on limited aspects of one subfield or another of brain theory and neural networks, (...) the Handbookcovers the entire sweep of topics—from detailed models of single neurons, analyses of a wide variety of biological neural networks, and connectionist studies of psychology and language, to mathematical analyses of a variety of abstract neural networks, and technological applications of adaptive, artificial neural networks. The excitement, and the frustration, of these topics is that they span such a broad range of disciplines including mathematics, statistical physics and chemistry, neurology and neurobiology, and computer science and electrical engineering as well as cognitive psychology, artificial intelligence, and philosophy. Thus, much effort has gone into making the Handbookaccessible to readers with varied backgrounds while still providing a clear view of much of the recent, specialized research in specific topics. The heart of the book, part III, comprises of 267 original articles by leaders in the various fields, arranged alphabetically by title. Parts I and II, written by the editor, are designed to help readers orient themselves to this vast range of material. Part I, Background, introduces several basic neural models, explains how the present study of brain theory and neural networks integrates brain theory, artificial intelligence, and cognitive psychology, and provides a tutorial on the concepts essential for understanding neural networks as dynamic, adaptive systems. Part II, Road Maps, provides entry into the many articles of part III through an introductory "Meta-Map" and twenty-three road maps, each of which tours all the Part III articles on the chosen theme. (shrink)

Choice Outstanding Academic Title, 1996. In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networks charts the immense progress made in recent years in many specific areas related to great questions: How does the brain work? How can we build intelligent machines? While many books discuss limited aspects of one subfield or another of brain theory and neural networks, the Handbook covers (...) the entire sweep of topics—from detailed models of single neurons, analyses of a wide variety of biological neural networks, and connectionist studies of psychology and language, to mathematical analyses of a variety of abstract neural networks, and technological applications of adaptive, artificial neural networks. Expository material makes the book accessible to readers with varied backgrounds while still offering a clear view of the recent, specialized research on specific topics. (shrink)

Although there have been many efforts in the last decade to reconcile the humanities and the information sciences, they have not radically changed the research standards prevailing in most humanistic departments. Against all appearances, the abrupt opening to quantitative methods in the digital humanities still has the character of a minority avant-garde movement. The article looks at the scientometric tradition, largely forgotten by the humanities, which may prove to be another interface bringing the two academic cultures back together. An (...) account of scientometric networks highlights the advantages and disadvantages of this orientation. The broader implications regarding the use of visual networks in the humanities are framed by the category of prostheticity, which aims to encapsulate their ambivalent status as both substitutes and cognitive enhancers. (shrink)

What is the difference between a researcher in philosophy and a philosopher? There are two kinds of answer that we can give to this question. We can say that the difference lies in a sort of internal quality; or, as the authors of this paper do, we can argue that a philosopher would not be a philosopher without the intervention of an ensemble of social actors such as universities, departments, funding, colleagues, editors, journals, media, and so on. In the first (...) section, referring to actor-network theory (ANT), the authors define the philosopher as a Leviathan, i.e. a macro-actor that became macro- not thanks to his/her essence, but because he/she succeeded in translating the interests of other actors. In the second section, it is introduced the notion of digital traces, and the homology between ANT and the image of the social reality we can obtain from a process of extraction, treatment, and (visual) restitution of digital traces. In particular, the authors stress the potential of a digital traces-based scientometric for studying actor-networks related to the academic world, but also its limit. In the third section, the specific case of the actor-networks related to philosopher Paul Ricoeur is considered. First, on the basis of a scientometric analysis of the digital traces contained in the bibliographic database Scopus, and secondly by extending the exploration to digital traces available on the Web via web mapping. In the conclusion, the authors affirm that the merit of their digital hermeneutics consists in bringing forward a «world of the text» which is probably less romantic, but certainly more authentic that the «world of the text» to which Ricoeur has often referred to. (shrink)

The topics of equity, diversity, inclusion, decolonization, and Indigenization have been neglected in academic and research integrity. In this article, I offer examples of how these issues are being addressed and argue that academic integrity networks and organizations ought to develop intentional strategies for equity, diversity and inclusion, and decolonization in terms of leadership, scholarship, and professional opportunities. I point out that existing systems perpetuate the conditions that allow for overrepresentation of reporting among particular student groups including international (...) students, students of colour, and those for whom English is an additional language. I conclude with concrete recommendations for action. (shrink)

This article maps a controversy in network science over the last 15 years, dividing the field about the epistemic status of a central notion, scale-freeness. The article accounts for the two main disputes, in 2005 and in 2018, as they unfolded in academic publications and on social media. This article analyzes the conflict, and the reasons why it reignited in 2018, to the surprise of many. It is argued that the concept of complex networks is shared by the (...) distinct subcultures of theorists and experimentalists; and that these subcultures have incompatible approaches to knowledge: nomothetic and idiographic. Following Galison, this article contends that network science is a trading zone where theorists and experimentalists can trade knowledge across the epistemic divide. (shrink)

The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence; and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper (...) reports on an open-source reimplementation of their algorithm in Python, optimized to be usable on much larger networks. In addition to the algorithm and package, we also show the ability to scale up our package to large synthetic social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of ‘echo chambers’ on online social media, as well as evidence of interdisciplinary diversity in an academic communications network. (shrink)

This article had its genesis in the joint paper we gave at the Scholarly Networks and the Emerging Platforms for Humanities Research and Publication Colloquium in April 2015. At that point, we were at the beginning of the Academic Book of the Future Project, which had been funded to run for two years from October 2014 by the UK’s Arts and Humanities Research Council and the British Library. As we write this contribution, the Project has just launched its two (...) final reports, a Project Report by Marilyn Deegan and a Policy Report by Michael Jubb. The Project was conceived of in response to widespread concerns about books, publishing, libraries and the academy. Declining monograph sales, rising serials prices, funding problems, rapidly-changing new technologies, shifting policy landscapes, increasing pressure on academics to do more with less, all contributed to a sense of unease about the health of the academic book in the arts and humanities, and indeed about the health of the disciplines themselves. The Project was run jointly by University College London and King’s College London, with consultancy support from the Research Information Network. It also drew on expertise from across a widespread community coalition of academics, publishers, intermediaries and policy makers. Some hundreds, if not thousands, of individuals have been involved, and many useful deliverables produced. The Project had, and continues to have, considerable impact, and some of its activities, for instance Academic Book Week, will continue for the foreseeable future. (shrink)

Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on (...) a dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%. (shrink)

In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The (...) evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy. (shrink)