The Digging into Data challenge, administered by the Office of Digital Humanities at the National Endowment for the Humanities, is a unique funding opportunity that combines resources from eight funding agencies in four countries to support international research teams. This Digging into Data research is funded by the National Science Foundation in the United States, SSHRC in Canada and JISC in the United Kingdom. The team for each country is led by a Principal Investigator for that country: Cassidy Sugimoto (US), Vincent Lariviere (Canada), and Mike Thelwall (UK). Co-PIs, post-doctoral researchers, and Student Emissaries complete the teams.
Ying Ding is an Associate Professor at the Department of Information and Library Science, School of Informatics and Computing, Indiana University. Before she worked as a senior researcher at the University of Innsbruck, Austria and as a researcher at the Free University of Amsterdam, the Netherlands. She has been involved in various NIH and European-Union funded Semantic Web projects. She has published 150+ papers in journals, conferences and workshops. She serves as a Program Committee member for 120+ international conferences and workshops. She is the coeditor of book series called Semantic Web Synthesis by Morgan & Claypool publisher. She is co-author of the book "Intelligent Information Integration in B2B Electronic Commerce" published by Kluwer Academic Publishers. She is also co-author of book chapters in the book "Spinning the Semantic Web" published by MIT Press and "Towards the Semantic Web: Ontology-driven Knowledge Management" published by Wiley. She is the editoral board member of four ISI indexed top journals in Information Science and Semantic Web. Her current interest areas include social network analysis, Semantic Web, citation analysis, knowledge management and application of Web Technology.
Stefanie Haustein is a post-doctoral researcher at Université de Montréal and a research analyst at Science-Metrix in Montréal, Canada. Her research focuses on bibliometrics and altmetrics, i.e. social-media based usage data, to evaluate scholarly communication. Stefanie holds a PhD in information science from Heinrich Heine University Düsseldorf, Germany and has worked in the bibliometrics team at Forschungszentrum Jülich, Germany, where she has conducted several bibliometric analyses supporting decisions in research evaluation. Her doctoral work focused on the multidimensional evaluation of scholarly journals and was awarded the Eugene Garfield doctoral dissertation scholarship in 2011. Stefanie frequently presents her work at international conferences and has published in journals such as Scientometrics and Journal of Informetrics.
Kim Holmberg, PhD, is a Research Associate at the Statistical Cybermetrics Research Group at University of Wolverhampton and a Research Fellow at the Department of Information Studies at Åbo Akademi University. His research interests include webometrics, scientometrics, information dissemination, social media, Web 2.0, Library 2.0 and virtual worlds in education. Of these topics he has published widely and held several talks and presentations and organized courses and workshops for companies, universities, libraries and other organizations.
Vincent Larivière is assistant professor of information science at the Université de Montréal, where he teaches research methods and bibliometrics. He is also an associate researcher at the Observatoire des sciences et des technologies and a regular member of the Centre interuniversitaire de recherche sur la science et la technologie. His work in the area scholarly communication has been published in journals such as the Journal of the American Society for Information Science and Technology, Scientometrics and Journal of Informetrics. Vincent holds a B.A. in Science, Technology and Society (UQAM), an M.A. in history of science (UQAM) and a Ph.D. in information science (McGill), and has performed postdoctoral work at Indiana University’s Department of Information and Library Science, School of Informatics and Computing.
Staša Milojević is an Assistant Professor at Indiana University’s Department of Information and Library Science, School of Informatics and Computing. Staša received her PhD from the Department of Information Studies at the University of California, Los Angeles. Her research focuses on studying how modern scientific disciplines/fields form, organize and develop. She approaches modern scientific fields/disciplines as complex heterogeneous socio-cultural networks of people, ideas, documents and institutions. In large-scale longitudinal studies of different scientific fields she combines models, theories and methods from information science, science and technology studies, and social network analysis. She has published in the areas of scientometrics and network science and has explored ways in which techniques from network science and scientometrics can be combined for more comprehensive studies of science.
Cassidy R. Sugimoto is an assistant professor at Indiana University Bloomington. She earned her bachelor’s, master’s and doctoral degrees from the University of North Carolina at Chapel Hill. Her work has appeared in a dozen journals, most notably in the Journal of the American Society for Information Science and Technology and Scientometrics, on whose editorial boards she serves. She is active in the American Society for Information Science & Technology, having been elected to the Board of Directors as well as chairing and serving on multiple special interest groups and chapters. Her research has been funded intra-murally as well as by professional associations (ALISE, ASIS&T) and national agencies (e.g., NSF).
Mike Thelwall is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, UK and a research associate at the Oxford Internet Institute. Mike has developed tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, blogs and the general web. His publications include 152 refereed journal articles, seven book chapters and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the American Society for Information Science and Technology and sits on three other editorial boards.
I'm a Ph.D. candidate with broad research interests in the areas of social informatics, digital humanities, scholarly communication, bibliometrics, HCI, information architecture, web programming, and web design. My work includes various aspects of "big data" research, digital humanities research and tool building, and frame anaylsis and affordance use within online social network sites.
I'm a Ph.D. student whose interests include epistemic, social, and cultural differences among disciplines in scholarly discourse; communication ecologies and the impact of new, computer-mediated, and multimodal genres on publishing and conferencing; and combining manual and computational methods for the study of online discourse, especially as it relates to gender.
My general research interest mainly lies in Data Analytics, Data Visualization, Computational Social Science, Network Analysis,Scholarly Communication, Science Studies, Data Mining, and Information Retrieval. More specifically, I am interested in using computational techniques, statistical approaches and visualization techniques for the processing, analysis and interpretation of massive longitudinal and heterogeneous data, to answer research questions in social science at the current era of Big Data. At present, I am concentrating on my dissertation that explores the impact of mentorship on protégés’ scholarly practice, focusing on whether the scholarly practices (concerning publication, citation, collaboration and grant) of doctoral advisers translate to similar practices of their acolytes, by examining and modeling the assortative mixing patterns in academic genealogy network, predicting protégé performance, and comparing across various disciplines, based on heterogeneous network data sources, e.g. ProQuest Dissertation & Theses, Web of Science, grant (NSF, NIH, & NEH), and USPTO data.
Scott B. Weingart studies information science and history of science at Indiana University. Phrases which frequently co-occur with his name after analyzing his twitter feed are: networks, republic of letters, digital humanities, historiography, text analysis, scientometrics, simulations, collaboration, and juggling.
I'm a Ph.D. candidate at Indiana University studying social informatics, digital humanities, textual studies, bibliometrics, and the relationship between projects, objects, and disciplines. My dissertation focuses on this relationship in current and former medieval studies DH projects. In my day job I'm a systems analyst and cat herder.
Andrew Tsou is currently an MLS candidate at IU Bloomington. His research interests include scientometrics and the field of computer-mediated communication.