Jiawei Han is Abel Bliss Professor in Engineering, in the Department of Computer Science at the University of Illinois. He has been researching into data mining, information network analysis, and database systems, with over 600 publications. He served as the founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data (TKDD) and on the editorial boards of several other journals. Jiawei has received IBM Faculty Awards, HP Innovation Awards, ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical Achievement Award (2005), IEEE Computer Society W. Wallace McDowell Award (2009), and Daniel C. Drucker Eminent Faculty Award at UIUC (2011). He is a Fellow of ACM and a Fellow of IEEE. He is currently the Director of Information Network Academic Research Center (INARC) supported by the Network Science-Collaborative Technology Alliance (NS-CTA) program of U.S. Army Research Lab. His book “Data Mining: Concepts and Techniques” (Morgan Kaufmann) has been used worldwide as a textbook.
Andrea B. Hollingshead (Ph.D., University of Illinois at Urbana-Champaign) is Professor of Communication in the Annenberg School of Communication and Journalism at the University of Southern California (USC). She holds joint appointments in the USC Marshall School of Business and the Department of Psychology. Her research focuses on the factors and processes that lead to effective and ineffective knowledge sharing in groups. She has been a co- investigator on projects funded by the National Science Foundation. She has co-authored three books, Research Methods for Studying Groups and Teams, Theories of Small Groups: Interdisciplinary Perspectives, and Groups Interacting with Technology and has published many articles in communication, management, and psychology journals.
Yun Huang is a research associate in the Science of Networks in Communities (SONIC) research group in the department of Industrial Engineering and Management Sciences at Northwestern University. His research explores the dynamic and evolution of individual behavior and interactions in digital-enabled environments such as scientific collaboration, online communities, and virtual worlds using data mining, social network analysis, and economics approaches. He holds a doctorate in management science and information systems from McCombs School of Business at the University of Texas at Austin and bachelor’s and master’s degrees in computer science from Tsinghua University.
Steve W. J. Kozlowski, Ph.D.,professor of organizational psychology, Michigan State University. Research focuses on learning, team effectiveness, and multilevel theory. He is Editor of the Journal of Applied Psychology and Oxford Series in Organizational Psychology; Associate Editor of the Archives of Scientific Psychology. He serves on Editorial Boards of the Journal of Management and Oxford Research Reviews and previously on the Academy of Management Journal, Human Factors, the Journal of Applied Psychology, and Organizational Behavior and Human Decision Processes. Fellow: American Psychological Association, Association for Psychological Science, International Association for Applied Psychology, and Society for Industrial and Organizational Psychology.
Giuseppe (Joe) Labianca (Ph.D., Business Administration, Penn State) is a Gatton Endowed Professor of Management at the University of Kentucky’s Gatton College of Business and Economics and a co-founder of the LINKS Social Network Research Center (linkscenter.org). Joe’s research involves understanding behavior in organizations from a social network perspective, including informal network approaches to organization design, innovation and collaboration, interpersonal conflict, and teamwork. His work has appeared in Science, Harvard Business Review, the Academy of Management Journal, the Academy of Management Review, Organization Science, Strategic Organization, and elsewhere. He teaches organization and management, organization theory and design, conflict and negotiations, organizational behavior, human resources management, and organizational change management. He recently won the University of Kentucky Alumni Association’s Great Teacher Award.
Roger Leenders is professor of Intra-Organizational Networks at Tilburg University in The Netherlands. His research focuses mainly on social networks in and of teams and how they affect (or are affected by) team-level creativity and innovation. He also studies effects of inter-team competition on team processes and team performance. Current work includes a focus on the antecedents of team-level risk-taking and work on relational event networks, where network interaction in continuous time is modeled.
Paul Leonardi (Ph.D., Stanford University) is the Pentair-Nugent Associate Professor at Northwestern University. He teaches courses on the management of innovation and organizational change in the School of Communication, the McCormick School of Engineering, and the Kellogg School of Management. Leonardi’s research focuses on how companies can create organizational structures and employ advanced information technologies to more effectively create and share knowledge. He is particularly interested in how data intensive technologies, such as simulation and social media tools, enable new ways to access, store, and share information; how the new sources of information these technologies provide can change work routines and communication partners; and how shifts in employees’ work and communication alter the nature of an organization’s expertise.
Alina Lungeanu is a PhD candidate in Technology and Social Behavior at Northwestern University. Her research examines the assembly of scientific teams and the role of scientific collaborations in the emergence and evolution of new scientific fields. She is a member of the Science of Networks in Communities (SONIC) Research Laboratory where she has performed extensive analyses comparing the assembly of funded and unfunded NSF proposals teams and capturing the mechanisms by which the sub-discipline of Oncofertility has emerged and was shaped by the NIH funded Interdisciplinary Research Consortium. In her work, Alina applies social networks concepts and methodological tools, as well as theories and concepts from the wider field of social science.
Michael Macy is Goldwin Smith Professor of Sociology and director of the Social Dynamics Laboratory at Cornell University. His recent research uses data from Twitter to track diurnal and seasonal mood changes; telephone call logs to measure network structure at the population level; and Amazon book reviews to determine whether reviewers are influenced by previous reviews. He has also used computational models to study the spread of high- threshold social contagions on small-world and scale- free networks. Macy’s research has been published in such leading journals as Science, Proceedings of the National Academy of Sciences, the American Journal of Sociology, the American Sociological Review, and the Annual Review of Sociology. He earned his PhD from Harvard University.
John Mathieu is a Professor of Management at the University of Connecticut, and holds the Cizik Chair in Management at UConn. His primary areas of interest include models of team and multi-team effectiveness, leadership, training effectiveness, and cross-level models of organizational behavior. He has over 100 publications, 200 presentations at national and international conferences, and has been a PI or Co-PI on over $8.5M in grants and contracts. He is a Fellow of the APA, SIOP, and the Academy of Management. He serves on numerous prestigious editorial boards and holds a Ph.D. in Industrial/Organizational Psychology from Old Dominion University.
Luke Matthews is Activate Networks’ Senior Scientific Director. His responsibilities include the ongoing development and application of Activate Networks algorithms. He received his doctorate in anthropology from New York University and was a Postdoctoral Fellow at Harvard University. Luke first studied social networks among capuchin monkeys in the Ecuadorian Amazon. He subsequently studied networks in systems ranging from ancient human migrations to contemporaneous Christian groups before bringing his experience to the applied social network analysis of ANI. Luke’s research has been featured in New Scientist, The Washington Post, The New York Times, and other venues. In addition to his scientific work at Activate, he continues to speak at academic conferences, publish papers, and serves as an independent reviewer of grant and article submissions for leading funding organizations and academic journals.
Sanjay Mehrotra is a Professor of Industrial Engineering and Management Sciences at McCormick School of Engineering at Northwestern University and the director of IPHAM’s Center for Engineering and Health. Professor Mehrotra is an Optimization and Healthcare Engineering expert. Mehrotra is internationally known for his predictor-corrector method and his contribution to continuous, discrete, and stochastic optimization methodologies. He is the incoming department editor of Health section of the Institute of Industrial Engineering society journal IIE-Transactions. He is the current chair of Institute for Operations Research and Management Science’s (INFORMS) Optimization Society and he was the general chair of INFORMS Healthcare 2013 conference.
Peter Monge is Professor of Communication at the Annenberg School for Communication and Journalism and Professor of Management and Organization at the Marshall School of Business, University of Southern California. He is also the Director of the Annenberg Networks Network, a research center focused on communication network theory and research. He has published five books, the most recent of which is Theories of Communication Networks (with Noshir Contractor). He has published theoretical and research articles on organizational communication networks, evolutionary and ecological theory, collaborative information systems, globalization, and research methods. He is an elected Fellow and a former president of the International Communication Association (ICA, 1997-1998). He has received the ICA Steven H. Chaffee Career Productivity Award and the B. Aubrey Fisher Mentorship Award, where eight of his doctoral advisees have won dissertation awards. He is a Distinguished Scholar of the National Communication Association. From 1986 to 1993 he served as editor of Communication Research.
Satyam Mukherjee obtained his PhD degree in Physics from Indian Institute of Technology Madras, India in the year 2009. The broad area of research of his doctoral work involved the analysis of congestion and decongestion phenomena in model communication networks. Between Feb 2010 and January 2012 he worked in the Amaral lab as a post-doctoral fellow. As a postdoc in Amaral lab he worked on various topics, which included visualization of online weight-loss friendship network, analysis of the Internet Movie Database (IMDb) and political prediction markets. Since Feb 2012 He has been working as a post doctoral fellow with Prof. Brian Uzzi in Kellogg School of Management. His research interests include physics of social networks, complex systems and sports statistics.
Toshio Murase is a post-doctoral fellow at Georgia Institute of Technology. Dr. Murase has been fascinated about collaborative power which enables people to achieve marvelous projects which no one can accomplish alone. His research areas include the following areas: teams, leadership, social networks, and measurement issues. Specifically, he is interested in investigating (a) how leaders across multiple levels of an organization manage complex collaboration systems, (b) how multiple teams can collaboratively achieve team-level and department/organization-level objectives, and (c) how effectively researchers can evaluate and measure the quality of collaborative and interactive processes. Dr. Murase’s research has appeared in the following journals: Journal of Management, The Leadership Quarterly, Group Dynamics: Theory, Research, & Practice, Educational and Psychological Measurement, and Industrial and Organizational Psychology: Perspectives on Science and Practice.