NetSci 2017 will feature a number of plenary session speakers whose work is outstanding in the field of networks. Listed below are confirmed speakers as of 11/28/16. More speakers will be added.
Meeyoung Cha (KAIST)
Alex Fornito (Monash)
Lise Getoor (UC Santa Cruz)
César A. Hidalgo (MIT)
Shawndra Hill (Microsoft Research NYC & U Penn)
Maximilian Schich (UT Dallas Arts & Technology)
M. Ángeles Serrano (U Barcelona)
Roberta Sinatra (Central European Univ)
Xiaofan Wang (Shanghai Jiao Tong Univ)
Danielle S. Bassett
University of Pennsylvania
Danielle S. Bassett is the Eduardo D. Glandt Faculty Fellow and Associate Professor in the Department of Bioengineering at the University of Pennsylvania. She is most well-known for her work blending neural and systems engineering to identify fundamental mechanisms of cognition and disease in human brain networks. She received a B.S. in physics from the Pennsylvania State University and a Ph.D. in physics from the University of Cambridge, UK. Following a postdoctoral position at UC Santa Barbara, she was a Junior Research Fellow at the Sage Center for the Study of the Mind. In 2012, she was named American Psychological Association's `Rising Star' and given an Alumni Achievement Award from the Schreyer Honors College at Pennsylvania State University for extraordinary achievement under the age of 35. In 2014, she was named an Alfred P Sloan Research Fellow and received the MacArthur Fellow Genius Grant.
In 2015, she received the IEEE EMBS Early Academic Achievement Award, and was named an ONR Young Investigator. In 2016, she received an NSF CAREER award and was named one of Popular Science’s Brilliant 10. She is the founding director of the Penn Network Visualization Program, a combined undergraduate art internship and K-12 outreach program bridging network science and the visual arts. Her work has been supported by the National Science Foundation, the National Institutes of Health, the Army Research Office, the Army Research Laboratory, the Alfred P Sloan Foundation, the John D and Catherine T MacArthur Foundation, and the Office of Naval Research.
University of Kentucky
Steve Borgatti is a Professor and Paul Chellgren Endowed Chair at the University of Kentucky in the Management Dept. of the Gatton College of Business and Economics. His research is focused on social networks, particularly in the context of organizations. His primary research interest is social network analysis with additional interest in cultural domains and knowledge management. His dissertation was on regular equivalence.
He serves as an Associate Editor for the Journal of Supply Chain Management and also Computational and Mathematical Organizational Theory. He was a founding editor of Field Methods, and still sits on their editorial board. He was a Senior Editor at Organization Science, and sat on the editorial boards of Administrative Science Quarterly, Connections, Organization Science, Journal of Management and Sociological Methodology.
He was recently elected President of INSNA, the professional association for social network researchers. In the 1990's, while serving two terms as President of INSNA, INSNA was incorporated and the Sunbelt conference was brought under INSNA's umbrella. During that time, he also founded the SOCNET listserv. Previously he ran the NSF Summer Institute for Ethnographic Research Methods in Anthropology (founded by Russ Bernard and Bert Pelto).
Jennifer A. Dunne
Sante Fe Institute
Jennifer A. Dunne is Vice President for Science at the Santa Fe Institute, where she the faculty in 2007. She received an A.B. from Harvard in philosophy, an M.A. in biology from San Francisco State University, and a Ph.D. in Energy and Resources from UC Berkeley.
Jennifer’s research interests are in analysis, modeling and theory related to the organization, dynamics and function of ecosystems, with a focus on ecological networks. Using cross-system analysis and computational modeling, Jennifer seeks to identify fundamental patterns and principles of ecological network structure and dynamics at multiple spatial and temporal scales. Such research provides a useful framework for understanding ecological robustness and persistence, including how humans fit into and impact ancient, historic, and current ecosystems.
Her research has been covered in Scientific American, Wired, SmartPlanet, ScienceNow, and Nature News. She has served as an editor at the Journal of Complex Networks, Ecology Letters, and Oikos, is an Oxford Series in Ecology and Evolution editor, and is an advisor to the science and culture magazine Nautilus.
Meeyoung Cha is an associate professor at the Graduate School of Culture Technology in KAIST and a visiting professor at Facebook. Her research interests are in the analysis of large-scale online social networks with emphasis the spread of information, moods, and user influence. She received the best paper awards at ACM IMC 2007 for analyzing long-tail videos in YouTube and at ICWSM 2012 for studying social conventions in Twitter. Her research has been published in leading journals and conferences including PLoS One, Information Sciences, WWW, and ICWSM, and has been featured at the popular media outlets including the New York Times websites, Harvard Business Review’s research blog, the Washington Post, the New Scientist.
Alex Fornito completed a PhD in the Departments of Psychology and Psychiatry at the University of Melbourne, Australia, followed by Post-Doctoral training at the University of Cambridge, UK. He is currently an Associate Professor, Australian Research Council Future Fellow, and co-Director of the Brain and Mental Health Laboratory in the Monash Institute of Cognitive and Clinical Neurosciences. Alex’s research uses cognitive neuroscience, network science and graph theory to understand brain network organization in health and disease. In particular, he focuses on the development and application of new methods to understand how brain networks dynamically adapt to changing task demands, how they are disrupted by disease, and how they are shaped by genetic influences. Together with co-authors Andrew Zalesky and Ed Bullmore, he recently published the first text book on network analysis for neuroscience, entitled Fundamentals of Brain Network Analysis.
University of California Santa Cruz
Lise Getoor is a professor of computer science at the University of California, Santa Cruz. Her general interests are in machine learning, reasoning under uncertainty, databases and artificial intelligence. The theme of her research is building and using statistical models of structured, semi-structured and unstructured data to do useful things. She directs the LINQS group, dedicated to research in the area of statistical relational learning and link mining.
César A. Hidalgo
Massachusetts Institute of Technology
César A. Hidalgo leads the Macro Connections group at The MIT Media Lab and is also an Associate Professor of Media Arts and Sciences at MIT. Hidalgo's work focuses on collective learning. That is, the learning that takes place in teams, organizations, cities, and nations. In his lab he develops analytical tools to improve our understanding of how collective learning takes place, and also, he develops data visualization and analysis tools designed to improve the collective learning of organizations. Hidalgo's academic publications have been cited more than 7,500 times and his visualization engines have been viewed more than 100 million times. Hidalgo is the author of Why Information Grows (Basic Books, 2015), the co-author of The Atlas of Economic Complexity (MIT Press, 2014), and a co-founder of Datawheel LLC.
Microsoft Research NYC & University of Pennsylvania
Shawndra Hill is a Senior Researcher at Microsoft Research NYC . Before joining Microsoft, she was an Assistant Professor in the Operations and Information Management at the Wharton School of the University of Pennsylvania, where she is still an Annenberg Public Policy Center Distinguished Research Fellow, a Wharton Customer Analytics Initiative Senior Fellow, and a core member of the Penn Social Media and Health Innovation Lab. Generally, she researches the value to companies of mining data on consumers, including how consumers interact with each other on social media -- for targeted marketing, advertising, health and fraud detection purposes. Her current research focuses on the interactions between TV content and Social Media (www.thesocialtvlab.com). Dr. Hill holds a B.S. in Mathematics from Spelman College, a B.E.E. from the Georgia Institute of Technology and a Ph.D. in Information Systems from NYU's Stern School of Business.
UT Dallas Arts & Technology
Maximilian Schich is an associate professor for arts and technology at the University of Texas at Dallas and a founding member of the Edith O’Donnell Institute of Art History. His work converges hermeneutics, information visualization, computer science, and physics to understand art, history, and culture. His motivation is to harness and advance expertise in collaboration, to build and lead a group of researchers, to teach students, and to contribute within a team of teams. Maximilian is the first author of A Network Framework of Cultural History (Science Magazine, 2014) and a lead co-author of the animation Charting Culture (Nature video, 2014). He is an editorial advisor at Leonardo Journal, an editorial board member at Palgrave Communications (NPG), and the Journal for Digital Art History. He publishes in multiple disciplines and speaks to translate his ideas to diverse audiences across academia and industry. His work received global press coverage in 28 languages.
Springer Complexity Invited Talk
M. Ángeles Serrano
University of Barcelona
M. Ángeles Serrano obtained her Ph.D. in Physics at the Universitat de Barcelona (UB) in 1999 with a thesis about gravitational wave detection. In 2000, she also received her Masters in Mathematics for Finance at the CRM-Universitat Autònoma de Barcelona. After four years in the private sector as IT consultant and mutual funds manager, Prof. Serrano returned to academia in 2004 to work in the field of Network Science. Subsequently, she was a researcher at Indiana University (USA), the École Polytechnique Fédérale de Lausanne (Switzerland), IFISC Institute (Spain), and held a Ramón y Cajal research associate appointment at UB until October 2015. The results of her investigations are summarized in major peer reviewed international scientific journals - including Nature, PNAS, PRL, book chapters, and conference proceedings. Prof. Serrano leads and participates in several research projects at the international and national levels. She is also actively involved in advising and research supervision. She serves in evaluation panels and program scientific committees, and acts as a reviewer in several international journals. In February 2009, she obtained the Outstanding Referee award of the American Physical Society. She is a Founder Member of Complexitat, the Catalan Network for the study of Complex Systems, and Promoter Member of UBICS, the Universitat de Barcelona Institute of Complex Systems.
Central European University
Roberta Sinatra is Assistant Professor at the Center for Network Science and at the Math Department, Central European University (Hungary), and a Visiting Research Faculty at the Network Science Institute, Northeastern University (USA). She is a theoretical physicist by training, working at the forefront of network and data science, developing novel theoretical methods and analyzing empirical data sets on social phenomena and human behavior. Currently, she spends particular attention on the analysis and the modeling of information and dynamics that lead to the collective phenomenon of success. Roberta completed her studies in Physics at the University of Catania, Italy, and spent time as a visiting research student in Universities and Research centers in Zaragoza (Spain), London (UK), and Vienna (Austria). In 2012 she joined the Barabasilab in Boston, first as James McDonnell Postdoctoral fellow, then as Research Assistant Professor, leading the group working on Science of Success.
Shanghai Jiao Tong University
Xiaofan Wang received the Ph.D. degree from Southeast University, China in 1996. He has been a Professor in the Department of Automation, Shanghai Jiao Tong University (SJTU) since 2002, a Distinguished Professor of SJTU since 2008, and the deputy dean of Zhiyuan College of SJTU since 2010. He received the 2002 National Science Foundation for Distinguished Young Scholars of P. R. China, the 2005 Guillemin-Cauer Best Transactions Paper Award from the IEEE Circuits and Systems Society, the 2008 Distinguished Professor of the Chaing Jiang Scholars Program, and the 2015 Second Class Prize of the State Natural Science Award. His current research interests include analysis and control of complex dynamical networks. He is currently the Chair of the IFAC Technical Committee on Large-Scale Complex Systems and the Chair of the Chinese Technical Committee on Complex Networks and System Control.