Confirmed invited speakers
Lisa J. Bernt is a Visiting Scholar at Northeastern University School of Law and Project Director and Counsel of the non-profit Fair Employment Project in Cambridge, Massachusetts. Ms. Bernt graduated from Rutgers University (B.A. and the University of Michigan Law School (J.D.) and practiced law in Michigan and New Jersey before settling in Massachusetts. She has clerked on the New Jersey Supreme Court and served as Commission Counsel at the Massachusetts Commission Against Discrimination. She has published numerous articles on employment law and other topics in academic and practical journals.
Margaret Burnett is an OSU Distinguished Professor at Oregon State University. She began her career in industry, where she was the first woman software developer ever hired at Procter & Gamble Ivorydale. A few degrees and start-ups later, she joined academia, with a research focus on people who are engaged in some form of software development. She was the principal architect of the Forms/3 and FAR visual programming languages, and co-founded the area of end-user software engineering, which aims to improve software for computer users that are not trained in programming. She pioneered the use of information foraging theory in the domain of software debugging, and leads the team that created GenderMag, a software inspection process that uncovers gender inclusiveness issues in software from spreadsheets to programming environments. Burnett is an ACM Distinguished Scientist and a member of the ACM CHI Academy. She serves on several editorial boards and has served in over 50 conference organization and program committee roles. She is also on the Academic Alliance Advisory Board of the National Center for Women in IT (NCWIT).
Andrei Cimpian is Associate Professor of Psychology at New York University. One of his main areas of expertise is academic achievement and motivation. Among other topics, he has investigated gender stereotypes, people’s beliefs about ability and talent, and the influence of praise and criticism on children’s achievement. In a second line of work, Dr. Cimpian investigates children’s cognitive development. In particular, he has studied the development of children’s concepts and their ability to formulate explanations in order to make sense of the world. Dr. Cimpian’s research has been published in top journals such as Science and Behavioral and Brain Sciences. Media outlets such as The New York Times, The Atlantic, The Washington Post, NPR, and The Economist have covered his work.
Ágnes Horvát is an assistant professor at Northwestern University's School of Communciation. Her current research spans the areas of collective intelligence, crowdfunding, and the creative industries. Horvát’s work focuses on developing theory and methods for the study of complex networks at the intersection of computer science, physics, and social phenomena. Her interdisciplinary approach seeks to understand the behavior of connected crowds by building on techniques from network science, machine learning, statistics, and exploratory visualization. Before joining the School of Communication she was a post-doctoral researcher at the Northwestern Institute on Complex Systems (NICO). She earned a Ph.D. in Interdisciplinary Physics from Heidelberg University, Germany in 2013 and also holds a B.Sc. in Physics and Computer Science from the Babeș-Bolyai University, Romania and a B.A. in Photography, Film, and Media from the Sapientia University, Romania.
Brian C. Keegan is an assistant professor of information science at the University of Colorado Boulder. His computational social science research is at the intersection of human-computer interaction, network science, and data science and explores the structure and dynamics of large-scale online collaboration using socio-technical system log data. Brian is currently exploring the dynamics of naturalistic decision making, implicit biases, and shared mental models in the context of virtual team formation in online games like League of Legends and Dota 2. Brian was previously a research associate at the Harvard Business School and a post-doctoral research fellow in computational social science at Northeastern University.
Daniel Larremore is an Omidyar Fellow at the Santa Fe Institute. His research develops statistical and inferential methods for analyzing large-scale network data, and uses those methods to solve applied problems in diverse domains, including public health and academic labor markets. Prior to joining the Santa Fe Institute he was a post-doctoral fellow at the Harvard T.H. Chan School of Public Health 2012-2015. He obtained his Ph.D. in Applied Mathematics from the University of Colorado at Boulder in 2012, and holds a degree from Washington University in St. Louis.
Mark Lutter is currently head of a Max Planck Research Group on the sociology of diffusion at the Max Planck Institute for the Study of Societies, Cologne. He studied sociology, psychology, and statistics and was a doctoral student at the International Max Planck Research School on the Social and Political Constitution of the Economy. He received his Doctorate from University of Duisburg-Essen, his Habilitation from University of Cologne, and has held visiting fellowships at Harvard University, Science-Po Paris, and ETH Zurich.
Amanda Menking is a Ph.D. candidate at the University of Washington’s Information School. She is interested in questions at the intersections of peer production, non-majority participation, systemic bias, and knowledge production. Her current work focuses on women and Wikipedia. Her research draws from and is in conversation with feminist HCI, digital ethnography, and social computing. Amanda also holds an MA in English and a BA in Art and English. Prior to pursuing a PhD, she taught high school in Washington state and Namibia, and worked in the software industry in Seattle, Washington.
Piotr Sapiezynski is a postdoctoral researcher at the Algorithmic Auditing Research Group at Northeastern University. His doctoral work at Technical University of Denmark revolved around the Copenhagen Networks Study, in which 1000 freshmen equipped with smartphones collected their mobility and social interaction data over two years. Piotr’s thesis on extracting meaningful network information from raw sensor laid the ground work for his current research on ties, team performance, and the role of gender in social network organization.
Sarah Shugars is a doctoral student at Northeastern University's Network Science Institute where her research focuses on political deliberation and equity. She received her BA cum laude in Physics from Clark University and her MA in Integrated Marketing Communications from Emerson College. For nearly a decade she worked at Tufts University's Tisch College of Civic Life and she attended Tisch College’s Summer Institute of Civic Studies in 2013. Currently, she serves as an assistant editor for the Good Society: The Journal of Civic Studies and as a member of the Civic Games Committee. As a field, Civic Studies is dedicated to the question, "what should we do?" Asking explicitly what we - you and I - should do to improve the world around us. This is the driving question of her work, scholarship, and activism. In her non-academic time, Sarah serves on the boards of a local immigrant advocacy organization and a non-profit children's circus.
Bogdan Vasilescu is an assistant professor at Carnegie Mellon University's School of Computer Science. He is engaged in interdisciplinary research at the intersection of software engineering and social computing. Bogdan explores large-scale software-related data using a mixture of quantitative and qualitative methods, to develop and validate theories about the processes involved in software engineering and computer-supported collaborative work. For example, he has recently been exploring questions about diversity and productivity in social coding environments like GitHub. Prior to joining CMU, Bogdan was a postdoctoral researcher at University of California, Davis. He received his PhD and MSc in Computer Science at Eindhoven University of Technology, both with cum laude distinction.
Claudia Wagner is an assistant professor in Computer Science at University Koblenz-Landau and the head of the Data Science team at GESIS – Leibniz Institute for the Social Sciences. Prior to that she worked as a researcher at JOANNEUM RESEARCH in Graz and conducted several international research internships, amongst others at HP labs and Xerox PARC. She was awarded with a DOC-fFORTE fellowship from the Austrian Academy of Science for her PhD which she received from Graz University of Technology. Her research focuses on computational methods for analyzing and modelling social phenomena (such as culture, inequality and discrimination) with digital trace data. She is in general interested in socio-technical systems, how human use these systems and how algorithms impact them.