|Rich Bonneau is Professor of Biology and Computer Science at NYU. Professor Bonneau’s laboratory is focused on two areas in computational and systems biology: 1) Predicting and designing protein and peptidomimetic structure and 2) Learning dynamic network models automatically from functional genomics data using scalable methods.
In both research areas Professor Bonneau has played key roles in achieving critical field-wide milestones. In the area of structure prediction he was one of the early authors on the Rosetta code, which was one of the first codes to demonstrate accurate and comprehensive ability to predict protein structure in the absence of detectable sequence homology to proteins with known structures. His lab continues to be a core contributor to the Rosetta research community, participating in the recent refactoring of the code and adding several new functionalities.
Professor Bonneau’s lab has also made key contributions to the area of genomics data analysis in a systems-biology context. His lab focuses on developing new methods for network inference that simultaneously learn dynamics and topology from data (the Inferelator), and methods that learn condition-dependent co-regulated gene groups from integrations of different genomics data- types (e.g. transcriptomic, proteomic, etc.) using approaches we have developed (cMonkey and multi-species-cMonkey integrative biclustering). In the DREAM3 and DREAM4 blind assessment of network inference methods they were top performers in the network inference category, and are currently contributing to a joint paper resulting from DREAM5 (the most current assessment of network inference methods).
|John T. Jost is Professor of Psychology and Politics and Co-Director of the Center for Social and Political Behavior at New York University. His research, which addresses stereotyping, prejudice, political ideology, and system justification theory, has been funded by the National Science Foundation and has appeared in top scientific journals and received national and international media attention. He has published over 150 journal articles and book chapters and four co-edited book volumes, including Social and Psychological Bases of Ideology and System Justification (Oxford, 2009). He has received numerous honors and awards, including the Gordon Allport Intergroup Relations Prize, Erik Erikson Award for Early Career Research Achievement in Political Psychology, International Society for Self and Identity Early Career Award, Society for Personality and Social Psychology Theoretical Innovation Prize, Society of Experimental Social Psychology Career Trajectory Award, and the Morton Deutsch Award for Distinguished Scholarly and Practical Contributions to Social Justice. He has served on several editorial boards and executive committees of professional societies and is currently editor of the Oxford University Press book series on Political Psychology. He is a Fellow of the Society of Experimental Social Psychology and the Association of Psychological Science.|
|Jonathan Nagler is Professor of Politics at New York University. He received his AB in government from Harvard University in 1982, and his Ph.D. from Caltech in 1989. He has been a visiting associate professor at Caltech and Harvard, and has taught at the Summer Program, European Consortium for Political Research, Essex University, England, and the Summer Program, Inter-university Consortium for Political and Social Research, University of Michigan, as well as the ESRC Oxford Spring School in Quantitative Methods for Social Research. In 2012 Professor Nagler was a Fernand Braudel Fellow at the European University Institute. Professor Nagler’s research focuses on voting and elections.
Professor Nagler published a series of articles, co-authored with R. Michael Alvarez, on multiple-candidate elections that have examined the relative importance of issues and the state of the economy to voters. Professor Nagler’s work on strategic voting in British elections (with R. Michael Alvarez) won the 1998 Durr award. Over the last 18 years he has also published a series of papers with Jan E. Leighley on the factors influencing voter turnout in the United States. They have just completed a book on voter turnout in the United States from 1972 to 2008. Professor Nagler has also published articles on the voting behavior of Latinos and women.
Professor Nagler is currently working on the impact of economic conditions on voting in presidential elections, and the impact of California’s Top 2 Election law.
Professor Nagler’s work has been supported by several grants from the National Science Foundation. In addition to his research, he established the world wide web site of the Political Methodology Section of the American Political Science Association, and served as president of the association from 2001-2003. Professor Nagler is a former editor of The Political Methodologist. An estimator he developed for the study of voter turnout, Scobit, is incorporated in the STATA statistical package. He is an Inaugural Fellow of the Society for Political methodology.
Professor Nagler has served as an expert witness on court casees on primary reform and election law, and has consulted for presidential campaigns and media surveys. Nagler has appeared as a guest or been interviewed on CNN, MTV, and Fox-News, as well as National Public Radio.
|Joshua A. Tucker is Professor of Politics, an affiliated Professor of Russian and Slavic Studies, and an affiliated Professor of Data Science at New York University. He is the Director of NYU’s Jordan Center for Advanced Study of Russia, one of the co-founders and co-Directors of the NYU Social Media and Political Participation (SMaPP) laboratory, the Director of SMaPP-Global, an international collection of scholars working on the study of social media and politics, and a co-author/editor of the award winning Monkey Cage blog at The Washington Post.
Professor Tucker specializes in comparative politics with an emphasis on mass political behavior in East-Central Europe and the former Soviet Union, including elections and voting, the development of partisan attachment, public opinion formation, and mass protest, as well as the use of social media in facilitating all forms of political participation. Through his work at the SMaPP lab, Professor Tucker has been at the forefront of efforts to explore the effects of social media on political participation and politics, as well as developing methods for utilizing social media data to study politics in new ways. He is a co-author of the recently published Communism’s Shadow: Historical Legacies and Contemporary Political Attitudes (Princeton University Press, 2017), and the author of Regional Economic Voting: Russia, Poland, Hungary, Slovakia, and the Czech Republic, 1990-99 (Cambridge University Press, 2006). His work has appeared in over two-dozen academic journals, including the American Journal of Political Science, the British Journal of Politics, Comparative Politics, Comparative Political Studies, Electoral Studies, the Journal of Politics, Political Analysis, Post-Soviet Affairs, Proceedings of the National Academy of Sciences, and the Annual Review of Political Science, and his opinions have been published in the International Herald Tribune, The New Republic, The Wall Street Journal, Time Magazine, and Al Jazeera English.
In 2006, he was awarded the Emerging Scholar Award for the top scholar in the field of Elections, Public Opinion, and Voting Behavior within 10 years of the doctorate.
Graduate Research Associates
|Sean is a Ph.D. student at the Wilf Family Department of Politics, New York University. His studies focus on political behavior and party politics, particularly as they relate to far right parties in Europe. He holds bachelor’s degrees in History and Political Science from the University of Maryland, College Park and a Master of Public Administration degree from the Harvard Kennedy School.|
|Kevin Munger is a 5th year PhD Candidate in Politics. His research analyses the way that new media technologies have changed elite political communication and mass political behavior in the US by dramatically lowering barriers to entry and going around traditional gatekeepers, not always for the better.|
|Sergey Sanovich is a Ph.D. student in the Wilf Family Department of Politics at NYU. He studies institutions and policies that enable authoritarian regimes to stay in power. Specifically he is interested how governments manage potential threats from organised opposition through election fraud as well as formal electoral rules manipulation. In the SMaPP lab he studies tools employed to counter opposition activity in social media. Sergey holds Bachelor in Economics and Masters in Public Policy from Higher School of Economics (Moscow) and Masters in Social Sciences from the University of Chicago.|
|Alexandra Siegel is a PhD student in the Department of Politics at NYU. Her research uses social media data, social network analysis, and textual analysis to explore mass political behavior in the Arab World. Prior to starting graduate school, Alexandra was a Junior Fellow in the Middle East Program at the Carnegie Endowment for International Peace and a CASA Fellow at the American University in Cairo. She holds a Bachelors in International Relations and Arabic from Tufts University.|
|Melanie Langer received a B.S. in Psychology with a focus on Philosophy from Yale University and an M.A. in French Cultural Studies from Columbia University. She is currently a doctoral student in Social Psychology at New York University. She is interested in values, beliefs, and preferences, how ideology motivates positions on particular issues and behaviors, and the mechanisms by which people’s attachment and resistance to certain attitudes and behaviors are altered.|
|Denis Stukal is a PhD Candidate in the Department of Politics at NYU. He is doing research in the fields of Comparative Politics and Political Methodology. His primary focus is the use of machine learning techniques to study political misinformation in post-communist countries (especially, in Russia).|
|William is a Ph.D. candidate in the department of psychology. He studies how moral and political ideas spread in social networks, and also how digital environments shape the expression of moral emotions.|
|Ye is a Ph.D. student at the Wilf Family Department of Politics, New York University. He studies political methodology and public opinion in non-democratic countries, with a special focus on China. He holds a bachelor’s degree in Math from Fudan University and a master degree in Economics from Peking University.|
|Jan Zilinsky is a PhD student in the Department of Politics at NYU. His research focuses on media consumption, learning, and political behavior.|
|Megan Brown is an undergraduate (C/O 2019) in New York University College of Arts and Sciences studying politics, mathematics, and computer science. She is particularly interested in how technology contributes to “disruptive innovation” in the political sphere and how big data can give insight to mass political movements.|
|Nicolas Kugel is an undergraduate studying politics and history at New York University’s College of Arts and Sciences. His primary area of inquiry has been the development and impact of far-right communities online, and the way it manifests itself on social media platforms such as Reddit and Twitter.|
|Andreu Casas is a Moore-Sloan Research Fellow at SMaPP and the Center for Data Science at New York University. His research interests encompass the areas of political communication, public policy processes, and computational social science. He is particularly interested in how social movements and interest groups influence the political agenda and the decision making process in the current media environment. His methodological interests and strengths are natural language processing (text as data), computer vision (images as data), and machine learning and artificial intelligence in general. His research has been published in the Annual Review of Political Science, American Politics Research, and Revista Espanola de Investigaciones Sociologicas.|
|Gregory Eady is a post-doctoral fellow at SMaPP. His primary interests lie in the development of statistical methods for the measurement of political attitudes and behaviors, and their application to large-scale social media and elections data.|
Data Scientists and Research Engineers
|Leon Yin builds human-centric tools to explore data. He is interested in employing state-of-the-art computer vision and NLP techniques to study media manipulation. Currently he’s working on search engines, mis/disinformation campaigns, and astroturfing. Previously he built data pipelines for Sony and NASA. For more PII, click here!|
|Nicole Baram is a data scientist and research engineer at SMaPP. She is especially interested in how privacy functions in the Age of the Internet. Previously, she worked as a software engineer for The New York Times.|
|Adam Berinsky is a Professor of Political Science at MIT and serves as the director of the MIT Political Experiments Research Lab (PERL). Berinsky received his PhD. from the University of Michigan in 2000. He is the author of In Time of War: Understanding American Public Opinion from World War II to Iraq (University of Chicago Press, 2009). He is also the author of Silent Voices: Public Opinion and Political Participation in America (Princeton University Press, 2004) and has published articles in The American Journal of Political Science, The Journal of Politics, Political Behavior, Political Psychology, Public Opinion Quarterly, The Quarterly Journal of Political Science, American Politics Research, and Communist and Post-Communist Studies. He is the recipient of grants from the National Science Foundation and was a fellow at the Center for Advanced Study in the Behavioral Sciences.|
|Sandra González-Bailón is an Assistant Professor at the Annenberg School for Communication and affiliated faculty at the Warren Center for Network and Data Sciences at the University of Pennsylvania. Prior to joining Penn, she was a Research Fellow at the Oxford Internet Institute (2008-2013), where she is now a Research Associate. She completed her doctoral degree in Nuffield College (University of Oxford) and her undergraduate studies at the University of Barcelona. Sandra’s research lies at the intersection of network science, data mining, computational tools, and political communication. She is currently working on the book Decoding the Social World. When Data Science meets Communication (forthcoming with MIT Press) and co-editing The Oxford Handbook of Communication in the Networked Age (with Brooke Foucault-Welles, forthcoming with Oxford University Press). More information about her research and publications can be found at her group’s website <dimenet.asc.upenn.edu>.|
|Marko Klasnja is a post-doctoral fellow at the Center for the Study of Democratic Politics at Princeton University. His research mainly centers on the political economy of accountability in developing democracies. To examine the factors that hinder or promote the electoral sanctioning of corrupt politicians, Marko uses a variety approaches, including game-theoretic models, survey and natural experiments, and the analysis of large datasets (e.g. politicians’ wealth declarations and a large volume of public procurement contracts to measure corruption more precisely). He is also interested in the issues of political representativeness of social media data.|
|Cristian Vaccari is Reader in Politics at Royal Holloway, University of London and Associate Professor in Political Science at the University of Bologna. He studies political communication in comparative perspective, with a particular focus on digital media and is the Principal Investigator of a three-year research project titled “Building Inclusive Societies and a Global Europe Online: Political Information and Participation on Social Media in Comparative Perspective” (http://www.webpoleu.net/) that the Italian Ministry of Education has awarded more than 900,000 Euros in funds. The project investigates the role of social media in citizens’ and politicians’ practices of political communication in Germany, Italy, and the United Kingdom from 2013 until 2016. His latest book is Digital Politics in Western Democracies: A Comparative Study (Johns Hopkins University Press, 2013). He tweets as @25lettori.|
|Pablo Barberá is an Assistant Professor at the School of International Relations at the University of Southern California. He received his PhD in Political Science from New York University in 2015. His primary areas of research include social media and politics, quantitative methods, and electoral behavior and political representation. For more information and recent publications, check his website: www.pablobarbera.com|
|Andrew Guess is an assistant professor at Princeton. He is at work on numerous projects with the lab, such as investigating the spread of rumors on Twitter and using social media data to study the dynamics of opinion change during the primary election season. His research explores the intersection of political psychology and political communication in the context of the online media environment. For more, click here.|
|Joanna Sterling received her BA at the University of Pittsburgh in both Psychology and International and Area Studies. She is recieved a doctorate in Social Psychology at New York University. Joanna is interested in studying conceptions of ideology, ideological identification, and inter-party communication. Her other research interests include system justification theory, mass media communication, leader perception, and indirect means of communication.|
Megan MacDuffee Metzger
|Megan Metzger’s research interests include social movements, political violence, public protest, revolution and nationalist politics. Her previous work has focused on Central and Eastern Europe and the Balkans, and she has spent time in the Czech Republic, Hungary, Romania and Bosnia, as well as in Spain. Megan holds a Bachelors in Anthropology and International Studies from Macalester College, a Masters in Political Science from the University of North Carolina at Chapel Hill, and a PhD from New York University.|
Yvan Scher (Engineer)
Megan Meltzer (PhD Student)
Joanna Sterling (PhD Student)
Andy Guess (Post-Doc)
Pablo Barberá (Post-Doc)
Drew Dimmery (PhD Student)
Duncan Penfold-Brown (Engineer)
Jonathan Ronen (Engineer)