|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 cases 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.