NORTHWESTERN INSTITUTEON COMPLEX SYSTEMS

Professor Bagrow's interests include: complex networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), statistical physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), optimization (glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions), and more.

Michael Mauskapf's research integrates insights from organization theory, economic sociology, and computational social science to better understand the dynamics of creativity, innovation, and success in cultural industries.

Roger Guimerà graduated in Physics at Universitat de Barcelona in 1998, and obtained a PhD in Chemical Engineering from Universitat Rovira i Virgili in 2003. He then moved to Northwestern University, where he worked as a postdoctoral fellow and, later, as a Fulbright Scholar. In 2008 he became a Research Assistant Professor at Northwestern's department of Chemical and Biological Engineering, before accepting his current position at ICREA.

Jared Lorence works as a Software Engineer at Narrative Science. Previously, he was a postdoctoral fellow at the Northwestern Institute on Complex Systems (NICO) and data scientist at StumbleUpon. His academic research explored human behavior in social information environments on the Web, with a focus on music listening and tagging behavior. I integrate knowledge of human search and decision making capacities with large scale data mining and analysis methods.

Professor Maroulis' research addresses the theoretical and methodological challenges involved with studying how social and economic systems change.   He is especially interested in understanding the problem of “policy resistance” - why well-intentioned organizational and public policies often produce unanticipated responses by the systems they trying to improve.  He views understanding the connection between individual and collective behavior as central to understanding policy resistance, and consequently use tools such as agent‐based modeling and social network analysis which foreground the interactions between individuals in a system.

Satyam Mukherjee is an Assistant Professor of Operations Management, Quantitative Methods and Information Systems in Indian Institute of Management Udaipur, India. Satyam was a post doctoral fellow in Northwestern Institute on Complex Systems (NICO) at Northwestern University Evanston working with Prof Brian Uzzi between 2012 and 2016. His research interests are in Big Data, Physics of Complex Systems, Statistical Physics, Complex Networks, Political Prediction Markets, and Sports Analysis.

Professor Romero's main research interest is the empirical and theoretical analysis of Social and Information Networks. He is particularly interested in understanding the mechanisms involved in network evolution, information diffusion, and interactions among people on the Web and in complex organizations.

Professor Saavedra studies the tolerance and response of ecological communities to environmental variations through the lens of structural stability.

Mike Stringer is an Executive Design Director at IDEO.  He was previously the co-founder and partner of Datascope Analytics, a Chicago data-driven consulting and design firm which was aquired by IDEO in October 2017.  He often speaks about creatively using data at conferences and leads the Data Science Chicago group. Stringer received a BS in Engineering Physics from the University of Colorado and a PhD in Physics from Northwestern University.

Pramesh Singh's research focuses on complex networks, social dynamics, stochastic processes, critical phenomena, monte carlo simulations, and statistical mechanics.

Professor Uparna’s research is about entrepreneurship, emerging markets, network theory and big data. He studies small-scale entrepreneurs across the world, and how they exhibit, solicit and receive trust in cross-cultural settings. He is also interested in the antecedents of entrepreneurial decisions in hierarchical societies, and predictors of such endeavors.

Youyou Wu's doctoral work focused on inferring people's personality from their social media profiles using machine learning and text mining. More recently, she is interested in how machine algorithms' performance compares to humans' in various social/cognitive tasks, and whether algorithms can help overcome human biases.

Stefan Wuchty is an Associate Professor in the Department of Computer Science at the University of Miami. His research revolves around the development and application of bioinformatics algorithms and computational tools to real biological and biomedical problems. Furthermore, his group also focuses on research in the social sciences, where he is interested in the computational analysis of groups and contents in social media and the patterns in the production of scientific knowledge.