To foster the interdisciplinary study of interactions between the biological and the social, from a complex systems perspective. Our research agenda aims to advance biomedical, public health, ecological, social, and cognitive science areas which encompasses health and biomedicine, policy, culture, and society, as well as data and complex systems methods.
Luis M. Rocha is the George J. Klir Professor of Systems Science at the Thomas J. Watson College of Engineering and Applied Science (Department of Systems Science and Industrial Engineering), Binghamton University (State University of New York), where he leads the Complex Adaptive Systems and Computational Intelligence (CASCI) lab. He is also director of the Center for Social and Biomedical Complexity, between Binghamton University and Indiana University, Bloomington. He has published many articles in scientific and technology journals, and has been the recipient of several scholarships and awards. At Indiana University, he has received the Indiana University, School of Informatics and Computing Trustees Award for Teaching Excellence in 2006 and 2015 after developing the complex systems training program.
Professor of Informatics and Cognitive Science at Indiana University. He was formerly a staff scientist at Los Almos National Laboratory from 2005-2009. He obtained his Ph.D. in Experimental Psychology from the Vrije Universiteit Brussell (VUB) in 2001, and has published more than 75 articles on computational social science, social science, social complexity, health, well-being, machine learning, and informatics. His research has been funded by the NSF, DARPA, IARPA, EDA, NASA, and Andrew W. Mellon Foundation. He is a fellow of the Institute for Urban Mental Health at the University of Amsterdam and the Wageningen University and Research Synergy Program for Analysing Resilience and Critical transitionS (SparcS), and the co-inventor of two registered patents. Johan lives in Bloomington, Indiana with his wife and daughter.
The Center for Social and Biomedical Complexity is a member of the Complex Networks and Systems Ph.D. track of the Luddy School of Informatics, Computing, and Engineering, and the Indiana University Network Science Institute.