Matthew J. Salganik | |
---|---|
Born | 1976 (age 47–48) |
Nationality | American |
Alma mater | Columbia University |
Scientific career | |
Fields | Sociology |
Institutions | Princeton University |
Doctoral advisor | Duncan J. Watts |
Matthew Jeffrey Salganik (born 1976) is an American sociologist and professor of sociology at Princeton University with a special interest on social networks and computational social science. [1]
Salganik received his bachelor's degree in mathematics at Emory University in 1998. He proceeded to get his master's degree in sociology at Cornell University in 2003, where he also lived in the Telluride House. He finished his Ph.D. in sociology (with distinction) at Columbia University in 2007. [2] Salganik was hired by Princeton in 2007 as an assistant professor and was promoted to full professor in 2013. Alongside this, he also currently serves as the Director of the Center for Information Technology Policy. Salganik is affiliated with interdisciplinary research centers at Princeton, such as the Office for Population Research, the Center for Information Technology Policy, the Center for Health and Wellbeing, and the Center for Statistics and Machine Learning. [1] [3] In 2017, he and Chris Bail co-founded Summer Institute in Computational Social Science (SICSS), an annual program that provides learning and research opportunities for students, faculty, and researchers across the world within the realm of data science and social science. [4]
His research has been previously funded by the National Science Foundation, National Institutes of Health, Joint United Nations Programs for HIV/AIDS, Russell Sage Foundation, Sloan Foundation, Facebook, and Google. [5]
Salganik published his first book Bit by Bit, [6] on December 5, 2017, in which he explores the birth and spread of social media and other digital advancements and how this has ultimately changed the way social scientists and data scientists can conduct research to collect and process data on human behavior.
Other publications include articles in Science , [7] PNAS , [8] Sociological Methodology , [9] and Journal of the American Statistical Association . [10] His work has appeared in The New York Times , Wall Street Journal , Journal Economist, and The New Yorker .
Salganik won the Outstanding Article Award from the Mathematical Sociology Section of the American Sociological Association [11] in 2005. He won the Outstanding Statistical Application Award from the American Statistical Association in 2008.
Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.
David Botstein is an American biologist who is the chief scientific officer of Calico. He was the director of the Lewis-Sigler Institute for Integrative Genomics at Princeton University from 2003 to 2013, where he remains an Anthony B. Evnin Professor of Genomics.
David S. Eisenberg is an American biochemist and biophysicist best known for his contributions to structural biology and computational molecular biology. He has been a professor at the University of California, Los Angeles since the early 1970s and was director of the UCLA-DOE Institute for Genomics & Proteomics, as well as a member of the California NanoSystems Institute (CNSI) at UCLA.
Susan Tufts Fiske is an American psychologist who serves as the Eugene Higgins Professor of Psychology and Public Affairs in the Department of Psychology at Princeton University. She is a social psychologist known for her work on social cognition, stereotypes, and prejudice. Fiske leads the Intergroup Relations, Social Cognition, and Social Neuroscience Lab at Princeton University. Her theoretical contributions include the development of the stereotype content model, ambivalent sexism theory, power as control theory, and the continuum model of impression formation.
Emery Neal Brown is an American statistician, computational neuroscientist, and anesthesiologist. He is the Warren M. Zapol Professor of Anesthesia at Harvard Medical School and at Massachusetts General Hospital (MGH), and a practicing anesthesiologist at MGH. At MIT he is the Edward Hood Taplin Professor of Medical Engineering and professor of computational neuroscience, the associate director of the Institute for Medical Engineering and Science, and the Director of the Harvard–MIT Program in Health Sciences and Technology.
Alessandro Vespignani is an Italian-American physicist, best known for his work on complex networks, and particularly for work on the applications of network theory to the mathematical modeling of infectious disease, applications of computational epidemiology, and for studies of the topological properties of the Internet. He is currently the Sternberg Family Distinguished University Professor of Physics, Computer Science and Health Sciences at Northeastern University, where he is the director of the Network Science Institute.
The Matthew effect of accumulated advantage, sometimes called the Matthew principle, is the tendency of individuals to accrue social or economic success in proportion to their initial level of popularity, friends, and wealth. It is sometimes summarized by the adage or platitude "the rich get richer and the poor get poorer". The term was coined by sociologists Robert K. Merton and Harriet Zuckerman in 1968 and takes its name from the Parable of the Talents in the biblical Gospel of Matthew.
Olga G. Troyanskaya is an American scientist. She is Professor in the Department of Computer Science and the Lewis-Sigler Institute for Integrative Genomics at Princeton University and the Deputy Director for Genomics at the Flatiron Institute's Center for Computational Biology in New York City. She studies protein function and interactions in biological pathways by analyzing genomic data using computational tools.
The Future of Families and Child Wellbeing Study (FFCWS) is a longitudinal birth cohort study of American families. Formerly known as the Fragile Families and Child Wellbeing Study, the study’s name was changed in January 2023.
Computational social science is an interdisciplinary academic sub-field concerned with computational approaches to the social sciences. This means that computers are used to model, simulate, and analyze social phenomena. It has been applied in areas such as computational economics, computational sociology, computational media analysis, cliodynamics, culturomics, nonprofit studies. It focuses on investigating social and behavioral relationships and interactions using data science approaches, network analysis, social simulation and studies using interactive systems.
Ronald Breiger is an American sociologist and a Regents Professor, a professor of sociology and government and public policy, an affiliate of the interdisciplinary graduate program in statistics and data science, and an affiliate of the interdisciplinary graduate program in applied mathematics at the University of Arizona. Prior to coming to Arizona he served on the faculties of Harvard University and Cornell University. He is well cited in the fields of social networks, social stratification, mathematical sociology, organizational sociology and cultural sociology and, with Linton Freeman, edited the influential academic journal Social Networks from 1998 to 2006. In 2005 he was the recipient of the Georg Simmel Distinguished Career Award of the International Network for Social Network Analysis,. In 2018 he received the James S. Coleman Distinguished Career Achievement Award of the American Sociological Association (ASA) Section on Mathematical Sociology. In 2020 he was the recipient of the Paul F. Lazarsfeld Award of the ASA Section on Methodology, recognizing a scholar who has made a career of outstanding contributions to methodology in sociology.
Eric Poe Xing is an American computer scientist whose research spans machine learning, computational biology, and statistical methodology. Xing is founding President of the world’s first artificial intelligence university, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Damon Centola is an American sociologist and the Elihu Katz Professor of Communication, Sociology and Engineering at the University of Pennsylvania, where he is Director of the Network Dynamics Group and Senior Fellow at the Leonard Davis Institute of Health Economics.
Mona Singh is an American computer scientist and an expert in computational molecular biology and bioinformatics. She is the Wang Family Professor in Computer Science in the Lewis-Sigler Institute for Integrative Genomics and the Department of Computer Science at Princeton University. Since 2021, she has been the Editor-in-Chief of the Journal of Computational Biology.
Manolis Kellis is a professor of Computer Science and Computational Biology at the Massachusetts Institute of Technology (MIT) and a member of the Broad Institute of MIT and Harvard. He is the head of the Computational Biology Group at MIT and is a Principal Investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT.
John D. Storey is the William R. Harman '63 and Mary-Love Harman Professor in Genomics at Princeton University. His research is focused on statistical inference of high-dimensional data, particularly genomic data. Storey was the founding director of the Princeton University Center for Statistics and Machine Learning.
Robert E. Kass is the Maurice Falk University Professor of Statistics and Computational Neuroscience in the Department of Statistics and Data Science, the Machine Learning Department, and the Neuroscience Institute at Carnegie Mellon University.
Jennie E. Brand is an American sociologist and social statistician. She studies stratification, social inequality, education, social demography, disruptive events, and quantitative methods, including causal inference. Brand is currently Professor of Sociology and Statistics at the University of California, Los Angeles (UCLA), where she directs the California Center for Population Research and co-directs the Center for Social Statistics.
Pablo G. Debenedetti is the Class of 1950 Professor in Engineering and Applied Science and a professor of chemical and biological engineering at Princeton University. He served as Princeton's Dean for Research from 2013 to 2023. His research focuses on thermodynamics, statistical mechanics, and computer simulations of liquids and glasses.
Alan Anticevic is a Croatian neuroscientist known for his contributions to the fields of cognitive neuroscience, computational psychiatry, and neuroimaging studies of severe psychiatric illnesses.