Matthew Salganik
Parker, Colorado,United States
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Matthew J. Salganik is a Professor of Sociology at Princeton University, where he is also affiliated with several of Princeton's interdisciplinary research centers, including the Center for Information Technology Policy and the Center for Statistics and Machine Learning. He is a leading figure in the field of computational social science, focusing on how new forms of data and computation can be used to study social life in novel ways. Salganik is best known for his book 'Bit by Bit: Social Research in the Digital Age,' which provides a comprehensive guide to leveraging digital tools for social research. His work often involves innovative methods like web-based experiments, digital trace data analysis, and mass collaboration projects (such as the Fragile Families Challenge and Wiki Surveys) to address complex social questions related to inequality, social networks, and collective intelligence.
Professional Summary
Matthew Salganik's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Author of 'Bit by Bit: Social Research in the Digital Age'
Authored the influential and widely-adopted book (published by Princeton University Press, 2017) that serves as a foundational text for students and researchers in computational social science, guiding them through the opportunities and challenges of research in the digital era.
Pioneer of Mass Collaboration Research Projects
Spearheaded innovative large-scale collaborative research initiatives, such as the Fragile Families Challenge, which invited hundreds of researchers to predict life outcomes using a common dataset, fostering open science and advancing predictive modeling in social science.
Development of Wiki Surveys
Co-developed 'wiki surveys,' an adaptive survey methodology that allows participants to contribute questions as well as answers, enabling more dynamic and participant-driven data collection for social research.
Recipient of the Leo Goodman Award
Awarded the Leo Goodman Award by the American Sociological Association's Section on Methodology, recognizing outstanding contributions to sociological methodology by a scholar early in their career (received in 2016).
Co-founder of the Summer Institute in Computational Social Science (SICSS)
Co-founded and helps organize SICSS, an annual intensive program that introduces graduate students, postdoctoral researchers, and junior faculty to computational social science, fostering a global community of practice.
Educational Background
BA, Business
Fort Lewis College - Year 1989
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Company Overview
AccurisAccuris is a leading provider of engineering and technical intelligence, offering access to critical standards, codes, specifications, and other data-driven insights. Their solutions empower professionals in industries such as aerospace, defense, energy, construction, and manufacturing to accelerate innovation, ensure compliance, manage risk, and enhance productivity by providing essential information and workflow tools.
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