Berkeley Computational Social Science Forum
Date: Tuesday, April 19, 2022
Time: 4:00-5:00 PM Pacific Time
Location: Virtual Participation – Register to attend via Zoom
Academic Publishing Roundtable with David Harding, Heather Haveman, and Doug Guilbeault
Speakers: David Harding (Sociology and D-Lab), Heather Haveman (Sociology and Haas), and Doug Guilbeault (Haas), UC Berkeley
Abstract: In this roundtable, Dave, Heather, and Doug will speak from their experiences on what it takes to successfully publish in academic journals. They will cover the overall process, expected timelines, best practices, expectations, how to choose a journal, and nuances of special publication outlets like conference proceedings. Come with questions and discussion about your own experiences.
The Computational Social Science Forum is an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. Participants engage in a variety of activities such as presentations of work in progress, discussions and critiques of recent papers, introductions to new tools and methods, discussions around ethics, fairness, inequality, and responsible conduct of research, as well as professional development. This Forum is organized as part of the Computational Social Science Training Program, and weekly meetings are hosted by researchers from BIDS and D-Lab. The group welcomes social scientists and researchers with interests in data science methods and tools, and data scientists with applications or interests in public policy, social, behavioral, and health sciences. Participants include graduate students, postdocs, staff, and faculty, and members are encouraged to attend regularly in order to foster community around improving computational social science research, supporting the development and research of group members, and fostering new collaborations. Interested UC Berkeley community members are invited to use this registration form to receive the schedule and access links. Please contact css-t32@berkeley.edu for more information or if you are interested in presenting current research for an upcoming session.
Speaker(s)
David J. Harding
David J. Harding is Professor of Sociology and Faculty Director of the D-Lab, which supports data-intensive research in the social sciences and humanities. Dr. Harding studies poverty and inequality, urban neighborhoods, education, adolescents and young adults, incarceration, and prisoner reentry. He uses both qualitative and quantitative methods. His current projects include the social and economic reintegration of former prisoners, the transition to adulthood after prison, the effects of incarceration on crime, employment, and health, and causal inference for contextual effects research.
Heather A. Haveman
Heather A. Haveman is a Professor of Sociology and Business at UC Berkeley. She holds a BA in history and an MBA (from the University of Toronto), and a Ph.D. in organizational behavior and industrial relations (from UC Berkeley). Following positions at Duke University's Fuqua School of Business, Cornell University's Johnson Graduate School of Management, and Columbia University's Graduate School of Business, Professor Haveman joined UC Berkeley in July 2006. Her research interests include how organizations, the fields in which they are embedded, and the careers of their members and employees evolve. Her current work involves American magazines and wineries, Chinese listed firms, and the emerging marijuana market in several US states.
Douglas Guilbeault
Douglas Guilbeault is an Assistant Professor in the Management of Organizations Group at the Haas School of Business. He studies how people learn, challenge, develop, and invent categories by communicating in social networks. This investigation extends to the analysis of how organizations mediate and augment social computation by enabling new forms of communication, coordination, and creativity. This investigation further extends into how the social construction of meaning can be shaped by various sources of influence, such as political messaging and the design of social media platforms. His work on these topics has appeared in a number of journals, including Nature Communications, The Proceedings of the National Academy of the Sciences, Cognition, Policy and Internet, and The Journal of International Affairs, as well as in popular news outlets, such as The Atlantic and Wired. Guilbeault’s work has received top research awards from The International Conference on Computational Social Science, The Cognitive Science Society, and The International Communication Association. In addition, he was a recipient of Stanford’s “The Art of Science” award for the piece “Changing Views in Data Science over 50 Years” produced in collaboration with the research collective, comp-syn. Guilbeault teaches People Analytics at Haas, focusing on how organizations are using novel algorithmic methods to address (and sometimes inadvertently create) fundamental problems in management.