WiDS Berkeley 2021, a series of livestreamed events celebrating Women in Data Science at UC Berkeley, will feature programming connected to the WiDS Worldwide 2021 conference on March 8, and live, virtual programming throughout the week highlighting distinguished scholars and practitioners from Berkeley and across the Bay Area. The event will bring together data scientists and professionals in adjacent fields from around the globe to discuss the latest research and applications of data science in a broad set of domains. Participants will learn how leading-edge companies are leveraging data science for success, with opportunities to connect with potential mentors, collaborators, and others in the field.
WiDS Berkeley 2021 is sponsored by D-Lab; the Division of Computing, Data Science and Society; Research IT; Research, Teaching, and Learning; the School of Information; and the UC Berkeley Library.
Former BIDS Data Science Fellow Laura K. Nelson is an Assistant Professor of Sociology in the College of Social Sciences and Humanities at Northeastern University. Laura uses computational methods and open source tools - principally automated text analysis - to study social movements, culture, gender, institutions, and organizations. She is particularly interested in developing computational tools that can bolster the way social scientists do inductive and theory-driven research. She received her PhD in sociology from the University of California, Berkeley, and she also holds an MA from UC Berkeley and a BA from the University of Wisconsin, Madison. While at UC Berkeley, she was a postdoctoral fellow with Digital Humanities @ Berkeley, developing a course for undergraduates on computational text analysis in the humanities and social sciences.