Date(s) - 04/21/2021
12:00 pm

Join us on Wednesday, April 21st at noon PST for a seminar about Data Equity and Open Science with presentations by Dr. H.V. Jagadish and Dr. Ciera Martinez.

Zoom link:


“Data Equity: A Core Requirement for Responsible Data Science”

H.V. Jagadish is the Director of the Michigan Institute for Data Science and Professor of Computer Science and Engineering at the University of Michigan. Professor Jagadish is well known for his broad-ranging research on information management, and has approximately 200 major papers and 37 patents. He is a fellow of the ACM, “The First Society in Computing,” (since 2003) and serves on the board of the Computing Research Association (since 2009). He has been an Associate Editor for the ACM Transactions on Database Systems (1992-1995), Program Chair of the ACM SIGMOD annual conference (1996), Program Chair of the ISMB conference (2005), a trustee of the VLDB (Very Large DataBase) foundation (2004-2009), Founding Editor-in-Chief of the Proceedings of the VLDB Endowment (2008-2014), and Program Chair of the VLDB Conference (2014).

“Open Science as a Community Practice”

Ciera Martinez is the Biodiversity and Environmental Sciences Lead at the Berkeley Institute for Data Science. Martinez is also working on several projects to combine data science to address environmental issues. Most recently, she and a number of BIDS Faculty affiliates have been pursuing funding for large multidisciplinary research projects that explore how species interact in response to ecological disturbances, one of the most interesting examples being climate change. Such multidisciplinary research projects using data science are a primary focus of UC Berkeley’s Division of Computing, Data Science, and Society, which BIDS is a part of.


The Data Science Coast to Coast (DS C2C) seminar series is co-hosted by the eScience Institute, along with data science institutes at New York University, Rice University, Stanford University, University of California – Berkeley, University of Michigan and the Academic Data Science Alliance (ADSA).

In the first half of 2021, we will host five seminars, each featuring one faculty member and one postdoctoral fellow from two universities.  Each speaker will give a 20-minute talk about ongoing projects and motivating issues, followed by 20 minutes of discussion with the audience. These seminars will be the launching point for follow-on research discussion meetings which will hopefully lead to fruitful collaborative research.