A major milestone is fast approaching: Data & Society’s 100th Databite! We’re gearing up to cross the #100 marker with Databite Series 100, a three-part talk series unfurling over the course of June 2017.
These three eclectic talks will feature ten of our 2016-2017 Fellows class speaking about their work and will showcase the wide-ranging interdisciplinary connections and a few of the provocative questions that have emerged from our fellows cohort this year:
Suchana Seth on Machine Learning: What’s Fair and How Do We Decide?;
Ravi Shroff on Stats and the City: A Data-Driven Approach to Criminal Justice and Child Welfare;
Anne Washington on Data Science Reasoning.
WHEN: June 14, 2017. 3:30pm Doors open. 4-5pm Talk + Q&A. 5-7pm Reception.
WHERE: Data & Society, 36 W. 20th St., 11th Floor
RSVP is required for entry. RSVP here.
Data & Society’s Databites speaker series is geared toward engaging our network and the broader public on unresolved questions and timely topics of interest to the D&S community.
Can’t attend? Livestream here.
Questions about Databite No. 101? Contact Data & Society Research Institute
About the Speakers
Suchana Seth is a physicist-turned-data scientist from India. She has built scalable data science solutions for startups and industry research labs, and holds patents in text mining and natural language processing. Suchana believes in the power of data to drive positive change, volunteers with DataKind, mentors data-for-good projects, and advises research on IoT ethics. She is also passionate about closing the gender gap in data science, and leads data science workshops with organizations like Women Who Code.
Ravi Shroff is a Research Scientist at New York University’s Center for Urban Science and Progress (CUSP), where he specializes in computational social science. His work involves using statistical and machine learning techniques to understand the criminal justice system, child welfare, and related urban issues. At Data & Society, Ravi will examine how simple computational models can be designed and implemented in city government. He studied mathematics at UC San Diego (PhD) and applied urban science and informatics at CUSP (MS).
Anne L. Washington is a computer scientist and a librarian who specializes in public sector technology management and informatics. She is an Assistant Professor at George Mason University. As a digital government scholar, her research focuses on the production, meaning, and retrieval of public sector information. She developed her expertise on government data working at the Congressional Research Service within the Library of Congress. She also served as an invited expert to the W3C E-Government Interest Group and the W3C Government Linked Data Working Group. She completed a PhD from The George Washington University School of Business. She holds a degree in computer science from Brown University and a Master’s in Library Information Science from Rutgers University. Before completing her PhD, she had extensive work experience in the private sector including the Claris Software division of Apple Computers and Barclays Global Investors.