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Abstract
The abundance of data, coupled with cheap and widely-available computing and storage, has revolutionized science, industry and government alike. Now, to a large extent, the bottleneck to actionable insights lies with people. From a data management and systems perspective, this leads to several challenges, including the need to build usable and scalable tools, to support the interactivity requirements for exploratory analyses, and to guide users in the data-driven discovery process.
In this talk, Professor Juliana Freire will present a set of techniques that aim to address these challenges by combining methods from multiple areas of computer science. Professor Freire will also describe systems we have built that use these techniques to empower domain experts to explore data and build trust in the insights they derive.
Biography
Juliana Freire is a Professor of Computer Science and Data Science at New York University. She is the elected chair of the ACM Special Interest Group on Management of Data (SIGMOD). She served as a council member of the Computing Research Association’s Computing Community Consortium (CCC), and was the lead investigator and executive director of the NYU Moore-Sloan Data Science Environment. Her research interests are in large-scale data analysis, curation and integration, visualization, provenance management, and information discovery. She has made contributions to data management methods and tools that address problems introduced by emerging applications including urban analytics, predictive modeling, and computational reproducibility.
Professor Freire has co-authored over 200 technical papers (including 8 award-winning publications), several open-source systems, and is an inventor of 12 U.S. patents. She is an ACM Fellow and a recipient of an NSF CAREER, two IBM Faculty awards, and a Google Faculty Research award. She was recognized with the ACM SIGMOD Contributions Award in 2020. She received a BSc degree in computer science from the Federal University of Ceara (Brazil), and MSc and PhD degrees in computer science from the State University of New York at Stony Brook.
How to join
The seminar can be joined through Microsoft Teams - either through the Teams app or your web browser.
Presentation slides
The presentation slides have been made available.