This award supports participation by graduate students and junior researchers in the conference "Statistics in the Big Data Era" held at the Simons Institute for the Theory of Computing at the University of California, Berkeley during May 27-29, 2020. This conference focuses on the changing role and nature of the discipline of statistics in the time of a data deluge in many applications, and on the increasing success of artificial intelligence at performing many data analysis tasks. The conference will feature approximately twenty invited speakers who have made fundamental contributions to the theory and practice of statistics and machine learning. The meeting aims to bring together experts in statistical methodology and theory for complex and big data with researchers focused on a range of applications, from genomics to social networks, and to provide opportunities for early-career researchers to learn about both emerging methods and applications. This conference will be an especially important opportunity for graduate students and early-career researchers to see recent advances and emerging challenges in the theory, methodology, and application of statistics in the big data era.

Statistics plays a central role in quantitative research in many disciplines, including social and biological sciences. With the advances in information technology, statistics has gone through a paradigm shift from conventional methods to big data analytics and modern machine learning. This conference will bring together current leading statisticians and the next generation of statistical leaders to discuss achievements and difficulties in the statistical analysis of big data. The meeting will focus on methodology for solving challenges involving big data with complex and heterogeneous structure. The discussions will promote opportunities for statisticians to identify important research topics and critical applications in science and industry. Another important component is a poster session in which students and early-career researchers present their work. The conference program also includes discussion of statistics and data science education in the era of big data.

More information about the conference can be found at https://simons.berkeley.edu/workshops/statistics-big-data-era.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Type
Standard Grant (Standard)
Application #
2005243
Program Officer
Branislav Vidakovic
Project Start
Project End
Budget Start
2020-01-01
Budget End
2021-12-31
Support Year
Fiscal Year
2020
Total Cost
$19,950
Indirect Cost
Name
University of California Berkeley
Department
Type
DUNS #
City
Berkeley
State
CA
Country
United States
Zip Code
94710