Leaders From Academia, Industry and Government Address Big Data, Workforce
Panel at Joint Statistical Meetings in San Diego convenes on July 31 to discuss the transformative effect of Big Data on science and society
The need for computer models, simulations and other tools for visualizing large data sets is increasing across diverse fields: from astronomy and finance to social networks and medicine. Improving existing tools and developing new ones to transform these areas will require collaborative efforts that include experts in the statistical sciences and the computational sciences.
At the Joint Statistical Meetings--which begin in San Diego this weekend--a group of experts will address the implications of these changes. On July 31st the "Big Data: Research and Training Challenges" panel discussion, organized by Nandini Kannan, program director at NSF, will bring together leaders from academia, industry and government to talk about the challenges associated with the ever-increasing need to extract meaningful patterns from data. Topics for discussion include improved tools for visualizing and analyzing data, development of efficient simulation algorithms, and education and training of a future workforce equipped to effectively interpret these data.
The panelists will participate in a Q&A session for the news media immediately following the panel discussion.
The National Science Foundation (NSF) is an independent federal agency that supports fundamental research and education across all fields of science and engineering. In fiscal year (FY) 2017, its budget is $7.5 billion. NSF funds reach all 50 states through grants to nearly 2,000 colleges, universities and other institutions. Each year, NSF receives more than 48,000 competitive proposals for funding and makes about 12,000 new funding awards.
Useful NSF Web Sites: