Harnessing the Data Revolution

Event Details
  • Date/Time:
    • Friday December 1, 2017
      2:00 pm - 3:00 pm
  • Location: Auditorium, Technology Square Research Building (TSRB), 85 5th St NW, Atlanta, GA 30308
  • Phone:
  • URL: TSRB location and parking
  • Email:
  • Fee(s):
    N/A
  • Extras:
    Free food
Contact

Jennifer Salazar
jsalazar@gatech.edu

Summaries

Summary Sentence: An IDEaS Distinguished Lecture by Chaitan Baru, Senior Advisor for Data Science in CISE at NSF

Full Summary: Chaitan Baru will describe community activities related to NSF'S Big Idea:Harnessing the Data Revolution, including workshops on translational data science, open knowledge network, and “Data Science Corps”. As the only federal agency supporting all fields of science and engineering, NSF is uniquely positioned to help ensure that our country's future is one enriched and improved by data.    

Media
  • Chaitan Baru Chaitan Baru
    (image/jpeg)

Abstract

Harnessing Data for 21st Century Science and Engineering (aka Harnessing the Data Revolution, HDR) is one of NSF's six "Big Research Ideas." The goals are to support fundamental research in data science and engineering; develop a cohesive, federated approach to the research data infrastructure needed to power this revolution; and develop a 21st-century data-capable workforce.

HDR will enable new modes of data-driven discovery, allowing researchers to ask and answer new questions in frontier science and engineering, generate new knowledge and understanding by working with domain experts, and accelerate discovery and innovation. This initiative builds on NSF's history of data science investments.

Chaitan Baru will describe community activities related to HDR, including workshops on translational data science, open knowledge network, and “Data Science Corps”. As the only federal agency supporting all fields of science and engineering, NSF is uniquely positioned to help ensure that our country's future is one enriched and improved by data.
 
About the Speaker

Chaitan Baru is Senior Advisor for Data Science in the Computer and Information Science and Engineering (CISE) Directorate at the U.S. National Science Foundation (NSF). He co-chairs the NSF working group on Harnessing the Data Revolution Big Idea; serves as advisor to the NSF Big Data Regional Innovation Hubs and Spokes program (BD Hubs/Spokes); manages the cross-Foundation NSF BIGDATA program; and, is a member of the NSF Transdisciplinary Research in Principles of Data Science (TRIPODS) program.

He was instrumental in recruiting Amazon Web Services (AWS), Google, and Microsoft Azure as partners in the NSF BIGDATA program.

He co-chairs the Big Data Inter-agency Working Group of the Networking and IT R&D program (NITRD) of the White House Office of Science and Technology Policy.

He is one of the primary co-authors of the Federal Big Data R&D Strategic Plan, released in May 2016. He is a member of the NSTC Data Science Interagency Working Group and represents NSF on the Federal Data Cabinet.

He is on assignment at NSF from the San Diego Supercomputer Center, University of California San Diego, where he is a Distinguished Scientist and directs the Center for Large-scale Data Systems Research (clds.sdsc.edu) and the Advanced Cyberinfrastructure Development Group (acid.sdsc.edu).

Seminar attendees are invited to attend the IDEaS Networking Social after the lecture. Refreshments will be served.

Host: Srinivas Aluru, professor in the College of Computing and co-executive director of the Institute for Data Engineering and Science (IDEaS) at Georgia Tech

Editor's Note: This event was originally posted in the Georgia Tech calendar. For updates, check the original posting.

Additional Information

In Campus Calendar
No
Groups

College of Sciences, School of Chemistry and Biochemistry, School of Mathematics, School of Physics

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
data science, National Science Foundation, data infrastructure, CISE
Status
  • Created By: A. Maureen Rouhi
  • Workflow Status: Published
  • Created On: Nov 28, 2017 - 12:09pm
  • Last Updated: Nov 28, 2017 - 12:25pm