Cloud Computing, Data Analytics, and Open Science: A New Paradigm for Discovery

In fields ranging from genomics to quantum physics, researchers are increasingly using data-intensive computing to generate new insights and discoveries. Because of the volume of data involved in this research, scientists often store, analyze, and share it in the cloud. By leveraging the nearly infinite scale and tremendous computer power available in the cloud, they also are developing novel analytics tools and conducting more open and collaborative research that is accelerating the growth of scientific knowledge.

Join the Center for Data Innovation for a discussion of how government can support data-intensive science, promote the development of open science, make research more accessible, and foster greater collaboration between the United States, Europe, and other global research partners.

Date and Time:

  • Friday, Feburary 12, 2016 from 9:00 AM – 10:30 AM (EST)


  • 1101 K St NW, Suite 610, Washington, DC, 20005


  • Dr. Phil Bourne, Associate Director For Data Science, National institutes of Health
  • Angel Pizarro, Technical Business Development Manager, Scientific and Research Computing Team, Amazon Web Services
  • Dr. Rene von Schomberg, Team Leader of Science Policy, European Commission
  • Ben Shneiderman, Professor of Computer Science, University of Maryland

Source : ADEC - Open data