[bww-users] Talk: Cloud Computing, Data Analytics, and Open Science: A New Paradigm for Discovery

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  • Subject: [bww-users] Talk: Cloud Computing, Data Analytics, and Open Science: A New Paradigm for Discovery
  • From: Ivo Jimenez <ivo@xxxxxxxxxxx>
  • Date: Tue, 09 Feb 2016 06:27:21 +0000
https://www.datainnovation.org/2016/02/cloud-computing-data-analytics-and-open-science-a-new-paradigm-for-discovery

Talk will be live-streamed and recorded. Link will be posted on that page
the day of the talk.

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, February 12, 2016 from 9:00 AM – 10:30 AM (EST)

*Location:*

   - 1101 K Street NW, Suite 610, Washington, DC, 20005

*Speakers:*


   - Dr. Phil Bourne, Associate Director For Data Science, National
   Institutes of Health
   - Joshua New, Policy Analyst, Center for Data Innovation (Moderator)
   - 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
   - Jerry Sheehan, Assistant Director for Scientific Data and Information,
   White House Office of Science and Technology Policy
   - Ben Shneiderman, Professor of Computer Science, University of Maryland
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