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National Science Foundation1
BIG DATA REGIONAL INNOVATION HUBS& SPOKESOverview of the Program for the AI Community
Fen Zhao
Nov 18, 2016
National Science Foundation2
KEY TAKEAWAYS
Brings together domain scientists, computer
scientists, and end users to use data to solve
challenges
01 THE PROGRAM
Encourages collaborations with industry, state & local governments, non
profits, and others that are not typical NSF participants
02 THE STAKEHOLDERS
AI is a critical part of accelerating science and innovation using Big Dat
03 PARTICIPATION
National Science Foundation3
WHAT IS THE HISTORY BEHIND BDHUBS?The National Big Data R&D Initiative & Data to Knowledge to Action (Data2Action)
MAR2012
MAY2013
LaunchOSTP and NITRD Agencies (lead by NSF) kick off the National Big Data R&D Initiative with new federal programs totaling $200M
Big Data Partnerships WorkshopIndustry, academia, and government representatives gathered to learn about current Big Data partnership and brainstorm new ideas
NOV2013
Data2Action90 organizations announce 29 new Big Data partnerships supported by $100M in non-federal funds
JUN2014
Partnerships Bear FruitPartnerships update NITRD on midterm outcomes from announced projects
MAR2015
BDHubsNSF initiates BDHubseffort to sustain and scale up collaborative Big Data innovation activities
National Science Foundation4
WITHIN THE BIG DATA PORTFOLIO OF PROGRAMS
RESEARCHCritical Techniques & Technologies for … Big Data (BIGDATA)
INFRASTRUCTUREData Infrastructure Building Blocks (DIBBS)
EDUCATIONNational Research Traineeship (NRT)
PARTNERSHIPSBig Data Regional Innovation Hubs: Spokes (BD Spokes)
Within the broader portfolio, BD Hubs and BD Spokesfocuses on building partnerships around Big Data
National Science Foundation5
THE HISTORY BEHIND BD SPOKESBD Spokes is the second phase of a long term NSF agenda for Big Data Partnerships
MAR2015
APR2015
BD Hubs LaunchedBD Hubs solicitation to fund four regional Hubs is released
Big Data Regional Charrettes HeldIndustry, academia, and government representatives gathered in four charrettes around the country
JUN2015
Hubs Proposals SubmittedLarge collaborative proposals submitted to NSF
SEPT2015
Hubs Awards MadeAwards made to coordinating institutions
NOV2015
BD SpokesBD Spokes solicitation released before 5th DC national charrette (bdhubs.info)
National Science Foundation6
MIDWEST
SOUTH
Alaska & Hawaii are part of the West regionUS Territories can participate in any region 106 Personnel
79 Organizations12 states
UIUC/NCSA (PI)Indiana U (co-PI)
Iowa State (co-PI)
U of M (co-PI)
UND(co-PI)
NORTHEAST193 Personnel99 Institutions9 States
WESTUCSD/SDSC (PI)
Berkeley (PI)
UW (PI)
Georgia Tech (PI)
UNC/RENCI (PI)
86 Personnel 47 Organizations13 States
Columbia (PI)
University
Non-profit
Government
Industry
HPC Center
116 Personnel95 Organizations15 States + DC
BD HubsFounding organizations for BDHubs in 2015Points indicate affiliations of individuals named as steering council members and/or task leads or senior personnel.
National Science Foundation77
BD Spokes are not your typical R&D project
nor are they mini Hubs
The strategy behind
BD SPOKES
National Science Foundation8
MISSION DRIVEN SPOKESBD Spokes proposals must articulate a clear focus within a specific Big Data topic or application area, while highlighting their Big Data Innovation theme.
All BD Spokes must have clearly defined mission statements with goals and corresponding metrics of success.
National Science Foundation9
SPOKES TO DIRECTLY ADDRESS
SPOKESMAJORTHEMESThree different ways of slicing the Big Data Innovation problem
National Science Foundation10
AREAS OF EMPHASISSome NSF priority areas include
NEUROSCIENCE REPLICABILITY & REPRODUCABILITYIN DATA SCIENCE
SMART & CONNECTED COMMUNITIES
DATA PRIVACY DATA INTENSIVE RESEARCH IN THE SOCIAL, BEHAVIORAL, & ECONOMIC SCIENCES
EDUCATION
National Science Foundation11
Alaska & Hawaii are part of the West regionUS Territories can participate in any region
NORTHEAST
BD Spokes:Phase 1Includes lead and non-lead institutions for Spokes and Planning Grants
MIDWEST
SOUTH
WEST
Planning Grant LeadPlanning Grant Non-leadSpoke Lead
Spoke Non-Lead or Subaward
12
IBM WATSON + ENCYCLOPEDIA OF LIFE
Encyclopedia of Life (EOL) is the world's largest database of biological species and other biodiversity information. EOL also works closely with scores of other biodiversity datasets such as BISON, GBIF, and OBIS.
This project seeks to make EOL and related biodiversity data sources accessible, usable, and useful, by integrating extant artificial intelligence tools for information extraction, modeling and simulation, and question answering.
(1) Cognopsi: semantically annotate documents in EOL through controlled vocabularies for specific domains within ecological and environmental science
(2) MILA-S: constructs conceptual models of ecological phenomena and automatically spawns simulation models; use with EOL TraitBank, to generate and test explanatory hypotheses as well as make predictions about ecosystems
(3) Watson+: adds semantic processing to Watson to act as a virtual research assistant; will train Watson+ for answering questions about biological species using EOL.
“Using Big Data for Environmental Sustainability: Big Data + AI Technology = Accessible, Usable, Useful Knowledge!”
Georgia Tech & Smithsonian InstitutionLead Proposal: 1636848
National Science Foundation13
KEY TAKEAWAYS
Brings together domain scientists, computer
scientists, and end users to use data to solve
challenges
01 THE PROGRAM
Encourages collaborations with industry, state & local governments, non
profits, and others that are not typical NSF participants
02 THE STAKEHOLDERS
AI is a critical part of accelerating science and innovation using Big Dat
03 PARTICIPATION
National Science Foundation14
FOR FURTHER QUESTIONS CONTACTFen Zhao, [email protected] 703 292 7344
NSF Headquarters, Arlington VA