BIG DATA REGIONAL INNOVATION HUBS & SPOKES

Transcription

1 BIG DATA REGIONAL INNOVATION HUBS & SPOKES MidWest Big Data Hub All Hands 2016 Fen Zhao Staff Associate, Strategic Innovation CISE Directorate, Office of the Assistant Director 1

2 THE BIG DATA HUBS PROGRAM An Agenda for The Discussion Today 01 THE HISTORY A continuation of this Administration s investment in Big Data 02 THE STRATEGY Driving innovation through consortia and partnerships 03 THE CALLS NSF has supported the BD Hubs program through two solicitations to support Hubs and Spokes 2

3 THE HISTORY BEHIND BD HUBS The National Big Data R&D Initiative & Data to Knowledge to Action (Data2Action) MAR 2012 Launch OSTP and NITRD Agencies kick off National Big Data R&D Initiative with new federal programs totaling $200M NOV 2013 Data2Action 90 organizations announce 29 new Big Data partnerships supported by $100M in non-federal funds JUN 2014 Partnerships Bear Fruit Partnerships update NITRD on midterm outcomes from announced projects MAY 2013 Big Data Partnerships Workshop Industry, academia, and government representatives gathered to learn about current Big Data partnership and brainstorm new ideas MAR 2015 BDHubs NSF initiates BDHubs effort to sustain and scale up collaborative Big Data innovation activities 3

4 THE HISTORY BEHIND BD SPOKES BD Spokes is the second phase of a long term NSF agenda for Big Data Partnerships MAR 2015 BD Hubs Launched BD Hubs solicitation to fund four regional Hubs is released JUN 2015 Hubs Proposals Submitted Large collaborative proposals submitted to NSF SEPT 2015 Hubs Awards Made Awards made to coordinating institutions APR 2015 Big Data Regional Charrettes Held Industry, academia, and government representatives gathered in four charrettes around the country NOV 2015 BD Spokes BD Spokes solicitation released before 5 th DC national charrette (bdhubs.info) 4

5 CURRENT ACTIVITIES FOR THE PROGRAM BD Spokes is the second phase of a long term NSF agenda for Big Data Partnerships NOV 2015 BD Spokes Launched BD Spokes Solicitation launched as and Hubs meet in DC workshop JAN 2016 Spokes Letter of Intent Submitted NSF received ~100 letters of intent as a combination of planning grants and spoke proposals on a number of topics FEB 2016 Spokes Full Proposals Due Teams to submit full proposals on Feb 24, 2016 DEC 2015 Hubs Organize Spoke Drafting Each Hub organizes workshops and draft Letter of Intent submission process to select project they would like to support Summer 2016 Spokes Funded BD Spokes and planning grants will be funded in FY16 5

6 THE NSF BIG DATA PORTFOLIO OF PROGRAMS Within the broader NSF portfolio, BDHubs focuses on building partnerships around Big Data RESEARCH Critical Techniques & Technologies for Big Data (BIGDATA) INFRASTRUCTURE Data Infrastructure Building Blocks (DIBBS) EDUCATION National Research Traineeship (NRT) PARTNERSHIPS Big Data Regional Innovation Hubs (BDHubs & Spokes) 6

7 HOW IS THE BD HUBS PROGRAM DIFFERENT? BD Hubs is not your typical NSF research program NETWORKING Funding from NSF is geared towards partnership building rather than research. DYNAMIC Hubs will be dynamic and grow over time to accommodate more interested participants COLLABORATION NOT COMPETITION NSF asked for a single collaborative proposal from each hub MULTIPHASE NSF supports Hub initiated partnership through supporting Spokes 7

8 Why focus on Big Data Partnerships? 8

9 OHN HOLDREN Assistant to the President for Science and Data2Action, Nov 2013 America is rich with institutions that are expert at generating data, but as a Nation we have not fulfilled our potential to make the most of these data by merging precompetitive resources, partnering on analytics, and sharing lessons learned. Today s announcements show that we are maturing in this respect, finding synergies and collaborative opportunities that will accelerate progress in a wide range of scientific, social, and economic domains. 9

10 WHAT ARE THE BENEFITS OF PARTNERING? Achieve collectively what is impossible individually INITIATE PARTNERSHIPS COMMON RESOURCES ACCESS TO TOP TALENT SHARE BEST PRACTICES REDUCE COORDINATION COSTS Hubs will bring together academia, industry, non-profits, and government to initiate new partnerships. By collectively ideating and bringing together resources from across sectors, partnerships can drive faster innovation and more novel ideas Participants can leverage the resources contributed by partners to Hub partnerships. Hubs can help develop plug and play infrastructure resources for partners. Resource providers can find users that will develop novel applications for their infrastructure. In a world where demand for Big Data talent far exceeds supply, Hubs will connect partners with students in academia. Projects with academia will train those students in projects of interest to partners before they even leave school. Big Data practices, especially in a sociotechnical context, are increasingly complex. Partners can develop and share best practices in areas such as privacy, discrimination, and ethics to ensure adoption while minimizing unwanted consequences. Partnerships always come with a logistical cost. With BDHubs, NSF will fund the staff and logistics support necessary for more complex collaborations, reducing overhead and maximizing benefits for participants. 10

11 WHAT IS THE BDHUBS NETWORK? Hub and Spoke A Nation-Wide Network for Data Innovation 1 Hubs Local stakeholders guide activities locally and nationally 3 Projects Partnerships formed to drive specific end goals in priority areas Spokes 2 Hub selects some local priority areas (i.e. transportation, manufacturing) 11

12 WEST MIDWEST NORTHEAST SOUTH Hubs based on Census Regions of the United States Alaska & Hawaii are part of the West Region US Territories can participate in any region 12

13 BASIC HUB STRUCTURE NSF has set a broader structure for the Hub, with details to be determined by Hub participants as appropriate Steering Council Tasked with making key decisions (i.e. governance and agenda setting) for the regional consortium as a whole Consist of unpaid representatives from a subset of participating organizations Executive Staff Includes a paid executive director and associated staff Will implement the decisions of the steering council and oversee day-today operations of the BD Hub Partner Organizations Need not be members of the steering council Can join the Hub at the inception or during the period of the BD Hub award 13

14 Alaska & Hawaii are part of the West region US Territories can participate in any region UW (PI) MIDWEST UND(co-PI) 106 Personnel 79 Organizations 12 states NORTHEAST 193 Personnel 99 Institutions 9 States U of M (co-pi) Iowa State (co-pi) Berkeley (PI) UIUC/NCSA (PI) Indiana U (co-pi) Columbia (PI) UNC/RENCI (PI) UCSD/SDSC (PI) WEST 86 Personnel 47 Organizations 13 States BD Hubs Points indicate affiliations of individuals named as steering council members and/or task leads. SOUTH* 116 Personnel 95 Organizations 15 States + DC Georgia Tech (PI) *South points indicate Senior Personnel University HPC Center Non-profit Government Industry 14

15 DESIGNING SPOKES BD Spokes are not your typical R&D project nor are they mini Hubs 15 15

16 SPOKES MAJOR THEMES Three different ways of slicing the Big Data Innovation problem SPOKES TO DIRECTLY ADDRESS 16

17 MISSION DRIVEN SPOKES BD 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. 17

18 AREAS OF EMPHASIS Some NSF priority areas include NEUROSCIENCE REPLICABILITY & REPRODUCABILITY IN DATA SCIENCE SMART & CONNECTED COMMUNITIES DATA PRIVACY DATA INTENSIVE RESEARCH IN THE SOCIAL, BEHAVIORAL, & ECONOMIC SCIENCES EDUCATION 18

19 Specifications & Limits AWARD INFORMATION & DUE DATES Each Spoke project will be funded up to a maximum of $1,000,000 for up to 3 years, subject to the availability of funds. Each Planning Grant will be funded up to a maximum of $100,000 for up to 1 year, subject to the availability of funds. Total anticipated funding amount of $10M An estimated 9 Spokes and 10 Planning Grants is anticipated. Letter of Intent Deadline: Jan 12, 2016 (5pm proposer s local time) Full Proposal Deadline: Feb 25, 2016 (5pm proposer s local time) 19

20 FOR FURTHER QUESTIONS CONTACT Fen Zhao, NSF Headquarters, Arlington VA 20