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National Science Foundation 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

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Page 1: BIG DATA REGIONAL INNOVATION HUBS & SPOKESmidwestbigdatahub.org/wp-content/uploads/2016/04/... · BIG DATA REGIONAL INNOVATION HUBS & SPOKES MidWest Big Data Hub All Hands 2016 Fen

National Science Foundation 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

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National Science Foundation 2

THE BIG DATA HUBS PROGRAM An Agenda for The Discussion Today

A continuation of this Administration’s

investment in Big Data

01 THE HISTORY

Driving innovation through consortia and partnerships

02 THE STRATEGY

NSF has supported the BD Hubs program through two solicitations to support Hubs and Spokes

03 THE CALLS

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National Science Foundation 3

THE HISTORY BEHIND BD HUBS The National Big Data R&D Initiative & Data to Knowledge to Action (Data2Action)

MAR 2012

MAY 2013

Launch OSTP and NITRD Agencies kick off National Big Data R&D Initiative with new federal programs totaling $200M

Big Data Partnerships Workshop Industry, academia, and government representatives gathered to learn about current Big Data partnership and brainstorm new ideas

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

MAR 2015

BDHubs NSF initiates BDHubs effort to sustain and scale up collaborative Big Data innovation activities

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National Science Foundation 4

THE HISTORY BEHIND BD SPOKES BD Spokes is the second phase of a long term NSF agenda for Big Data Partnerships

MAR 2015

APR 2015

BD Hubs Launched BD Hubs solicitation to fund four regional Hubs is released

Big Data Regional Charrettes Held Industry, academia, and government representatives gathered in four charrettes around the country

JUN 2015

Hubs Proposals Submitted Large collaborative proposals submitted to NSF

SEPT 2015

Hubs Awards Made Awards made to coordinating institutions

NOV 2015

BD Spokes BD Spokes solicitation released before 5th DC national charrette (bdhubs.info)

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National Science Foundation 5

CURRENT ACTIVITIES FOR THE PROGRAM BD Spokes is the second phase of a long term NSF agenda for Big Data Partnerships

NOV 2015

DEC 2015

BD Spokes Launched BD Spokes Solicitation launched as 16-510 and Hubs meet in DC workshop

Hubs Organize Spoke Drafting Each Hub organizes workshops and draft Letter of Intent submission process to select project they would like to support

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

Summer 2016

Spokes Funded BD Spokes and planning grants will be funded in FY16

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National Science Foundation 6

THE NSF BIG DATA PORTFOLIO OF PROGRAMS

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)

Within the broader NSF portfolio, BDHubs focuses on building partnerships around Big Data

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National Science Foundation 7

HOW IS THE BD HUBS PROGRAM DIFFERENT?

NETWORKING Funding from NSF is geared towards

partnership building rather than research.

MULTIPHASE NSF supports Hub initiated partnership through supporting

Spokes

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

BD Hubs is not your typical NSF research program

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National Science Foundation 8

Why focus on Big Data

Partnerships?

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9

JOHN HOLDREN “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 pre-competitive 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.”

Assistant to the President for Science and Technology @ Data2Action, Nov 2013

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National Science Foundation 10

WHAT ARE THE BENEFITS OF PARTNERING? Achieve collectively what is impossible individually

INITIATE PARTNERSHIPS

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

COMMON RESOURCES

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.

ACCESS TO TOP TALENT

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.

SHARE BEST PRACTICES

Big Data practices, especially in a socio-technical 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.

REDUCE COORDINATION

COSTS 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.

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National Science Foundation 11

WHAT IS THE BDHUBS NETWORK? “Hub and Spoke”– A Nation-Wide Network for Data Innovation

Hubs

Local stakeholders guide activities

locally and nationally

1

Spokes

Hub selects some local priority areas (i.e. transportation,

manufacturing) 2

Projects

Partnerships formed to drive specific

end goals in priority areas

3

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National Science Foundation 12

Hubs based on Census Regions of the

United States

WEST MIDWEST

SOUTH

NORTHEAST

Alaska & Hawaii are part of the West Region US Territories can participate in any region

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National Science Foundation 13

BASIC HUB STRUCTURE S

teer

ing

Cou

ncil

• 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

Exe

cutiv

e S

taff

• Includes a paid executive director and associated staff

• Will implement the decisions of the steering council and oversee day-to-day operations of the BD Hub

Par

tner

Org

aniz

atio

ns

• Need not be members of the steering council

• Can join the Hub at the inception or during the period of the BD Hub award

NSF has set a broader structure for the Hub, with details to be determined by Hub participants as appropriate

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National Science Foundation 14

MIDWEST

SOUTH*

Alaska & Hawaii are part of the West region US Territories can participate in any region 106 Personnel

79 Organizations 12 states

UIUC/NCSA (PI) Indiana U (co-PI)

Iowa State (co-PI)

U of M (co-PI)

UND(co-PI)

NORTHEAST 193 Personnel 99 Institutions 9 States

WEST UCSD/SDSC (PI)

Berkeley (PI)

UW (PI)

Georgia Tech (PI)

UNC/RENCI (PI)

86 Personnel 47 Organizations 13 States

Columbia (PI)

University

Non-profit

Government

Industry

HPC Center

116 Personnel 95 Organizations 15 States + DC

BD Hubs Points indicate affiliations of individuals named as steering council members and/or task leads. *South points indicate Senior Personnel

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National Science Foundation 15 15

BD Spokes are not your typical R&D project

nor are they mini Hubs

DESIGNING SPOKES

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National Science Foundation 16

SPOKES TO DIRECTLY ADDRESS

SPOKESMAJOR THEMES Three different ways of slicing the Big Data Innovation problem

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National Science Foundation 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.

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National Science Foundation 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

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National Science Foundation 19

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.

Specifications & Limits

Letter of Intent Deadline:

Jan 12, 2016 (5pm proposer’s local time)

Full Proposal Deadline:

Feb 25, 2016 (5pm proposer’s local time)

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National Science Foundation 20

FOR FURTHER QUESTIONS CONTACT Fen Zhao, [email protected] 703 292 7344

NSF Headquarters, Arlington VA