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Establishing a brain trust for data science

November 2nd, 2015
Establishing a brain trust for data science
A visualization of the ADCIRC Surge Guidance System (ASGS) output for Hurricane Joaquin (2015), advisory number 12, when the storm was considered a potential threat to the North Carolina coast. This ASGS model grid has very high resolution in the North Carolina area, and runs on RENCI high-performance computing systems. Different instances of the forecast system focus on different parts of the US and Gulf of Mexico coasts. The colors show water levels (in feet), with darker reds and oranges depicting higher water levels. The storm's forecast track is also shown, along with the cone of track uncertainty. The simulation is forced by surface winds and atmospheric pressure derived from the National Hurricane Center's consensus forecast track, and the model output is posted to the Nc-Cera.Renci.Org website for dissemination. Credit: RENCI

The ability to access, analyze and draw insights from massive amounts of data already drives innovation in areas ranging from medicine to manufacturing, leading to greater efficiency and a higher quality of life.

To accelerate this emerging field, the National Science Foundation (NSF) today announced four awards totaling more than $5 million to establish regional hubs for data science innovation.

The consortia are coordinated by top data scientists at Columbia University (Northeast Hub), Georgia Institute of Technology and the University of North Carolina (South Hub), the University of Illinois at Urbana-Champaign (Midwest Hub) and the University of California, San Diego, the University of California, Berkeley, and the University of Washington (West Hub).

Covering all 50 states, they include commitments from more than 250 organizations—from universities and cities to foundations and Fortune 500 corporations—with the ability to expand further over time.

"This program represents a unique approach to improving the impact of data science by establishing partnerships among likeminded stakeholders," said Jim Kurose, NSF's assistant director for Computer and Information Science and Engineering, which funds the program. "In doing so, it enables teams of data science researchers to come together with domain experts, with cities and municipalities, and with anchor institutions to establish and grow collaborations that will accelerate progress in a wide range of science and education domains with the potential for great societal benefit."

Building upon the National Big Data Research and Development Initiative announced in 2012, the awards are made through the Big Data Regional Innovation Hubs (BD Hubs) program, which creates a new framework for multi-sector collaborations among academia, industry and government.

The "big data brain trust" assembled by the hubs will conceive, plan and support regional big data partnerships and activities to address regional challenges.

Among the benefits of the program are greater ease in initiating partnerships by reducing coordination costs; creating opportunities for sharing ideas, resources, and best practices; and bringing top talent to address important issues.

Issues the BD Hubs have identified as priorities include:

  • new technologies for big data and data-driven discovery, including in healthcare and local health disparities;
  • management of natural resources and impacts on habitat planning and hazards;
  • precision agriculture and the food, energy and water nexus;
  • education and smart and connected communities;
  • precision medicine;
  • energy, materials and manufacturing; and
  • finance.
Establishing a brain trust for data science
The Big Data Regional Innovation Hubs cover all 50 states and include commitments from more than 250 organizations -- from universities and cities to foundations and Fortune 500 corporations -- with the ability to expand further over time. Credit: NSF

The BD Hubs will be sites for transitioning research into practice. They will also educate and train the next-generation workforce in data science.

The projects from this first phase of the program will help establish the governance structure of the BD Hub consortia, support the recruitment of executive directors and administrative staff for each BD Hub and begin developing approaches for inter­BD Hub collaborations.

In addition, the Computing Community Consortium will sponsor a program for the BD Hubs to bring together academic and industry researchers, including those early in their careers, to facilitate long-term partnerships to promote the goals of each BD Hub.

Support for projects at each BD Hub will come from a variety of sources in addition to NSF's investments.

Big Data Spokes

NSF anticipates awarding $10 million in grants for the next phase of the BD Hubs, called the Big Data Spokes (BD Spokes), contingent upon the availability of funds. The BD Spokes program solicitation aims to help initiate research in specific priority areas identified by the BD Hubs.

Each BD Spoke will focus on a specific BD Hub priority area and address one or more of three key issues: improving access to data, automating the data lifecycle and applying data science techniques to solve domain science problems or demonstrate societal impact.

"The BD Spokes aims to advance the goals and regional priorities of each BD Hub, fusing the strengths of the individual institutions and investigators and applying them to problems that affect communities, populations and groups within the region," Kurose said.

Establishing a brain trust for data science
Researchers are pictured inside the Center for Computational Research, a supercomputing facility supported, in part, by the National Science Foundation at the University at Buffalo, a Big Data Regional Innovation Hub partner. Credit: Douglas Levere, University at Buffalo

(For more information regarding due dates and eligibility requirements, please see the solicitation.)

BD Hubs leadership meeting

The announcement of the BD Hubs awards and BD Spokes solicitation comes days before the first national stakeholders meeting of the BD Hubs, to be held Nov. 3-5 in Arlington, Virginia.

This meeting will allow leaders and researchers representing each BD Hub to discuss governance and sustainability models, coordinate ideas for BD Spokes and identify next steps.

The last day of the meeting, Nov. 5, will include two public webinars.

At the first webinar, BD Hubs representatives will discuss their plans, as well as mechanisms for governance and coordination among BD Hubs stakeholders.

The second webinar will be held in conjunction with the National Data Science Organizer's Workshop. It will discuss the role of BD Hubs in engaging with grassroots data science organizations, such as Meetup groups and non-profits—as well as other data science consortia—as they help the U.S. make the most of the opportunities afforded by big data.

Provided by National Science Foundation

Citation: Establishing a brain trust for data science (2015, November 2) retrieved 6 November 2024 from https://sciencex.com/wire-news/207934059/establishing-a-brain-trust-for-data-science.html
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