Tag Archive | Cyberinfrastructure

Administration Efforts to Address Big Data Science and Engineering

October 24, 2012

Suzanne Iacono, deputy assistant director of the National Science Foundation’s Directorate for Computer and Information Science and Engineering will be featured on an InformationWeek Government Webcast, “Act on Big Data,” on Thursday, Oct. 25, 2012 at 2 p.m. ET.

Iacono, who also serves as vice chair of the Big Data Senior Steering Group of the interagency Networking and Information Technology Research and Development (NITRD) Program, will be part of a panel of experts during the webcast. In that role she will provide an update on the Obama administration’s Big Data Initiative.

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NSF Issues IGERT Solicitation Focused on Big Data

Logo of the National Science Foundation (NSF)....

Logo of the National Science Foundation (NSF). For NSF logo information visit: http://www.nsf.gov/policies/logos.jsp (Photo credit: Wikipedia)

by Erwin Gianchandi, the Computing Community Consortium blog, April 23, 2012

The National Science Foundation (NSF) last week issued a new solicitation under its Integrative Graduate Education and Research Traineeship (IGERT) program, providing a specific track for training the next generation of researchers in computational and data-enabled science and engineering. The solicitation is part of the Foundation’s (and Administration’s) Big Data Initiative, which was announced last month.

According to the new solicitation (emphasis added):

“Building upon the IGERT platform, the purpose of this IGERT solicitation is to support new models in graduate education in which students are engaged in an environment that supports innovation to learn through hands-on experience how their own research may contribute in new ways to benefit society and to learn the processes for the successful implementation of such contributions.

Within the Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) and IGERT, NSF recognizes the need to educate and support a next generation of researchers able to address fundamental challenges in 1) core techniques and technologies for advancing big data science and engineering; 2) analyzing and dealing with challenging computational and data enabled science and engineering (CDS&E) problems, and 3) researching, providing, and using the cyberinfrastructure that makes cutting-edge CDS&E research possible in any and all disciplines.

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The emergence of spatial cyberinfrastructure

Dawn J. Wrighta, Department of Geosciences, Oregon State University, and

Shaowen Wang, Department of Geography and National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL.

doi: 10.1073/pnas.1103051108 Proceedings of the National Academy of Sciences April 5, 2011 vol. 108 no. 14 5488-5491

Abstract: Cyberinfrastructure integrates advanced computer, information, and communication technologies to empower computation-based and data-driven scientific practice and improve the synthesis and analysis of scientific data in a collaborative and shared fashion. As such, it now represents a paradigm shift in scientific research that has facilitated easy access to computational utilities and streamlined collaboration across distance and disciplines, thereby enabling scientific breakthroughs to be reached more quickly and efficiently. Spatial cyberinfrastructure seeks to resolve longstanding complex problems of handling and analyzing massive and heterogeneous spatial datasets as well as the necessity and benefits of sharing spatial data flexibly and securely. This article provides an overview and potential future directions of spatial cyberinfrastructure. The remaining four articles of the special feature are introduced and situated in the context of providing empirical examples of how spatial cyberinfrastructure is extending and enhancing scientific practice for improved synthesis and analysis of both physical and social science data. The primary focus of the articles is spatial analyses using distributed and high-performance computing, sensor networks, and other advanced information technology capabilities to transform massive spatial datasets into insights and knowledge.

via The emergence of spatial cyberinfrastructure.

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