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Project Information

THREE NEW DIMACS SPECIAL FOCUS PROGRAMS

Agency:
NSF

National Science Foundation

Project Number:
1144502
Contact PI / Project Leader:
WRIGHT, REBECCA N
Awardee Organization:
RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK

Description

Abstract Text:
DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science, has a long history of bringing together groups of researchers with different interests and backgrounds, to study and advance the state of the art in discrete mathematics, theoretical computer science, statistics, operations research, and related areas, as well as their applications in a wide variety of domains including telecommunications, homeland security, the physical sciences, engineering, and public health. DIMACS's signature activity is a "special focus" (SF), a multi-year program of coordinated activities involving hundreds of diverse participants and addressing a broad, important topic that is poised for rapid advancement and has high potential for scientific, industrial, and societal impact. The project consists of the following three interacting SFs:

1). Information Sharing and Dynamic Data Analysis: The ability to instrument, monitor and collect data provides huge potential to improve life: designing better systems, better managing interactions between large complex systems, identifying subtle problems and bad outcomes. More work is needed to realize systems that span multiple, diverse, noisy data sources and use them to correctly draw conclusions and make decisions. The SF addresses data preparation and quality, privacy and security, continual and distributed processing, and fusion and inference, exploring applications in areas including web search engines and online social networks, healthcare, urban planning and traffic management, and homeland security.

2). Algorithms and Energy: It has become a major national and global priority to maintain a robust supply of energy that meets the demands of a growing economy and balances costs and environmental constraints. Themes of the SF are multiscale temporal models, multiscale spatial models, risk and reliability measures, data representation and model sharing, and stochastic optimization that can contribute to our ability to analyze new dynamic energy pricing algorithms, optimize investments in energy generation, storage and transmission, manage a dynamic new power grid, and analyze plans and protocols for electric vehicles and green information technology.

3). Cybersecurity: New emerging networks and applications raise more than ever the challenge to provide security and privacy in a world where everything is connected via wired or wireless networks. SF themes address critical infrastructure systems such as the power grid, applications with a high societal, industrial and governmental impact such as the changing landscape of cyber attacks, mechanisms for identity management, security for new paradigms like cloud computing, and fundamental studies such as cryptography, information
theory, and coding theory.

These three SFs will lead to a great deal of research activity, including significant new scientific accomplishments and significant new directions of scientific research. The project has significant potential benefit to society: improved capabilities to handle diverse, dynamic data in turn enables advances in medicine, homeland security, commerce, and other areas; improving and diversifying the energy infrastructure helps maintain affordable access to energy while mitigating the environmental costs of doing so; and improvements in cybersecurity are needed to ensure that we can justifiably rely on systems we use throughout our daily lives. The project also enhances educational programs for students and faculty from K-12 to graduate students.
Project Terms:
Address; Algorithms; Area; Arts; Code; Commerce; Complex; computer science; cost; cryptography; Data; Data Analyses; Data Sources; Decision Making; design; Energy Supply; Engineering; Ensure; Equilibrium; Faculty; Generations; graduate student; Healthcare; improved; Information Technology; instrument; interest; Internet; Investments; Lead; Life; Mathematics; Measures; Medicine; meetings; Modeling; Monitor; multi-scale modeling; Operations Research; Outcome; Participant; physical science; Preparation; Price; Privacy; Process; programs; Protocols documentation; Recording of previous events; Research; Research Activity; Research Infrastructure; Research Personnel; Risk; Scientific Advances and Accomplishments; Security; social networking website; Societies; statistics; Students; System; Telecommunications; theories; trafficking; transmission process; web-based social networking; wireless network; Work

Details

Contact PI / Project Leader Information:
Name:  WRIGHT, REBECCA N
Other PI Information:
ROBERTS, FRED
Awardee Organization:
Name:  RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK
City:  NEW BRUNSWICK    
Country:  UNITED STATES
Congressional District:
State Code:  NJ
District:  06
Other Information:
Fiscal Year: 2011
Award Notice Date: 23-Aug-2011
DUNS Number: 001912864
Project Start Date: 01-Sep-2011
Budget Start Date:
CFDA Code: 47.070
Project End Date: 31-Aug-2015
Budget End Date:
Agency: ?

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

National Science Foundation
Project Funding Information for 2011:
Year Agency

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

FY Total Cost
2011 NSF

National Science Foundation

$698,995

Results

i

It is important to recognize, and consider in any interpretation of Federal RePORTER data, that the publication and patent information cannot be associated with any particular year of a research project. The lag between research being conducted and the availability of its results in a publication or patent award varies substantially. For that reason, it's difficult, if not impossible, to associate a publication or patent with any specific year of the project. Likewise, it is not possible to associate a publication or patent with any particular supplement to a research project or a particular subproject of a multi-project grant.

ABOUT FEDERAL REPORTER RESULTS

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