The Big Data Interagency Working Group (BD IWG) works to facilitate and further the goals of the White House Big Data R&D Initiative.
The CPS IWG is to coordinate programs, budgets, and policy recommendations for Cyber Physical Systems (CPS) research and development (R&D).
Cyber Security and Information Assurance (CSIA) Interagency Working Group coordinates the activities of the CSIA Program Component Area.
The Health Information Technology Research and Development Interagency Working Group coordinates programs, budgets and policy recommendations for Health IT R&D.
HCI&IM focuses on information interaction, integration, and management research to develop and measure the performance of new technologies.
HCSS R&D supports development of scientific foundations and enabling software and hardware technologies for the engineering, verification and validation, assurance, and certification of complex, networked, distributed computing systems and cyber-physical systems (CPS).
The HEC IWG coordinates the activities of the High End Computing (HEC) Infrastructure and Applications (I&A) and HEC Research and Development (R&D) Program Component Areas (PCAs).
LSN members coordinate Federal agency networking R&D in leading-edge networking technologies, services, and enhanced performance.
The purpose of the SPSQ IWG is to coordinate the R&D efforts across agencies that transform the frontiers of software science and engineering and to identify R&D areas in need of development that span the science and the technology of software creation and sustainment.
Formed to ensure and maximize successful coordination and collaboration across the Federal government in the important and growing area of video and image analytics
The Wireless Spectrum R&D (WSRD) Interagency Working Group (IWG) has been formed to coordinate spectrum-related research and development activities across the Federal government.
NITRD -> NITRD Groups -> FASTER CoP
"Creating New Sources of Data and Embedded Systems to Understand Cities"
Senior Computer Scientist, Argonne National Laboratory
Senior Fellow, Argonne/University of Chicago Computation Institute
Senior Fellow, Harris School of Public Policy, University of Chicago
(presented at FASTER CoP on February 17, 2017)
Charlie Catlett is a Senior Computer Scientist at Argonne National Laboratory, a Senior Fellow at the Argonne/University of Chicago Computation Institute, and a Senior Fellow at the Harris School of Public Policy at the University of Chicago.
Charlie founded the Urban Center for Computation and Data (UrbanCCD), an interdisciplinary center focused on developing methods and platforms for understanding cities. He leads the NSF-funded Array of Things project, establishing a network of 500 intelligent sensor units in Chicago.
Government Technology magazine named Charlie one of 25 “Doers, Dreamers & Drivers” of 2016 and in 2014 Crain’s Chicago Business recognized him as one of Chicago’s “Tech 50” technology leaders. Charlie is a Computer Engineering graduate of the University of Illinois at Urbana-Champaign.
Urbanization is one of the great challenges and opportunities of this century, inextricably tied to global challenges ranging from climate change to sustainable use of energy and natural resources, and from personal health and safety to accelerating innovation and education. There is a growing science community—spanning nearly every discipline—pursuing research related to these challenges.
The availability of urban data has increased over the past few years, in particular through open data initiatives, creating new opportunities for collaboration between academia and local government in areas ranging from scalable data infrastructure to tools for data analytics, along with challenges such as replicability of solutions between cities, integrating and validating data for scientific investigation, and protecting privacy.
For many urban questions, however, new data sources will be required with greater spatial and/or temporal resolution, driving innovation in the use of sensors in mobile devices as well as embedding intelligent sensing infrastructure in the built environment. Collectively these data sources also hold promise to begin to integrate computational models associated with individual urban sectors such as transportation, building energy use, or climate.
Catlett will discuss the work that Argonne National Laboratory and the University of Chicago are doing in partnership with the City of Chicago and other cities through the Urban Center for Computation and Data, focusing in particular on new opportunities related to embedded systems and integrated data platforms.
Video Link: https://youtu.be/b03XYkgpnuM