Advanced Cyberinfrastructure for Science, Engineering, and Public Policy

Vasant G. Honavar, Katherine Yelick, Klara Nahrstedt, Holly Rushmeier, Jennifer Rexford, Mark D. Hill, Elizabeth Bradley, Elizabeth Mynatt

Research output: Book/ReportCommissioned report

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Abstract

Progress in many domains increasingly benefits from our ability to view the systems through a computational lens, i.e., using computational abstractions of the domains; and our ability to acquire, share, integrate, and analyze disparate types of data. These advances would not be possible without the advanced data and computational cyberinfrastructure and tools for data capture, integration, analysis, modeling, and simulation. However, despite, and perhaps because of, advances in "big data" technologies for data acquisition, management and analytics, the other largely manual, and labor-intensive aspects of the decision making process, e.g., formulating questions, designing studies, organizing, curating, connecting, correlating and integrating crossdomain data, drawing inferences and interpreting results, have become the rate-limiting steps to progress. Advancing the capability and capacity for evidence-based improvements in science, engineering, and public policy requires support for (1) computational abstractions of the relevant domains coupled with computational methods and tools for their analysis, synthesis, simulation, visualization, sharing, and integration; (2) cognitive tools that leverage and extend the reach of human intellect, and partner with humans on all aspects of the activity; (3) nimble and trustworthy data cyber-infrastructures that connect, manage a variety of instruments, multiple interrelated data types and associated metadata, data representations, processes, protocols and workflows; and enforce applicable security and data access and use policies; and (4) organizational and social structures and processes for collaborative and coordinated activity across disciplinary and institutional boundaries.
Original languageUndefined/Unknown
PublisherComputing Community Consortium
StatePublished - Jun 30 2017

Cite this

Honavar, V. G., Yelick, K., Nahrstedt, K., Rushmeier, H., Rexford, J., Hill, M. D., ... Mynatt, E. (2017). Advanced Cyberinfrastructure for Science, Engineering, and Public Policy. Computing Community Consortium.
Honavar, Vasant G. ; Yelick, Katherine ; Nahrstedt, Klara ; Rushmeier, Holly ; Rexford, Jennifer ; Hill, Mark D. ; Bradley, Elizabeth ; Mynatt, Elizabeth. / Advanced Cyberinfrastructure for Science, Engineering, and Public Policy. Computing Community Consortium, 2017.
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Honavar, VG, Yelick, K, Nahrstedt, K, Rushmeier, H, Rexford, J, Hill, MD, Bradley, E & Mynatt, E 2017, Advanced Cyberinfrastructure for Science, Engineering, and Public Policy. Computing Community Consortium.

Advanced Cyberinfrastructure for Science, Engineering, and Public Policy. / Honavar, Vasant G.; Yelick, Katherine; Nahrstedt, Klara; Rushmeier, Holly; Rexford, Jennifer; Hill, Mark D.; Bradley, Elizabeth; Mynatt, Elizabeth.

Computing Community Consortium, 2017.

Research output: Book/ReportCommissioned report

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T1 - Advanced Cyberinfrastructure for Science, Engineering, and Public Policy

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AU - Yelick, Katherine

AU - Nahrstedt, Klara

AU - Rushmeier, Holly

AU - Rexford, Jennifer

AU - Hill, Mark D.

AU - Bradley, Elizabeth

AU - Mynatt, Elizabeth

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AB - Progress in many domains increasingly benefits from our ability to view the systems through a computational lens, i.e., using computational abstractions of the domains; and our ability to acquire, share, integrate, and analyze disparate types of data. These advances would not be possible without the advanced data and computational cyberinfrastructure and tools for data capture, integration, analysis, modeling, and simulation. However, despite, and perhaps because of, advances in "big data" technologies for data acquisition, management and analytics, the other largely manual, and labor-intensive aspects of the decision making process, e.g., formulating questions, designing studies, organizing, curating, connecting, correlating and integrating crossdomain data, drawing inferences and interpreting results, have become the rate-limiting steps to progress. Advancing the capability and capacity for evidence-based improvements in science, engineering, and public policy requires support for (1) computational abstractions of the relevant domains coupled with computational methods and tools for their analysis, synthesis, simulation, visualization, sharing, and integration; (2) cognitive tools that leverage and extend the reach of human intellect, and partner with humans on all aspects of the activity; (3) nimble and trustworthy data cyber-infrastructures that connect, manage a variety of instruments, multiple interrelated data types and associated metadata, data representations, processes, protocols and workflows; and enforce applicable security and data access and use policies; and (4) organizational and social structures and processes for collaborative and coordinated activity across disciplinary and institutional boundaries.

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Honavar VG, Yelick K, Nahrstedt K, Rushmeier H, Rexford J, Hill MD et al. Advanced Cyberinfrastructure for Science, Engineering, and Public Policy. Computing Community Consortium, 2017.