Search Results
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Frontiers in Massive Data Analysis
by National Research Council • Division on Engineering and Physical Sciences • Board on Mathematical Sciences And Their Applications • Committee on Applied and Theoretical Statistics • Committee on the Analysis of Massive DataData mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but ... More
Language: ENGCopyright: 2013 -
Applying Big Data to Address the Social Determinants of Health in Oncology: Proceedings Of A Workshop
by Board on Health Care Services • Division on Engineering and Physical Sciences • National Cancer Policy Forum • Committee on Applied and Theoretical Statistics • National Academies of Sciences, Engineering, and Medicine • Health and Medicine DivisionThe National Academies of Sciences, Engineering, and Medicine held the workshop Applying Big Data to Address the Social Determinants of Health in Oncology on October 28–29, 2019, in Washington, DC. This workshop examined social determinants of health (SDOH) in the context of cancer, and considered o... More
Language: ENGCopyright: 2020 -
Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
by Committee on National Statistics • Computer Science and Telecommunications Board • Division on Engineering and Physical Sciences • Policy and Global Affairs • Division of Behavioral and Social Sciences and Education • Board on Higher Education and Workforce • Air Force Studies Board • Committee on Applied and Theoretical Statistics • Board on Mathematical Sciences and Analytics • Committee on Improving Defense Acquisition Workforce Capability in Data UseThe effective use of data science - the science and technology of extracting value from data - improves, enhances, and strengthens acquisition decision-making and outcomes. Using data science to support decision making is not new to the defense acquisition community; its use by the acquisition workf... More
Language: ENGCopyright: 2021 -
Life-Cycle Decisions for Biomedical Data: The Challenge Of Forecasting Costs
by Computer Science and Telecommunications Board • Division on Engineering and Physical Sciences • Policy and Global Affairs • Division on Earth and Life Studies • Board on Life Sciences • Committee on Applied and Theoretical Statistics • National Academies of Sciences, Engineering, and Medicine • Board on Mathematical Sciences and Analytics • Board on Research Data and Information • Committee on Forecasting Costs for Preserving and Promoting Access to Biomedical DataBiomedical research results in the collection and storage of increasingly large and complex data sets. Preserving those data so that they are discoverable, accessible, and interpretable accelerates scientific discovery and improves health outcomes, but requires that researchers, data curators, and d... More
Language: ENGCopyright: 2020 -
Automated Research Workflows for Accelerated Discovery: Closing The Knowledge Discovery Loop
by Computer Science and Telecommunications Board • Division on Engineering and Physical Sciences • Policy and Global Affairs • Committee on Applied and Theoretical Statistics • National Academies of Sciences, Engineering, and Medicine • Board on Mathematical Sciences and Analytics • Board on Research Data and Information • Committee on Realizing Opportunities for Advanced and Automated Workflows in Scientific ResearchThe needs and demands placed on science to address a range of urgent problems are growing. The world is faced with complex, interrelated challenges in which the way forward lies hidden or dispersed across disciplines and organizations. For centuries, scientific research has progressed through iterat... More
Language: ENGCopyright: 2022 -
Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights
by Computer Science and Telecommunications Board • Division on Engineering and Physical Sciences • Division of Behavioral and Social Sciences and Education • Board on Science Education • Committee on Applied and Theoretical Statistics • National Academies of Sciences, Engineering, and Medicine • Board on Mathematical Sciences and AnalyticsEstablished in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, re... More
Language: ENGCopyright: 2020 -
STATISTICAL ANALYSIS OF MASSIVE DATA STREAMS: Proceedings of a Workshop
Massive data streams—large quantities of data that arrive continuously—are becoming increasingly commonplace in many areas of science and technology. Consequently development of analytical methods for such streams is of growing importance. To address this issue, the National Security Age... More
Language: ENGCopyright: 2004 -
Training Students to Extract Value from Big Data: Summary of a Workshop
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant ... More
Language: ENGCopyright: 2014