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Webcast on March 20: Meeting #2 of the Roundtable on Data Science Post-Secondary Education

The National Academies of Sciences, Engineering, and Medicine invite you to attend a one-day webcast on March 20 from 9am-4pm PST on data science post-secondary education. This meeting will bring together data scientists and educators to discuss how to define and strengthen existing data science programs and how to best engage and retain data science students. For more information, visit the event website or download the preliminary program.

During the event, we encourage webcast participants to send questions for the speakers to Ben Wender at bwender@nas.edu, who will read them out if time permits.
 
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Frontiers in Massive Data Analysis

Data 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 ...

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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 ...

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Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions

The Office of the Under Secretary of Defense (Personnel & Readiness), referred to throughout this report as P&R, is responsible for the total force management of all Department of Defense (DoD) components including the recruitment, readiness, and ...

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Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop

The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify ...

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Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop—in Brief

Big Data – broadly considered as datasets whose size, complexity, and heterogeneity preclude conventional approaches to storage and analysis – continues to generate interest across many scientific domains in both the public and private ...

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