Completed
Topics
Featured publication
Workshop
ยท2015
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...
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Description
An ad hoc committee will plan and conduct a public workshop on the subject of training undergraduate and graduate students to extract value from big data. The committee will develop the agenda, select and invite speakers and discussants, and moderate the discussions.The presentations and discussions at the workshop will be designed to enable participants to share experience and perspectives on the following topics:
- What current knowledge and skills are needed by big data users in industry, government, and academia?
- What will students need to know to be successful using big data in the future (5-10 years out)?
- How could curriculum and training evolve to better prepare student for big data at the undergraduate and graduate levels?
- What options exist for providing the necessary interdisciplinary training within typical academic structures?
- What computational and data resources do colleges and universities need in order to provide useful training? What are some options for assembling that infrastructure?
Contributors
Sponsors
National Science Foundation
Staff
Michelle Schwalbe
Lead
Major units and sub-units
Division on Engineering and Physical Sciences
Lead
Board on Mathematical Sciences and Analytics
Lead