[Rdap] FW: Partner to build the data science community in the Midwest

[O'Donnell, Megan N [LIB]]

A funding opportunities for "big data" work in the Midwest. The CFP includes some good idea prompts such as:

  *   Development of curricula or best practices for online data science education to address workforce development opportunities, particularly for non-traditional students.
  *   Efforts to extend data science training and workforce development to non-traditional students, such as local government employees and community organizations such as non-profits, or to members of under-represented groups.
  *   Activities around research data management topics, such as developing data sharing agreements, data quality standards and best practices, or use cases for interdisciplinary data collaboration.

Megan O'Donnell Data Services Librarian
Ent, NREM, Plant Path, and Environment Librarian
she/her/hers
[Inline image 1]
University Library
mno at iastate.edu

From: mbdh-digiag-bounces at iastate.edu <mbdh-digiag-bounces at iastate.edu> On Behalf Of Bramow, Karen M [VPR]
Sent: Thursday, June 25, 2020 1:18 PM
To: mbdh-digiag at iastate.edu
Subject: Partner to build the data science community in the Midwest

Submissions are now open for our Community Development and Engagement funding opportunities!  Partner to build the data science community in the Midwest. Join the program overview webinar on 6/30 @ 3pm CT.  Proposals due by July 24. Details: http://midwestbigdatahub.org/cde/<https://t.co/tG1jEDTi3S?amp=1>

Proposals are invited for collaborative activities that will further develop the MBDH community in at least one of the Hub's five Priority Areas and / or one of the Hub's cross-cutting theme areas of Data Science Education and Cyberinfrastructure:

  1.  Water Quality<http://midwestbigdatahub.org/water-quality/>
  2.  Smart, Connected, and Resilient Communities<http://midwestbigdatahub.org/connected-communities/>
  3.  Advanced Materials and Manufacturing<http://midwestbigdatahub.org/materials-and-manufacturing/>
  4.  Health and Biomedicine<http://midwestbigdatahub.org/big-data-in-health/>
  5.  Digital Agriculture<http://midwestbigdatahub.org/digital-agriculture/>

Particularly encouraged are activities that bring together partners from academia, industry, government, and NGOs / not-for-profit organizations, and that introduce new partners to data science, including historically underrepresented groups.

Individual investigator research projects are outside the scope of this call.

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