Project: Supporting Student Success in Environmental Data Science at Minority Serving Institutions

In 2021, EDSIN network organizations (Native BioData Consortium, Atlanta University Center Data Science Initiative, The RIOS Institute - formerly SCORE-UBE Network, The Carpentries, National Ecological Observation Network, Center for Scientific Collaboration and Community Engagement, Sara Bolduc Planning and Evaluation), led by the Academic Data Science Alliance, received funding from the National Science Foundation to convene current and past faculty of Tribal Colleges and Universities (TCUs) and Historically Black Colleges and Universities (HBCUs) to examine student success in environmental data science at these institutions. We are in the process of finalizing the first draft of an Exploratory Report summarizing the strengths, opportunities, and aspirations identified by the working group members through a series of meetings and workshops. We would now like to hear from you to finalize the first draft of this report!   

Do you have knowledge or expertise regarding what accounts for student success in data science at TCUs and HBCUs?  

We have created this feedback form to provide the broader community a voice to weigh-in on identifying the assets and collaborative activities that support environmental data science education, or any data science field. 

The form is organized into 4 Sections and will take no more than 15 minutes to complete. The form will not collect any names, emails, or any individually identifiable demographic information. This feedback is limited to informing the final Exploratory Report and will be available to the public on this website. Please submit your responses by September 15. 

If you have any questions about the project or the form, please contact Dr. Micaela Parker, the project PI, at micaela@academicdatascience.org.

This project is based upon work supported by the National Science Foundation under Grant DUE-2135830. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.