As the Computational Education Consortium, we are preparing an NSF proposal for Research Coordination Networks in Undergraduate Biology Education (RCN-UBE) https://www.nsf.gov/pubs/2018/nsf18510/nsf18510.htm
The title of our proposal is: Computational education consortium: Big data analysis techniques for reproducibility and transparency in life sciences
The PI of this grant proposal is Serghei Mangul, a faculty at the University of Southern California interested in developing novel teaching approaches to teach data science to non-computational students. More information about my lab is available here: http://www.sergheimangul.com/
CO-PIs are (CC here):
Melanie Melendrez, faculty at Anoka-Ramsey Community College
Keith A. Crandall, faculty at George Washington University
Stacey Finley, faculty at University of Southern California
David Koslicki, faculty at Penn State University
A one-page summary of our proposal is available here: https://docs.google.com/document/d/18-sS2aOpF8BhALVqMew3qN96lUeULvGvFWY8mmHHg4c/edit?usp=sharing
We are planning to assemble a Computational Education Consortium to teach faculties and students of the Community Colleagues how to use state-of-the-art computational tools for big data analysis and visualization.
We hope to collaborate with you on this project.
We offer several types of participation. Please let us know which one is more suitable for you:
Be part of the Steering Committee (Assessment Committee, Infrastructure Committee, Curricular Committee, Faculty Training Committee)
Be part of the External Advisory Board
Be part of Network and participate in the workshop and teaching activities
Help distribute information about planned teaching activities among faculties and students at your institution
If you agree to participate, we would need a letter of collaboration. According to NSF rules, the letter of collaboration should be the exact text below on the official letterhead: If the proposal submitted by Dr. Mangul entitled "Computational education consortium: Big data analysis techniques for reproducibility and transparency in life sciences" is selected for funding by the NSF, it is my intent to collaborate and/or commit resources as detailed in the Project Description.
We plan to provide financial compensation for your effort.
Serghei (and Mel)