Propelling Original Data Science (PODS) Program
Since 2016, MIDAS has been offering Propelling Original Data Science (PODS) grants to U-M faculty to enable groundbreaking disciplinary and interdisciplinary research through data science and AI, making it possible for research teams to form many new collaborations, formulate groundbreaking ideas, and secure external funding to expand their work.
Grant Opportunities
Funding Trends Discussion Series
Exploring the funding trends and opportunities for data science and AI across a variety of fields.
Center for Data-Driven Drug Development and Treatment Assessment (DATA)
Funding for computational methods, data science solutions, artificial intelligence (AI) and machine learning (ML) techniques in drug design, drug repositioning, drug treatment assessment, patient phenotyping, and quantitative pharmacovigilance
Facilitating Collaborations Across Campus
MIDAS fosters interdisciplinary research collaboration across U-M’s colleges, schools, and units. The visualizations below highlight the number of faculty collaborations on grant proposals since 2018 that MIDAS has facilitated, a number which continues to grow year-over-year. Reach out to midas-research@umich.edu to discuss how MIDAS can help foster connections for your project.
Image credit: Bernardo Modenesi (MIDAS Data Science Fellow), Beth Uberseder (MIDAS Research Manager), and Ken Reid (MIDAS Data Scientist).
College of Engineering
College of LSA
Institute for Social Research
Medical School
School of Information
School of Public Health
Others
Proposal Support
MIDAS supports U-M investigators’ grant proposals in many ways. Please send your inquiry to: midas-research@umich.edu.
For MIDAS facilities and resources, please submit this Google Form to access the boilerplate language.
For a Letter of Support, please include, in your request, a draft abstract of your proposal and whether you seek specific types of support from MIDAS.
MIDAS organizes “red team reviews” for you to receive feedback for your proposal.
MIDAS can connect you with data science collaborators and campus resources.
If a research team needs a staff data scientist to be on the grant proposal, MIDAS will work together with CSCAR (Consulting for Statistics, Computing and Analytics Research) to help identify such personnel.
With a large number of educational offerings and extensive connection with industry, government and community organizations, MIDAS is especially suitable to support education and outreach components of research grant proposals.
Please contact us as early as possible for us to support your proposal. If you have ideas that are not listed above, we are happy to discuss with you.