The Massive Data Institute (MDI) at the McCourt School of Public Policy is accepting applications for research seed grants and data training grants. Descriptions of the grants can be found below. The deadline to apply has passed. Please be sure to check back for future opportunities.
Research Seed Grants: Up to three grants of up to $40,000 will be awarded. These grants will be evaluated in terms of:
- Potential to generate external funding
- Use of data science tools
- Extent of interdisciplinary collaboration
- Quality of research proposal
Proposals must include a convening that brings together Georgetown and external scholars. The convening will typically be in the $5,000 range.
All projects must involve at least one full-time Georgetown researcher or faculty member. We cannot provide summer or other direct support to non-Georgetown researchers.
Special project grants: Up to five grants will be awarded for special projects that advance MDI goals of building a strong data science community at Georgetown. Such proposals could range from covering costs to attending data science training to covering a data set that would be used by multiple Georgetown scholars to even large scale new research projects. For proposals beyond training, we recommend contacting MDI with a broad overview first in order to ascertain if your project would fall into the scope of MDI special project grants.
The special projects grants can cover the cost of workshop and travel-related expenses; they should not cover paper presentations, conferences, or tutorials at conferences.
To apply for either the research seed grant or the data training grant, applicants must submit:
RESEARCH SEED GRANTS
- A research seed grant cover sheet (new window) (.pdf).
- A project proposal of no more than 3 pages that includes:
- Project goals and objectives
- Research methods
- Budget and budget justification
- Information on the external funding sources for which you intend to apply
- A proposed budget of no more than $40,000
- Allowable expenses are up to $10,000 in summer salary support per PI as well as funds for research assistants and data acquisition or travel expenses.
SPECIAL PROJECT GRANTS
- For data science training grants, please explain in 1 page the workshop and how it fits into a research agenda that will strengthen data science at Georgetown. Include the workshop name, purpose, location and costs.
- For other special projects, please send an initial query to MDI to assess if and how the project would advance the goals of MDI.
The deadline for these applications is April 24, 2020. All applications should be submitted via email as a single PDF, including affiliated cover sheets and project/workshop proposals to MDI with “MDI Research/Data Training Grant Application” and the primary PI’s last name in the subject line.
PREVIOUSLY AWARDED SEED GRANTS
“Distribution in Private Data Analysis”
- Kobbi Nissim, PhD, Department of Computer Science
“Real-time syndromic surveillance and modeling to inform decision-making for COVID-19”
- Shweta Bansal, PhD, Department of Biology
“Advancing Precision Medicine with E-Health Records & Machine Learning”
- Benjamin Daniels, gui2de
“Estimating Violent Deaths Associate with Political Instability”
- Eric Dunford, PhD, McCourt School of Public Policy
“Reinterviewing Respondents to Track Change and Measure Reliability”
- Jonathan Ladd, PhD, McCourt School of Public Policy
“Understanding Systematic Exclusions in Public Service Delivery in India”
- Rajesh Veeraraghavan, PhD, School of Foreign Service
“The Politics of Individual Data Privacy”
“Forensics in Indian Elections”
- Joel Simmons, PhD, School of Foreign Service
“Valuing Public Transit”
- Becka Brolinson, Ph.D. Candidate in Economics at Georgetown University
“Linking Cancer Registry Records with Census Data for Cancer Survivors”
- Jean Mitchell (new window), PhD, McCourt School of Public Policy
- Thomas Deleire, PhD, McCourt School of Public Policy
“Landlords, Housing Vouchers, and Neighborhood Rise and Decline”
- Eva Rosen, PhD, McCourt School of Public Policy
“Digital Urban Observatory: Mapping Unequal Access to Public Services”
- Rajesh Veeraraghavan, PhD, Science, Technology, and International Affairs at the Walsh School of Foreign Service
“Environmental Benefits of Energy Efficient Appliances”
- Arik Levinson, PhD, Department of Economics
“Global Governance Lab”
- Erik Voeten, PhD, Walsh School of Foreign Service and Department of Government
- Michael Bailey, PhD, Department of Government and McCourt School of Public Policy
“The Seattle Voucher Experiment: Using Big Data to Enhance Local Democracy”
- Brian McCabe, PhD, Department of Sociology
“Enabling Analysis of Sensitive Data via Zero-Knowledge Proof”
- Justin Thaler, PhD, Department of Computer Science
“Government Guarantees, Credit Risk, and Natural Catastrophe”
- Pedro Gete, PhD, IE Business School (formally Department of Economics)
“Cyber-infrastructure to support environmental research at Georgetown”
- Lisa Ries, PhD, Department of Biology
“Understanding the socio-environmental drivers of disease transmission among bottlenose dolphins”
- Shweta Bansal (new window), PhD, Department of Biology
- Eric Patterson, PhD, Department of Biology
- Lisa Singh (new window), PhD, Computer Science Department
- Janet Mann (new window), PhD, Vice Provost for Research; Department of Biology & Department of Psychology
“Harnessing big data to understand the causes and consequences of vaccine refusal for childhood infectious diseases”
- Shweta Bansal (new window), PhD, Department of Biology
- Stacey Kaltman (new window), PhD, Department of Psychiatry, GUMC
- Rochelle Tractenberg (new window), PhD, Departments of Neurology & Biostatistics, Bioinformatics, Biomathematics, GUMC
“Linking the Consumer Credit Panel Survey to Medicare Claims”
“A Big Data Analysis Framework for Investigating the Adoption of Personalized Medicine within the US Healthcare System”
- Subha Madhavan (new window), PhD, Innovation Center for Biomedical Informatics, GUMC
- Kevin Lucia (new window), JD, Center on Health Insurance Reforms
- Alex Fu (new window), PhD, Lombardi Comprehensive Cancer Center, GUMC
- David Cusano (new window), JD, Health Policy Institute
- JoAnn Volk (new window), MA, Center on Health Insurance Reforms
- Matt Johnson (new window), MS, Innovation Center for Biomedical Informatics, GUMC
“Harnessing big data, mathematical models and visual analytics to gain insights into the spatial dynamics of influenza to better inform policy”