McCourt School of Public Policy
Massive Data Institute

Funding Opportunities

Overview

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:

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.

Application Process

Grant Submissions

To apply for either the research seed grant or the data training grant, applicants must submit:

RESEARCH SEED GRANTS
SPECIAL PROJECT GRANTS

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”

“Real-time syndromic surveillance and modeling to inform decision-making for COVID-19”

“Advancing Precision Medicine with E-Health Records & Machine Learning”

“Estimating Violent Deaths Associate with Political Instability”

“Reinterviewing Respondents to Track Change and Measure Reliability”

“Understanding Systematic Exclusions in Public Service Delivery in India”

“The Politics of Individual Data Privacy”

“Forensics in Indian Elections”

“Valuing Public Transit”

Linking Cancer Registry Records with Census Data for Cancer Survivors

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

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

Enabling Analysis of Sensitive Data via Zero-Knowledge Proof

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

Understanding the socio­-environmental drivers of disease transmission among bottlenose dolphins

Harnessing big data to understand the causes and consequences of vaccine refusal for childhood infectious diseases

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

Harnessing big data, mathematical models and visual analytics to gain insights into the spatial dynamics of influenza to better inform policy