On December 6th, 2023, the Massive Data Institute of the McCourt School of Public Policy will host the MDI Scholars Research Showcase Fall 2023. MDI Scholars will present their research in the Healey Family Student Center Social Room at Georgetown University from 1:00-2:20 pm, followed by a reception from 2:20-3:00 pm.
The event begins with formal remarks, followed by student project teams presenting “flash talks” — a 60-second summary of their research. After the flash talks, MDI Scholars project teams will present their research posters.
Accommodations: This event is wheelchair accessible . Accommodation requests related to a disability should be made by November 29, 2023 to Khai Booker at mdiresearch@georgetown.edu. A good faith effort will be made to fulfill requests made after November 29th.
About the MDI Scholars Program: The MDI Scholars program is an experiential learning opportunity for undergraduate and Master’s students to work on interdisciplinary research projects with professors and practitioners. These projects connect new forms of data and/or large-scale computing infrastructure to different public policy questions.
About the Massive Data Institute (MDI): MDI is an interdisciplinary research institute that connects experts across computer science, data science, public health, public policy, and social science to tackle societal scale issues and impact public policy in a way that improves people’s lives through responsible evidence-based research.
MDI Scholar Research Showcase Poster Titles
(poster titles subject to change; draft titles as of November 17th, 2023)
An Ethnographic Look at Racism and Misrepresentation on Social Media – Online Perception
Xinyu Li, Georgetown School of Arts & Sciences, Data Science and Analytics ’24
Collaborator(s): Dr. Lisa Singh
Building A Data Collection Protocol to Preserve Privacy
Jamie Spoeri, Georgetown College, Computer Science ’25
Jason Yi, Georgetown College, Computer Science ’26
Collaborator(s): Dr. Harel Berger, Dr. Micah Sherr, Dr. Lisa Singh, Jianan Su
Can ChatGPT unveil politicians’ ideologies?
Zhiqiang Ji, McCourt School of Public Policy, Data Science for Public Policy ’24
Collaborator(s): Dr. Michael Bailey
DistrictView: Constructing a Large-Scale Database of U.S. School Board Meeting Transcripts
Corrina Calanoc, Georgetown School of Arts & Sciences, Data Science and Analytics ’24
Maggie Sullivan, McCourt School of Public Policy, Data Science for Public Policy ’24
Collaborator(s): Dr. Rebecca A. Johnson
Education Finance ETL Data Pipelines
Andrew Lee, Walsh School of Foreign Service, Science, Technology, International Affairs ’24
Collaborator(s): Dr. Marguerite Roza
Partner Organization(s): Edunomics Lab
How can we identify data on Head Start locations to help the NHSA improve school readiness for children and families?
Amanda Hao, Walsh School of Foreign Service, Science, Technology, International Affairs ’26
Collaborator(s): Dr. Amy O’Hara, Gabriel Taylor
Partner Organization(s): National Head Start Association
J40 Geolocator Tool
Madhvi Malhotra, McCourt School of Public Policy, Data Science for Public Policy ’24
Minh Quach, McCourt School of Public Policy, Data Science for Public Policy ’24
Fanni Varhelyi, McCourt School of Public Policy, Data Science for Public Policy ’24
Collaborator(s): Dr. Michael Bailey
Partner Organization(s): J40 open source community and EPIC
Predicting progress toward DC’s Net Zero goals
Himangshu Kumar, McCourt School of Public Policy, Data Science for Public Policy ’24
Anthony Moubarak, Georgetown School of Arts & Sciences, Data Science and Analytics ’24
Collaborator(s): Dr. Michael Bailey, Ahmed Eissa, Xinyu Zheng
Partner Organization(s): EPIC, Atlas Public Policy, DC DOEE
Sentiment vs. Emotion Signaling for Forced Migration
Kate Liggio, Georgetown College, Computer Science ’24
Rich Pihlstrom, McCourt School of Public Policy, Data Science Science and Analytics ’25 Georgetown College, Computer Science ’24
Bernardo Medeiros, Georgetown College, Computer Science & Government ’24
Collaborator(s): Dr. Helge Marahrens, Dr. Lisa Singh, Dr. Nathan Wycoff
Partner Organization(s): REU
Text Analysis of Coal Mining Accidents
Brian Holland, McCourt School of Public Policy, Data Science for Public Policy ’24
Collaborator(s): Dr. Robin Dillon-Merrill
Toxic Emissions and Environmental Equity
Raunak Advani, Georgetown School of Arts & Sciences, Data Science and Analytics ’24
Collaborator(s): Dr. Le Bao
Tracking Cross-National Score Trajectory in PISA with Dynamic Time Warping Methods
Kefan Yu, Georgetown School of Arts & Sciences, Data Science and Analytics ’24
Collaborator(s): Dr. Qiwei Britt He
Trend of Age Distribution of 15 Federal Executive Agencies
Haiyang Chen, McCourt School of Public Policy, Data Science for Public Policy ’24
Linlin Wang, Georgetown School of Arts & Sciences, Data Science and Analytics ’24
Collaborator(s): Dr. Mark Richardson, Benjamin Reese
Title forthcoming
Roy Hwang, Georgetown College, Computer Science ’25
Julia Nonnenkamp, Georgetown College, Computer Science & Mathematics ’24
Collaborator(s): Dr. Elissa Redmiles, Dr. Lisa Singh, Dr. Ioannis Ziogas
Partner Organization(s): GU Law Center
Title forthcoming
Alicia Gopal, Georgetown College, Political Economy ’25
Collaborator(s): Dr. Amy O’Hara, Dr. Nathan Wycoff
Transportation: Georgetown University is accessible for faculty, staff, students and visitors through many convenient transportation options, including our free university shuttle, public transportation, bicycling, carsharing and other means. Learn more about transportation options here . See here interactive map or here PDF for a Georgetown University campus map.
Taxi / Ridesharing: The recommended drop-off location is at the front gates of campus. Please inform your driver that your destination is Georgetown University or use the address 3700 O St. NW, Washington, DC 20057. Additional information on taxi / ride sharing is available here.
Visitor Parking: If you decide to drive to campus, please note there is construction happening on campus on the north side of campus. Visitor parking is available at Southwest Garage (Use 3611 Canal Road as the address for directions using GPS). Additional information on visitor parking is available here .