Research Projects

Funder: Other Non-Federal

Testbed for the Redlining Archives of California’s Exclusionary Spaces (T-RACES)
Principal Investigator(s): Richard Marciano
Funder: Unfunded Other Non-Federal
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Library and Information Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Making publicly accessible online documents relating to the practice of “redlining” neighborhoods in the 1930s and 1940s in eight California cities. “Redlining” refers to the practice of flagging minority neighborhoods as undesirable for home loans. The project creates a searchable database and interactive map interface.
Measuring the Impact of Urban Renewal
Principal Investigator(s): Richard Marciano
Funder: Unfunded Other Non-Federal
Research Areas: Archival Science > Data Science, Analytics, and Visualization
This is a case study focusing on the legacy of urban renewal in Asheville, North Carolina between 1965 and 1980, when housing policies were enacted that ultimately displaced and erased African American businesses and communities with traumatic and lasting effects. The study focuses on designing new access interfaces to tell human stories. Ongoing results were presented to the Racial Reparations Commission of the City of Asheville on May 20, 2023.
Machine Learning Strategies for FDR Presidential Library Collections (ML-FDR)
Principal Investigator(s): Richard Marciano
Funder: Unfunded Other Non-Federal
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Demonstrate computational treatments of digital cultural assets using Artificial Intelligence (AI) and Machine Learning (ML) techniques that can help unlock hard-to-reach archival content related to WWII-era records housed at the FDR Presidential Library. This content is under-utilized by scholars examining American responses to the Holocaust.
Professor of the Practice
Principal Investigator(s): Jason R. Baron Douglas W. Oard
Funder: Unfunded Other Non-Federal
Research Areas: Archival Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Memorandum of Understanding With MITRE Corporation. Collaborative research on methods of artificial intelligence used to improve administration of the Freedom of Information Act.
E-Verify: Modernizing NCSES Data Collection Approaches (Year 2)
Principal Investigator(s):
Funder: University of Michigan Other Non-Federal

A Leaderboard and Competition for Human–Computer Adversarial QA
Principal Investigator(s): Jordan Boyd-Graber
Funder: Meta Platforms fka Facebook Other Non-Federal

M3I – Maps, Models, and Metrics for Influence Efforts by State/Non-State Actors
Principal Investigator(s): Cody Buntain
Funder: DOD-DARPA-Defense Advanced Research Projects Agency Other Non-Federal

Coupled Statistics-Physics Guided Learning to Harness Hetergeneous Earth Data at Large Scales
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization
This project is funded by NASA's Advanced Information Systems and Technology (AIST) program. It aims to advance machine learning for Earth Science problems. Specifically, we will develop new technologies that address two major challenges facing machine learning for broad Earth Science applications—spatial heterogeneity, where satellite observations and their relationships to the prediction targets vary over space, and the limited and highly localized nature of ground-truth data that are needed to train the algorithms.
Mitigating online COVID misinformation costs: From individual to field interventions
Principal Investigator(s): Giovanni Luca Ciampaglia
Funder: Social Science Research Council Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization > Social Networks, Online Communities, and Social Media
This project will conduct one of the most systematic tests to date of the welfare effects of altering information environments by decreasing exposure to untrustworthy sources. Researchers will encourage social media users to change the composition of the accounts they follow and measure the effect of this intervention on real-world behavior. This design will provide a building block for future research on the effects of online information exposure on offline behavior.
An Assessment of Pretrial Risk across Maryland Jurisdictions using Client Legal Utility Enging (CLUE) Data
Principal Investigator(s): Zubin Jelveh
Funder: STMD-Governor's Office of Crime Control & Prevention Other Non-Federal
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics
With funding from the Maryland Governor's Office of Crime Control and Prevention, the project aims to understand why pretrial detention decisions are made and whether they align with the risk posed by defendants. By analyzing a large dataset of criminal cases, the team will investigate the predictability of pretrial risk and the court's decision-making. The research will provide insights to improve policy and practice, reducing unnecessary detention while ensuring public safety.
Spectrum Doctoral Fellowship Program: Catalysts for Change
Principal Investigator(s): Eun Kyoung Choe Renee Hill
Funder: American Library Association Other Non-Federal
Research Areas: Library and Information Science
Through the Spectrum Scholarship Program, ALA advances racial equity by connecting new generations of racially and ethnically diverse librarians with a network committed to mutual support, advancing one another’s leadership, and making social justice part of everybody's everyday work.
Theory of Change Through Data
Principal Investigator(s): Wayne G. Lutters
Funder: New York University Other Non-Federal
Research Areas: Future of Work > Human-Computer Interaction > Library and Information Science
The Democratizing Data project supports federal agencies in understanding how their data assets are being used. Novel machine learning algorithms interrogate over 90 million publications to identify data usage, which is presented via a search and discovery platform with three interaction styles: interactive dashboards, Jupyter Notebooks, or direct API.
Heal Us: Reimagining and co-developing curricula for maternal health professionals
Principal Investigator(s): Amelia Gibson
Funder: University of North Carolina at Chapel Hill Other Non-Federal
Research Areas: Data Privacy and Sociotechnical Cybersecurity > Health Informatics > Information Justice, Human Rights, and Technology Ethics
BELIEVE (which stands For “Building Equitable Linkages With Interprofessional Education Valuing Everyone) is a multi-institutional project focused on developing and testing interprofessional curricular interventions for the purpose of reducing Black maternal mortality and morbidity and improving birth experiences in the United States.
UMD Break Through Tech
Principal Investigator(s): Katherine Izsak
Funder: Cornell University Other Non-Federal
Research Areas: Future of Work
Break Through Tech works at the intersection of academia and industry to propel more women and underrepresented communities into technology education and careers. Break Through Techs' goal is to achieve gender equality in tech.
Personalized Account and Community Management Tool
Principal Investigator(s): Jennifer Golbeck
Funder: Intelligent Automation, Inc Other Non-Federal
Research Areas: Future of Work > Smart Cities and Connected Communities
Personalized Account and Community Management Tool
Earth Observation for National Agricultural Monitoring
Principal Investigator(s): Sergii Skakun
Funder: NASA Other Non-Federal
Research Areas: Future of Work > Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project aims to advance national agriculture monitoring with Earth Observations (EO) data in East and Southern Africa using machine learning tools and open source data to develop baseline datasets.
Long Term Multi-Instruments Land Surface Reflectance Record and Applications
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other Non-Federal
Research Areas: Future of Work > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Smart Cities and Connected Communities
The long-term data record (LTDR) from the Advanced Very High-Resolution Radiometer (AVHRR) provides daily surface reflectance with global coverage from the 1980s to present day, making it a unique source of information for the study of land surface properties and their long-term dynamics. Surface reflectance is a critical input for the generation of products such as vegetation indices, albedo, and land cover. Therefore, it is of utmost importance to quantify its uncertainties to better understand how they might propagate into downstream products.
NDA with Department of Legislative Services
Principal Investigator(s): Bill Kules
Funder: STMD-Department of Legislative Services Other Non-Federal
Research Areas: Data Privacy and Sociotechnical Cybersecurity

How COVID-19 is Changing Workplace Surveillance: American Workers’ Experiences & Privacy Expectations When Working From Home
Principal Investigator(s): Jessica Vitak
Funder: SSRC Rapid-Response Research Grants 2020 Other Non-Federal
Research Areas: Future of Work
Investigating American workers' attitudes toward workplace surveillance, including employers' collection of their data for workplace monitoring and efficiency tracking, which has shifted to working-at-home surveillance due to Covid-19.
Community-centered Strategies for Sustaining Digital Humanities Scholarship
Principal Investigator(s): Katrina Fenlon
Funder: Andrew W. Mellon Foundation Other Non-Federal
Research Areas: Digital Humanities
Identifying strategies that digital humanities research communities may use to contribute to and increase the sustainability of their own digital resources and collections.
Designing Equitable Computational Thinking Learning Opportunities in Under-Resourced Elementary Mathematics Classrooms
Principal Investigator(s): David Weintrop
Funder: The National Academy of Education/Spencer Postdoctoral Fellowship Program Other Non-Federal
Research Areas: Youth Experience, Learning, and Digital Practices
Integrating computational thinking into elementary mathematics classrooms in a way that empowers learners to draw on their Funds of Knowledge while also working within the constraints of the public education system.
Collaboration Network for Excellent Education and Research in Dependable and Secure Distributed Systems (CREDENCE)
Principal Investigator(s): Keith Marzullo
Funder: University System of Maryland Foundation Inc. Other Non-Federal
Research Areas: Smart Cities and Connected Communities
Building a collaborative network of leading computer science departments and laboratories in Brazil, Canada and the US to advance the design and validation of security/reliability-critical distributed systems, such as smart homes and cities, cloud computing, smart energy and cryptocurrency systems.
Tapestry: A Tool for Managing Integrated Cyber Risk
Principal Investigator(s): Charles Harry
Funder: Maryland Innovation Initiative Other Non-Federal
Research Areas: Data Privacy and Sociotechnical Cybersecurity
Promoting a patent-pending analytic method and scoring technology that can guide risk assessment for individual organizations and their infrastructure to target and quantify cyber risks throughout an organization.
Integrating Immigrants Into the LIS Workforce: A Pilot, Collaborative Project
Principal Investigator(s): Ana Ndumu
Funder: Association for Library and Information Science Education (ALISE) Other Non-Federal
Research Areas: Information Justice, Human Rights, and Technology Ethics > Library and Information Science
Introducing refugees and immigrants to library professions through a self-paced mini-course as part of a one-year pilot in partnership with the REFORMA Mid-Atlantic Chapter and Prince George’s Public Library System.
TAACO: Targeted Aptitude Assessment for Cyber Operations
Principal Investigator(s):
Funder: STMD-Maryland Technology Development Corporation Other Non-Federal
Research Areas: Data Privacy and Sociotechnical Cybersecurity

Inclusive ICT RERC
Principal Investigator(s): Gregg Vanderheiden J. Bern Jordan Hernisa Kacorri Amanda Lazar Jonathan Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other Non-Federal
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Human-Computer Interaction > Information Justice, Human Rights, and Technology Ethics
Ensuring that existing information and communication technologies (ICT) solutions for people with disabilities are known, effective, findable, more affordable, and available on every computer or digital technology platform; and exploring the emerging next-next-generation interface technologies for which there are no effective accessibility guidelines or standards, and problem-solving in advance of these technologies.
E-VERIFY: System for Cross-Language Information Processing, Translation, and Summarization (SCRIPTS)
Principal Investigator(s): Douglas W. Oard
Funder: Columbia University Other Non-Federal
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Creating a powerful online search engine tool with built-in multilingual-to-English translation. A collaboration of the University of Maryland (UMD), Columbia University, Yale University, the University of Cambridge, and the University of Edinburgh.
CHS: Small: Innovation Through Analogical Search
Principal Investigator(s): Joel Chan
Funder: Carnegie Mellon University Other Non-Federal
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization
Building computational tools enabling users to connect problems in one field with solutions from another field, i.e. facilitate searching for analogies drawn from one domain to help with innovative thinking and reasoning in another domain.
Center for Excellence in Human Language Technology (COE HLT) TTO8.16-21
Principal Investigator(s): Douglas W. Oard
Funder: Johns Hopkins University Other Non-Federal
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization
Exploring highly innovative technologies to automatically analyze a wide range of speech, text, and document data in multiple languages.
IRCN-CAS: International Research Collaboration in Computational Archival Science
Principal Investigator(s): Richard Marciano
Funder: Arts and Humanities Research Council (AHRC) Other Non-Federal
Research Areas: Archival Science > Digital Humanities > Library and Information Science
King’s College London’s Department of Digital Humanities, together with the University of Maryland iSchool Digital Curation Innovation Center (US), the Maryland State Archives (US), and The National Archives (UK), were awarded a 1-year International Research Networking grant for UK-US Collaborations in Digital Scholarship in Cultural Institutions.
RERC on Universal Interface and Information Technology Access
Principal Investigator(s): Gregg Vanderheiden
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other Non-Federal
Research Areas: Accessibility and Inclusive Design > Human-Computer Interaction > Library and Information Science
The Global Public Inclusive Infrastructure (GPII) will be tested in libraries with a focus on serving users with disabilities. Also, a tool will be developed to help people find and use assistive technologies and access features in everyday technologies.