Research Projects
Funder: Other
RERC on Universal Access to ICT
Principal Investigator(s): J. Bern Jordan Hernisa Kacorri Amanda Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
Research Areas: Accessibility and Inclusive Design > Data Privacy and Sociotechnical Cybersecurity > Human-Computer Interaction
Exploring and developing strategies to individualize generative artificial intelligence (AI) systems to make them provide better results tailored to each individual with a disability (starting with AI systems for visual question answering for blind people); identifying and more deeply understanding the failures in technology use by people who are older and developing design strategies to allow more seniors to understand products out of the box -- especially those technologies that are critical to independent living and engagement.
Principal Investigator(s): J. Bern Jordan Hernisa Kacorri Amanda Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
Research Areas: Accessibility and Inclusive Design > Data Privacy and Sociotechnical Cybersecurity > Human-Computer Interaction
Exploring and developing strategies to individualize generative artificial intelligence (AI) systems to make them provide better results tailored to each individual with a disability (starting with AI systems for visual question answering for blind people); identifying and more deeply understanding the failures in technology use by people who are older and developing design strategies to allow more seniors to understand products out of the box -- especially those technologies that are critical to independent living and engagement.
Investigating the Information Practices of COVID Long-Haulers
Principal Investigator(s): Beth St. Jean Twanna Hodge Jane Behre J. Nicole Miller
Funder: UMD Impact Award - Pandemic Readiness Initiative: https://research.umd.edu/pri Other
Research Areas: Health Informatics > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
This project investigates the information needs, practices, and experiences of people who have long COVID ("COVID long-haulers") in order to learn more about their COVID-related information needs, the ways in which they have gone about fulfilling these needs, and their information-related experiences. W
Principal Investigator(s): Beth St. Jean Twanna Hodge Jane Behre J. Nicole Miller
Funder: UMD Impact Award - Pandemic Readiness Initiative: https://research.umd.edu/pri Other
Research Areas: Health Informatics > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
This project investigates the information needs, practices, and experiences of people who have long COVID ("COVID long-haulers") in order to learn more about their COVID-related information needs, the ways in which they have gone about fulfilling these needs, and their information-related experiences. W
Systematically Documenting New Sociotechnical Foundations for Research Synthesis Infrastructures
Principal Investigator(s):
Funder: Alfred P. Sloan Foundation Other
Principal Investigator(s):
Funder: Alfred P. Sloan Foundation Other
E-Verify: Modernizing NCSES Data Collection Approaches (Year 2)
Principal Investigator(s):
Funder: University of Michigan Other
Principal Investigator(s):
Funder: University of Michigan Other
A Leaderboard and Competition for Human–Computer Adversarial QA
Principal Investigator(s): Jordan Boyd-Graber
Funder: Meta Platforms fka Facebook Other
Principal Investigator(s): Jordan Boyd-Graber
Funder: Meta Platforms fka Facebook Other
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
Principal Investigator(s): Cody Buntain
Funder: DOD-DARPA-Defense Advanced Research Projects Agency Other
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
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.
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
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
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.
Principal Investigator(s): Giovanni Luca Ciampaglia
Funder: Social Science Research Council Other
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
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.
Principal Investigator(s): Zubin Jelveh
Funder: STMD-Governor's Office of Crime Control & Prevention Other
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
Funder: American Library Association Other
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.
Principal Investigator(s): Eun Kyoung Choe
Funder: American Library Association Other
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.
Launching the TALENT Network to Promote the Training of Archival & Library Educators w. iNnovative Technologies
Principal Investigator(s): Richard Marciano
Funder: Institute of Museum and Library Services Other
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Library and Information Science
The TALENT Network (Training of Archival & Library Educators with iNnovative Technologies) brings together experts from across the United States (including archivists, librarians, Library and Information Science educators, historians, learning scientists, cognitive scientists, computer scientists, and software engineers) in order to create a durable, diverse, and multidisciplinary national community focused on developing digital expertise and leadership skills among archival and library educators.
Principal Investigator(s): Richard Marciano
Funder: Institute of Museum and Library Services Other
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Library and Information Science
The TALENT Network (Training of Archival & Library Educators with iNnovative Technologies) brings together experts from across the United States (including archivists, librarians, Library and Information Science educators, historians, learning scientists, cognitive scientists, computer scientists, and software engineers) in order to create a durable, diverse, and multidisciplinary national community focused on developing digital expertise and leadership skills among archival and library educators.
Inverting Colonial Archival Structures: Increasing Discovery and Access for Indigenous Communities through SNAC
Principal Investigator(s): Diana E. Marsh
Funder: Institute of Museum and Library Services Other
Research Areas: Accessibility and Inclusive Design > Archival Science > Digital Humanities > Library and Information Science > Social Networks, Online Communities, and Social Media
Inverting Colonial Archival Structures: Increasing Discovery and Access for Indigenous Communities through SNAC (Indigenize SNAC) aims to test discovery and access of archival records for indigenous communities through the web platform Social Networks for Archival Contexts (SNAC). The project is funded by the IMLS Laura Bush 21st Century Librarian program.
Principal Investigator(s): Diana E. Marsh
Funder: Institute of Museum and Library Services Other
Research Areas: Accessibility and Inclusive Design > Archival Science > Digital Humanities > Library and Information Science > Social Networks, Online Communities, and Social Media
Inverting Colonial Archival Structures: Increasing Discovery and Access for Indigenous Communities through SNAC (Indigenize SNAC) aims to test discovery and access of archival records for indigenous communities through the web platform Social Networks for Archival Contexts (SNAC). The project is funded by the IMLS Laura Bush 21st Century Librarian program.
Theory of Change Through Data
Principal Investigator(s): Wayne G. Lutters
Funder: New York University Other
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.
Principal Investigator(s): Wayne G. Lutters
Funder: New York University Other
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
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.
Principal Investigator(s): Amelia Gibson
Funder: University of North Carolina at Chapel Hill Other
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.
Achieving Optimal Motor Function in Stroke Survivors via a Human-Centered Approach to Design an mHealth Platform
Principal Investigator(s): Eun Kyoung Choe
Funder: National Institutes of Health Other
Research Areas: Accessibility and Inclusive Design > Health Informatics > Human-Computer Interaction
Stroke rehabilitation, mHealth, Human-Computer Interaction
Partners: University of Massachusetts Amherst, Spaulding Rehabilitation Hospital, Formsense
Principal Investigator(s): Eun Kyoung Choe
Funder: National Institutes of Health Other
Research Areas: Accessibility and Inclusive Design > Health Informatics > Human-Computer Interaction
Stroke rehabilitation, mHealth, Human-Computer Interaction
Partners: University of Massachusetts Amherst, Spaulding Rehabilitation Hospital, Formsense
Center For Excellence in Human Language Technology
Principal Investigator(s): Douglas W. Oard
Funder: Johns Hopkins University Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Human-Computer Interaction
Principal Investigator(s): Douglas W. Oard
Funder: Johns Hopkins University Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Human-Computer Interaction
III: Small: Improving Technical Paper Database Search through Math-aware Search Engines
Principal Investigator(s): Douglas W. Oard
Funder: Rochester Institute of Technology Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Library and Information Science
Principal Investigator(s): Douglas W. Oard
Funder: Rochester Institute of Technology Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Library and Information Science
Command (SOCOM): Augmenting selection exercises (CLIN 0002 – travel)
Principal Investigator(s): Susan G. Campbell
Funder: U.S. Army Other
Research Areas: Future of Work
Principal Investigator(s): Susan G. Campbell
Funder: U.S. Army Other
Research Areas: Future of Work
E-Verify: Modernizing NCSES Data Collection Approaches
Principal Investigator(s): Christopher Antoun
Funder: University of Michigan Other
Research Areas: Archival Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Future of Work
Principal Investigator(s): Christopher Antoun
Funder: University of Michigan Other
Research Areas: Archival Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Future of Work
Cyber Aptitude and Talent Assessment for United States Special Operations Command (SOCOM)
Principal Investigator(s): Susan G. Campbell
Funder: U.S. Army Other
Research Areas: Data Privacy and Sociotechnical Cybersecurity > Future of Work
Principal Investigator(s): Susan G. Campbell
Funder: U.S. Army Other
Research Areas: Data Privacy and Sociotechnical Cybersecurity > Future of Work
UMD Break Through Tech
Principal Investigator(s):
Funder: Cornell University Other
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.
Principal Investigator(s):
Funder: Cornell University Other
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
Research Areas: Future of Work > Smart Cities and Connected Communities
Personalized Account and Community Management Tool
Principal Investigator(s): Jennifer Golbeck
Funder: Intelligent Automation, Inc Other
Research Areas: Future of Work > Smart Cities and Connected Communities
Personalized Account and Community Management Tool
Convergence Accelerator Phase I (RAISE): Credible Open Knowledge Network
Principal Investigator(s): Naeemul Hassan
Funder: The University of Texas, Arlington Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Smart Cities and Connected Communities
Principal Investigator(s): Naeemul Hassan
Funder: The University of Texas, Arlington Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Smart Cities and Connected Communities
The POD-Vis Cloud-Based Platform Generates Actionable Insights from Complex Clinical Datasets
Principal Investigator(s):
Funder: University of Maryland Baltimore Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Health Informatics
Principal Investigator(s):
Funder: University of Maryland Baltimore Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Health Informatics
Earth Observation for National Agricultural Monitoring
Principal Investigator(s): Sergii Skakun
Funder: NASA Other
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.
Principal Investigator(s): Sergii Skakun
Funder: NASA Other
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
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.
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
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.
Agricultural Land Use Change in Central and Northwest Thailand: Effects on Biomass Emissions, Soil Quality, and Rural Livelihoods
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
Research Areas: Future of Work > Smart Cities and Connected Communities
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
Research Areas: Future of Work > Smart Cities and Connected Communities
Crop Yield Assessment and Mapping by a Combined use of Landsat-8, Sentinel-2, and Sentinel-1 Images
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Smart Cities and Connected Communities
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Smart Cities and Connected Communities
E. Bikes Effect on Mode and Route Choice: A Case Study of Richmond, VA
Principal Investigator(s): Vanessa Frias-Martinez
Funder: Morgan State University Other
Research Areas: Smart Cities and Connected Communities
Principal Investigator(s): Vanessa Frias-Martinez
Funder: Morgan State University Other
Research Areas: Smart Cities and Connected Communities
NDA with Department of Legislative Services
Principal Investigator(s): Bill Kules
Funder: STMD-Department of Legislative Services Other
Research Areas: Data Privacy and Sociotechnical Cybersecurity
Principal Investigator(s): Bill Kules
Funder: STMD-Department of Legislative Services Other
Research Areas: Data Privacy and Sociotechnical Cybersecurity
INFACT: The Inclusion of Neurodiversity in Foundations and Applications of Computational Thinking
Principal Investigator(s): David Weintrop
Funder: TERC Other
Research Areas: Accessibility and Inclusive Design > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s): David Weintrop
Funder: TERC Other
Research Areas: Accessibility and Inclusive Design > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Designing a Computer Science Pre-service Teacher Methods Course for Maryland
Principal Investigator(s): David Weintrop
Funder: University System of Maryland Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): David Weintrop
Funder: University System of Maryland Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
Integrating Computing into Urban Elementary Mathematics Classrooms as a Means to Bring Computational Thinking to All
Principal Investigator(s): David Weintrop
Funder: National Academy of Education Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): David Weintrop
Funder: National Academy of Education Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
Early Computational Thinking for All: Exploring the Mutually Supportive Nature of Mathematics and Computational Thinking in Fourth-Grade Classrooms
Principal Investigator(s): David Weintrop
Funder: The Spencer Foundation Other
Research Areas: Archival Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s): David Weintrop
Funder: The Spencer Foundation Other
Research Areas: Archival Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
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
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.
Principal Investigator(s): Jessica Vitak
Funder: SSRC Rapid-Response Research Grants 2020 Other
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
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.
Principal Investigator(s): Katrina Fenlon
Funder: Andrew W. Mellon Foundation Other
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
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.
Principal Investigator(s): David Weintrop
Funder: The National Academy of Education/Spencer Postdoctoral Fellowship Program Other
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
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.
Principal Investigator(s): Keith Marzullo
Funder: University System of Maryland Foundation Inc. Other
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
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.
Principal Investigator(s): Charles Harry
Funder: Maryland Innovation Initiative Other
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
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.
Principal Investigator(s): Ana Ndumu
Funder: Association for Library and Information Science Education (ALISE) Other
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.
The Essential and Advanced Lactation Simulation Model ("LSM") and the Breast Health Training Tool ("BHTT")
Principal Investigator(s):
Funder: LiquidGoldConcept Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization > Human-Computer Interaction
Principal Investigator(s):
Funder: LiquidGoldConcept Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization > Human-Computer Interaction
TAACO: Targeted Aptitude Assessment for Cyber Operations
Principal Investigator(s):
Funder: STMD-Maryland Technology Development Corporation Other
Research Areas: Data Privacy and Sociotechnical Cybersecurity
Principal Investigator(s):
Funder: STMD-Maryland Technology Development Corporation Other
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
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.
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
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
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.
Principal Investigator(s): Douglas W. Oard
Funder: Columbia University Other
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
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.
Principal Investigator(s): Joel Chan
Funder: Carnegie Mellon University Other
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
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.
Principal Investigator(s): Douglas W. Oard
Funder: Johns Hopkins University Other
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
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.
Principal Investigator(s): Richard Marciano
Funder: Arts and Humanities Research Council (AHRC) Other
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
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.
Principal Investigator(s): Gregg Vanderheiden
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
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.
Additive Manufacturing Digital Curation and Data Management
Principal Investigator(s): Richard Marciano
Funder: US Army Research Office: Army Research Lab (ARL) Other
Research Areas: Archival Science > Data Science, Analytics, and Visualization
Exploring digital curation, data management, data mining, and the development of a digital asset management system for Additive Manufacturing
Principal Investigator(s): Richard Marciano
Funder: US Army Research Office: Army Research Lab (ARL) Other
Research Areas: Archival Science > Data Science, Analytics, and Visualization
Exploring digital curation, data management, data mining, and the development of a digital asset management system for Additive Manufacturing