Interpretation, the task of translating speech from one language to another, is an important tool in settings such as international meetings, travel, or diplomacy. However, simultaneous interpretation, which occurs while the speaker is speaking, is an extremely difficult task. The project aims to create automatic interpretation assistants that will recognize content in the original language and display translations on a display.
BodyVis helps elementary school aged children learn about anatomy and physiology by making clothing with sensors and displays to help kids see how their own bodies work. For example, a life-sized pair of lungs on a shirt might light up to show how air flows in and out of a child's lungs in time with their own breathing.
Self-monitoring for older adults and surgical patients can be difficult but beneficial–increased awareness, reduced negative behaviors, goal setting. This research looks at whether combining manual and automatic tracking (semi-automated tracking) can promote user engagement while reducing user burden for the best data collection.
The Bering Land Bridge National Preserve, one of the most remote and isolated park service sites, hopes to engage with young visitors with an improved Alaska Animal Adaptation web page on its website.
The information age has made it trivial for anyone to create and then share vast amounts of digital data. This includes unstructured collections made of data such as images, video, and audio to collections of born digital content made up of data such as documents and spreadsheets.
This project envisions mobile cyber-physical systems (CPS) where people carrying cell phones generate large amounts of location information that is used to sense, compute and monitor human interactions with the physical environment during environmental dislocations.
This project seeks to learn how we can use the existing ecosystem of networked devices in our surroundings to make sense of and exploit massive, heterogeneous, and multi-scale data anywhere and at any time.
This project aims to serve the national interest by implementing educational simulations to improve career preparation among STEM students. There is a shortage of qualified workers in many STEM careers, including cybersecurity and data science.
Increasingly pervasive data about people enables fundamentally new computational research. Simultaneously, changes in scale, scope, speed, and depth of data availability require reconsideration of ethics for computational research. Much work addressing ethics for big and pervasive data proceeds from first principles, applying traditional tenets of research ethics to computational data research.
Web exhibits highlighting objects associated with the Civil Rights Movement will expand visitor and public access from around the world to the National Capital Region (NCR) museum collections.
The lack of information regarding cycling safety prompts local governments and bicycle associations to look into ways of making cycling in urban areas both more attractive and safer. Using data mining and machine learning techniques, this project can measure bicycle safety from citizens’ complaints and concerns.
The project aims to find out how local communities can benefit from the advances in big data and data analytic technologies and how such technologies can create an innovation-supporting environment to stimulate economic growth in recovering communities.
Dr. Susan Winter and Andrew Fellows will lead the effort to bring advanced data analytics and business intelligence services to public libraries in Prince George’s County.
UMD held a workshop to create the building blocks of a Master's level educational curriculum to educate the next generation of librarians and archivists in the computational treatments of collections.
A $364K partnership with the National Park Service (NPS) to create a cutting-edge Digital Asset Management System to preserve and manage the digital assets of the Mary McLeod Bethune Council House National Historic Site.
Bringing together interdisciplinary faculty from the iSchool, economically disadvantaged/low socioeconomic status (SES) families, and public library partners may help minimize privacy and security challenges that librarians face and risks that low-SES families face using internet and communication technologies (ICTs).
This collaboration between the iSchool and the U.S. Department of Agriculture’s National Agricultural Library (NAL) will help develop a robust data curation infrastructure that safeguards agricultural information and promote their continued discovery and re-use through the utilization of NAL’s extensive collections, digital resources, and staff expertise.
Curated archival collections are primary data sources that provide information for long-term research needs.
The National Agricultural Library acquires, organizes, provides access to, and preserves agriculture literature and its data for the U.S. Department of Agriculture. It needs research on the best practices for creating and curating its digital collections.
Online communities are a great way for people to post their problems and get solutions through open discussion; however, bias in information exchange in small group discussions could affect crowd discussions.
Privacy and data security in mobile applications are necessary for information collection but oftentimes expensive and difficult to implement. This project seeks to study developers’ practices that encourage privacy and security in design and build tools to encourage such practices.
This project studies academic and commercial software research and development (R&D) to discover factors that encourage discussion and action on ethical challenges.
A Global Public Inclusive Infrastructure (GPII) was made to change any devices’ interfaces for people who cannot use technologies due to barriers caused by their level of disability, literacy, and/or digital literacy.
The Digital Curation Innovation Center plans to improve the performance and scalability of the Fedora Repository for the Fedora community by researching, developing, and testing software architectures.
This National Science Foundation Research Traineeship (NRT) award in the Innovations in Graduate Education (IGE) Track to the University of Maryland will pilot an innovative, cross-disciplinary curriculum that integrates Data Science with Social Science. The project advances the understanding of how best to train students and working professionals in the STEM fields, particularly social science.
The Innovations in Development project will engage members of diverse communities associated with three partner nature preserves in Maryland, North Carolina, and Colorado, who will develop and carry out technology assisted science projects.
The National Park Service and the iSchool have collaborated to create an internship program in which students learn about existing archival resources as well as assist in developing and implementing a strategy to locate, identify, and survey archival records throughout National Capital Region parks.
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 Collaborati
Mobile devices are efficient and convenient, but also increase the potential for more pervasive forms of digitally mediated surveillance by media companies, marketers, governments, employers, and Internet Service Providers. This project evaluates mobile users’ mental models of privacy.
This workshop hopes to identify the current metrics, tools, and practices that are effective in recording the impact of digital data storage, and the issues that will require additional research.
The Community-Driven Environmental Projects (C-DEP) model is a multi-university research endeavor funded by the NSF AISL program with an objective to engage members of diverse communities in local nature and environmental conservation projects of their choosing.
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.
This project brings together machine learning researchers and human-computer interaction researchers to build effective environments for information exploration.
When using today’s search engines, people can not yet search some government records or unprocessed archives because of intermixed information that may need to be protected. This is a direct consequence from current search engines only being able to protect sensitive content if that sensitive content has been marked in advance. This project will address this challenge by creating a new class of search algorithms that are designed to balance the searcher's interest in finding relevant content with the content provider's interest in protecting sensitive content.
This project designs and implements ubiquitous technology tools to help children in the United States, especially those in lower socioeconomic status neighborhoods, who face systematic challenges in connecting science learning across school, home, and informal experiences.
Expanding the Lilead Fellows Program from one cohort to a sustainable program available to all library leaders in school districts across the country would allow more school library leaders to carry out the vision of the Every Student Succeeds Act (ESSA).
Computer security researchers must navigate ethical dilemmas about how to use big data and shared networked resources to discover vulnerabilities; how to safely expose these problems; and how to best ensure that critical vulnerabilities are fixed.
This fellows program advances a new field of study and builds a workforce in the field of digital curation and user access with an emphasis on agriculture and agricultural informatics.
Valuing Our Scans (VoS) is a 3-year, mixed methods research project that will help cultural heritage institutions evaluate the use and impact of digitized ethnographic archives.
The newly approved information science undergraduate program with an initial specialization in data science allows researchers to recognize the new opportunities to enhance both the intellectual merit and the broader impacts of the VOICE project, effectively integrating research with undergraduate education.
The iSchool and the Maryland Institute for Technology in the Humanities (MITH) seeks to collaborate to develop specific plans for incorporating virtual reunification of dispersed photograph and image collections.
The pace of our digital-era society and the circumstances in which people live are diverse and can produce expectations and situations requiring children to be extremely flexible and resilient.