Alternate Reality Games (ARGs) create unique opportunities for informal, player-driven STEM learning to occur. 2 large-scale ARGs are created and evaluated by leading game designers, creative artists, researchers, and content experts from Brigham Young University, University of Maryland, the Computer History Museum, the Smithsonian American Art Museum, NASA, Writerguy LLC, and UXR Consulting.
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.
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.
This project brings together faculty members from the library and information science (LIS) schools at the University of Washington and University of Maryland and public library partners to develop a suite of professional development resources aimed at building public librarians’ capacity to leverage digital media and connected learning principles to promote 21st century skills among the youth they serve.
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.
Citizen science has strong potential in not only public engagement but also science and conservation outcomes. In order to enable appropriate oversight and decision-making regarding citizen science investments by the federal government (as well as other funding and governing bodies), the practitioner field needs tools for evaluating production-oriented outcomes, including science outputs beyond publications and citations.