Data Science, Analytics, and Visualization
Harnessing the potential of data science for world-changing social applications.
Understanding data from everyday life could help professionals, policymakers, and citizens make our society better, fairer, and more efficient. For example, imagine hunting for a house by walking through the neighborhood in which you want to live and discovering facts about the area from social media, census data, and nearby schools.
UX designers and developers who build user-facing systems have the power to shape the experiences of those who interact with their products. Without meaning to these creators can produce systems that reflect their own unconscious social biases.
Today's search engines are designed principally to help people find what they want to see. Paradoxically, the fact that search engines do this well means that there are many collections that can't be searched.
The Center for the Advanced Study of Communities and Information (CASCI) is a core scholarly community-building organization within the College of Information Studies. CASCI exists to facilitate research and education that advances our understanding of the technology, information, and organization approaches needed to realize the potential of 21st-century communities to support learning, facilitate innovation, transform science and scholarship, promote economic development, and enhance individual and civic well-being.
This RERC addresses access to inclusive information and communication technologies (ICT) for people with disabilities. ICTs are an integral part of life, impacting education, employment, health, transportation, and social communication; however, as ICTs continue to evolve (e.g., digital technologies) access for individuals with disabilities may become prohibitive.
Milk Expression Research Lab (MERL): Proof of concept and feasibility of an investigation into claimed versus actual breast pump specifications and performance
Human milk (HM) provides optimal nutrition for infants and the perfect version of milk for the first years of life. However, a variety of barriers to breastfeeding exist and, while the overwhelming majority of parents initiate breastfeeding at birth, most do not breastfeed for as long as they initially desired, despite the negative health and emotional consequences associated with early breastfeeding cessation.
Increasing Public Access to Archival Holdings of the Mary McLeod Bethune Council House National Historic Site through Student Processing Internships
In this study, I propose studying how technology can help Data Science collaboration for teams with interdisciplinary members. In particular, I will study how the members develop Transactive Memory System (TMS), a cognitive mechanism through which a group of individuals encode, store, and retrieve information and knowledge by knowing what others know (Wegner, 1987). Developing TMS is especially important for teams whose members are from multiple backgrounds.
Many users have topics that they follow over time, whether for personal or professional reasons. The user has an ongoing interest in understanding what changes are happening in their overall topic area.
KNEXT is a three-year collaborative project between Kent State University (KSU-SLIS) and the University of Maryland (UMD-CIS), which partners with local public libraries, small business development centers, economic development organizations, and community advocacy groups to bring advanced data analytics and business intelligence (DA&BI) services to public libraries in order to support small businesses, entrepreneurs, and community advocates within two recovering communities in Ohio and Maryland.
Smart speaker-based voice assistants such as Amazon’s Alexa, Apple’s Siri, Google assistant, etc. have an increasing presence in many users’ everyday activities. Compared to smartphone-based voice assistants (e.g., Siri on a smartphone), smart speakers have unique qualities.
Social media sites such as Facebook are popular platforms for spreading clickbait, links with misleading titles that do not deliver on their promises. Not only does clickbait waste users' time, it often directs users to phishing sites and sites containing spyware and malware. A large number of users fall victim to scams on social media, including those spread through clickbait, due to both a lack of awareness and a lack of appropriate warnings on social media platforms.
Piloting an Online National Collaborative Network for Integrating Computational Thinking into Library and Archival Education and Practice
This project focuses on participants who have a master's-level education in order to target the professional development of future practitioners across the nation.
NRT-IGE: Information Infrastructure for Society: Integrating Data Science and Social Science in Graduate Education and Workforce Development
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.
This project aims to understand (1) what kind of data are needed from older adults to make activity tracking work for them; and (2) how to engage older adults to collect the needed data.
SaTC: EDU: Collaborative: Connecting Contexts: Building Foundational Digital Privacy and Security Skills for Elementary School Children, Teachers, and Parents
User behavior plays a crucial role in creating and maintaining cybersecurity, and children are an under-researched user group who are at risk from a range of online privacy and security threats.
This project investigates new ways to create grounding in multilingual teams engaged in collaborative writing. It will improve understanding and develop new tools.
This project investigates new ways to create grounding in multilingual teams engaged in collaborative writing. It will improve understanding and develop new tools.
The Essential and Advanced Lactation Simulation Model ("LSM") and the Breast Health Training Tool ("BHTT")
SCC-IRG Track 1: Inclusive Public Transit Toolkit to Assess Quality of Service Across Socioeconomic Status in Baltimore City
This interdisciplinary research effort will advance the state of the art in privacy, survey design, data analytics, transit equity, data-driven civic engagement, and transit simulations; and will create a unique opportunity to understand the interdependencies between these research areas generating new knowledge necessary to ultimately drive QoS transit improvements
The Overseas Pension Project is a team of archivists, historians, genealogists, and information managers with a common mission: exploring data trapped within 200 year old archival documents.
Citizen science is a form of collaboration that engages non-professionals as contributors to scientific research, typically through the processes of gathering, transforming or analyzing data.
Every day, millions of people log on to the website Twitch.tv and watch others play games, a practice known as streaming. Briefly, a stream features live gameplay overlaid with a camera to capture the performer’s reactions, and a chat channel for the audience, facilitating social interaction relating to the stream’s content.
From Facebook’s News Feed algorithm that shapes the posts and updates we see, to Spotify’s recommendation service that introduces us to new music that we might love, to dating site algorithms that attempt to match us with potential romantic partners, algorithms play an increasingly important role in shaping many aspects of our daily lives.
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.
Participatory Design (PD) gives users a voice in the design of technologies they are meant to use by including users in the technology design process.
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.
Amplifying the International Research Network for Assessing the Value and Impact of Digitized Ethnographic Archives
Dr. Punzalan has been actively pursuing research that to help libraries, archives, and museums better document and assess the impact of access to their digitized ethnographic archives.
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.
Individuals with chronic health conditions often do not translate knowledge of appropriate health behaviors to manage their condition into active lifestyle changes.
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.
Towards Identifying Values and Tensions in Designing a Historically-Sensitive Data Platform: A Case of Urban Renewal Documents
The urban renewal project was a national effort in the 1960s and 1970s to transform “blighted” neighborhoods into living spaces such as public housing and modern amenities with an emphasis on economic values.
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.
Citizen science monitoring of local watersheds is crucial for water conservation and activism. Both quantitative and qualitative metrics are used to evaluate stream habitats, however water biologists suggest that qualitative assessment tasks are too nuanced for citizen scientists to learn because they rely on background knowledge and past stream experiences.
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.
Voice-controlled intelligent personal assistants (IPAs), such as Amazon Echo and Google Home, have introduced a new interaction paradigm into the mainstream.
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.
With the explosion of machine learning and artificial intelligence (AI), several assistive technologies have emerged in the recent few years that enhance life experiences for people with disabilities.
AISL: Innovations in Development: Community-Driven Project That Adapt Technology for Environmental Learning in Nature Preserves
This project engages members of racially and economically diverse communities in identifying and carrying out environmental projects that are meaningful to their lives, and adapts technology known as NatureNet to assist them. NatureNet, which encompasses a cell phone app, a multi-user, touch-based tabletop display and a web-based community, was developed with prior NSF support.
PING: Examining Older Adults’ Response to Home-based, Voice-Controlled Reminders Through Proximity Sensing
Older adults, who usually have home-bounded lifestyles, can use reminders on intelligent personal assistants (IPAs) such as Amazon Echo and Google Home for medication, exercise, shopping, and housekeeping.
Niklas Elmqvist explores the combination of smartwatches and a large interactive display, such as a touchscreen, to support visual data analysis.
A prestigious, invited literature review paper is in progress, but the author and reviewers think it would be an even stronger paper with some more research into relevant literature.
CHS: Small: Collaborative Research: Making Information Deserts Visible: Computational Models, Disparities in Civic Technology Use, and Urban Decision Making
This research will develop a foundational tool for understanding how civic technologies are used and how information inequalities manifest in a city. User data from new civic technologies that reveal inequalities in the information environments of citizens has only recently become available.
Datafication of original records at the National Archives to expand the Global Journeys; Local Communities project’s records dataset
The Global Journeys; Local Communities Project identifies, digitizes, data files and indexes records documenting American citizens and their families who emigrated from the United States to live permanently abroad.
Comparisons between two things are useful to support creative thinking and reasoning. Many important breakthroughs in science and technology were driven by analogy: observing water led the Greek philosopher Chrysippus to speculate that sound was a wave phenomenon; an analogy to a bicycle allowed the Wright brothers to design a steerable aircraft.
Infrastructure (or the lack thereof) for collective design: The case of community access to high-speed Internet in the city of Baltimore
Foundational research by Vanessa Frias-Martinez and Gerrit Knaap has revealed that in Baltimore, many residents live in neighborhoods that lack “Last Mile” connections to the Internet cable infrastructure, and consequently lack reliable access to high-speed Internet.
Collaboration in the Future of Work: Developing Playable Case Studies to Improve STEM Career Pathways
Collaboration in the Future of Work: Developing Playable Case Studies to Improve STEM Career Pathways is a project by three collaborating institutions to develop curricular modules, formative and summative assessments, and learning analytics to be inserted into undergraduate courses supported by a Playable Case Study (PCS) infrastructure.
Attitudes towards dementia have concrete impacts on the ability of people with dementia to maintain and create social connections with others, to engage in meaningful activity, and to receive appropriate and respectful care.
To establish a collaboration between the University of Maryland College of Information Studies (iSchool) and the United States Department of Agriculture’s National Agricultural Library (NAL) that capitalizes on the iSchool’s Digital Curation program in order to help develop a robust data curation infrastructure.
Designing a Crowdsourced Repository of Local Resources for Individuals who have Chronic Health Conditions
Self-management support is a critical component of effective chronic illness care. Individuals who have chronic health conditions often require intensive support to make sustainable long-term lifestyle changes to improve and maintain their health. While there is strong existing literature on the lifestyle and health decisions of the chronically ill, their information needs are understudied.
This is funding to support a Doctoral Consortium (workshop) of approximately 15 promising graduate students (up to 10 from the United States, who will be funded by this award), along with about 5 distinguished research faculty.
This study aims to further explore the potential opportunities in understanding self-tracking in a team sports context. The findings of this study will help the researcher map out the design space surrounding the various goals, needs, group dynamics and choice of tools that influence self-managing of an athlete’s sports performance.
CCE STEM: Finding Practices that Cultivate Ethical Computing in Mobile and Wearable Application Research & Development
This project will study academic and commercial software research and development (R&D) to discover factors that encourage discussion and action on ethical challenges.
The AGEP Alliance State System Model to Transform the Hiring Practices and Career Success of Tenure Track Historically Underrepresented Minority Faculty in Biomedical Sciences
This collaborative research brings together five public universities with the goal of developing, implementing, studying, evaluating and disseminating a state level AGEP Alliance model to increase the number of historically underrepresented minority (URM) tenure-track faculty in the biomedical sciences.
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.
Designing high-performing engineering systems--for example, fuel-efficient aircraft, medical devices, new manufacturing and agricultural equipment--requires searching for high-quality solutions among many possible options.
Integrative visual and computational exploratory analysis of genomics data High-throughput genomics is now shifting from a data generation field to a data analysis field. Rapid advances in sequencing technologies and their use in large consortium projects like Encode, 1000 genomes project and the Human Epigenome Roadmap, among others, hold promise for biomedical scientists to posit and test hypothesis on complex mechanisms of development and disease by integrating massive publicly available data as context for their own experimental data.
African American and Latinx youth are often socialized towards athletic activity and sports participation, sometimes at the expense of their exploration of the range of potential career paths including those in the science, technology, engineering, and mathematics (STEM) fields.