My research brings together perspectives from information theory, science and technology studies, and human-computer interaction, to address sociotechnical issues related to the development of biomedical technologies. This work is motivated by questions about how and why different values shape and inform design decisions made within everyday scientific practices. It also seeks to understand the social implications of these decisions and the role information systems (e.g. algorithms, computational modeling, data management) have in enabling certain consequences. Through this research I look for practical values interventions which scientists can use to keep long-term ethical considerations at the forefront of translational research processes.
My research interest is in youth and information access and use, both in formal and informal learning settings. I am particularly interested in diversity and the school performance and economic impacts of computing knowledge and proficiency, and in the role school and public libraries can play in addressing racial end economic disparities in access to information.
My research interests are on topics related to interoperability issues with Knowledge Organisation Systems, especially in the areas of taxonomy alignment. I’m currently working with Professor Bertram Ludäscher on projects where we tried to use RCC-5, logic-based approach to reconcile taxonomies. I’m also interested in ontology mapping, matching problems, and other Semantic Web related topics.
My research interests lie in the intersection of technology, human, and music. I am interested in music information retrieval and digital library research using data mining, machine learning, and music signal processing. I have worked on various topics including a cross-cultural exploration of K-Pop genre/mood, automatic music topic classification using texts and audio features, music mood classification, and automatic lyrics-to-audio alignment.
I am interested in how information technologies connect people who are spread out in space and time. How has social media technology altered the “international student experience”? How are social media and online learning systems (including both for-credit programs and Massive Open Online Courses or MOOCs) connecting geographically dispersed peoples, both for community building and educational purposes? What are the ramifications of changes and new/current patterns in those connections across space and time, and what might the future implications of those changes and patterns be?
Ly's current interests as well as research topic areas lie at the intersection of computational social science, network theories and applications, and organizational communication. More specifically, Ly aims to examine how research methods such as network analysis and social simulation models can be used to advance our understanding of various social and organizational systems. Her current projects place network science at the core to understand and explain a number of social/organizational phenomena ranging from egocentric networks to interagency emergency response networks.
The interface between computation and life science has always fascinated me. While studying medical informatics, I came across an interesting case of a chemotherapy drug that sometimes had no effect or could harm the patient depending on the presence of specific genetic markers. The information about these biomarkers had languished in the literature for many years but it was spread across many disciplines. Scientists have trouble keeping up with the literature in their own fields much less several fields. This is an information science problem that could be solved with natural language processing and data and text mining techniques. My goal is to mine the vast scientific literature and genetic databases for biomarkers that predict drug efficacy.
My research interests focus on the information behaviors of African Americans, and the effectiveness of cultural heritage institutions (libraries, archives, museums) at meeting the needs of African American communities. I am also interested in information literacy, community informatics, social justice, community engagement, and diversity and inclusion.
My current academic interests include data mining, text mining, machine learning, and data visualization, specifically on how DM and TM can help analyze; sociotechnical data such as medical data, publication data, or geographical data, etc.; how to apply different ML algorithms to different projects and invent new ones; and how to better visualize and storytell the data.
My research motivation involves extracting patterns and relations from textual data that will help scientists and scholars make discoveries from large text datasets. The related areas include information retrieval, natural language processing, text mining, and ontology.
My current research interest lies in comics and cultural studies, especially in the evaluations of cultural elements reflected in comics, readers' information behaviors, comic-related data analysis, and possibly ways to promote cultural communications on this basis.
My research interests are in personal and collective memory, personal archives and archiving, family archives, and community archives. I have always been fascinated by the diverse kinds of personal and family materials that we either intentionally create/collect or simply fortuitously retain in our daily lives (e.g., diaries, photographs, scrapbooks, art, social media posts, ticket stubs, souvenirs). My research explores people's ideas, practices, and experiences related to such materials and how information professionals can better understand, facilitate, and support these kinds of everyday information behavior.
My research interest lies in music information retrieval (MIR), especially music mood/genre classification using text mining and signal processing techniques, as well as topics related to MIR evaluation.
My research interests include information management, knowledge discovery, and data analytics. I am motivated in building smarter information systems that can help people get insights from data and make important decisions, without the hassle of going through the laborious work of collecting and disambiguating knowledge. I am currently working with Prof. Jodi Schneider on information extraction on healthcare data. Particularly, we study medication systematic review process and propose solutions for automatic extraction of important medical data elements that could help reduce the time necessary to complete a systematic review in healthcare.
My research interests are on topics related to knowledge diffusion and scholarly communication. I'm current working with Professor Vetle Torvik to study how the patents are cited in the scientific papers.
My research interests include digital humanities and digital libraries. I want to apply digital tools and computational methods to the study of texts and innovate the way we interpret literature. I am also very interested in library and information sciences education.
People with medical disabilities and their information behaviors, with the end goal of determining how libraries can promote disability equity in their services and programs in supporting these individuals.
I employ formal methods to examine issues in the conceptual foundations of information access, organization, and retrieval, especially with regards to web and data semantics. Knowledge representation techniques and modeling exercises, such as ontology development and conceptual modeling, represent a sizable area of overlap in my research.
I'm interested in developing computational methods for better understanding the propagation of information from public discourse on social issues. The related research areas include text mining, natural language processing and information retrieval.
My research interests are in preservation of intangible cultural heritage, specifically the seeking, acquisition, and sharing of indigenous knowledge. I am particularly interested to know how varied indigenous groups acquire and transmit existing and new knowledge; understanding challenges and how choices are negotiated; as well as identifying strategies for facilitating ongoing indigenous practices and preserving existing knowledge for future generations.
I am interested in library and information services provision for the marginalized community in Africa, especially historically marginalized communities and those who have had to leave their homes due to environmentally, political, social or economic problems. My focus will be on identifying existing library and information services to the marginalized communities, assess their impact on the ground and identify best practices.
My research focuses on biomedical scientific claims made in grant funded projects. Especially, I am interested in analyzing the effect of collaboration on evolving scientific claims in multiple projects, which are appeared in text such as grant abstracts and full-text articles. The textual analysis on scientific claims are conducted with various techniques in information retrieval, natural language processing, and text mining.
Critical theory in LIS education and information organizations. Information behavior of children. Youth services in public libraries with emphasis on diverse users. Children's literature. Research methods. Management of public libraries.
I conduct research on extracting and analyzing information from temporally changing social data. I have applied human-in-the-loop as well as semi-supervised machine learning techniques to extract information from social media datasets. I have also worked on quantifying conceptual novelty and expertise in biomedical articles. I have also worked on studying the effects of gender, ethnicity, and author age on self-citation rates in biomedical articles. Most of my research is available in form of open source tools, and open datasets.
My research focus is on the social design of technical systems (mobile and web applications) for diverse user groups which embodies both interaction design as well as user experience. My research utilizes Design Thinking (empathize, define, ideate, prototype, test) as a method to approach the complex problems encountered during the product development and user acquisition phase. My passion is connecting people with information and building models and systems that help connect people with information that fulfills their information seeking needs. Holistically my research aims to understand how user experience impacts the overall goals and missions of an organization.
At the heart of research interest is understanding information, which broadly connects the traditional library science and computation tools. Among those disciplines, narrowed scope of research centers around information organization as well as NLP and text mining.
My research interests focus on interactions and behaviors in online environments. Specifically, I am interested in understanding the leadership processes and practices in online spaces by exploring what environmental structures help or hinder the leadership process, the differences or similarities to online leadership practices as compared to real life practices, and general information behavior in groups.
My current research is focused on computational social sciences in which I use natural language processing, machine learning, and network analysis to extract meaningful information from (online) text. I am particularly interested in analyzing social discourse (i.e.: social media, reviews and news articles) and developing computational models to better understand behavior, psychology, and culture of people in real world.
My research primarily focuses on institutionalized bigotry in classification systems, especially with regards to queer and trans issues. I am also interested in where intersectional approaches are, and are not, found in library work.
My research interest lies in the intersection between people and technology. By examining how people innovate with technology in a community or social setting, I am able to build on existing theoretical stance that a social setting is not only needed for the diffusion of innovation but also for its creation. For my dissertation, I am studying collaborative innovation among startups located across general and niche-based business incubators. A business incubator, in my research, is positioned as a social setting providing an opportunity for interactions beyond the formality of the workplace. Therefore, I focus on the interaction between startup owners within this social setting, specifically examining the influence of incubator in fostering collaborative innovation.
Investigating humanitistic problems using a variety of computational methods, including text mining, machine learning, and social network analysis. Interested in applying such methods to subjects ranging from Chinese history to English poetry.
I am currently studying applications of entity linking to information retrieval. That is, how can we use information derived from mentions of people, places, things, and ideas in documents and queries to help us improve the performance of retrieval systems.
My research interests include multicultural representation in youth literature; library services for teens (collections, programming, teen spaces, and evaluation of services offered); everyday life information-seeking behaviors of teens; public libraries as informal learning centers; and library leadership and management.
My current focus is on the temporal aspects of relevance. This includes the exploration of what it means for a query to be temporally sensitive as well as techniques for incorporating temporal information from queries and document collections into general retrieval models.