UMSI Assistant Professor Qiaozhu Mei is a contributing researcher on a project by Indiana University’s Center for Complex Networks and Systems Research to study early evidence of persuasion campaigns in online forums. The project, “Detecting Early Signatures of Persuasion in Information Cascades,” is funded by DARPA, the Defense Advanced Research Projects Agency of the federal government.
Information analysis and retrieval
UMSI Professor of Information Dragomir Radev joins Christi Merrill and Sidonie Smith from U-M’s College of Literature, Science, and the Arts on a project to develop a range of innovative applications that could make the interdisciplinary inquiries taking place through LSA’s Translation at Michigan efforts more engaging and fun.
In this project, UMSI Assistant Professor Qiaozhu Mei addressed the issue of text information overload generated from online conversations. Tools that effectively manage this information overload rely on statistical language models, yet the quality of these models is limited by the sparseness of data, the mismatch of context, and the incapability of modeling semantic relations.
UMSI Professor Carl Lagoze received a National Science Foundation grant to research the Cornell Lab of Ornithology’s eBird database to improve the quality of the data and examine the overall impact that the eBird project and citizen scientist behavior have on the broader scientific community.
The Socio-Technical Infrastructure for Electronic Transactions (STIET) program, funded by a National Science Foundation IGERT Award, brings together faculty and doctoral students from the University of Michigan and Wayne State University in research, training, and outreach, through an incentive-centered design (ICD) approach to modern information systems.
This project researched the development of a search query recommendation service for health practitioners and researchers to help professionals retrieve information from electronic health records more easily and efficiently when using full-text search engines. This recommendation service would also allow users to develop and refine search queries for more effective searches in the future.
This project is an interdisciplinary research effort investigating the effects of social identity on lender behavior in an online microfinance community (Kiva.org) and the selection of social identities. Social identity research in economics predicts that a noticeable group identity and group competition increases individual contribution to public goods.
This project, funded by a National Science Foundation CAREER Award, is the first integrative and in situ analysis of information generated in online communities that is of the people, by the people, and for the people. The user-centric Foreseer is the next generation of information analysis for online communities, with research that consists of formal community models, efficient data analysis tools, advanced solutions of real applications, and novel information systems.
With this project, Carl Lagoze examined the collaborative tendencies of the independent small research groups that characterize long-tail science.
This project, funded by a National Science Foundation EAGER Grant, will explore the development of a time-based aspect for analysis of scientific community structures and collaboration patterns.