This project will focus on real-world problems where underrepresented, rare (abnormal) examples play critical roles, such as defective silicon wafers resulting from a new semiconductor manufacturing process and rare but severe complications (e.g., kidney failure) among diabetes patients.

"This problem of explainable rare category analysis was motivated by my collaboration with IBM…

This project is intended to reduce the real and perceived danger to science and society when retracted research is mistakenly circulated within the digital scholarly record. The goal is to build more confidence in scientific discovery. Retraction alerts readers to unreliable scholarly material and is intended to remove that information from the citable record. Harm can result when faulty…

The ACCORD cyberinfrastructure project at the University of Virginia successfully developed and deployed a community infrastructure providing access to secure research computing resources for users at under-served, minority-serving, and non-PhD-granting institutions. ACCORD is built around balancing security with accessibility. While the ACCORD expedition achieved its technical and operational…

Scientific and technical information is often translated for the public, by knowledge brokers such as journalists, Wikipedia editors, activists, and public librarians. This project will research how knowledge brokers assess the quality of scientific and technical information and the implications for public access, information literacy, and understanding of science. The project will use case…

Knowledge commons refer to the institutionalized community governance of sharing, creating, and curating a wide range of intellectual and cultural resources. This project will establish a Research Coordination Network (RCN) designed to build a research community that will advance these scientific principles. In doing so it will aid in the development of empirical and theoretical insights into…

This project is a collaboration with Harvard University and the Astrophysics Data System (ADS), a digital library portal operated by the Smithsonian Astrophysical Observatory (SAO) under a NASA grant. With over 15 million records, ADS is one of the most important archives in the scientific field of astronomy.

"Newer documents are ‘born digital,’ making them machine-readable and…

This NIH-funded project focuses on machine learning approaches for translating transdermal alcohol content (i.e., alcohol measured from a person’s skin) into blood alcohol content (“BAC”). Modern transdermal sensors are small, easy to use, and measure transdermal alcohol content frequently, but lag behind typical measures of BAC (especially breathalyzers) in terms of accuracy. This project…

Full title: CAREER: Towards Reliable and Optimized Data-driven Cyber-Physical Systems using Human-centric Sensing

Participatory science has opened opportunities for many to participate in data collection for science experiments about the environment, local transportation, disaster response, and public safety. The nature of the collection by non-scientists on a large scale carries…