With support from the Environmental Chemical Sciences Program of the NSF Division of Chemistry, the researchers will develop machine learning models to predict the reactivity of thousands of organic contaminants (OCs) in engineered (water) and natural (soil and sediment) environments. To assess and mitigate risks associated with this vast number of OCs, accurate predictive models are needed to…

Mapping Information Access is a collaborative academic research project to study and understand the landscape of information access and availability in public schools and libraries in the United States.

There are more than 18,000 public school districts and more than 9,000 public library systems in the US. Each of these institutions is as a central node of information access for the…

The University of Illinois and Indian Trails Public Library District (ITPLD, Illinois) will collaborate on an exploratory project to provide the tools needed for the development of an initial framework and future toolkit for measuring the impact and value of public library makerspaces in the lives of users and the communities that libraries serve. Public libraries need to seek new ways of…

Full title: CC*DNI DIBBS: Merging Science and Cyberinfrastructure Pathways: The Whole Tale

Scholarly publications tend to be disconnected from the underlying data and code used to produce the published results, despite an increasing recognition of the need to share all aspects of the research process. As data has become more open and transportable, a second layer of research output…

Although standardized vocabularies and languages are often invoked as a way to ensure interoperability in the management of informational resources, these conventions prioritize particular ways of representing the world. This project situates metadata as an infrastructure of information, and examines how such descriptive practices have configured the production of knowledge for centuries—from…

This project will assist researchers and journals in evaluating citation behavior in biomedical publications. While citations play a fundamental role in the diffusion of scientific knowledge and assessment of research on a topic, they are often inaccurate (e.g., citation of nonexistent findings, inappropriate interpretation). This inaccuracy undermines the integrity of scientific literature…

People who are blind regularly use personal devices to take pictures and videos and share them with others. However, they often have no easy or independent means of assessing whether an image or video they are about to share inadvertently contains private information. For this project, an interdisciplinary team will design and evaluate an automated assistant that alerts users of privacy…

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…

When retracted papers are cited both before and after retraction, the scientific publication network inadvertently propagates potentially faked data, fundamental errors, and unreproducible results. Schneider's project will bring together a variety of stakeholders, including funders, editors, peer reviewers, authors, and publishers for interviews and a workshop. In addition to investigating the…