Jiaqi Ma's $660,307 grant aims to develop tools for understanding how individual components of training data affect large AI systems. This project will improve the performance and reliability of widely used technologies like language models and recommendation systems.
The VERITAS project establishes AI Assurance as a core function of scientific research infrastructure to document, review, and stress-test AI systems. It aims to develop practical methods for detecting vulnerabilities before they compromise scientific results.
A new book by University of Illinois professor Colin Rhinesmith explores how community coalitions address digital inequality and social injustice. The book, titled Digital Equity Ecosystems, presents five case studies of cross-sector coalitions working to promote digital inclusion and combat technological inequity.
The new project aims to build self-regulating AI agents that can recognize uncertainty, explain their decisions using past experience, and improve their understanding of the world through corrective feedback. The goal is to make future physical AI systems more trustworthy and useful in real-world settings.
The project aims to help universities better understand research security by examining human and behavioral dimensions of risk. Structured role-playing games will simulate realistic academic scenarios, encouraging participants to explore trade-offs and motivations that often remain hidden in standard security planning.
The Routledge Handbook of Information History provides a comprehensive study of how society, politics, culture, and technology have shaped information practices over time. The book features contributions from over forty experts worldwide and offers surprising insights into the emergence and development of the field of information history.
The book offers novel human-centered AI techniques to address social intelligence challenges, including multimodal approaches and explainable AI designs. Researchers can integrate artificial and human intelligence to tackle complex social challenges.
The project aims to develop personalized technologies that promote lifelong learning in various educational settings. It will guide the creation of IR systems that can effectively support users with complex information needs and foster information literacy.
A new book by Anita Say Chan connects the eugenics movement to Big Tech's predatory data collection methods, targeting minoritized populations for profit. The book shares lessons from global justice-based data initiatives and earlier feminist and minority movements who resisted eugenic models.
A new project, 'Crowd-Assisted Human-AI Teaming with Explanations,' aims to develop an interactive AI system that leverages the collective strengths of human crowd workers and machine learning models. The researchers will use crowdsourcing platforms to recruit experts and non-experts to perform tasks, making the system more robust and ...
A new four-year, $459,000 grant will develop software and hardware tools to increase accessibility in STEM fields for persons with disabilities. The project aims to enhance data technologies for blind and low-vision users, making it easier for them to participate in STEM research and education.
A new study published in JAMIA found that large language models (LLMs) respond variably to users' motivations, with better results for committed individuals. LLMs struggle to provide relevant information and support for those hesitant to change behavior, highlighting a major gap in their capabilities.
A recent study by Kate McDowell found that librarians face obstacles such as fear of data and time constraints when using data storytelling. To overcome these barriers, McDowell suggests prioritizing storytelling before data storage to make the most of data collection.
A new project by JooYoung Seo at the University of Illinois School of Information Sciences aims to make data curation more accessible for everyone, regardless of abilities. The three-year grant will connect multimodal data representation with day-to-day reproducible workflows, enriching understanding and offering multiple perspectives.
A new project aims to examine the circulation of newspaper reports on anti-Black violence between 1863 and 1921. The team will use computational methods to trace how stories spread across the country and map their impact, with potential applications for studying other forms of racial violence.
A new two-year project is being launched to reduce the spread of retracted research and improve confidence in scientific discovery. The goal is to create a system that can signal retraction status consistently to humans and machines.
A new $1.328M grant will help assess and improve the reporting quality in randomized clinical trial protocols and result publications using NLP methods. The goal is to promote high reporting standards, synthesizing evidence, and open science practices throughout the scientific ecosystem.
A new project aims to develop resources and AI models to assess biomedical publications for citation accuracy and integrity, benefiting researchers, journals, and policymakers. The project, led by Associate Professors Halil Kilicoglu and Jodi Schneider, received a $300,000 grant from the US Department of Health and Human Services.
A new project led by University of Illinois researchers aims to empower librarians with a toolkit for creating data-driven stories. The initiative, backed by an $99,330 grant, will provide easy-to-use templates for visualizing and structuring data narratives.
A new University of Illinois project aims to improve undergraduate students' ability to estimate their knowledge using artificial intelligence methods. The researchers will utilize machine learning to anticipate student performance and provide personalized feedback to enhance studying strategies.
The project seeks to create accessible maker programs for blind and visually impaired learners, developing training materials for librarians and maker professionals. The initiative aims to enhance BVI learners' computational thinking skills and STEM interests, while helping librarians become more confident in working with BVI populations.
The University of Illinois School is awarding a grant to explore the use of conversational AI in libraries, aiming to strengthen engagement between libraries and diverse audiences. The project will investigate ways to democratize conversational AI for librarians, enhancing workforce development and community service.
A three-year study found that librarian-teacher co-teaching significantly facilitates learner-centered instruction, such as maker learning and inquiry learning, across all levels of schools. School librarians played a crucial role in making these individualized learning opportunities possible by using various instructional methods.
A new project led by University of Illinois professor Jingrui He seeks to detect and predict insider threats in large organizations. The team will use multimodal data to identify outliers and rare category types of insider threats and propose dynamic update techniques.
A new project led by Assistant Professor Yun Huang is developing technologies to improve the accessibility of online STEM learning for deaf and hard-of-hearing students and non-native English speakers. The project will create effective Q&A mechanisms and interaction designs, including chatbots, to enable collaborative caption generation.
Yang Wang's research focuses on usability of privacy technologies and artificial intelligence. Researchers will conduct semi-structured interviews, surveys, and co-design sessions with users from India and Bangladesh about their experiences with targeted ads.
The HTRC will create a framework for researchers to build and implement their own tools to access the HathiTrust data more directly. The project aims to enable users to interact with the rich data extracted from the HathiTrust Digital Library's collection of over 17.5 million digitized volumes.
A new project aims to improve the performance of Graph Neural Networks (GNNs) by leveraging weak supervision and additional information. The research has potential applications in fraud detection, agriculture, and cancer diagnosis.
A new project led by University of Illinois researchers will develop machine learning models to predict the reactivity of thousands of organic contaminants in engineered and natural environments. This will help scientists better model pollutant fate and transport, leading to more accurate contaminant risk assessments.
The new project aims to bridge the gap between complex rare category analysis and state-of-the-art techniques. It will focus on developing explainable methods for detecting defective silicon wafers and severe complications among diabetes patients.
A new grant will help libraries increase information literacy around scientific information by analyzing knowledge brokers' assessment of technical and scientific info. The project aims to develop services that enable consumers to discern reliable sources and process information effectively.
A new project aims to empower people who are blind to independently review and protect their personal visual content from accidental privacy leaks. Researchers have developed novel computer vision algorithms that can detect sensitive information in images and videos, allowing users to blur or remove private content before sharing.
A new study examines vaccination misinformation on social media, revealing that fear-provoking messaging fuels its spread. The research team developed predictive models to identify true and false information on Twitter, categorizing messages as positive or negative cause-effect statements.
Researchers develop crowd-assisted deep learning system to analyze disasters, integrating human intelligence with AI models for better results. The project aims to improve AI's interpretability and accuracy in disaster assessment applications.
Researchers develop hands-on labs to educate high school students about AI and cybersecurity ethics issues, aiming to increase empathy for vulnerable populations. The project uses functional near-infrared spectroscopy to assess the impact of these labs on brain regions associated with empathy.
A new project, 'The Reading Time Machine,' aims to digitize predigital scientific literature in astronomy, extracting text and figures to enhance searchable capabilities. Researchers will use optical character recognition and object detection methods to parse tables, figure captions, and science-relevant information.
A new digital health solution aims to promote COVID-19 vaccination among patients with compromised health conditions like multiple sclerosis. Motivational Interviewing Conversational Agent MintBot will address vaccine hesitancy and facilitate immediate action.
A new paradigm for usability aims to address accessibility issues worldwide, with a focus on marginalized groups. The approach emphasizes the importance of user-centered design and its potential to drive improvements in various fields.
A University of Illinois project aims to improve youth health data literacy through a two-year program. Fifteen teens from across the state will participate, conducting needs assessments and presenting findings to local audiences.
A new study explores the link between health literacy and self-care in patients with chronic illness, revealing a strong correlation between the two. The researchers found that improved health literacy is associated with better medication adherence and overall health outcomes.