Projects

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A Metacognitive Calibration Intervention Powered by Fair and Private Machine Learning

Time frame
2022-Present
Investigators
Dong Wang, Nigel Bosch
Total funding to date
$850,000.00
Funding agency
National Science Foundation

Students in college are often expected to do a considerable amount of studying and learning outside of class hours, especially in online courses, which requires a high degree of self-regulation and metacognitive knowledge to study effectively. However, there are few opportunities for specifically learning self-regulation and metacognitive skills, especially early on in courses while there is…

fingers on keyboard

Advancing STEM Online Learning by Augmenting Accessibility with Interactive Companionship

Time frame
2021-2024
Investigator
Yun Huang
Total funding to date
$526,006.00
Funding agency
National Science Foundation

Full title: Collaborative Research: Advancing STEM Online Learning by Augmenting Accessibility with Interactive Companionship

Videos are a popular option for online learning, and captions are essential for accessibility. Two types of captions exist: typical closed captions and explanatory captions. Closed captions…

interactive companionship

AEOLIAN (Artificial Intelligence for Cultural Organizations)

Time frame
2021-2023
Investigator
Glen Layne-Worthey
Total funding to date
$49,820.00
Funding agency
National Endowment for the Humanities

Many digital archival collections are limited due to factors such as privacy concerns and copyright. AEOLIAN combines innovative AI methods and the knowledge of scholars from multiple cultural institutions to address the accessibility of these collections, ultimately making them more accessible. Additionally, the project aims to foster collaboration amongst scholars and practitioners from…

artificial intelligence

AI Institute Artificial Intelligence for Future Agricultural Resilience Management and Sustainability (AIFARMS)

Time frame
2020-2022
Investigator
Jingrui He
Total funding to date
$7,909.00
Funding agency
National Science Foundation

This project brings together researchers in AI and agriculture, combining their expertise to promote advances in agriculture through AI. AIFARMS mission is to use core AI research areas such as computer vision, machine learning, data science, soft object manipulation, and intuitive human-robot interaction to address major challenges in agriculture:

  • Sustainable intensification…
AI farms

Alliance for Internet of Battlefield Things (IoBT) Research on Evolving Intelligent Goal-driven Networks (REIGN)

Time frame
2017-Present
Investigator
Jana Diesner
Total funding to date
$407,365.00
Funding agency
Army Research Lab

Will distributed computing revolutionize peace?
In the future, military operations will rely less on human soldiers and more on interconnected technology, leveraging advancements in unmanned systems and machine intelligence in order to achieve superior defense capabilities. The Internet of Battlefield Things (IoBT) will connect soldiers with smart technology in armor, radios, weapons,…

Soldier

Assessing Impact Patterns in Research Texts Applying Corpus Driven Methods (Text Transfer)

Time frame
2020-2023
Investigator
Jana Diesner
Total funding to date
$164,732.00
Funding agency
Federal Ministry of Education and Research (Germany)

A continuation of a previous pilot study, this project aims to detect transferrable knowledge across several domains. In the pilot study, the researchers demonstrated the feasibility of this idea by using inductive and deductive methods to identify relevant impact categories and patterns for the domain of electromobility. These methods included interviews, information extraction, natural…

text transfer

Assessing the Impact of Media Polarization on Public Health Emergencies

Time frame
2020-Present
Investigator
Jodi Schneider
Total funding to date
$10,000.00
Funding agency
Cline Center for Advanced Social Research

Media plays a big role in how citizens evaluate public health emergencies. This project seeks to understand how public health emergencies such as the COVID-19 pandemic and the opioid crisis are reported. In order to assess the polarization and politicization of U.S. news coverage, we are comparing news by political leaning (left, center, right) as segmented by AllSides media bias ratings. We…

newspaper words

BD Hubs: Collaborative Proposal: Midwest: Midwest Big Data Hub: Building Communities to Harness the Data Revolution

Time frame
2019-Present
Investigator
Catherine Blake
Total funding to date
$2,883,274.00
Funding agency
National Science Foundation

The Midwest Big Data Hub (MBDH) is a network of regional institutions created to facilitate collection, management, and use of complex information, creating active partnerships of experts and resources to address issues relevant to life in the Midwest.

MBDH aims to help member organizations working in Big Data coordinate…

Midwest Big Data Hub

Big Data-Theoretic Approach to Quantify Organizational Failure Mechanisms in Probabilistic Risk Assessment

Time frame
2015-Present
Investigators
Zahra Mohaghegh, Catherine Blake
Total funding to date
$899,663.00
Funding agency
National Science Foundation

Catastrophic events such as Fukushima and Katrina have made it clear that integrating physical and social causes of failure into a cohesive modeling framework is critical in order to prevent complex technological accidents and to maintain public safety and health. In this research, experts in Probabilistic Risk Assessment (PRA), Organizational Behavior and Information Science and Data…

Broadening Access to Text Analysis by Describing Uncertainty

Time frame
2020-Present
Investigator
Ted Underwood
Total funding to date
$73,122.00
Funding agency
National Endowment for the Humanities

A project to study errors and paratextual noise in optically transcribed digital library texts, and the consequences of these errors on historical and humanistic conclusions measuring trends across time.

The noise associated with digital transcription has become an important obstacle to humanistic research. While the errors in digital texts are easily observed, the…

describing uncertainty in research