Projects

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The Whole Tale

Time frame
2016-Present
Investigators
Bertram Ludäscher, Matthew Turk
Total funding to date
$4,986,951.00
Funding agency
National Science Foundation

Scholarly publications today are still mostly disconnected from the underlying data and code used to produce the published results and findings, despite an increasing recognition of the need to share all aspects of the research process. As data become more open and transportable, a second layer of research output has emerged, linking research publications to the associated data, possibly along…

Towards a Computational Framework for Disinformation Trinity: Heterogeneity, Generation, and Explanation

Time frame
2020-Present
Investigator
Jingrui He
Total funding to date
$319,568.00
Funding agency
Arizona State University

This project will study foreign influence via the lens of disinformation on news media from a computational perspective. The researchers will use Explainable Heterogeneous Adversarial Machine Learning (EXHALE) to address the limitations of current techniques in terms of comprehension, characterization, and explainability.

code on a computer screen

Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates from New-Generation Transdermal Technology using Large-Scale Human Testing and Machine Learning Algorithms

Time frame
2021-Present
Investigator
Nigel Bosch
Total funding to date
$21,267.00
Funding agency
National Institutes of Health

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…

wine glass on a table

Towards Reliable and Optimized Data-driven Cyber-Physical Systems using Human-centric Sensing

Time frame
2021-2024
Investigator
Dong Wang
Total funding to date
$543,087.00
Funding agency
National Science Foundation

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…

human-centric sensing

Understanding the Needs of Scholars in a Contemporary Publishing Environment

Time frame
2015-Present
Investigator
Allen Renear
Total funding to date
$1,000,000.00
Funding agency
Andrew W. Mellon Foundation

“Understanding the Needs of Scholars in a Contemporary Publishing Environment,” better know as Publishing Without Walls (PWW), is a digital scholarly publishing initiative that is scholar-driven, openly accessible, scalable, and sustainable. PWW will directly engage with scholars throughout the research process. It aims…

Unpacking the Librarian's Cabinet of Curiosity

Time frame
2011-Present
Investigator
Bonnie Mak
Total funding to date
$6,500.00
Funding agency
University of Illinois Research Board

For over two millennia, librarians have played a critical role in the production and transmission of knowledge. They have helped to collect, catalogue, and curate a vast range of materials that constitute much of our cultural heritagefrom epic poetry on papyrus scrolls to PDFs of scholarly articles. This project interrogates these practices by building a…

Weakly Supervised Graph Neural Networks

Time frame
2021-Present
Investigator
Jingrui He
Total funding to date
$149,921.00
Funding agency
National Science Foundation

Graph Neural Networks have proven to be a powerful tool for harnessing graph data, which is widely used for representing rich relational information in multiple areas. However, the performance of graph neural networks largely depends on the amount of labeled data, which is subject to an expensive and time-consuming annotation process. This creates data without labels, or a label scarcity.…

graph on a computer screen

Young Researchers: Collaborating With Youth and Libraries for Community Based Scholarship

Time frame
2018-Present
Investigator
Rachel M. Magee
Total funding to date
$484,570.00
Funding agency
Institute of Museum and Library Services

Understanding the value and process of research is a crucial skill for youth, who navigate an information landscape that includes a significant amount of misinformation and disinformation. Literacy approaches highlight the ability to create and share content as key competencies of literacy, but youth have few opportunities to engage in the scholarly research process to develop these skills in…

young researchers