Projects

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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

App Authors: Closing the App Gap II

Time frame
2014-2019
Investigators
Deborah Stevenson, Kate McDowell
Total funding to date
$248,205.00
Funding agency
Institute of Museum and Library Services

The focus of this three-year, multisite project is development of app-based curricula and tools for use in school and public libraries. These tools will teach children aged eight to twelve how to build their own apps, providing them with early programming experience, and allow them to share their creations with other children. The project further establishes libraries as places to engage youth…

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

CAREER: III: Modeling the Heterogeneity of Heterogeneity: Algorithms,Theories and Applications

Time frame
2019-Present
Investigator
Jingrui He
Total funding to date
$415,836.00
Funding agency
National Science Foundation

Nowadays, as an intrinsic property of big data, data heterogeneity can be seen in a variety of real world applications, ranging from security to manufacturing, from healthcare to crowdsourcing. Many high-impact data mining applications exhibit the co-existence of multiple types of heterogeneity, such as different classification tasks, different data sources, and different labeling oracles.…

modeling heterogeneity

CAREER: Inclusive Privacy: Effective Privacy Management for People with Visual Impairments

Time frame
2019-Present
Investigator
Yang Wang
Total funding to date
$255,203.00
Funding agency
National Science Foundation

Privacy or security mechanisms are usually designed with the generic population in mind. As such, they often fall short of supporting many under-studied or marginalized sub-populations, such as children, older adults, people with disabilities, activists, journalists, victims of crimes or domestic violence, and people from non-western or developing countries. The goal of this project is to…

inclusive privacy

Collaborative Research: Changes in Molecular Gas and Galaxy Properties Over Time in the Era of Integral Field Unit Surveys

Time frame
2016-Present
Investigator
Matthew Turk
Total funding to date
$267,664.00
Funding agency
National Science Foundation

Changes of a galaxy's properties over time are driven by the quantity of its cold gas, the raw material from which stars form. Thus, understanding the properties of a galaxy's cold gas component will tell us both how the star formation process changes over time and how this affects galaxies. Using a recently completed survey of carbon monoxide gas in a sample of nearby galaxies, the project…

galaxy

Collaborative Research: Accelerating Synthetic Biology Discovery & Exploration through Knowledge Integration

Time frame
2019-Present
Investigator
J. Stephen Downie
Total funding to date
$211,699.00
Funding agency
National Science Foundation

The scientific challenge for this project is to accelerate discovery and exploration of the synthetic biology design space. In particular, many parts used in synthetic biology come from or are initially tested in a simple bacteria, E. coli, but many potential applications in energy, agriculture, materials, and health require either different bacteria or higher level organisms (yeast for…

synthetic biology

Collaborative Research: CDS&E: Renaissance Simulations Laboratory to Model and Explore the First Galaxies in the Universe

Time frame
2016-Present
Investigator
Matthew Turk
Total funding to date
$171,469.00
Funding agency
National Science Foundation

A great challenge in astrophysics is to understand in detail how the initial smooth distribution of matter in the early Universe formed the first galaxies. Complementing observations of real galaxies, researchers use computational simulations to model the early Universe and study the results. This process allows one to learn how these first galaxies might have formed. However, the sheer size…

galaxies and universe