Reproducibility

Analyzing the challenges to and environments favorable to fostering reproducible research

Researchers Working in this Area

Related Research Projects

Computational Methods, Resources, and Tools to Assess Transparency and Rigor of Randomized Clinical Trials

Time frame
2022-2025
Investigator
Halil Kilicoglu
Total funding to date
$1,328,502.00
Funding agency
National Institutes of Health

Randomized clinical trials are valuable in determining the effectiveness of health treatments. But problems with design, execution or reporting of the trial process can lead to unreliable findings, excessive costs, and, potentially, harm for patients. Associate Professor Halil Kilicoglu is leading a  team of computer/information scientists and clinical research methodologists in…

medicine

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

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

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