Congratulations to 2024-25 TDAI Research Pilot Grant teams
The Translational Data Analytics Institute congratulates the teams who received the 2024-25 TDAI Interdisciplinary Research Pilot Awards:
- David Melamed (TDAI; Sociology, ASC) and Andrew Perrault (Computer Science and Engineering, COE)
Project: Can Artificial Intelligence Help Us Solve Social Dilemmas? - Bin Gu (Neuroscience, COM), Olga Kokiko-Cochran (Neuroscience, COM), and Ping Zhang (TDAI; Biomedical Informatics, COM; Computer Science and Engineering, COE)
Project: Interpretable Deep Learning of encephalography (EEG) for automatic prediction of post-traumatic epilepsy - Mahdi Khalili (TDAI; Computer Science and Engineering, COE) and Xia Ning (TDAI; Biomedical Informatics, COM; Computer Science and Engineering, COE)
Project: Interpretable Medical Diagnosis with Multi-modal and Higher-order Attention Mechanism - LeBron Paige (Neurology, COM), Jingbo Meng (Communication, ASC), Emre Sezgin (Pediatrics, COM), Lucretia Long (Neurology, COM), and Ting Zhu (Computer Science and Engineering, COE)
Project: EpiBot - An AI-based Chatbot to Interactively Guide Patients in Acute Care Decisions During Epileptic Seizures - Ping Zhang (TDAI; Biomedical Informatics, COM; Computer Science and Engineering, COE), Sayoko Moroi (Opthalmology, COM), and Maged Costantine (Obstetrics and Gynecology, COM)
Project: Predicting preeclampsia from multimodal EHR data and retina imaging - Xueru Zhang (Computer Science and Engineering, COE) and Bingjie Liu (Communication, ASC)
Project: Towards Fair Automated Hiring in Practice
The TDAI research pilot grant program supports big data-enabled, interdisciplinary collaborations among researchers at Ohio State that have translational potential to benefit the greater good. The two-year awards include up to $50,00 for direct costs to obtain preliminary data or develop a proof of concept that will result in an extramural grant application. In funding the awards, special consideration is given to projects that address responsible data science; health and well-being; the environment, climate and sustainability; and foundations of AI and data science.
The next call for pilot proposals will be issued in autumn 2025.