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Announcing the 2024 IDIES Seed Funding Awardees

Every fall, The Institute for Data-Intensive Engineering and Science (IDIES) offers its members the chance to receive up to $25,000 in grant funding for eligible data-intensive research projects.

The goal of the Seed Funding initiative is to provide pilot funding for data-intensive computing projects that:

(a) will involve areas relevant to IDIES and JHU institutional research priorities;

(b) are multidisciplinary; and

(c) build ideas and teams with good prospects for successful proposals to attract external research support by leveraging IDIES intellectual and physical infrastructure.

IDIES is excited to support the following researchers and their work in 2024:

Michael F. Bonner & Brice Menard

Krieger School of Arts & Sciences

Exploring uncharted dimensions of human brain representation

Tamas Budavari & Dr. Rohan Mathur

Whiting School of Engineering; School of Medicine

Hybrid Statistical AI for Identifying Neurosurgery Patients in Need of Critical Care

Paulette Clancy

Whiting School of Engineering

Playing with Chemical Lego Blocks: Rational Design of Semiconducting Polymers for Thermoelectric Materials

Dr. Kemar Green

School of Medicine

Generating Digital Ocular Motor Biomarkers for Deep Learning-Based Neurologic Phenotyping

Adam Sheingate

Krieger School of Arts & Sciences

The Global Elections Dashboard: Harnessing Data Science to Enhance Electoral Oversight

Previous Seed Recipients

Please join us in congratulating our 2024 Seed Funding cohort. We look forward to following these researchers and their work through this year and beyond.

IDIES is a major interdisciplinary program, a large, diverse effort, where faculty and students work together to solve data-intensive problems, from genes to galaxies to materials science and urban planning. 

The IDIES funding programs seek to encourage new ideas and grow these efforts across the university, while giving JHU researchers and students the opportunity to expand their data science analysis and projects to the next level.