The Institute for Data-Intensive Engineering and Science (IDIES) is committed to helping meet the needs of student researchers as a growing number of undergraduates undertake their own data-intensive research.
Through the annual Summer Student Fellowship (SSF), IDIES offers students $6,000 in funding to complete 10-week research projects from June to August.
Eligible projects must involve data science and data-intensive techniques, have mentorship from a current IDIES member, and be entirely student-led and student-designed.
The ideal SSF project:
- Relates to the IDIES mission: To enhance the JHU mission of "Knowledge for the World" by providing intellectual leadership in data-driven science: research and education in adaptive technologies; technical and domain expert guidance via collaboration and consultation; open and sustainable long-term access to high-value datasets
- Encompasses the potential to advance knowledge
- Challenges and seeks to shift current research/practice by utilizing novel concepts, approaches, or methodologies
- Benefits society and contributes to the achievement of specific, desired societal outcomes
From the many applications we received, the following three student researchers were selected based on their project proposals and previous work within their field.
The IDIES 2023 SSF recipients are:
Jay Kim
Intelligent Microscopy Methods for Characterizing Intermediate States Using Electron Energy Loss Spectroscopy (EELS)
Sampath Rapuri
Development and External Validation of a Machine Learning Model for Pulmonary Embolism
William Shiber
AFLUX@JHU: Materials Search-API for the JHU aflow.org Data Repositories
IDIES would like to congratulate this year's Summer Student Fellows and is excited to be part of their work. To read more about this year's fellows, including project summaries, click here.
If you would like to learn more about the IDIES SSF program, click here.
