I2DSR REU

Welcome to the Cohort Page for the Research Experience for Undergraduates (REU) program!

This page is dedicated to providing information and updates for all participants in the program. Here, you will find details about the program schedule, upcoming events, research projects, and resources to help you make the most of your REU experience. We encourage you to use this page to connect with your fellow cohort members, share insights and experiences, and stay informed about program activities. We are excited to have you as part of the REU cohort and look forward to a productive and rewarding experience together!

Our I2DSR Research Experience for Undergraduates (I2DSR REU) Summer program will provide opportunities for undergraduate students to conduct interdisciplinary research during a virtual 10-week synchronous program. The program aims to support new undergraduate researchers during their first research experience. Participants will attain an immersive research experience in which they will participate in training and research activities within the context of their research project, participants will develop and apply practical research skills, like reading and interpreting research papers, conducting literature reviews, and analyzing and presenting data. Students will hone their research comprehension and communication skills, develop an understanding of research ethics, and build their confidence in their identity as a researcher. The program will be thematic designed to apply knowledge and skills of data science and machine learning to real world problems from an interdisciplinary perspective.
This REU does not require prior research experience.

"Bridging Disciplines, Advancing Data Science." — I2DSR

Students will gain research experience in problem-solving by exploring the foundations of research (i.e., read existing peer-reviewed works, oversee a literature review, steer experiments, apply data science technologies in data collection, perform ETL (data extraction, transformation and loading), usher exploratory data analysis (EDA) and leverage existing machine learning models for modeling. Moreover, over the duration of the REU program, participants will enhance their research, communication, and teamwork abilities. Additionally, they will explore the societal, ethical, and cultural implications addresses by their projects.

NOTE: Students DO NOT need to hold any specific nationality, nor do they need to identify as any specific gender to be considered for this program; however, they MUST be attending a North American-based institution.