RET Site: Computational Mathematics for Data Science, Summer 2021
Research Experience for Undergraduates / Pre-college students and teachers
Subject to the approval of funding the Research Experience for Teachers (RET) Site Computational Methods for Data Science within the Department of Mathematics at Emory University has several funded opportunities for in-service high school teachers to participate in summer research. The site will be held in conjunction with the Emory Research Experience for Undergraduates that provides additional funding for college students currently enrolled at US institutions.
Our site’s core activity is a six-week on-site research and training will be hosted at Emory University in Atlanta, GA. This activity is preceded by a three-week virtual pre-REU/RET phase that focuses on team building, on-demand teaching of advanced mathematical concepts, and finalizing the design of the research projects. During the on-campus phase, the teams will work on their research project and receive mentorship from faculty, postdocs, and graduate students. The pre-REU/RET phase will start on May 24 and the on-campus phase will begin on June 14. Supported participants will receive a stipend of $6,000.
We particularly encourage women, teachers from underrepresented groups, and teachers who were first-generation college students.
** 2021 Theme: “Learning from Images” **
The amount of imaging data generated on a single day, let alone a year, exceeds human imagination. With their ability to statistically analyze such large datasets, computational algorithms can enhance our ability to discover patterns. Key advances in image classification, image segmentation, and object recognition have fueled applications like image search and self-driving cars. In the medical realm, computational approaches have led to efficient and accurate diagnostic tools, support of treatment decisions, and accelerated drug discovery.
Our theme sheds light on the mathematical methods behind the above success stories and our projects seek to bring similar advances to new applications. Some projects will develop machine learning (ML) approaches for analyzing image datasets, others will develop partial differential equations (PDE) models for image processing. Our projects are interdisciplinary and involve leading experts from Emory’s School of Medicine (SoM).
For additional information about the theme and projects visit http://www.mathcs.emory.edu/site/scicomp/REURET/
** Prerequisites and Expectations **
The research projects are accessible to teachers and undergraduate students with a strong background in Linear Algebra, Vector Calculus, Differential Equations and elementary programming experience. To help participants learn other project-specific materials, our site includes a comprehensive research training plan. Our activities include professional development, a weekly lunch seminar, and social excursions in the Atlanta area.
**Eligibility:**
- Teachers must be currently teaching K-12 at a US institution, and have US citizenship or permanent residency.
- Teachers must be available between June 14 and July 30.
**Application Materials:**
All applications must be submitted through mathprograms.org. All applications received by March 1 will receive full consideration.
- Resume / Curriculum Vitae (including a list of relevant coursework and experiences)
- Statement of Interest (discussing experiences and skills related to the program, motivation for the program,...)
- Two Reference Letters, one of which should be from your school principal or supervisor (to be submitted by the reference writers at this site)
Emory University, Department of Mathematics
https://www.ams.org/opportunities/view/listing?listing_id=492747