The REU/RET program focused on computational mathematics for reconstructing, analyzing, segmenting, and generating images. The research work is a collaborative effort between a group of undergraduate students, in-service math teachers, and mathematics faculty from Emory University. Four different research groups worked together on different projects under the theme “Learning from Images.” This provided undergraduate students and math teachers from around the nation numerous learning opportunities and a chance to conduct research in this area. Teachers were involved in research and able to create teaching materials that they can use in their classroom.
| Date | Topic | Speaker |
|---|---|---|
| May 24 | Welcome, introductions, orientation | Lars Ruthotto |
| June 1 | Group discussions on expectations | Bree Ettinger |
| June 7 | Data and ethics | Lance Waller and John Banja |
| June 14 | Scientific Writing | Bree Ettinger |
| June 21 | Algorithmic bias | Shalmali Joshi |
| June 28 | Presentation skills: How not to give a talk | Elizabeth Newman |
| July 5 | Cloud Computing in Data Science | Jeremy Jacobson |
| July 12 | Public scholarship | Carol Clark |
| July 19 | Careers in Data Science Panel | Samy Wu Fung, Clarissa Garvey, Marta D’Elia |
| July 26 | Summary and reflection | Bree Ettinger |
To facilitate interactions across the teams and interactions with other faculties, our site emphasizes cohort activities. Even though the program ran virtually this year, the mentors and participants engaged in various formats. We held daily writing labs, midterm presentations, ad-hoc talks on various topics, and social events. The latter were organized by the participants themselves who got really creative and organized different virtual events such as reversi and jack box games, movie nights, chopped night, hot-takes presentations etc.
Learning from Images