Activities
Activities
| Week | Research Activities | Student Deliverables | Development Workshops | Development Activities | |
| 1 | Problem exploration and research plan formulation | Onboarding and required trainings (e.g. RCR, active learning tutorials, RIT Research Computing, etc.) | |||
| 2 | Data analysis workshop: Statistics for the Scientist Session 1 | Teaching-to-Mentoring Bridge Series | Journal club | ||
| 3 | Design and implementation of generative-AI computational or user study frameworks | Lightning talks - lay out research ideas and goals to faculty and student peers | Mentoring Café | ||
| 4 | Data analysis workshop: Statistics for the Scientist Session 2 | Seminar on Grant Writing for NSF GRFP | |||
| Public Stem Outreach | |||||
| 5 | Preliminary written technical report | Dissemination: Best Practices Retreat on talks, posters, written reports, and peer review | Industry field trip | ||
| Q&A with computing PhD program director | |||||
| 6 | Computational experiments, data analysis with visualization and interpretation | Development workshops and activities are front-loaded so students can focus entirely on research and deliverables in final weeks | |||
| 7 | Project visual | ||||
| 8 | Achievement talks - present research findings to faculty and students peers | ||||
| 9 | Dissemination and external feedback | Final written technical report and presentation at RIT Undergraduate Research Symposium | |||
REU Site: Computational Sensing for Human-centered AI
(2016-2018, 2019-2024, 2025-2028)
Rochester Institute of Technology
This material is based upon work supported by the National Science Foundation under Award Nos. IIS‐1559889, IIS-1851591, and CCF-2445028.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.