Research Experiences in Big Data and Machine/Deep Learning for OK STEM Teachers

Jaime WaltonEducators, Events, Front Page, PD Opportunity

In this National Science Foundation Research Experience for Teachers (NSF-RET) program, high school and community college teachers will be guided by Oklahoma State University Department of Computer Science faculty to work on a 6-week summer program focused on Machine/Deep Learning research projects. Teachers can choose from a variety of interdisciplinary data science projects. Examples of projects include: computational viral evolution, COVID-19 knowledge graphs, social medial polarization, adversarial attacks in machine learning, healthcare time-series data privacy, electronic health records, sleep disorder graphs, deep neural networks, and genome sequencing.

Program Dates & Design:
  • Virtual Pre-program, June 1-11: Meeting and working with OSU mentors to cover some simple background material
  • In-person Research Program, June 12-July 21 (M-F, 9AM-5PM): Conduct research on machine/deep learning projects under the supervision of OSU mentors
  • Post-program, July 21-April 30, 2024: Organize/participate and report in activities that will help you transfer the new knowledge learned during the summer to your students in school.
Location:

Oklahoma State University – Tulsa campus

Stipend:

Educators will be compensated $8,000 for full participation and submission of all deliverables. $5,000 will be awarded per teacher for completion of the Pre-program and RET Program. An additional $3,000 per teacher will be awarded for completion of the Post program, including implementing two activities at the teacher’s school site. Participants are responsible for their own travel, meals, and lodging expenses.

Participants:

Preferred candidates will have some knowledge of computer programming, particularly Python. This program is open to high school and community college teachers, with preference given to teachers who teach computer science, biology/health sciences, mathematics, and social sciences.

Participants are required to attend the entire Pre-program and Research sessions and to participate in follow-up Post-program activities during the school year. The participants are also expected to remain in communication with the OSU mentors as Post-program activities are implemented and create a short report for each activity. This is a rigorous program, and teachers will have several deliverables throughout the program, including curriculum development, lesson plans, and an implementation plan. Failure to attend all dates or complete deliverables will result in stipend loss.

Applications will be reviewed on a rolling basis and will remain open until April 30th or until capacity is met. Teachers who have participated in the program in previous years are not eligible to apply.

For questions, contact Dr. Rittika Shamsuddin at r.shamsuddin@okstate.edu.

Apply here!