Academic Year 2022-2023
- Incentives for TIDES instructors to develop data courses/modules
- Undergraduate Grants
- $29,489 funded through Newcomb-Tulane College’s Office of Academic Enrichment's grant program in Academic Year 2022-2023
- Collaboration on Data Workshops with H-TML
- The library has a series of workshops, many of which deal with data, and we are co-funding this series and will also start offering additional workshops to bolster the series.
- Collaboration with the Newcomb Institute on building “The Lab”
- Graduate Student Grants
- Dissertation research funding for 38 grad students
Introduction to Data (DATA 1010) and Other Courses
- Now featured on Fall 2023 schedule
- Open to all students (any school, no prerequisites)
- Satisfies “Formal Reasoning” core requirement
Professor of Practice Hiring
- Lisa Dilks
- Jacquelyne Thoni Howard
- We will hire another Professor of Practice this academic year, who will start Fall 2024.
- Senior Program Manager: Joey Couvillon
- Program Coordinator: Meg Keenan
- We also have hired some student workers and plan to significantly increase student hiring.
Academic Year 2023-2024 and Beyond
Planned Programming / Ideas
- Develop programming to support instructors teaching data. Ideas include:
- Small grants to develop course modules involving data, larger grants for entire courses focused on data.
- Funding to hire teaching assistants.
- Consulting services and “ready to go” data sets or modules to help instructors develop ideas and more easily integrate data into courses.
- Working with the Center for Public Service to provide additional support and incentives to develop service learning courses or activities.
- Develop programming to support students in data-focused courses. Ideas include:
- Funding for instructors for TAs or peer mentors for their data-focused courses.
- Drop-in peer tutoring center for students that need help with data, stats, or basic computer issues
- A “help desk” for students – extending to faculty, staff, and graduate students in the future.
- Providing additional support to honors theses that involve data collection/analysis.
- Develop service learning courses.
- Create certificate, minor, and majors in data science, accessible and applicable to students in all fields of study.
- Develop programing to support data science research. Ideas include:
- Additional funding to undergraduate and graduate students for student-led research.
- Funding for faculty for research that involves students.
- Seed funding for faculty preparing external grant proposals.
- Providing workshops and seminars on data science.
- Providing mentoring and support to faculty using data, such as peer mentors or a “help desk”.
For more information on our longer-term plans and our assessment of our programming and goals, please see the Quality Enhancement Plan (QEP).