Research and products

  1. Alexander, N. N., Appling, T., Banuelos, M., Bello, G., Brown, A., Century, J., Connor, K., Ji, H., Levy, R., Mitchell, P., Mongeau, D., Mysliwiec, M., Niu, J., Paykin, S., Quarkume, A., Schiffman, J., Skinner, L., Uminsky, D. & Zhong, P. (2024). Data Science for Social Impact in Higher Education: First Steps. Data.org Playbook. Available at: https://data.org/playbooks/data-science-for-social-impact-in-higher-education/
  2. Ballenger, H. J., Washington, T., Clark, R., Lockhart, J. W., Adebowale, J., Hearn, D., Dotson, E., Gaines, J., Bennett, V., Teodorescu, D., Alexander, N. N., Gilbert, N., Lamar, T., Morris, M., Neely, A., Borum, V., Ellis, V., & Johnson, K. (December 2023). Atlanta University Center Data Science Initiative - Data Science for K-12 Listening Session Report. Available at SSRN: http://dx.doi.org/10.2139/ssrn.4493108
  3. Jones, Q., Vindas Meléndez, A. R., Mendible, A., Aminian, M., Brooks, H. Z., Alexander, N., Diaz Eaton, C., & Chodrow, P. (2023). Data science and social justice in the mathematics community. Notices of the American Mathematical Society.
  4. Alexander, N. N., Ratliff, B., Levy, R., Voigt, M., Hagman, J. E., Gehrtz, J. (2023). Cross-cutting inquiries: Moving Towards a Systems-critical Practice. In M. Voigt, J. E. Hagman, J. Gehrtz, B. Ratliff, N. N. Alexander, & R. Levy (Eds.). Justice through the lens of calculus: Framing new possibilities for diversity, equity, and inclusion. MAA Notes Volume.
  5. Alexander N., Diaz Eaton C., Shrout A. H., Tsinnajinnie B., & Tsosie K. (2022). Beyond ethics: Considerations for centering equity-minded data science. Journal of Humanistic Mathematics, 12(2), 254–300. https://doi.org/10.5642/ jhummath.OCYS6929
  6. Jang, H. R., Quinones-Marrero, J., & Hincapie-Castillo, J. M. (2022). Environmental scan of COVID-19 infection dashboards in the Florida public school system. Frontiers in Public Health, 10, Article 925808. https://doi.org/10.3389/fpubh.2022.925808
  7. Alexander, N. N. (2019). Daija’s awakening: Critical race theory and Afrofuturism in mathematics education. In J. Davis & C. Jett, Critical Race Theory in Mathematics Education (pp. 56-74). Routledge.

Grants and funding

  1. Sloan Foundation. Open Source Workshops and Lesson Development for Faculty and Students at Historically Black Colleges and Universities. Principal Investigator (PI) with Hye Ryeon Jang (Co-PI) and Kari Jordan (Co-PI). Open Source Software Development, 2023-2024. (Funded, $249,705)
  2. New Ventures Fund. Development of Community-based Experiential Learning Programs in Data Science. Principal Investigator (PI), Data.org Capacity Accelerator Network. 2022-2023. (Funded, $115,000)
  3. Microsoft Corporation. Summer Research Experience in Data Science and Critical Mathematics (DSCM). Principal Investigator (PI), 2022-2024. (Funded, $47,000)
  4. AUC Data Science Initiative. Initial Development of a Problem-based Active Learning Framework for Data Science. Principal Investigator (PI), Summer Research Grant. 2022. (Funded, $3,000)
  5. Associated Colleges of the South (ACS). Teaching Social Justice Mathematics. Co-Principal Investigator (Co-PI) with Dr. Viveka Borum (PI) and Dr. Zeynep Teymuroglu (Co-PI). Diversity & Inclusion Faculty Grant, 2019-2020. (Funded, $27,765)