Research and products
Lab members, research affiliates, and friends of the lab in bold.
- Alexander, N. N., Turner, B. O., Wallace, D., Kyles, C., Leatherwood, D., & Payne, R. (forthcoming). From Theory to Practice: Exploring Critical Orientations in Professional Learning Programs in Mathematics Education.
- Alexander, N. N. (forthcoming). Measuring School Desegregation: A Critical Quantitative Replication.
- Alexander, N. N., Thompson, B., Piercy, V., & Diaz Eaton, C. (forthcoming). Towards a Praxis of Critical Inquiry in Undergraduate Mathematics Classrooms.
- Fletcher, N., Alexander, N. N., Kang, B., Kebreab, L., Marshall, B., Martinez, J., Sundrani, A., & Velasco, R. (forthcoming). Programs and Opportunities for Early Career Mathematics Education Scholars.
- 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/
- 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
- 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.
- Voigt, M., Hagman, J. E., Gehrtz, J., Ratliff, B., Alexander, N. N., & Levy, R. (Eds.) (2023). Justice through the lens of calculus: Framing new possibilities for diversity, equity, and inclusion. MAA Press, Notes, Vol. 96.
- 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 calculus: Framing new possibilities for diversity, equity, and inclusion. MAA Press, Notes, Vol. 96
- Alexander N. 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
- 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.
- Alexander, N. N. (2022). A Legacy of Literacy: Mathematics Teachers and the Quests for Racial Justice. In D. C. Hucks, Y. S. Ruiz, V. Showunmi, S. C. Carothers, & C. W. Lewis (Eds.), Purposeful Teaching and Learning in Diverse Contexts: Implications for Access, Equity and Achievement (pp. 3-23). Charlotte: IAP.
- Alexander, N., Teymuroglu, Z., & Yerger, C. (2019). Critical Conversations on Social Justice in Undergraduate Mathematics. PRIMUS: Problems, Resources, and Issues in Math Undergraduate Studies, 29(4), 396-419.
- 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.
- Alexander, N. N. (2013).Gender Inequality: Mathematics. In J. Ainsworth (Ed.), Sociology of Education: An A-to-Z Guide, SAGE Publications: London, UK.
Lab features
- Nature (April, 2025). Creating an ‘all comers’ research group in quantitative history.
- NC State Data Science Academy (June, 2022). “Who gets to learn are the people with the opportunity.”: Equity in Data Science Education.
- CNN (May, 2021). United Shades of America with Kamau Bell: S6 E2 - Black to the Future.
- Abolition Science Podcast (March, 2020). Afrofuturism and Math Education.
- Coca-Cola Scholars Foundation (March, 2019). When Empathy Goes Viral.
Recent lab presentations and posters
- Davis, K. (2025, April). Fighting The Frame: How Framing Police Brutality Influences Blame. Poster presentation at the 2025 Morehouse College Dream Makers Summit, Atlanta, GA.
- Williams, Z. & Alexander, N. N. (2025, April). Examining Racial Disparities in Capital Punishment. Poster presentation at the 2025 Howard University Research Month Symposium, Washington, DC.
- Jackson, J. & Alexander, N. N. (2025, April). A Systematic Scoping Review of the Research Literature on Factors Influencing Black Male Educator Retention. Poster presentation at the 2025 Howard University Research Month Symposium, Washington, DC.
- Gupta, J. & Alexander, N. N. (2025, April). Parts of a Patchwork Nation: Designing an Open Source Tool to Investigate Demographic Shifts in Urban and Rural Communities. Poster presentation at the 2025 Howard University Research Month Symposium, Washington, DC.
- Alexander, N. N., Onabajo, B., Gupta, J., Nichols-Smith, K., & Jang, H. (2025, March). Mapping Multidimensionality: Using Census Data to Understand Neighborhood Communities. Talk at the 2025 DC Open Data Showcase, Washington, DC.
- Alexander, N. N. & Gupta, J. (2024, December). Ancestral Mathematics. Workshop at the 2024 HBCU Alumni Alliance and 100 Black Men STEM Day. University of the District of Columbia, Washington, DC.
- Alexander, N. N. & Williams, Z. (2024, October). What Happened to Chocolate City? Understanding Neighborhood Communities in DC. Workshop at Nubian HueMan, Anacostia, Washington, DC.
- Alexander, N. N., Davis, K., Ghali, B., Stewart, Q., & La Cour, G. (2024, April). Data Wells: Race and State Violence in the United States from 1892. Invited talk at the 2024 Bob Moses Conference, Virtual.
- Alexander, N. N. (2024, April). Overview of the Quantitative Histories Workshop: A Curriculum & Software Development Research Collective. Proceedings of the Howard University Center for Applied Data Science and Analytics (CADSA) Research Symposium. Washington, DC.
Grants and funding
- Open Research Community Accelerator (ORCA). Expansion of an Open Source Community for Faculty and Students at Historically Black Colleges and Universities. Nathan Alexander (PI). Catalytic Awards Program, 2025-2026. (Funded, $15,000)
- STEM Research Initiative for Diversity and Equity (STRIDES). Designing Radical and Equitable Approaches with Mathematics Educators, Researchers, and Students. Co-Principal Investigator (Co-PI) with Blake O’Neal Turner (PI), and Malik Henfield (Co-PI). Marquette University, 2025-2026. (Funded, $10,000)
- Public Interest Technology Network. Integrating Community Knowledge and Equity into Integrated Admin- istrative Data Systems for Research and Education in Data Science for Social Impact. Subaward with Francisca Garcia-Cobian (PI) and Patty Dare (Co-PI). University Network, 2025-2026. (Funded, $10,000)
- Sloan Foundation. Open Source Workshops and Lesson Development for Faculty and Students at Historically Black Colleges and Universities. Nathan Alexander (PI) with Hye Ryeon Jang (Co-PI) and Kari Jordan (Co-PI). Open Source Software Development, 2023-2024. (Funded, $249,705)
- New Ventures Fund. Development of Community-based Experiential Learning Programs in Data Science. Nathan Alexander (PI), Data.org Capacity Accelerator Network. 2022-2023. (Funded, $115,000)
- Microsoft Corporation. Summer Research Experience in Data Science and Critical Mathematics (DSCM). Nathan Alexander (PI), 2022-2024. (Funded, $47,000)
- AUC Data Science Initiative. Initial Development of a Problem-based Active Learning Framework for Data Science. Nathan Alexander (PI), Summer Research Grant. 2022. (Funded, $3,000)
- Associated Colleges of the South (ACS). Teaching Social Justice Mathematics. Nathan Alexander (Co-PI) with Dr. Viveka Borum (PI) and Dr. Zeynep Teymuroglu (Co-PI). Diversity & Inclusion Faculty Grant, 2019-2020. (Funded, $27,765)