PhD, Mathematics and Education
Columbia University
Nathan Alexander
Assistant Professor
Department/Office
 Curriculum and Instruction
School/College
 School of Education
 Graduate School
Additional Positions

Assistant Graduate DirectorCenter for Applied Data Science and Analytics
Biography
Dr. Nathan Alexander explores the development of quantitative literacy in the contexts of Black history and futurity.
Nathan Alexander, PhD, is an assistant professor of data science and education. He holds a joint appointment in the Howard University School of Education and the Center for Applied Data Science and Analytics (CADSA), and he is the assistant director of the MS Program in Data Science. Dr. Alexander teaches courses in computational methods, curriculum & instruction, and applied statistics. His research explores the history and development of critical and justiceoriented practices in quantitative literacy development, especially in Black educational contexts. This work sits at the intersection of the humanities, social sciences, mathematics, and the computational sciences, with a particular focus on Black history and futurity in national and global contexts. He is also the founding director of the Quantitative Histories Workshop, a communitycentered teaching and learning lab for students, faculty, youth, and community partners.
Education & Expertise
Education
MAT, Mathematics
New York University
BA, Mathematics and Sociology
University of North Carolina at Chapel Hill
Expertise
Statistics and data science education
Quantitative historical studies
Undergraduate and k12 mathematics education
Academics
Academics
DATA 202: Statistically Measuring and Modeling Social Justice
EDUC 480: International Internship and Special Topics Seminar
Research
Research
Funding
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 (CoPI) and Kari Jordan (CoPI). Open Source Software Development, 20232024. (Funded, $249,705)
New Ventures Fund. Development of Communitybased Experiential Learning Programs in Data Science. Principal Investigator (PI), Data.org Capacity Accelerator Network. 20222023. (Funded, $115,000)
Microsoft Corporation. Summer Research Experience in Data Science and Critical Mathematics (DSCM). Principal Investigator (PI), 20222024. (Funded, $47,000)
AUC Data Science Initiative. Initial Development of a Problembased Active Learning Framework for Data Science. Principal Investigator (PI), Summer Research Grant. 2022. (Funded, $3,000)
Associated Colleges of the South (ACS). Teaching Social Justice Mathematics. CoPrincipal Investigator (CoPI) with Dr. Viveka Borum (PI) and Dr. Zeynep Teymuroglu (CoPI). Diversity & Inclusion Faculty Grant, 20192020. (Funded, $27,765)
California State Board of Education. Development & Implementation of 4Year Integrated Programs Leading to the Baccalaureate Degree in Mathematics & Teaching Credential. CoPrincipal Investigator (Co PI) with Dr. Michael Rozendal (PI), Mary LabiakCoen (CoPI), & Melissa Hope (CoPI). Commission on Teacher Credentialing, 20172018. (Funded, $248,899)
Related Articles
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/datascienceforsocialimpactinhighereducation/
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 K12 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. N., Diaz Eaton, C., Chodrow, P. (2023). Data science and social justice in the mathematics community. Notices of the American Mathematical Society, 70(9), 14791489.
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. The Mathematical Association of America (MAA) Notes Volume.
Alexander, N. N., Ratliff, B., Levy, R., Voigt, M., Hagman, J. E., Gehrtz, J. (2023). Crosscutting inquiries: Moving Towards a Systemscritical 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.
Alexander N. N., Diaz Eaton C., Shrout A. H., Tsinnajinnie B., Tsosie K. (2022). Beyond ethics: Considerations for centering equityminded data science. Journal of Humanistic Mathematics, 12(2), 254–300.
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. 323). Charlotte: IAP.
Alexander, N. N. (2022). [Exercises on the Quantification of Racial Injustices in the U.S.]. In W. K. Bell & K. Schatz (Eds.), Do the Work!: An Antiracist Activity Book. New York: Workman Publishing.
Alexander, N. N. (2019). Critical Race Theory and Afrofuturism in Mathematics Education. In J. Davis & C. C. Jett (Eds.), Critical Race Theory in Mathematics Education (pp. 5674). New York: Routledge.
Alexander, N. N., Teymuroglu, Z., & Yerger, C. R. (2019). Critical Conversations on Social Justice in Undergraduate Mathematics. PRIMUS: Problems, Resources, and Issues in Mathematics Undergraduate Studies, 29(4), 396419.
Adiredja, A., Alexander, N. N., & AndrewsLarson, C. (2015). Conceptualizing Equity in Undergraduate Mathematics Education. In T. FukawaConnelly, G. Karakok, K. Keene, and M. Zandieh (Eds.), Proceedings of the 18th Conference on Research in Undergraduate Mathematics Education, 18(1), 6073. Pittsburgh, PA.
Leong, K., & Alexander, N. N. (2014). College Students’ Attitude and Mathematics Achievement using Webbased Homework. Eurasia Journal of Mathematics, Science & Technology Education, 10(6), 609615.
Alexander, N. N. (2013). Choosing a College. In H. Gould, D. Murray, & A. Sanfratello (Eds.), Mathematical Modeling Handbook: Volume 1 (p. 3448). Bedford, MA: Consortium for Mathematics & its Applications (CoMAP).
Alexander, N. N. (2013). Gender Inequality: Mathematics. In J. Ainsworth (Ed.), Sociology of Education: An AtoZ Guide, SAGE: London, UK.
Gholson, M., Bullock, E., & Alexander, N. N. (2012). On the Brilliance of Black Children: A Response to a Clarion Call (Editorial). Journal of Urban Mathematics Education, 5(2), pp. 18.