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Symone Campbell, PhD (She/Her)

Race & Tech Postdoctoral Fellow

  • Center for Applied Data Science and Analytics
  • College of Arts & Sciences
  • Graduate School


Dr. Symone Campbell is a distinguished postdoctoral fellow within the Center for Applied Data Science and Analytics (CADSA) at Howard University. Her academic credentials include a Ph.D. in Communications, Culture, and Media Studies, a Master’s degree in Africana Studies, and a Bachelor’s degree in Sociology. Dr. Campbell brings a specialized expertise in race, technology, and digital media studies to her current role, where she focuses on critically examining the impact of race on educational technology platforms, particularly for Black students. In addition to her academic achievements, Dr. Campbell has actively pursued a research agenda that delves into the intricate intersections of educational technology and the experiences of Black students. Her commitment to this field is exemplified through research fellowships, including engagements with prominent organizations like the Bill and Melinda Gates Foundation. Dr. Campbell has also been recognized as an Edward Bouchet Scholar and a Ronald E. McNair Scholar. These experiences have uniquely positioned her to unravel the nuances of educational technology, especially as it relates to the educational needs and experiences of Black students.

Education & Expertise


Doctor of Philosophy

Communications, Culture & Media Studies
Howard University

Master of Arts

Africana Studies
University at Albany

Bachelor of Arts

Buffalo State University



DATA 201: Computational Social Justice

This course is designed to help students think explicitly about their social responsibility as data scientists and the impact on the world of what they are building and analyzing. Using contemporary case studies from recent news stories and legal cases, students will learn about issues such as intellectual copyright, consent, data security, differences between privacy and confidentiality, difficulties of anonymization, and bias in artificial intelligence. In addition, students will be engaged with fundamental questions of justice in relation to data and computing in American society.

DATA 801: Data Science Graduate Capstone

The Capstone Project provides an opportunity for students to engage in high-level inquiry focusing on an area of specialization within data science. Students will complete a Capstone Projects.

DATA 802: Data Science Practicum/Internship

The Applied Data Science and Analytics Practicum /Internship course is an opportunity for students to apply principles, tools, theories, ideas, and skills learned in the classroom to a real-world problem. Student can engage in an (1) External Internship with an organization or government agency, (2) Internal Case Study Internship provided by the department, or (3) Internal Practicum research project to exercise their skills in Data Science and Data Analytics, and understand the culture around computing and management systems, operations, resources within a specialty area. The experience is obtained with organizations approved by the Center for Applied Data Science and Analytics Program under the guidance of faculty.

SLMC 101: Principles of Speech

The Principles of Speech course is designed to develop skills for effective communication within a variety of contexts including academic, organizational, and professional settings as well as interpersonal relationships. It is a performance course based on the application of the study of communication theory. The course is designed to ensure that undergraduate students acquire and demonstrate proficiency in three essential skill areas: (1) theoretical foundations of effective communication dynamics, (2) skills, practice, and confidence in public speaking, and (3) critical thinking and reasoning.

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