top of page

DR. BRANDEIS MARSHALL

Data Equity Strategist. Speaker. Writer.

DataedX Group is a social impact business that provides educational resources and training in recognizing algorithmic harms and humanizing data for data educators, scholars and practitioners. As its founder and CEO, Brandeis is a data equity strategist who has advised and educated thousands in public and corporate sectors. Her work focuses on exposing and mitigating the harmful impact of data practices on technology and society.

Before founding her data education and ethics company, she thought she’d be a college professor or administrator for the rest of her career. The cascading multigenerational influence of algorithms made engaging the current workforce in data education more urgent than educating the next generation. Data is fueling the algorithms that’s making the tech and that tech is perpetuating harm to Black women and other minoritized groups. Her book, Data Conscience: Algorithmic Siege on our Humanity Wiley Publishing September 2022, is written for rebel tech talent who acknowledge and are prepared to address the current limitations of the data life cycle and software development.

Brandeis holds a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester.

Race + Data Science: Brandeis Marshall, Spelman College

59:02

Race + Data Science: Brandeis Marshall, Spelman College

Guest Speaker: Brandeis Marshall, Professor of Computer Science, Computer and Information Sciences Department, Spelman College (currently on sabbatical leave) Chair: Desmond Upton Patton, Associate Director of Diversity, Equity and Inclusion, The Data Science Institute, Columbia University. Patton is also Associate Professor of Social Work; Associate Dean of Curriculum Innovation and Academic Affairs; and Courtesy Appointment in Department of Sociology, Columbia University School of Social Work. Waking up to Marginalization in Data Education Data education is increasingly becoming an integral part of many instructional structures, both informal and formal. Much of the attention has been on the application of AI principles and techniques. While AI is only one phase in the data ecosystem, we must embrace a fuller range of job roles that help manage AI algorithms and systems. Also, it’s important that we better understand the current state of the low participation and representation of minoritized groups that further stifles accessibility and inclusion efforts. In this talk, I’ll discuss the demographic disparities, bias creep and policy recommendations to curb and reduce this marginalization. Bio: Brandeis teaches, speaks and writes about the impact of data practices on technology and society. Her work contributes to the data engineering, data science, and data/computer science education fields. Through Dr. Marshall’s data education firm, she guides current tech workers building data equity skills. Her first book, Data Conscience: Algorithmic Siege on our Humanity, is expected to be released in mid-2022. It unearths the interlocking computational and civic implications of data on digital processes, structures and institutions. Dr. Marshall holds a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester. She is on sabbatical leave from Spelman College, where she is a Full Professor of Computer Science.

bottom of page