Social justice meets data science in this startlingly insightful take on how to improve the world of tech In Data Conscience: Algorithmic Siege on our Humanity, data inclusivity strategist and expert Dr. Brandeis Marshall delivers an incisive and eye-opening discussion of how to fix tech’s dominant philosophy of “move fast and break things” with a renewed focus on equity and oppression. In the book, the author explores how to address discrimination in the digital data space with several known algorithms, including social network analysis, linear regression and sentiment analysis. Rebel tech leaders who want to build a better, more ethical world, will also find: Expansive discussions of the importance of transparency and how to put computational thinking into practice Strategies for encouraging accountability in tech and making misleading data visualization a thing of the past Governance strategies—based on law, algorithms and forever learning—that can improve the way we interact with data Perfect for junior software developers who have begun to dip their toes into the “real world,” Data Conscience will earn a place in the libraries of anyone interested in the intersection of social justice and data science.
