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Books by Heather
My friend and former colleague Nicholas Garbis & I came together to bring you "Explore The Power of People Analytics: A Guide for Business and HR Leaders." Available in print for sale (button below) or as a free eBook (https://futureworkplace.com/ebooks/people-analytics/).
Heather's Recommended Readings
Heather's idea of a perfect bookshelf:
- Criado Perez, C. (2019) Invisible Women: Data bias in a world designed for men.
- Rosling, H., Rosling, O., & Rönnlund, A. R. (2018). Factfulness: Ten reasons we’re wrong about the world - and why things are better than you think.
- Rosenthal, C. (2018). Accounting for Slavery: Masters and management.
- Wheelan, C. (2013) Naked Statistics: Stripping the dread from the data.
- Merry, S. E. (2016) The Seductions of Quantification: Measuring human rights, gender violence, and sex trafficking.
- Nelson, D. M. (2015) Who Counts? The mathematics of death and life after genocide.
- Best, J. (2012) Damned lies and statistics: Untangling numbers from the media, politicians, and activists.
- D'Ignazio, C. & Klein, L. F. (2020). Data Feminism.
- O’Neil, C. (2016) Weapons of Math Destruction: How big data increases inequality and threatens democracy.
- Eubanks, V. (2017) Automating Inequality: How high-tech tools profile, police, and punish the poor.
- Wachter-Boettcher, S. (2018). Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech.
- Noble, S. U. (2018). Algorithms of Oppression: How Search Engines Reinforce Racism.
- Benjamin, R. (2019). Race After Technology: Abolitionist Tools for the New Jim Code.
- D’Ignazio, C. & Klein, L. (2020). Data Feminism. A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.