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Heather Whiteman, PhD

Heather Whiteman, PhDHeather Whiteman, PhDHeather Whiteman, PhD

People analytics & world of work - Speaker, educator & advisor

People analytics & world of work - Speaker, educator & advisorPeople analytics & world of work - Speaker, educator & advisor

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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/).

Find the book here

Articles by Heather

7 Ways HR Can Build a Fairer Data Informed Culture

Read on HBR

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. 


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