This week, we’re welcoming guest author Larissa Veloso a multifaceted professional who works in journalism and marketing. Larissa is sharing her experience with data on race and ethnicity. A version of this piece originally appeared in Larissa’s Medium...
In last week’s email newsletter I mentioned Naomi Wolf’s data problems (That’s Naomi Wolf – not Naomi Klein as I accidentally wrote in part of the text. Apologies to Naomi Klein fans!) In Wolf’s latest book she makes claims about the number of men executed in...
Why are you doing your data project? This is the key question of the second step in The Data Lifecycle: Motivation. All data projects have a driving force behind them, often many at once. A clear, transparent definition of all the reasons why a project is being done...
Ready to improve the equity and ethics in your data processes? Need to share the ideas and applications of the We All Count framework with your team in an interactive and affordable way? Want to develop your professional skills in a vital emerging topic area? Schedule...
We often think of data analysis as being objective. And in many cases, those presenting their analyses to us would prefer it that way. But, no matter how much we hope for it, data analysis is not objective. When we model data, we decide what factors are important to...