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Learning Event: Feminist Data Analysis
Very few people become evaluators because they want to promote racist or sexist ideas. However, it’s very easy to accidentally fall into these traps, particularly in the data-centric aspects of evaluation. A working understanding of how to incorporate ethics and equity into quantitative evaluation is essential. Heather's talk will tell stories and show real world examples that will guide you through the process of learning to identify inequity and hidden bias at seven key stages of the evaluation data lifecycle. About the Speaker:Heather Krause is a data scientist working on projects for equity and ethics in data. As a statistician (PStat) she attacks the largest questions facing societies today, working with non-profit and social sector organizations, local and national governments, and data journalists. Her relentless pursuit of clarity and realism in these projects pushed her beyond pure analysis to mastering the entire data ecosystem including ground-breaking work in evaluation, data sourcing, design, visualization, communication, and journalism, each incorporating bleeding edge theory and technologies. Her unique contributions have been sought across a range of clients from individual researchers to large international organizations including FiveThirtyEight, Orb Media, the Bill and Melinda Gates Foundation, CARE, MasterCard, the UNHCR, and several national governments.
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