DiscoverDiaries of Social Data Research2. Analyzing Menstrual Cycle Data and Math Transcending Boundaries with Emma Pierson
2. Analyzing Menstrual Cycle Data and Math Transcending Boundaries with Emma Pierson

2. Analyzing Menstrual Cycle Data and Math Transcending Boundaries with Emma Pierson

Update: 2021-06-11
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We talk with Emma Pierson, PhD in Computer Science from Stanford and incoming assistant professor of Computer Science at Cornell Tech, about her paper "Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs" published in Nature Human Behavior, 2021. This was joint work with fellow computer scientists (Tim Althoff and Jure Leskovec), head of data science at a partner company (Daniel Thomas), and professor of obstetrics and gynecology (Paula Hillard).


Emma shared with us strategies for normalizing research on women's health and the menstrual cycle and creating trust with industry partners. She emphasized that math is a universal language that can transcend the boundaries of individuals' personal experiences.


Paper link: https://www.nature.com/articles/s41562-020-01046-9

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2. Analyzing Menstrual Cycle Data and Math Transcending Boundaries with Emma Pierson

2. Analyzing Menstrual Cycle Data and Math Transcending Boundaries with Emma Pierson

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