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

Diaries of Social Data Research

Contenido proporcionado por Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

3+ y ago 44:10

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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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