Datascience, Data, AI, Public Health Gilad Barash Datascience, Data, AI, Public Health Gilad Barash

Episode 18: Femtech - Women’s Health Data in a Post Roe V. Wade World

FemTech, or Female Health Technology - which includes apps such as period-trackers, is experiencing unprecedented growth. But, nowhere is this podcast’s tagline “How Life Affects Data and How Data Affects Life” more relevant in this industry (in the shadow of the Dobbs decision by the Supreme Court to overturn Roe V. Wade, earlier this year).

In this episode, I talk to Bethany Corbin, a FemTech Innovation and Data Privacy Attorney, about the FemTech industry and its challenges in a post Roe V. Wade world, what kind of data these apps collect, unique data privacy concerns, and how these were effected by Dobbs. Additionally, we look into calls to delete period-tracking apps. Bethany discusses some actual cases of data privacy violations. She also gives a few tips on how to vet such apps to make sure they are compliant with stringent privacy standards. We also touch on data and aggregation and also utilizing data in this space.

We talk about the kind of data they used, the challenge of collecting it and processing it so quickly, how data changed throughout the pandemic, how they approached issues of bias and privacy and how AI figured into the equation. We also touched on some hot topics in the news - the proposed moratorium on generative AI research and its effect on public health as well as the effect of social media on teen mental health.

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Datascience, Data, AI, Public Health Gilad Barash Datascience, Data, AI, Public Health Gilad Barash

Episode 17: Data And Public Health - Tale Of A Pandemic

The field of Public Health has always involved collecting and analyzing data but when a worldwide pandemic hit suddenly, it was necessary to speed up these processes so as to make decisions and recommendations in real time. As the pandemic changed and shifted, with vaccines and treatments, so did the need for public health data. In this episode I talk to Amelia Burke-Garcia and Lucy Rabinowitz Bailey of NORC at the University of Chicago, an independent research organization, who conducted just such a study in real time to understand the pandemic’s effect on public mental health and coping strategies.

We talk about the kind of data they used, the challenge of collecting it and processing it so quickly, how data changed throughout the pandemic, how they approached issues of bias and privacy and how AI figured into the equation. We also touched on some hot topics in the news - the proposed moratorium on generative AI research and its effect on public health as well as the effect of social media on teen mental health.

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