37 min
Uniting Data Science and Social Good, with DataKind co-founder Jake Porway Tech Matters
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- Technology
"What could the nonprofit sector do if every nonprofit had Google's engineering team?" (J. P.)
In this thought-provoking episode, we sat down with Jake Porway, the visionary co-founder of DataKind, to explore the transformative potential of harnessing data science for the nonprofit sector. Jake takes us through the journey of the organization from its early days of hackathons to its evolution into a beacon for long-term, impact-oriented projects.
Today, DataKind is made of many chapters worldwide, as data scientists and social workers meet to face challenges in their home countries. But we asked Jake about high-level issues as well — aspects he has put much thought into: Do nonprofits need their own data science teams? If not, what is the right model to leverage data science skills when the alternative is an incredibly high-paying job in the for-profit sector? Are organizations like DataKind suitable for generating products that scale or does their true value lie in creating a platform for much needed (and underfunded) Research and Development in the service of social impact?
This episode is a must-listen for anyone who is working in tech, and is looking for a way to put their skills towards something more than ad campaign optimization.
> Transcript on website
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Be sure to leave us a rating on Spotify or a review on Apple Podcasts!
Wicked problems require more than one line of thought — was there anything you agreed or disagreed with? Anything you'd like us to explore further? Write us a note at podcast@techmatters.org and follow us on LinkedIn!
"What could the nonprofit sector do if every nonprofit had Google's engineering team?" (J. P.)
In this thought-provoking episode, we sat down with Jake Porway, the visionary co-founder of DataKind, to explore the transformative potential of harnessing data science for the nonprofit sector. Jake takes us through the journey of the organization from its early days of hackathons to its evolution into a beacon for long-term, impact-oriented projects.
Today, DataKind is made of many chapters worldwide, as data scientists and social workers meet to face challenges in their home countries. But we asked Jake about high-level issues as well — aspects he has put much thought into: Do nonprofits need their own data science teams? If not, what is the right model to leverage data science skills when the alternative is an incredibly high-paying job in the for-profit sector? Are organizations like DataKind suitable for generating products that scale or does their true value lie in creating a platform for much needed (and underfunded) Research and Development in the service of social impact?
This episode is a must-listen for anyone who is working in tech, and is looking for a way to put their skills towards something more than ad campaign optimization.
> Transcript on website
RATE, WRITE, SUBSCRIBE
Be sure to leave us a rating on Spotify or a review on Apple Podcasts!
Wicked problems require more than one line of thought — was there anything you agreed or disagreed with? Anything you'd like us to explore further? Write us a note at podcast@techmatters.org and follow us on LinkedIn!
37 min