Countless individuals with diverse data science backgrounds are applying their skills, training, and knowledge to improve and/or solve some of the world's toughest challenges. This is referred to as the #Data4Good movement, and we were lucky enough to coordinate with DataKind to host four such individuals on a panel to discuss their ongoing, meaningful work.
The conversation was so robust, we thought it worth sharing broadly. (Join the Metis New York and San Francisco Meetups to attend future events, and subscribe to our YouTube channel for future event videos.)
Click the image below to hear from Ana Areias, Statistical Consultant at World Bank, Bob Filbin, Chief Data Scientist at Crisis Text Line Crisis Text Line, Cat Miller, Engineering Manager at Flatiron Health, and Kush Varshney, a member of the Research Staff at IBM Research, all in conversation with Miriam Young, Communications Specialist at DataKind.
Click the image above to watch the full panel discussion.
About the panelists:
Ana Areias uses data science for good at World Bank. Her projects include building poverty prediction models and using online job boards data to estimate real-time unemployment statistics in India.
Bob Filbin is Chief Data Scientist at Crisis Text Line, the first large-scale 24/7 national crisis line for teens on the medium they use and trust most: texting.
Cat Miller has spent most of her career working with technology in health care, from trying to create early-response warnings for patients with congestive heart failure, to helping hospitals manage resources. Now at Flatiron Health, she works with large cancer datasets to find the meaningful patterns in real-world data.
Kush Varshney is on the research staff member with the Data Science group at IBM Research and a data ambassador with DataKind.
Miriam Young is the Communications Specialist at DataKind and has built her career supporting the pro bono movement, bringing business, technology, and social sector experts together to change the world.