Why data scientists and social scientists need each other

Many of us think that our brains are hardwired for numbers or words; for natural science or social science. This episode challenges this assumption. It looks at the intersection of these two disciplines and the ways in which people from either background can work together to further human progress across sectors. So, why exactly do data scientists need social scientists and where do they need to work together? Social scientists have the power to give a human context to data-driven decisions being made in areas like policy and business. In trying to create ethical AI, social scientists allow data scientists to understand the real-world impact of their algorithms and any biases they may have. However, encouraging these teams to work together to achieve maximum impact is easier said than done. Our guests on this episode are Ganes Kesari, Head of Analytics at Gramener, and Briana Brownell, Founder and CEO at Pure Strategy Inc. They discuss all of these challenges, as well as what the future of this intersection looks like and how to encourage teams to embrace it going forward. And for our special piece, we have Computer say LOL, with a comedy clip from Camila Cleese out of The Laugh Factory, discussing what Siri would be like if she was called Simon instead.

There are no comments yet.

Please log in to write the first comment.