Dr. Bart Baesens is a professor of Big Data &amp; Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom), and is a co-author of the paper "The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics". In this interview, we discuss how mobile phone calling patterns can be used to predict borrowing behavior for people with no prior credit history.&nbsp;
 
&nbsp;Read the paper: <a href="https://www.youtube.com/redirect?event=video_description&amp;redir_token=QUFFLUhqbmN4TnFoVEF0UksxTU1kVFlyYUN6NTlTWXA5d3xBQ3Jtc0trZEY3Ml9pSDY0ZEpFcWZpbWZSVEhVOGFFcEotMF9oaUVUeEQtQTQwQ1pTYm1HOHNISW53V3hqZFVWVGJJN0pzOWV1bTJVb2Job19jRFJVX0txS3kwcFRRWlBOdUFzenJVYUJCM2RGY09lbFRldzRLOA&amp;q=https%3A%2F%2Farxiv.org%2Fabs%2F2002.09931" rel="nofollow" target="_blank">https://arxiv.org/abs/2002.09931</a>

Morality of Credit Scoring in Insurance and Hiring Practices: Interview with Dr. Barbara Kiviat

The nature and uses of credit scores locally and globally can have adverse effects on credit consumers by serving as barriers to entry and barriers to mobility in financial systems. Our plan is to create a podcast series that will explore credit scores and their impacts around the world, with a focus on finding more equitable solutions.