from training.npr.org: https://training.npr.org/sources/cesar-hidalgo/
César A. Hidalgo leads the Collective Learning group at the MIT Media Lab and is an associate professor of media arts and sciences at MIT. He is an expert on data visualization, physics, and economics. Hidalgo’s work focuses on understanding how teams, organizations, cities and nations learn.
Delaram Kahrobaei is chair of cyber security in the department of computer science at the University of York and the director of York Interdisciplinary Centre for Cyber Security. She has adjunct appointments at the City University of New York and New York University. Kahrobaei is an expert on cybersecurity, cryptography, information security and data science.
Deen Freelon is an associate professor at the University of North Carolina, Chapel Hill’s Hussman School of Journalism and Media. He’s an expert on political expression through digital media and using data science and computational methods to analyze large digital datasets. Freelon is the creator of ReCal, an online application used by researchers worldwide.
Giannina Segnini is the John S. and James L. Knight Professor of Professional Practice in Data Journalism and director of the Master of Science Data Journalism Program at Columbia Journalism School. Her research focuses on using data to investigate across borders.
Pedro Domingos teaches computer science at the University of Washington. His research spans a wide variety of topics in machine learning, artificial intelligence and data science, including scaling learning algorithms to big data, maximizing word of mouth in social networks, unifying logic and probability, and deep learning.