Data Science in 30 Minutes: Alan Schwarz, Former NYTimes Journalist, on Numbers-Based Journalism

Alan Schwarz, former NY Times journalist joined The Data Incubator for the February 2018 installment of our free online webinar series, Data Science in 30 minutes: Numbers-Based Journalism.

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Alan Schwarz, former N.Y. Times investigative reporter and Pulitzer finalist, discussed numbers-based journalism that shook industries from the National Football League to Big Pharma. Alan used data analysis to expose the NFL’s cover-up of concussions as well as issues in child psychiatry.

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About the speakers:

Alan Schwarz is a Pulitzer Prize-nominated journalist best known for his reportage of public health issues for The New York Times. His 130-article series on concussions in sports is roundly credited with revolutionizing the handling of head injuries in professional and youth sports, and was a finalist for the 2011 Pulitzer Prize for
Public Service. He followed that work with a series on A.D.H.D. and other psychiatric disorders in children, which also was considered for a Pulitzer and led to his book “A.D.H.D. NATION: Children, Doctors, Big Pharma and the Making of an American Epidemic.”

A recognized expert on the use of mathematics and probability in journalism — statistical analysis formed the backbone of his major series — Mr. Schwarz has lectured at dozens of universities and professional conferences about these subjects, including at the 2015 SAS national convention and a keynote at the Andrew Wiles Mathematical Institute at the University of Oxford. Mr. Schwarz, who holds a bachelor of arts degree in Mathematics from the University of Pennsylvania, was honored by the American Statistical Association in 2013 with its Lifetime Excellence in Statistical Reporting Award and serves on editorial boards of the ASA and the Royal Statistical Society.

Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, employers engage with the Incubator as hiring partners.

Previously, he worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves.

Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events.

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