Harvard Data Science Review publiczne
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On this episode we examine how the U.S. government collects data to serve the public and how to ensure such a process does not hurt the people it aims to serve. We discuss the good, the bad, and the ugly sides of this topic including privacy issues, the 2020 U.S. Census, how well-intended methods may adversely affect minority populations, and why i…
 
This episode focuses on the art and science of measuring public opinion. We discuss the challenges pollsters face when trying to predict how public opinion may change over time, review both the innovative and time-tested methods of polling and discover which recent polls have revealed the most surprising data. Our guests are Kristen Soltis Anderson…
 
On this episode we explore all things AI with our guests Kathleen Walch and Ron Schmelzer, hosts of the popular AI Today podcast and principal analysts and managing partners of Cognilytica, an AI research and advisory firm. With Kathleen and Ron, we discuss the spread of AI in our lives, from autonomous vehicles to Taco Bell’s new automatic drive t…
 
Over 30% of the world’s data is comprised of healthcare data with the U.S. government arguably collecting the largest portion. On this month’s episode of the Harvard Data Science Review Podcast, we explore all things healthcare data with the help of two experts who provide their perspectives from the public and private sectors. Our guests are Justi…
 
This month’s episode focuses on the increasing role of data science in the diagnosis and treatment of mental health disorders. It explores how statistical tools like adaptive testing are being successfully deployed to rapidly identify people with high levels of depression, anxiety or suicide risk. It also examines how the data science community cou…
 
In this episode, Harvard Data Science Review digs into the world of disinformation and misinformation, and the difference between them. Is the weaponization of both a new phenomenon or is history repeating itself? How has social media and the democratized access to published information contributed to today’s sensationalized headlines? Hosts Xiao-L…
 
What is the value of art? Is it in the eye of the beholder or can data analytics tools place a monetary value on beauty? Hosts Xiao-Li Meng and Liberty Vittert explore the use of data and technology in the art world with guests Jason Bailey, CEO and founder of Artnome and author of “Can Machine Learning Predict the Price of Art at Auction?” for HDS…
 
What are the biggest predictors of an Oscar win? What are the pros and cons of using quantitative vs. qualitative data? Has the film industry’s increased use of streaming services impacted Oscar predictions? Hosts Xiao-Li Meng and Liberty Vittert investigate these questions and more by speaking with two renowned Oscar awards predictors: Boston Glob…
 
Data science is huge in sports, and it's not just game stats anymore. Player and ball tracking data are changing the way major sports leagues play games. We dive into how these data are analyzed and what the results mean to coaches and teams with Kirk Goldsberry, NBA analyst at ESPN and author of “Sprawlball”, and Brian Macdonald, Faculty in Sports…
 
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