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DATA MALARKEY
The Data Malarkey podcast – and it’s audio-visual twin, the Data Malarkey Show on YouTube – a must-listen, must-watch resource of brilliant data storytelling. If only there were more people in the world with the pragmatic approach taken by my guests, well, there’d be rather less data malarkey about.
DATA NATION
We face many overwhelming challenges in America today: systemic racism, data privacy, and political misinformation. These are big problems, and there are a lot of opinions and ideas on how to fix them. Scholars and industry experts often disagree on how to find solutions. So, how can we find the right way to move forward? We let the data speak for itself. Join hosts Liberty Vittert and Munther Dahleh as they gather data and get the facts about today’s most pressing problems to find out: are solutions even possible? They’ll investigate with MIT professors dedicated to researching these issues, and talk with the people on the ground encountering these problems every day so that we can find the best solutions that triumph over these challenges and solve America’s biggest problems. Data Nation is a production of MIT's Institute for Data, Systems, and Society.
DATA PRIVACY DETECTIVE
Data privacy is the footprint of our existence. It is our persona beyond ourselves, with traces of us scattered from birth certificates, Social Security numbers, shopping patterns, credit card histories, photographs, mugshots and health records. In a digital world, where memory is converted to 0’s and 1’s, then instantly transformed into a reproduction even in 3D, personal data is an urgent personal and collective subject. Those who wish to live anonymous lives must take extraordinary measures to succeed in that improbable quest, while those who hope for friendship or fame through the spread of their personal data must learn how to prevent theft of their identity and bank account. The first 155 episodes of Data Privacy Detective can be found on the feed of the Frost Brown Todd Podcast. You can listen on Apple Podcasts (https://apple.co/3IrHUTg), Spotify (https://bit.ly/49XRU2k), or Soundcloud (https://bit.ly/3T8EWrw).
DATA PRODUCT MANAGEMENT IN ACTION: THE PRACTITIONER'S...
Welcome to The Data Product Management Podcast, where the complexities of product management in the realm of data are unlocked with expertise from practitioners, and only practitioners. Tired of the struggle to find practical insights amidst the chaos? This podcast is your reliable source for candid discussions with real professionals who navigate the data product landscape daily. Our podcast dives into the trenches of data product management, exploring everything from for AI/ML, data products, data platforms, BI, and beyond. Through engaging interviews, we uncover the nuts and bolts of product discovery, prioritization, cultural change management, and stakeholder alignment. Forget the abstract theories; tune in to hear the hard-won insights of hands-on practitioners. Data product management may be challenging, but with this podcast and its guidance, it's about to become a lot less confusing. Tune in and let's navigate the data-driven future together.
DATA VIZ TODAY
Helping you become a more effective information designer. You want to create effective data visualizations. That’s hard work. There are so many decisions to make, like chart type, annotations, and color! Will this podcast help? Host and fellow data viz designer Alli Torban is in the trenches with you. She shares the latest tools and methods that she’s discovered while on the job and interviewing top designers. If you’re an analyst, journalist, or designer who wants to hone your skills with specific tactics, then this show could be just what you need.
DATALAB: THE MATERIALS INFORMATICS PODCAST
Welcome to DataLab: The Materials Informatics Podcast. In DataLab, we’ll help you navigate the world of Materials Informatics, or MI. We interview leaders in government, industry and academia who are pushing the frontier of materials informatics. We will cover technology issues such as the software infrastructure underpinning MI, as well as human issues such as what kind of team you need to be successful with MI.