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Sandra Matz

Computational social scientist at Columbia University, studying how our online behavior reveals truths about ourselves.

Top 3 podcasts with Sandra Matz

Ranked by the Snipd community
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14 snips
Jan 9, 2023 • 53min

FBL85: Sandra Matz - Lessons From a Computational Social Scientist

This week my guest is computation social scientist and professor at Columbia University, Sandra Matz, who recently published her book, The Psychology of Technology: Social Science Research in the Age of Big Data. In this episode, we explore many different ways in which technology and psychology are influencing one another in the modern era. This includes but isn’t limited to the influence of big data on psychological research, the battle between exploitation and exploration as fundamental dynamics in our digital lives, the ways in which algorithms shape our views of the world, and a whole lot more. Sandra delivers her expertise with candor and humor, and this makes for a truly enjoyable discussion that I hope you’ll all enjoy as much as I did. Find out more about Sandra and purchase her book at sandramatz.com ** Host: Steven Parton - LinkedIn / Twitter Music by: Amine el Filali
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12 snips
Dec 8, 2024 • 1h 5min

SPOS #961 – Sandra Matz On Algorithms, Psychology And Human Behavior

Sandra Matz, a computational social scientist and professor at Columbia Business School, dives into the fascinating intersection of algorithms and human behavior. She discusses the power of data in shaping decisions, revealing both empowering and chilling implications. The conversation highlights privacy issues in the digital age, the ethics of algorithmic influence, and the responsibility of tech firms. Sandra also reflects on her new book, 'Mindmasters,' emphasizing a balanced approach to leveraging technology while protecting individuality and creativity.
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Dec 16, 2024 • 52min

What Your Online Self Reveals About You

Sandra Matz, a computational social scientist at Columbia University, unpacks how our online behaviors unveil deeper truths about our identities. She discusses the discrepancies between self-perception and actual behavior, revealing how digital footprints can reflect personality traits and even predict socioeconomic status. Matz highlights the potential for using this data to foster positive changes in health and financial habits, while also exploring the implications for mental health support and the challenges of online surveillance.