S2E1 - Andrea Jones-Rooy

S2E1 - Andrea Jones-Rooy

Author: Half Stack Data Science July 24, 2020 Duration: 1:04:37

In the first episode of season 2, "The Orthogonals", Shaun and David speak to Andrea Jones-Rooy.

Andrea is a social scientist specializing in complexity.  She has written a book and several research papers on complex systems, and regularly contributes articles to media outlets on (you guessed it!) complexity — plus data science, international relations, diversity, and uncertainty. She is also a standup comedian and circus performer. The whole thing is confusing, but basically she’ll do whatever it takes to get people to pay attention to social science & complexity. Andrea earned her Ph.D. in Political Science at the University of Michigan, Ann Arbor.

We discussed why you shouldn't do a political science PhD to become a data scientist, how a political science PhD will benefit you in data science if you happen to have one, finishing a PhD thesis in a Thai restaurant, and what skills are missing from most data science courses and what to do about it.


Hosted by David Asboth and Shaun McGirr, Half Stack Data Science pulls back the curtain on what it really means to build and deploy data science within large organizations. This isn't a theoretical discussion of algorithms, but a grounded conversation about the messy, human, and often political challenges that define the field in an enterprise setting. Each episode delves into the practical hurdles-from managing stakeholder expectations and navigating legacy systems to communicating value and dealing with imperfect data. You'll hear candid reflections on projects that succeeded and those that didn't, offering a rare, unvarnished look at the day-to-day work beyond the hype. The Half Stack Data Science podcast is for practitioners who want to move beyond textbook examples and for leaders seeking to understand how to foster effective data teams. It’s a dialogue focused on the tools, processes, and soft skills necessary to deliver impact, making it an essential listen for anyone navigating the complex intersection of data, technology, and business reality. Tune in for honest talk about building things that actually work.
Author: Language: English Episodes: 33

Half Stack Data Science
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