The GLaD Podcast

• Episode 22: Navigating the Academic Job Market (Part 1)

  Everything you (n)ever wanted to know about getting an academic job in geography or geography-adjacent fields. In this episode your friendly—and pretty experienced at applying for academic jobs—co-hosts talk through the academic job market. Where to look for jobs, timing, what to expect, and how to apply. Caveat: we're mostly familiar with the US and UK academic job markets and we stick to what we know best in this episode!

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• Episode 21: Time (mis)management

  Today, we’re talking about time management. Or, rather, the lack thereof (both time, and management). It feels like we’re always over-committed. Always running behind. 24h a day sounds like so much and feels like so little. Why? Fasten your seatbelts, let’s find out!

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• Episode 20: Street Smart — A Conversation with Geoff Boeing

  In this episode we talk to Geoff Boeing, streets and urban form expert, mastermind behind OSMnx, and urban planner at USC. We talk (a lot) about disasters and cities, street networks, and open source software. Several callbacks to previous episodes, including our Vibe Check on Cities and Computing Geographically with David O'Sullivan episodes. Also Davis and Weinstein (2002), "Bones, Bombs, and Break Points: The Geography of Economic Activity" and the New York Times on trash, streets, and urban form.

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• Episode 19: GLaD Rewind–Our year in Geography, Life, and Data

  This week, join us for our own retrospective on the year, and a look forward to next. We'll talk a bit about all the data in a year of GLaD, the highs and lows of Work/Life Balance in a year of "too much yes", the NYT Spelling Bee, and all the new and awesome Geography and Data that came with the year.   As always, let us know how your year in GLaD went by emailing us at [email protected]   Until next year!

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• Episode 18 - The one about "Digital Twins"

  Today, we’re talking about what some would characterize the “topic” of the XXIst Century (others might perhaps not!): Digital Twins. Are we excited about them? Are our eyes so rolled that they’ll never recover? Or is this excited Vs eyeroll dichotomy not very helpful at all? Above all, what even are Digital Twins?   Episode notes - Here is the Commentary Rachel mentions (free access): Malleson, N., Franklin, R., Arribas-Bel, D., Cheng, T., & Birkin, M. (2024). Digital twins on trial: Can they actually solve wicked societal problems and change the world for better? Environment and Planning B: Urban Analytics and City Science, 51(6), 1181-1186. https://doi.org/10.1177/23998083241262893   - The DT project for a bridge in Amsterdam, by The Alan Turing Institute: https://www.turing.ac.uk/about-us/impact/bridging-gap-between-physical-and-digital - AI for continuous environmental project mentioned by Levi: https://waterinnovation.challenges.org/winners/ai-algal-monitoring/ - Larger scale aquatic “digital twin” project at Turing, mentioned by Levi: https://www.turing.ac.uk/research/research-projects/probabilistic-programming-aquatic-ecosystem-models

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