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The GLaD Podcast

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Rating
★★★★★
5
from
6 reviews
This podcast has
30 episodes
Language
English
Explicit
No
Date created
2023/03/16
Latest episode
2026/01/09
Average duration
56 min.
Release period
45 days

Description

From the creators of the Spatial Analytics + Data interview and seminar series, we bring you the GLaD Podcast—Geography, Life + Data. A little geography, a little (academic) life, a little ”geography life”, and LOTS about data, mostly spatial. Join your hosts, Dani Arribas-Bel, Rachel Franklin, and Levi Wolf for conversations, interviews, and even a few hot takes.

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Podcast episodes

Check latest episodes from The GLaD Podcast podcast


Episode 29: The oldest profession in geography
2026/01/09
Come for the catchy episode title, stay for the wide-reaching discussion about spatial data, visualization, and cartography. We're joined this time by Anthony Robinson, from Pennsylvania State University, for a conversation about what cartographers do, what cartography looks like in the 21st century, what makes a map, and the challenges of "personal cartography." We've even got some requisite hot takes on spatial analysis and data (...and cartography!).
Episode 28: “Opening the academic source” with Serge Rey
2025/12/16
Today, we’re joined by a close friend of the podcast (someone some of us personally credit with changing our lives forever!), Serge Rey, to talk all things open, open source, and academia. Serge is Professor for Geography at San Diego State University and BDFL for the PySAL project. He’s been one of the most outspoken voices advocating for closer adoption of the open source ethos in academia, so we thought who better to unpack the open conundrum.
Episode 27: Are you GLaD about GeoAI? A conversation with Krzysztof Janowicz
2025/11/11
On this episode, we talk with Prof. Krzysztof Janowicz, Professor of Cartography and Geoinformation Science at the University of Vienna. Prof. Janowicz is an expert in GeoAI, and has been researching the field over his entire career. Join us to learn a bit more about GeoAI—the nuts and bolts of what GeoAI is, whee it came from, and where the fast-paced field is going. Learn with us about the basics of foundation models and representation learning, and think through how GeoAI can help your research or practice.  As always, we welcome feedback, episode suggestions, and questions from listeners at [email protected]. And, please rate and review us on your favorite podcast app—every bit helps!
Episode 26: A day in the life of… Wenfei Xu
2025/10/16
Today we’re “repeating” special guest. We enjoyed so much talking to Wenfei Xu anbout mobile phone data in our last episode (Episode 25: What we talk about when we talk about mobile phone data), that we decided to bring her on board again. But there’s a twist: this time, we’re returning to our “A day in the life of…” series, where we explore the behind-the-scenes view of what it is like to be a GLaD researcher.    Wenfei i Assistant Professor in the Department of Geography at the University of California, Santa Barbara. An urban planner by training, Wenfei has worked a lot with mobile phone data, but also has a super interesting story to how she arrived at that research interest. Come the fancy data, stay for engaging conversation about hopping between academia and industry, traversing disciplines, and… an Exhibitions entry in your CV.
Episode 25: What we talk about when we talk about mobile phone data
2025/09/12
Here's an episode all about data—mobile phone data, to be exact. What are we talking about when we talk about using “mobile phone data” in our research? How are these data generated? Who produces them? What is this data good for…and maybe not so good for? How is it accessed and used? So many questions! To help provide some answers, in this episode Rachel, Levi, and Dani are joined by special guest, Wenfei Xu, Assistant Professor in the Department of Geography at UC Santa Barbara.
Episode 24: AI & GLaD in Practice: a field report
2025/08/13
AI is now definitely changing how we live our (geography) lives. Join Rachel, Dani, and Levi for a chat about how Artificial Intelligence is emerging in our GLAD lives. How is it being used "in the wilds" of teaching, research, coding, publishing, and beyond. Should you be farming out your peer reviews to a computer? Vibe coding with your friend Claude? Setting out on AI-generated running routes? And, as always, do we really need more papers faster than ever before? We chat through this, with some advice and reflections on where AI might change our own practice and how it's certainly changing the way academia (writ large) works.  Let us know what you think at [email protected]. Did we miss something about AI that you now can't live without? Have we missed your favorite anecdote about a deluge of digital dreck? Send us an email!  Resources we discussed:  Nature's recent editorial on peer review and AI https://www.nature.com/articles/d41586-025-00894-7 Harper Reed's post on how to code well with LLMs https://harper.blog/2025/04/17/an-llm-codegen-heros-journey/ Ethan Mollick's "reasoned optimism" about thinking with AI https://www.oneusefulthing.org/ Simon Willison's blog tracking the frontier of LLMs  https://simonwillison.org      
Episode 23: Navigating the Academic Job Market (Part 2)
2025/06/10
Join us for the second part of our conversation about the academic job market! This half, we'll talk a bit about the nuts and bolts of putting together your application and the process from applying to interviewing for (and maybe even getting) the job! Caveat: we're mostly familiar with the US and UK academic job markets and we stick to what we know best in this episode! Let us know what you think by sending us an email at [email protected] or leaving us a review on whatever podcasting app you use! it really helps us out.   
Episode 22: Navigating the Academic Job Market (Part 1)
2025/05/06
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!
Episode 21: Time (mis)management
2025/03/30
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!
Episode 20: Street Smart — A Conversation with Geoff Boeing
2025/02/03
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.
Episode 19: GLaD Rewind–Our year in Geography, Life, and Data
2024/12/19
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!
Episode 18 - The one about "Digital Twins"
2024/10/25
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
Episode 17: Don't Be a Duck
2024/09/23
In this episode your fearless co-hosts, Dani, Levi, and Rachel, talk about visibility and making a place for oneself in the worlds of research and academia. We chat about brands (do you need one?), clout (is it a thing?), and whether there's agreement about what it means to be an academic duck (maybe?). We've also got advice and lots of GLaD banter.  
Episode 16: Back to School
2024/09/05
Today, we’re tightening our laces, checking our syllabi, and coming to terms with the coming term. Do you plan ahead? Or let the waves of work wash over you? Join Dani, Rachel, and Levi to chat about what it's like going back to school.    As always, let us know what you think by emailing us at [email protected]. We read every email, and if there's anything you're keen to hear us discuss, we'd love to hear it!
Episode 15: Academic Life Course Olympics
2024/04/30
If the academic life course were a sport, what would it be? Marathon? Hurdles? Bobsled? Find out how your GLaD co-hosts answer that question in this episode, as we discuss academic life course events, the various burdens that assail us at every stage, and how we manage (or don't).

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5 out of 5
6 reviews
★★★★★
defuneste 2025/10/03
Geography, academic life and data!
Not an academic anymore but I really like listening to this podcast, it covers geography, topics around spatial data science, GiS and geocomputation (...
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