The GLaD Podcast recognised with AAG award
This happened, the GLaD podcast is now the “award-winning” GLaD podcast:
https://www.aag.org/2026-aag-awards-recognition/
Reproduced here for posterity:
AAG Media Achievement Award
The 2026 Media Achievement Award is presented to Drs. Daniel Arribas-Bel, Rachel Franklin and Levi Wolf, the co-creators and hosts of the Geography, Life + Data (GLaD) Podcast. This podcast is celebrated for enhancing the understanding of geography by exploring the intersection of our discipline with data science, public life, and academia—or, as their episode intro says, “geography, life, geography life, and data. Launched in 2023, the GLaD Podcast and its predecessor series have produced over 50 episodes, amassing over 8,000 downloads, over 15,000 views on YouTube, and attracting more than 5,000 listeners worldwide. The podcast is renowned for its ability to simplify complex topics—such as spatial data science and urban analytics—through an engaging and accessible conversational style. It effectively breaks down barriers for students, early-career researchers, and non-specialists. Recognized as an invaluable educational resource, it has been integrated into graduate seminars and serves as a platform to humanize leading scholars. The podcast offers candid, practical advice on academic challenges like job searching and conference navigation, fostering a supportive community. GLaD’s continued independent production underscores the creators’ commitment to bridging the gap between academic research and the wider public.
Like most things worth your time in life, we did not set out to do a podcast (the “I’m in a band” of the XXIst Century…) for the awards, but it does feel very good to be recognised, mostly by people listening to it every month, and now with this too.
Thank you, thank you, thank you to everyone who’s clicked on the Play button at some point. And Thank you, Thank you, Thank you to the kind souls who nominated us for the award. Like I’ve said elsewhere, whatever they tell you, what academics really crave is peer recognition, and this feels pretty close to it!