What does the coronavirus pandemic sound like? The voices of people struggling, secluding and surviving around the world
What does the COVID-19 pandemic sound like?
For this episode, Dallas Rogers – a senior lecturer in the School of Architecture, Design and Planning at the University of Sydney – asked academic colleagues from all over the world to open up the voice recorder on their phones and record a two minute report from the field about their city.
Many of those who responded to the call are struggling, just like us, to make sense of their experience in the COVID-19 city.
The resulting stories reflect on hygiene, disease, quarantine, social control and the urban environment from cities around the world.
If you want to hear all the stories in full, you can find them here, and read more about the project here.
Contributors
Roger Keil (@rkeil), Professor at York University
Jason Byrne (@CityByrne), Professor at the University of Tasmania
Kurt Iveson (@kurtiveson), Associate Professor at the University of Sydney
Tanja Dreher (@TanjaDreher), Associate Professor at the University of NSW
Carolyn Whitzman (@CWhitzman), Professor and Bank of Montreal Women’s Studies Scholar at the University of Ottawa
Tooran Alizadeh (@DrTooran), Associate Professor at the University of Sydney
Eugene McCann (@EJMcCann), Professor at Simon Fraser University
Beth Watts (@BethWatts494), a Senior Research Fellow at Heriot-Watt University
Amanda Kass (@Amanda_Kass), PhD candidate at the University of Illinois at Chicago
Elle Davidson, Aboriginal Planning Lecturer at the University of Sydney
Creighton Connolly (@Creighton88), Senior Lecturer at the University of Lincoln
Kelly Dombroski (@DombroskiKelly), Senior Lecturer at the University of Canterbury
Kate Murray (@katiemelbourne), Connected Cities Lab at the University of Melbourne
Em Dale (@carnivoresetal), at Oxford University
Matt Novacevski (@places_calling), PhD candidate at the University of
Hosts & Guests
Information
- Show
- Channel
- Published3 April 2020 at 03:30 UTC
- Length31 min
- RatingClean