EML Reading Group

The EML Reading Group (#EMLRG) invites all those interested in a gentle conversation about various topics related to environmental media. The reading group is open to a wide array of topics in science and technology, and critical media theory. Each session will happen over Twitter and be facilitated by a point person for that theme. Each session will require you to read one article (or two) and (possibly) also engage with an online artwork.

We will document and share the results of our conversations, which can be used as a teaching tool (please credit the EML). We will draw out the main argument being made (and how it is supported), key thinkers and concepts, links to other works on the topic, and takeaway questions. If you’d like to lead a reading topic please write to [email protected] or tweet at us. These tweet-meetings are not happening on a regular schedule, but rather follow the flows of pandemic life.


ConditionS of Existence

LED BY Tony Cho on October 21 from 10:30 to 11 a.m. mt

Françoise Vergès’s “Capitalocene, Waste, Race, and Gender” (May 2019) https://www.e-flux.com/journal/100/269165/capitalocene-waste-race-and-gender/

Elizabeth A. Povinelli’s “The Wasted Earth: Excess, Superabundance, and Sludge” (September 2022) https://www.e-flux.com/journal/129/484262/the-wasted-earth-excess-superabundance-and-sludge/


Sediments & Archives

LED BY ROBYN LEE on October 21 from 10:00 to 10:30 a.m. mt

Shannon Mattern’s “The Big Data of Ice, Rocks, Soils, and Sediments: Inside the material archives of climate science.” (November 2017) https://placesjournal.org/article/the-big-data-of-ice-rocks-soils-and-sediments/?cn-reloaded=1


anti-capitalism

LED BY Andrew Bateman on march 16 from 10 to 11 a.m. mt

Ajay Singh Chaudhary’s “The Extractive Circuit” (November 2021) https://thebaffler.com/salvos/the-extractive-circuit-singh-chaudhary


writing with ai

LED BY Crystal Chokshi on february 23 from 10 to 11 a.m. mt

Alisor South’s “The Pleasure Panic” (9 February 2022)
https://www.heliotropejournal.net/helio/the-pleasure-panic


A SENSE OF PLACE

LED BY FELIX LOFTUS ON October 12, 2021 FROM 10 TO 11 A.M. mt

zteve t evans’s “Dartmoor folklore: The Witch of Vixen Tor” (3 March 2016) https://folkrealmstudies.weebly.com/dartmoor-folklore-vixiana-the-witch-of-vixen-tor.html


ON THE PROBLEMS OF “FIRSTING”

LED BY CRYSTAL CHOKSHI ON APRIL 20, 2021 FROM 10 TO 11 A.M. mt

Max Liboiron’s “Firsting in research,” Heliotrope (3 March 2021) https://www.heliotropejournal.net/helio/firsting-in-research


NFTs… WTF?

LED BY ZANE GRIFFIN TALLEY COOPER ON MARCH 23, 2021 FROM 10 TO 11 A.M. mt

SuperRare’s “No, cryptoartists aren’t harming the planet” (2 March 2021) and Everest Pipkin’s “Here is the article you can send to people when they say ‘But the environmental issues with crypto art will be solved soon, right?’” (3 March 2021)


CREEPY MEASURES

LED BY Tessa J Brown ON February 16, 2021 FROM 10 TO 11 A.M. (MOUNTAIN TIME)

Geoffrey A. Fowler’s “Amazon’s creepy new health wearable analyzes your voice and your body” Washington Post (27 August 2020) https://www.washingtonpost.com/technology/2020/08/27/amazon-halo-wearable/


“ORGANIC” EXPERIENCE

LED BY MADELEINE MENDELL ON JANUARY 20, 2021 FROM 10 TO 10:30 A.M. mt

Elinor Carmi’s “The organic myth,” Real Life (14 December 2020) https://reallifemag.com/the-organic-myth/


promoting oil

led by crystal chokshi on december 15, 2020 from 10 to 10:30 a.m. (Mountain time)

Bill McKibben’s “When ‘creatives’ turn destructive: Image-makers and the climate crisis,” The New Yorker (21 November 2020)
https://www.newyorker.com/news/daily-comment/when-creatives-turn-destructive-image-makers-and-the-climate-crisis#intcid=_the-new-yorker-bottom-recirc_bffa953e-43a0-403f-a4db-1c303c6c1bdf_text2vec1


AI and authoritarianism

led by Mél Hogan on november 11, 2020 from 10 to 10:30 a.m. (Mountain time)

Di Minardi’s “ARTIFICIAL INTELLIGENCE: The grim fate that could be ‘worse than extinction,’” BBC Future (15th October 2020) https://www.bbc.com/future/article/20201014-totalitarian-world-in-chains-artificial-intelligence