| Web | https://facctrec.github.io/facctrec2023 |
| Web | https://facctrec.github.io/facctrec2023 |
We're back! FAccTRec is returning to #RecSys2025, and our website and CFP are now live: https://facctrec.github.io/facctrec2025/
Papers are due July 10.
"On average, a single deep learning-based paper generates 3,297 kilograms of CO2 equivalents" https://arxiv.org/pdf/2408.08203
In 2023, there were ~16k #deeplearning #recsys papers published according to Google Scholar .
3.3 tonnes x 16k = 52.8 tonnes of CO2.
Meaning that: #recsys research emits roughly the same amount of CO2 annually as the British Virgin Islands. https://en.wikipedia.org/wiki/List_of_countries_by_carbon_dioxide_emissions#Fossil_CO2_emissions_by_country/region
We're back!!! Pleased to announce that FAccTRec will be returning to #RecSys2024. Details coming soon.
See you all in Bari!