And there's a sibling piece led by @drnikko.bsky.social about trans specific data epistemologies journals.sagepub.com/doi/full/10....

We highlight how trans data can be used to build new data collection, analysis, and communication systems that serve trans liberation and help reorient researchers to the deep political commitments of data for and about trans people. And also there are implications for data advocacy + CSCW research!

We create a design/research agenda called trans data that prioritizes trans ppl (drawing on prev research abt trans tech + trans competent interaction design). We propose:
1) Trans data materially improves trans lives.
2)Trans data crosses boundaries.
3) Trans data requires constant power analysis.

They record data in structured formats like databases but also informally through building things like "the trans brain trust on making name changes." They also refuse data (to protect trans ppl) + use data to reframe common narratives.

We got to think about how US trans activists use data in interesting + nuanced ways that affirm expansive definitions of data like stories, letters, and more. They research for data through traditional methods like in-person data gathering but also through embodied work as activists.

We propose a "down to earth" approach to AI for sustainability that 1) engages intended beneficiaries and advocates
2) address the urgency of the climate crisis
3) evaluates societal and environmetal impacts

Some of it stems from systematic barriers developers face, a lack of systematic approaches to climate change that address root causes, and not a lot of useful AI tools for climate and environmental advocates. There's also a lot of skepticism for the sustainability impacts of the actual AI itself.

We look at how developers of AI for sustainability + environmental and climate advocates perceive + use AI. We found that everyone cares about the planet + people which is why they do this work, but there's a lot of barriers preventing effective AI for sustainability.