On the Carbon Footprint of Economic Research in the Age of Generative AI
2026-03-31T08:51:48Z•357728d02c6d5ce5e940c0674fa875b8ff3c5a101a5604f3d4213b1975a7478a
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What happened
Collection of recent CS/SE arXiv papers covering: (1) environmental impacts of generative AI workflows and prompt/governance levers to reduce CO2e in research pipelines; (2) GISclaw, an open-source LLM-powered, full-stack geospatial agent system with pluggable architectures and evaluation protocol; (3) EZASP, a VS Code extension to support a structured fragment of Answer Set Programming; (4) NBRewind, a dual-kernel system for incremental, reproducible execution of distributed notebook workflows; (5) a constraint-based round-trip engineering vision for tactical Domain-Driven Design; (6) ETNA, a
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 357728d02c6d5ce5e940c0674fa875b8ff3c5a101a5604f3d4213b1975a7478a
- Enrichment time
- 2026-03-31T08:51:48Z
- AI-assisted enrichment
- Yes
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