socioeconomic-feedback-utac
GenesisAeon Package 96 — real climate-socioeconomic feedback science. Deliberately has no UTAC/CREP/AFET bridge, and explicitly avoids a retracted headline citation — see DISCLAIMER.md.
For a plain-language explanation of the same topic (German, no jargon, written for general audiences), see WHITEPAPER.md.
What's real here
- Burke, Hsiang & Miguel (2015, Nature): economic productivity peaks at 13°C annual average temperature; unmitigated warming projected to cut average global income ~23% by 2100 and widen inequality.
- Cattaneo et al. (2024, IMF Working Paper): climate variability projected to add 73-91 million emigrants in the 2030s, rising to 87-133 million in the 2060s.
- Deliberately does not cite Kotz, Levermann & Wenz (2024, Nature) — retracted by Nature in December 2025 — see DISCLAIMER.md.
Quickstart
pip install socioeconomic-feedback-utac
from socioeconomic_feedback_utac import is_above_productivity_optimum
print(is_above_productivity_optimum(25.0)) # True
Development
pip install -e ".[dev]"
pre-commit install
ruff check src tests
mypy src
pytest
Citation
See CITATION.cff and .zenodo.json.
1 maintainer
Metadata
1 maintainer
Release files for socioeconomic-feedback-utac 1.0.1
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| socioeconomic_feedback_utac-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.2 kB
Release files / socioeconomic_feedback_utac-1.0.1.tar.gz
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