Socioeconomic Feedback

DISCLAIMER — Real Science, No Framework Bridge, One Retraction Explicitly Avoided

Why no UTAC/CREP/AFET bridge: not only because the cited literature already provides the necessary quantitative structure -- a deliberate choice. This project's highly speculative AFET/UTAC experiments must never stand in the way of climate/ecology topics being accessible and usable to people who don't work inside that construct and aren't looking for renormalization groups. Real, checkable science, without the burden of an unproven framework. See PACKAGE_REGISTRY.md's "Why no UTAC/CREP/AFET bridge in the climate/ecology series" (2026-08-31) in the GenesisAeon workspace root for the full canonical note.

Status: Real, verified science + NO UTAC/CREP/AFET bridge

What this is

• Burke, Hsiang & Miguel (2015, Nature 527, 235-239): a well-replicated
• finding that economic productivity peaks at an annual average
• temperature of 13°C and declines at higher temperatures; unmitigated
• warming is projected to reduce average global income by roughly 23%
• by 2100 relative to a no-climate-change scenario, and to widen global
• income inequality (most low-income countries are already above the
• productivity optimum; most high-income countries are near or below it).
• Cattaneo, Massetti, Dasgupta & Farinosi (2024, IMF Working Paper
• WP/24/58): climate variability is projected to add 73-91 million
• emigrants globally in the 2030s, rising to 87-133 million in the
• 2060s, with a nonlinear increase in outmigration above ~25°C annual
• average temperature. The authors themselves note that population
• growth in origin countries, not climate variability alone, is the main
• driver of the absolute numbers.

What this deliberately avoided

• **Kotz, Levermann & W

…

socioeconomic-feedback-utac

[](https://github.com/GenesisAeon) [](https://github.com/GenesisAeon/socioeconomic-feedback-utac/actions/workflows/ci.yml) [](https://www.python.org) [](LICENSE) [](https://doi.org/10.5281/zenodo.21798244)

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

bash pip install socioeconomic-feedback-utac

```python from socioeconomic_feedback_utac import is_above_productivity_optimum

print(is_above_productivity_optimum(25.0)) # True ```

Development

bash pip install -e ".[dev]" pre-commit install ruff check src tests mypy src pytest

Citation

See CITATION.cff and .zenodo.json.