And lastly I speculate about the future and general ability of computational research to aid in such democratisation and scientific efforts. What are its limits? Ethical propblems?

Further I generally systematize and map simulation approaches to their characteristic domains of validity and specific application areas in studying radical democratisation proposal

I am reading and learning about models of opinion and cultural change and diffusion.

Particularly with relevance to agent-based models or network models.

The main classes I have identified so far are as follows. Anything I am missing?

Exciting News 📣🫵

Wolfram Barfuss and I are organising a special track at the
Social Simulation Conference 2025 in Delft.

On "Artificially Intelligent Agents in Social Agent-based Models"

The call is out now. ssc2025.tbm.tudelft.nl/important-da... Looking forward to exciting contributions.✍️

I mean look at this graph. How is this labelled as clear evidence for a positive association? Am I misunderstanding something here? thanks

The reported effect size is either extremely tiny or literally non existing (as for the case of influence of awarness Just Stop Oil protests on climate policy support)

My overleaf.

The model explores the scenario space in a systematic manner by scoping different combinations of end points in time and income levels that the world converges to.

If you are interested what the model and paper find give it a read. Feedback and discussion welcome.

In the model countries, and groups within converge to the same income points.

Here is an example trajectory for the USA until 2100

It fills the exisiting scenario space by radical income convergence scenarios that achieve varying average global outputs per capita

Since I never shared in the new, more amicable, space

here is my current working paper on

"Global convergence of incomes in a climate‐constrained
world"

which aims to scope the general scenario space of global income convergence and emission implications.

This is about optimally combining model predictions with new, “incoming”, observations. Here is a very crude illustration of the idea:

Traditional economic models struggle with:
Real-time uncertainty in data.
Dynamically shifting conditions (e.g., crises).

Periodic reminder that the smallest nations of Earth, including many island states, emit only a fraction of industrialized nations. Here is a comparison between the 50 least emitting nations and what super low fruit hanging policies in Germany could have saved (under the now defunct government).

Our paper on An Agent-Based Model of the 2020 International Policy Diffusion in Response to the COVID-19 Pandemic is cited only 2x,

but it is cited in a metaphysical discussion of what computational simulations actually are and represent😄😍.

cool! metaphysicsjournal.com/articles/10....

Overall, Trump won with 51% to 49% of all votes.

Hardly a landslide.

America pretty much 50/50 polarised as ever.

Source @TheEconomist