DinoCarpentras

@JustaNormalDino
11 Followers
95 Following
53 Posts

Postdoc at ETHz - Associate Editor HSScomms

Exploring Opinion Dynamics and Collective Intelligence with social simulations and belief networks.

Opinion dynamics models do _not_ need to be an abstraction of reality. You can also build them to reproduce measured human behaviour in experiments.

https://www.jasss.org/25/4/4.html

Deriving an Opinion Dynamics Model from Experimental Data

by Dino Carpentras, Paul J. Maher, Caoimhe O'Reilly and Michael Quayle

Journal of Artificial Societies and Social Simulation

It took me a while, but we finally have the second episode of the Computational Social Science podcast!

This time, we talk about collective intelligence 🧐

You can find it on Youtube...
https://youtu.be/547ZQAa_koE

...or on your favourite platform
https://www.buzzsprout.com/2226458/episodes/19176707-ep-2-what-makes-a-group-intelligent-or-stupid

What makes a group intelligent or stupid?

YouTube

Just found out that the paper where Galton introduced correlation has fewer than 1,000 citations. It makes sense that people don’t cite it every time, but that still feels surprisingly low!

https://royalsocietypublishing.org/rspl/article/45/273-279/135/39211/I-Co-relations-and-their-measurement-chiefly-from?guestAccessKey=

I. Co-relations and their measurement, chiefly from anthropometric data

Abstract. “Co-relation or correlation of structure” is a phrase much used in biology, and not least in that branch of it which refers to heredity, and the

The Royal Society

Year 3 of asking ChatGPT to write a joke about ABMs.

Main finding: Instead of producing better jokes, it’s just becoming aware that they’re simply not funny.

Do we really need representatives in a democracy? Our paper shows how systems based on collective intelligence could be used by citizens to identify and find solutions to their problems even at a national scale!

https://www.researchgate.net/publication/397018149_The_Wisdom_of_the_Democratic_Crowd_Allowing_Collective_Intelligence_at_Massive_Scale

Today we have the first public event of the Special Interest Group on Strongly Empirical Modelling, with a talk from Bruce Edmonds titled: Towards inferring clusters of “cognitive models” from survey data. See you at 2pm CET!
https://ethz.zoom.us/j/66230792870
Join our Cloud HD Video Meeting

Zoom is the leader in modern enterprise cloud communications.

Zoom
Why do people prefer using statistical tests that nobody ever heard of instead of just bootstrapping? (I'm really asking, it's not a complaint or sarcastic or anything)
Wouldn't bootstrapping also make results more understandable?

Another figure from a (now retracted) scientific publication. I'm not an expert, but I feel proportions may be a little off...

https://www.swissinfo.ch/eng/science/wrong-ai-generated-images-in-scientific-journal-put-a-strain-on-swiss-publisher-frontiers/73657004

Yes, this is a real image from a scientific publication 😅

https://www.sciencedirect.com/science/article/pii/S0304380025001966

Some years ago I applied ResIN to a Harry Potter dataset. The more two people are similar (in terms of how they relate to other characters), the tighter their connection. As you can see, the HP world is heavily polarized.
But now my question is: why did I do something like that??