Complex Systems Studies

How are people able to map knowledge from one domain to another? I'll report a series of studies showing that people's cross-domain mappings were best predicted by similarity along abstract dimensions such as valence, complexity, and genderedness - a finding that could be reliably simulated by language models. In an ongoing study, we further asked what allows people to process cross-domain mappings so easily by drawing insights from a network perspective. https://www.youtube.com/watch?v=DkiCE8rBi9k

How to Make Your Research and Code Reproducible and Reusable? https://youtu.be/SyQl8kJvSxs 00:00 Introduction 01:42 Beginning of the presentation by Mika Jalava 03:25 What is research reproducibility? 06:01 Reproducibility crisis 07:43 Why is reproducibility so important? Who should care? 10:15 What deters reproducibility? 18:33 Importance of the whole computational environment 20:17 What is "computational environment"? 26:02 Random effects 29:06 Human-side of the reproducibility crisis 33:07 Requirements for reproduction 35:58 What can we do to improve reproducibility? 39:23 Practical take-home

DDSA provides funding for national and international bachelor’s and master’s degree students, PhD students and postdoctoral researchers to spend time with new research groups of interest in Denmark. The purpose of the grant is to give students and young researchers the opportunity to form the basis for a future PhD or Postdoc fellowship application in collaboration with a potential supervisor from a Danish university or a Danish research institution. https://ddsa.dk/visitgrant/

#postdoc at PITT Computational Social Dynamics Lab (PICSO LAB) https://docs.google.com/forms/d/e/1FAIpQLScMjkriluvf48Jc7YCVvDJhYm90XkNKUzCjjEbeqlvziRFWNQ/viewform

Large language models and transformers: perspectives from physics, neuroscience and theory https://youtu.be/qXEuY6qLISE

#postdoc researcher to join the Inverse Complexity Lab at IT:U, Linz, Austria. https://skewed.de/lab/call.html Deadline is 30 Nov 2024.

How to Make Your Research Reproducible Science is about standing on the shoulders of giants – making new discoveries and building new applications by reusing foundations laid by others. But however collaborative a process science is, we don’t always make it easy. Have you ever tried but failed to reproduce someone else's reported research results? How about your own results? According to scientific research, this is not uncommon in academia, which has led to the phenomenon being dubbed as "the reproducibility crisis". And reproducibility is just the first step of reusability. In this webinar, we will discuss the challenges in reproducibility and reusability of scientific data, methods, and computer code. What do the terms really mean and how can we take steps to improve our work to take them into account. https://www.aalto.fi/en/events/how-to-make-your-research-reproducible-oct-24-2024

How easy is it to hide in the crowd? https://www.sandsynligvis.dk/2024/10/01/hvor-let-er-det-at-skjule-sig-i-m%C3%A6ngden/

The 2024 #NobelPrize laureates in physics used tools from physics to construct methods that helped lay the foundation for today’s powerful machine learning. The Hopfield network can store patterns and has a method for recreating them. When the network is given an incomplete or slightly distorted pattern, the method can find the stored pattern that is most similar. Read more about the research that led to this year’s physics prize: https://bit.ly/3Bi9H8u

A 2019 study, by looking at citation networks, found that papers with more authors tend to receive more citations — large teams are good at developing a field. However, they found that the smallest teams — between one and three authors — were significantly more likely to publish disruptive results that could change the course of a field. So, in terms of sheer creativity, smaller groups seem to have an advantage. https://www.nature.com/articles/s41586-019-0941-9

#postdocs in AI, ML, Cogsci, or related areas: apply to work with me and others on AI models of visual and multimodal reasoning. Two years of funding with possible extension to a third year. Application deadline November 22. https://santafe.edu/about/jobs/postdoc-ai-modeling

Also #Postdoc Researcher positions (m/f/d) | Active Matter and Statistical Physics https://www.ds.mpg.de/4068189/job_full_offer_23470819

#PhD student positions in Active Matter and Statistical Physics. The research area will build on ongoing projects in the group, such as non-reciprocal active matter. Information on how to apply at the link below: https://www.ds.mpg.de/4068011/job_full_offer_23470793

Winter Workshop on Complex Systems between January 26th and 31st in the mountains of Lombardy, Italy. Please complete your application by October 13th, 2024! Check out the website (https://wwcs2025.github.io/) or our X-page (https://x.com/winter_complex) for more updates. 

#Postdoc fellow in Philosophy of AI & Socially-Aware Artificial Intelligence Department of Historical, Philosophical and Religious Studies https://www.umu.se/en/work-with-us/open-positions/postdoctoral-fellow-in-philosophy-of-ai--socially-aware-artificial-intelligence_746500/

Ising-like model predicts close elections https://www.nature.com/articles/s42254-024-00753-w Dislike of general opinion makes for tight elections https://journals.aps.org/pre/abstract/10.1103/PhysRevE.109.044106

#PostDoc positions in Computational Collective Behavior at UC Davis and Cornell University https://www.scoop.it/topic/cxannouncements/p/4161257073/2024/09/19/post-doctoral-positions-in-computational-collective-behavior-at-uc-davis-and-cornell-university/

#PhD fellowship in the emergence of social network structures at SODAS❗ Social networks (the patterns of social interactions between individuals) show high structural diversity across humans and non-human animal species, and these structures affect important processes such as the spread of disease and information. This PhD is part of a larger project called ‘New computational approaches for understanding the emergence of social network structures’, funded by the Novo Nordisk Foundation. The deadline for applications is: 23:59 CETS on October 6, 2024❗ Apply and read more here: https://lnkd.in/e3cgUgpY

#Postdoc in social network emergence and methodology at SODAS! 👀 This postdoc is part of a larger project called ‘New computational approaches for understanding the emergence of social network structures’, funded by the Novo Nordisk Foundation. The postdoc will likely work on exploring a new idea for how information about underlying processes can be extracted from network data, in collaboration with the project team. The deadline for applications is: 23:59 CETS on October 6, 2024❗ Apply and read more here: https://lnkd.in/e9pmwJYP