CMPLXSYS 351 - Introduction to Social Science Data
Spring 2023, Section 101

https://www.lsa.umich.edu/cg/cg_detail.aspx?content=2430CMPLXSYS351101&termArray=sp_23_2430#ClassTextbooks

Postdoctoral position in Computer Science with a focus on Professional Competences and Equal Opportunities

https://www.uu.se/en/about-uu/join-us/details/?positionId=607358

We are looking for a #postdoc research associate to study physics of elastic turbulence at the School of Physics & Astronomy, University of Edinburgh, UK. Candidates with experience in fluid dynamics of Newtonian and complex fluids, high-performance computing, and track record in transition to turbulence, coherent structures, and dynamical systems are strongly encouraged to apply. For further details, please visit: tinyurl.com/3kh9etsj. Deadline: May 10, 2023.

#PhD
Looking for a PhD in computational social sciences ? We are launching a call for application for a PhD Grant starting in 2023 on opinion dynamics and social networks evolution
@ISCPIF

Under the co-direction of
@AraluHernandez
Details on
https://twitter.com/chavalarias/status/1648723785002917888?s=20

The Unreasonable Effectiveness of Contact Tracing on Networks with Cliques

🔗 arxiv.org/abs/2304.10405

Contact tracing, the practice of isolating individuals who have been in contact with infected individuals, is an effective and practical way of containing disease spread. Here, we show that this strategy is particularly effective in the presence of social groups: Once the disease enters a group, contact tracing not only cuts direct infection paths but can also pre-emptively quarantine group members such that it will cut indirect spreading routes. We show these results by using a deliberately stylized model that allows us to isolate the effect of contact tracing within the clique structure of the network where the contagion is spreading. This will enable us to derive mean-field approximations and epidemic thresholds to demonstrate the efficiency of contact tracing in social networks with small groups. This analysis shows that contact tracing in networks with groups is more efficient the larger the groups are. We show how these results can be understood by approximating the combination of disease spreading and contact tracing with a complex contagion process where every failed infection attempt will lead to a lower infection probability in the next attempts. Our results illustrate how contract tracing in real-world settings can be more efficient than predicted by models that treat the system as fully mixed or the network structure as locally tree-like.

🧵Check out this thread: https://threadreaderapp.com/thread/1649344692771778560.html

Information Theory for Complex Systems Scientists
Thomas F. Varley

https://arxiv.org/abs/2304.12482

Lectures on Statistical Physics

http://sgovindarajan.wikidot.com/statistical-physics

IMPRS #PhD program is only accepting applications for another 5️⃣ days.

👉imprs-mis.mpg.de

Workshop on Stochastic Thermodynamics

https://indico.ictp.it/event/10171

Kobe University's Center for Computational Social Science is hosting an online symposium on behavioral and computational social science on May 8th (JST).

http://ccss.kobe-u.ac.jp/event/seminar_all/2023/202305081630.html

A comprehensive review of signal propagation in complex networks:
https://doi.org/10.1016/j.physrep.2023.03.005

#PhD

HyGraph: PhD Position on Graph Data Management  at DB Team/LIRIS Lab, Lyon (France).

The Database Team of the LIRIS Lab is opening a fully funded PhD position on graph data management. The position is funded for 3 years under a recent international ANR/DFG (French/German) Project “HyGraph: Querying and Analytics on Hybrid Graphs”.

The overarching goal of the project (PI: Prof. Angela Bonifati) is to design an hybrid data model that seamlessly combines temporal graphs with time series and enables high-frequency updates through graph streams. This combination in a unified hybrid model paves the way to novel unprecedented query, analysis, data mining and machine learning tasks.

To apply, send a CV, a letter of motivation, three recommendation letters together with full Master grade transcripts to the names listed below:
Angela Bonifati (Angela.Bonifati@univ-lyon1.fr)

#Postdoc (London, United Kingdom)
Real-time modelling of infectious disease outbreaks

https://iddjobs.org/jobs/2-postdoc-positions-in-real-time-modelling-of-infectious-disease-outbreaks

Department of Linguistics and Scandinavian Studies

Associate Professor of Linguistics with a Specialization in Computational Linguistics

#PhD Candidate in Network Science

To apply for this vacancy, please send an email to jobs@liacs.leidenuniv.nl with the subject “PhD Application
for Vacancy No. 23-340”

Call for Abstracts: Conference on Complex Systems 2023
https://sco.lt/5EWya8

Now accepting applications for IceLab Camp. Learn to prepare interdisciplinary research proposals. For early career researchers from anywhere, not just Sweden. Free to participate in! Apply here:

https://icelab.se/event/icelab-camp-2023/