Complex Systems Studies
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#complexity #complex_systems #networks #network_science

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Six tips for interdisciplinary lovers

I think I know a lot about interdisciplinary collaborations, so I’ve been planning to write down some notes for a long time. Tongue in cheek, but also serious.
https://petterhol.me/2023/10/06/six-tips-for-interdisciplinary-lovers/


Take time to get to know each other
Yes, it will take time. It might feel like you understand each other from the moment you met; that it’s all destiny. It might be so! Still, if you come from different cultures, you need to learn the language of one another. Spend time talking. Take long walks together. Read each other’s favorite books.


Make sure you have the same goal
What defines a good outcome of research varies much for different disciplines. Make sure that you understand your partner. Sometimes, the differences are so fundamental that you don’t even notice them at first: E.g., should you try to understand the world as it is, or try to improve it?


It is not about division of labor
Of course, your different expertise is an extraordinary asset, but not because you can divide the project into each other’s areas and save time by doing what you’re good at. The point is, rather, that you might tap into that elusive collective intelligence while discussing the research from different angles. Developing a method is never as effective as when you really know the context of the problem the method is supposed to solve. Trying an exotic method without understanding its limitations might lead to the wrong kind of sleepless nights.


Don’t wait too long to introduce the family
Your relationship is not only about the two of you. Your other colleagues can also widen their cultural perspectives of your new interdisciplinary partner. Yes, they might not immediately approve of collaboration. Prepare for arguments your heart knows are wrong: “It’s a waste of time.” “He/she will not understand you.” “You need to be able to communicate with your partner in your native language.” Etc. But, a first meeting is a start. With time, you will show them what true collaboration means. Eventually, all the beautiful papers you will make will, of course, melt the frozen heart of your supervisor or narrow-minded colleague.


Don’t be jealous
You are two different people, after all, with different social circles. Your careers up to this point are a part of who you are that you don’t have to forget or ignore. Give your collaborator all the freedom s/he deserves. Nothing bad will come out of that. You don’t have to know everything he/she is doing. Be generous, not jealous.


It doesn’t always work out

No matter how passionate your research was in the early days, it will cool down and reach a more mature stage. You might also realize that it’s better to call it quits. Sometimes the greatest courage is not to hold on, but to let go. It will hurt to break the promises you made in the beginning, but think instead about the journey you have had together. You’ve both learned a lot, and you probably came out of it as better persons, both ready for greater interdisciplinary science in the future.
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Interested in doing a #PhD on AI for the physical sciences at Cambridge? I am taking PhD students for 2024!! Please find information below, including a list of projects:

astroautomata.com/prospectives/

(Deadline typically early December or January, depending on program)
Interested in network theory and machine learning? We are hiring a 2-year #postdoc

https://www.giuliocimini.com/team/openings
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Several #postdoc positions are available in Budapest in various
research groups in discrete mathematics and probability theory.

Information about the research groups are listed here:
https://erdoscenter.renyi.hu/events/drafting-workshop-discrete-mathematics-and-probability-2024
Archaeologists and historians are joining forces to offer a summer school in network analysis!

🪡 pastnetworks.net

25-29.06.2024, Barcelona
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I'm now on Bluesky, too:
https://bsky.app/profile/abbasrizi.bsky.social

🌀 Follow me for my latest thoughts on networks, epidemic interventions, and science communication.
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If there are network #postdocs interested in analytics, simulations or ML of dynamics on networks, please contact me.

https://twitter.com/VinkoZlatic/status/1724834515984511281
The renormalization group for non-equilibrium systems

Historically, most renormalization group studies have been performed for equilibrium systems. Here, I give a personal reflection on the unexpected outcome of studying non-equilibrium flocking using renormalization methods.

https://www.nature.com/articles/s41567-023-02196-z
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Social Data Science Student Hackathon, a 48-hour online contest for BA/BSc and high school students. If you know any students who might be interested, please pass on this information. Details: bit.ly/sdshack
Passionate about decoding global inequality? 🌏 Join us at SFI as an Applied Complexity #Postdoc Fellow in the groundbreaking ENDOW project. Collaborate with top minds and unravel wealth dynamics worldwide.

Apply by Jan 16, 2024.

Learn more: https://santafeinstitute.teamtailor.com/jobs/3310580-applied-fellow-social-and-economic-inequality
An annual Social Data Science Student Hackathon, a 48-hour online contest for BA/BSc and high school students. If you know any students who might be interested, please pass on this information. Details: http://bit.ly/sdshack
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Intro to Large Language Models

https://www.youtube.com/watch?v=zjkBMFhNj_g

This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.
As of November 2023 (this field moves fast!).

Context: This video is based on the slides of a talk I gave recently at the AI Security Summit. The talk was not recorded but a lot of people came to me after and told me they liked it. Seeing as I had already put in one long weekend of work to make the slides, I decided to just tune them a bit, record this round 2 of the talk and upload it here on YouTube. Pardon the random background, that's my hotel room during the thanksgiving break
#PhD Research Fellow in Computational Biology and Systems

You will be developing regulatory network-based approaches to predict patient-specific drug response in hematological cancers

https://www.jobbnorge.no/en/available-jobs/job/253972/phd-research-fellow-in-computational-biology-and-systems
Early in your #network_science career? Level up at the Lake Como School in Como, Italy!
https://ntmh.lakecomoschool.org

The Lake Como school “Complex Networks: Theory, Methods, and Applications”
May 27-31, 2024
Villa del Grumello, Como, Italy
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#PhD thesis in Statistical Physics of Active Matter
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.


https://recruitment.uni.lu/en/details.html?nPostingId=86937&nPostingTargetId=126462
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#PhD student in Complex Systems and Data Science for Fall 2024 to work with me at UVM. I am looking for students interested in data ethics and computational social science.

https://www.uvm.edu/socks/node/67?job_id=8