Forwarded from Sitpor.org سیتپـــــور
علوم اجتماعی محاسباتی چیه؟
آیندهش چه جوریه؟
علوم اجتماعی محاسباتی (Computational Social Science) یک شاخه جدید و میانرشتهای است که علاوه بر روشهای سنتی مانند نظرسنجیها، از ابزارهای محاسباتی و دادههایی مثل فعالیتهای آنلاین، شبکههای اجتماعی و اطلاعات دیجیتال برای مطالعه و تحلیل رفتارها و روابط اجتماعی استفاده میکند.
این علم به ما کمک میکند تا الگوهای پیچیده در جوامع انسانی را بهتر بفهمیم، رفتارهای گروهی را پیشبینی کنیم، و تأثیر سیاستها یا رویدادهای مختلف را بر جامعه ارزیابی کنیم. به طور خلاصه، علوم اجتماعی محاسباتی ترکیبی از دادهها، فناوری و تحلیلهای اجتماعی است تا تصویری دقیقتر از جهان اجتماعی ارائه دهد.
🎞 ویدیو در یوتیوب
🎧 فایل صوتی
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@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
آیندهش چه جوریه؟
علوم اجتماعی محاسباتی (Computational Social Science) یک شاخه جدید و میانرشتهای است که علاوه بر روشهای سنتی مانند نظرسنجیها، از ابزارهای محاسباتی و دادههایی مثل فعالیتهای آنلاین، شبکههای اجتماعی و اطلاعات دیجیتال برای مطالعه و تحلیل رفتارها و روابط اجتماعی استفاده میکند.
این علم به ما کمک میکند تا الگوهای پیچیده در جوامع انسانی را بهتر بفهمیم، رفتارهای گروهی را پیشبینی کنیم، و تأثیر سیاستها یا رویدادهای مختلف را بر جامعه ارزیابی کنیم. به طور خلاصه، علوم اجتماعی محاسباتی ترکیبی از دادهها، فناوری و تحلیلهای اجتماعی است تا تصویری دقیقتر از جهان اجتماعی ارائه دهد.
🎞 ویدیو در یوتیوب
🎧 فایل صوتی
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
YouTube
علوم اجتماعی محاسباتی چیه؟ آیندهش چه جوریه؟
About computational social science
#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
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
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
#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
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
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
#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/
https://www.scoop.it/topic/cxannouncements/p/4161257073/2024/09/19/post-doctoral-positions-in-computational-collective-behavior-at-uc-davis-and-cornell-university/
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
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
Nature
Ising-like model predicts close elections
Nature Reviews Physics - A model of voters, based on the Ising model, gives an explanation for why elections are often so close.
#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/
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/
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.
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.
#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
https://www.ds.mpg.de/4068011/job_full_offer_23470793
Max-Planck-Gesellschaft
PhD positions (m/f/d) | Active Matter and Statistical Physics
PhD positions on Active Matter and Statistical Physics at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany
Complex Systems Studies
#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
Also #Postdoc Researcher positions (m/f/d) | Active Matter and Statistical Physics
https://www.ds.mpg.de/4068189/job_full_offer_23470819
https://www.ds.mpg.de/4068189/job_full_offer_23470819
Max-Planck-Gesellschaft
Postdoctoral Researcher positions (m/f/d) | Active Matter and Statistical Physics
Living Matter Physics, Post-doctoral Researcher positions
#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
Application deadline November 22.
https://santafe.edu/about/jobs/postdoc-ai-modeling
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
https://www.nature.com/articles/s41586-019-0941-9
Nature
Large teams develop and small teams disrupt science and technology
Nature - Analyses of the output produced by large versus small teams of researchers and innovators demonstrate that their work differs systematically in the extent to which it disrupts or develops...
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
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
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/
https://www.sandsynligvis.dk/2024/10/01/hvor-let-er-det-at-skjule-sig-i-m%C3%A6ngden/
sandsynligvis.dk
Hvor let er det at skjule sig i mængden?
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
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
#postdoc researcher to join the Inverse Complexity Lab at IT:U, Linz, Austria.
https://skewed.de/lab/call.html
Deadline is 30 Nov 2024.
https://skewed.de/lab/call.html
Deadline is 30 Nov 2024.
Large language models and transformers: perspectives from physics, neuroscience and theory
https://youtu.be/qXEuY6qLISE
https://youtu.be/qXEuY6qLISE
YouTube
On large language models and transformers: perspectives from physics, neuroscience, and theory
Surya Ganguli (Stanford University)
https://simons.berkeley.edu/talks/surya-ganguli-stanford-university-2024-09-05
Special Year on Large Language Models and Transformers: Part 1 Boot Camp
https://simons.berkeley.edu/talks/surya-ganguli-stanford-university-2024-09-05
Special Year on Large Language Models and Transformers: Part 1 Boot Camp
#postdoc at PITT Computational Social Dynamics Lab (PICSO LAB)
https://docs.google.com/forms/d/e/1FAIpQLScMjkriluvf48Jc7YCVvDJhYm90XkNKUzCjjEbeqlvziRFWNQ/viewform
https://docs.google.com/forms/d/e/1FAIpQLScMjkriluvf48Jc7YCVvDJhYm90XkNKUzCjjEbeqlvziRFWNQ/viewform
293 | Doyne Farmer on Chaos, Crashes, and Economic Complexity
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture…
Doyne Farmer on Chaos, Crashes, and Economic Complexity | Sean Carroll's Mindscape Podcast
https://www.preposterousuniverse.com/podcast/2024/10/21/293-doyne-farmer-on-chaos-crashes-and-economic-complexity/
https://www.preposterousuniverse.com/podcast/2024/10/21/293-doyne-farmer-on-chaos-crashes-and-economic-complexity/