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Complex Systems Studies

Complex Systems Studies

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Post #5768 1.11K
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
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Post #5765 2.58K
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
  • 👍 21
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Post #5764 1.39K
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
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...
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Post #5762 1.27K
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
Max-Planck-Gesellschaft Postdoctoral Researcher positions (m/f/d) | Active Matter and Statistical Physics Living Matter Physics, Post-doctoral Researcher positions
Post #5761 1.18K
#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
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
Post #5756 1.68K
#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
lnkd.in LinkedIn This link will take you to a page that’s not on LinkedIn
Post #5755 1.27K
#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
lnkd.in LinkedIn This link will take you to a page that’s not on LinkedIn
  • 👍 1
Post #5754 1.06K

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.

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YouTube علوم اجتماعی محاسباتی چیه؟ آینده‌ش چه جوریه؟ About computational social science
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