Understanding large-scale cooperation in a nonlinear, interconnected world - Nature Computational Science Large-scale cooperation is characterized by complex interaction patterns with nonlinear outcomes. Deepening our understanding may be critical to addressing real-world collective challenges.

📢In the second opinion piece of our 5-year anniversary Series, @evodynamics.bsky.social discusses the field of collective cooperation and the challenges ahead. www.nature.com/articles/s43... #evosky #cssky

🔓 rdcu.be/e5SIY

I played 5 games today and I got carried through all 5 of them to Silver 3

I tried to drunk drive like renyan and it worked like 4 times

if I had any better aim I would probably get more impact in my matches

I did get a sick 1v2 clutch and a really nice 3k

hi #CSsky

Toward a domain-grounded AI collaborator with SciSciGPT - Nature Computational Science We developed an open-source, prototype AI collaborator for the science of science (SciSci). Through a web-based chat interface, SciSciGPT orchestrates auditable, automated workflows for literature und...

An accompanying Research Briefing for this paper is now available! www.nature.com/articles/s43... #cssky

🔓 rdcu.be/eUVEp

SciSciGPT: advancing human–AI collaboration in the science of science - Nature Computational Science SciSciGPT is an open-source prototype AI collaborator that explores the use of LLM research tools to automate workflows, support diverse analytical approaches and enhance reproducibility in the domain...

📢Out now! @dashunwang.bsky.social and colleagues introduce SciSciGPT, a prototype AI collaborator for the domain of science of science that streamlines a wide range of empirical and analytical research tasks. www.nature.com/articles/s43... #cssky

📢Research Highlights out today! We highlight work by @walter4c.bsky.social, @matteocinelli.bsky.social, and colleagues on how LLMs generate judgments about reliability and political bias, and how their procedures compare to human evaluation. www.nature.com/articles/s43... #cssky

A computational science perspective on the legal system - Nature Computational Science A recent study highlights how data changes not only how we can assess the performance of legal firms in the US, but more broadly how computational science is expanding beyond its traditional scope and...

An accompanying News & Views by Aurelia Tamò-Larrieux and colleagues is also available! www.nature.com/articles/s43... @fdca-unil.bsky.social @unisg.ch #cssky #MLSky

🔓 rdcu.be/eNIp5

Data-driven law firm rankings to reduce information asymmetry in legal disputes - Nature Computational Science This study introduces a data-driven method for ranking law firms based on litigation outcomes, revealing that traditional reputation-based rankings do not reflect legal performance accurately.

Sandro Lera and colleagues introduce a data-driven method for ranking law firms based on litigation outcomes, revealing that traditional reputation-based rankings do not reflect legal performance accurately. www.nature.com/articles/s43... #cssky #MLSky

Weak data nullify bold claims about economic trends in Qing China Recent quantitative studies find steep reductions in Chinese per capita real GDP during 1700–1850, challenging long-standing views of eighteenth-century prosperity. While evidence surrounding likely ...

Did food supply in 18thC China decline dramatically & push down pc income? Tom Rawski questions the strength of existing evidence & recommends an open mind until new sources are investigated. OA in the Asia-Pacific EcHR
📉📈🗃🏺📗 📜 🍎😷 🛟 #history #AcademicSky #demography #polisky #geosky #China #cssky

Arti-‘fickle’ intelligence: using LLMs as a tool for inference in the political and social sciences - Nature Computational Science Large language models are increasingly important in social science research. The authors provide guidance on how best to validate and use these models as rigorous tools to further scientific inference.

In a Perspective, @lpargyle.bsky.social, @ethanbusby.bsky.social and colleagues discuss the challenges and opportunities related to scientific inference with LLMs in the political and social sciences. #cssky #PoliSci

➡️ nature.com/articles/s43...

🔓 rdcu.be/eGwK9

🧵(9/13)

The impact of language models on the humanities and vice versa - Nature Computational Science Many humanists are skeptical of language models and concerned about their effects on universities. However, researchers with a background in the humanities are also actively engaging with artificial intelligence — seeking not only to adopt language models as tools, but to steer them toward a more flexible, contextual representation of written culture.

A Comment from @tedunderwood.me discusses the impact of language models on the humanities, and the mutual development between the two. #cssky #MLSky

➡️ www.nature.com/articles/s43...

🔓 rdcu.be/eHRI1

🧵(7/13)

Urban planning in the era of large language models - Nature Computational Science Large language models remain largely unexplored is the design of cities. In this Perspective, the authors discuss the potential opportunities brought by these models in assisting urban planning.

A Perspective from Yong Li, Paolo Santi, Carlo Ratti, Qi R. Wang and colleagues argues that LLMs hold great potential in addressing some of the complexities of urban planning. #cssky #geosky

➡️ nature.com/articles/s43...

🔓 rdcu.be/eGG26

🧵(6/13)

Urban planning in the era of large language models - Nature Computational Science Large language models remain largely unexplored is the design of cities. In this Perspective, the authors discuss the potential opportunities brought by these models in assisting urban planning.

📢A Perspective from Yong Li, Paolo Santi, Carlo Ratti, Qi R. Wang and colleagues argues that LLMs hold great potential in addressing some of the complexities of urban planning. www.nature.com/articles/s43... #cssky #geosky

🔓https://rdcu.be/eGG26

📢 @lpargyle.bsky.social, @ethanbusby.bsky.social and colleagues discuss in a Perspective the challenges and opportunities related to scientific inference with LLMs in the political and social sciences. www.nature.com/articles/s43... #cssky #PoliSci

🔓https://rdcu.be/eGwK9

Weak data nullify bold claims about economic trends in Qing China Recent quantitative studies find steep reductions in Chinese per capita real GDP during 1700–1850, challenging long-standing views of eighteenth-century prosperity. While evidence surrounding likely ....

Did food supply in 18thC China decline dramatically & push down pc income? Tom Rawski questions the strength of existing evidence & recommends an open mind until new sources are investigated. OA in the Asia-Pacific EcHR
📉📈🗃🏺📗 📜 🍎😷 🛟 #history #AcademicSky #demography #polisky #geosky #China #cssky

New in the Asia-Pacific Economic History Review!
📉📈🗃🏺📗 📜 🍎😷 🛟 #history #AcademicSky #demography #polisky #geosky #sociology #histsci #HistIR #philhist #Indigisky #SkyBack 🐳 #c19 #c18 #cssky

Goodbye, $165,000 Tech Jobs. Student Coders Seek Work at Chipotle.

They told us “Learn to code, land six figures.”

2025 reality: CS grads face 6–7.5% unemployment — double biology & art history.
One grad applied to 5,762 tech jobs. Zero offers. Welcome to the AI job market. www.nytimes.com/2025/08/10/t... #BlueSky #MedSky #CSSky #NewsSky #AI

When disruption endures - Nature Computational Science A new framework disentangles the nature of disruption in science, revealing how rare but persistent breakthroughs shake the foundations of research fields while remaining central to future work.

📢Russell Funk and Xiangting Wu discuss a recent framework that characterizes innovations that both disrupt earlier works and serve as stable foundations for subsequent development. #cssky #NetSci www.nature.com/articles/s43...

🔓https://rdcu.be/en1h4
📄https://rdcu.be/en1iS

The critical role of persistent disruption in advancing science - Nature Computational Science This study introduces a concept of persistent disruption, which marks papers that disrupt previous work but remain undisrupted later, signaling lasting impact. Milestone papers are found to be consist...

📢Shlomo Havlin, An Zeng and colleagues propose a concept, called persistent disruption, that marks papers that disrupt prior work but remain undisrupted later, signaling lasting impact. #cssky #NetSci www.nature.com/articles/s43...

🔓https://rdcu.be/emQys

Gender and racial diversity socialization in science - Nature Computational Science A computational null model is proposed to study the gender and racial diversity-association effects in academia. Researchers’ early training in diverse environments is strongly correlated with nurturi...

📢Out now! Weihua Li, @jenniebrand.bsky.social, @aaronclauset.bsky.social, and colleagues show that researchers’ early training in diverse environments is strongly correlated with nurturing diverse groups in the established period. www.nature.com/articles/s43... #cssky #NetSci

Diversity-aware population modeling - Nature Computational Science We propose a diversity-aware population modeling framework using Bayesian multilevel regression and post-stratification to quantify sociodemographic disparities in cognitive development. Our approach ...

A Research Briefing for this paper is also available! www.nature.com/articles/s43... #neuroskyence #cssky

🔓https://rdcu.be/eejx3

Quantifying associations between socio-spatial factors and cognitive development in the ABCD cohort - Nature Computational Science The study proposes a diversity-aware population modeling framework that can guide targeted strategies in public health, using Bayesian multilevel regression and post-stratification to quantify sociode...

📢New Article out! Nicole Osayande, Danilo Bzdok and colleagues propose a diversity-aware population modeling framework to guide targeted strategies in public health. www.nature.com/articles/s43... @mila-quebec.bsky.social #neuroskyence #cssky

🔓https://rdcu.be/eejxn

Seymour’s Second Neighborhood Conjecture claims that there will always exist a node whose out-degree doubles in the square of an oriented graph...This sequence proves the non-existence of counterexamples to the SSNC and precisely identifies the required node.
#mathsky #cssky #graphtheory

X-posing Free Speech: Examining the Impact of Moderation Relaxation on Online Social Networks We investigate the impact of free speech and the relaxation of moderation on online social media platforms using Elon Musk's takeover of Twitter as a case study. By curating a dataset of over 10 milli...

Our findings reveal a significant increase in the distribution of certain forms of hate content, particularly targeting the LGBTQ+ community and liberals.

#mathsky #cssky

We find that hate speech rose dramatically upon Musk purchasing Twitter and the prevalence of most types of bots increased, while the prevalence of astroturf bots decreased.
#mathsky #cssky

Unsupervised detection of coordinated fake-follower campaigns on social media Automated social media accounts, known as bots, are increasingly recognized as key tools for manipulative online activities. These activities can stem from coordination among several accounts and thes...

Through the analysis of a large number of accounts on the Twitter platform (rebranded as X after the acquisition of Elon Musk), we demonstrated that irregular following patterns are prevalent and are indicative of automated fake accounts. #mathsky #cssky

Learn more about #CompSky #ComputerSkyence #cssky and check out the chapter here: bit.ly/3PSzXKC ♾️ #MathEd

📉📈🗃🏺📗 📜 😷 🛟 #history #AcademicSky #demography #polisky #geosky #sociology #anthro #histsci #HistIR #philhist #c19 #c18 #cssky @auswhn.bsky.social

Only one week left to submit your abstract:

"Living Among Intelligent Machines: Psychological and Social Consequences of AI Dev."

#HCI #AI #AffectSci #CogSci #CogPsyc #cssky
#LLM #medsky #mentalhealth #MLSky #PhDSky
#PhilTech #psychotherapy

czasopisma.uwm.edu.pl/index.php/pp...

President Biden celebrates science (including computer science/market design) #cssky #econsky #econcs #academicsky
marketdesigner.blogspot.com/2025/01/nati...

📢New pub! Comparing manual coding with different automated object detection methods on #eye-tracking data.

TLDR; Machine learning worked best for all types of objects. Feature-based matching for static objects (image).

🔗https://doi.org/10.1080/19312458.2024.2443396

#attention #commsky #ml #cssky