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Gender inequality in scientific careers has been extensively documented through aggregate measures such as total publications and cumulative citations, yet the temporal dynamics underlying these disparities remain largely unexplored. Here…

Digital Libraries · Computer Science 2025-09-09 Bili Zheng , Chenyi Yang , Jianhua Hou

Understanding the way individuals are interconnected in social networks is of prime significance to predict their collective outcomes. Leveraging a large-scale dataset from a knowledge-sharing website, this paper presents an exploratory…

Social and Information Networks · Computer Science 2022-06-29 Yafei Zhang , Lin Wang , Jonathan J. H. Zhu , Xiaofan Wang , Alex 'Sandy' Pentland

Structural crack detection is a critical task for public safety as it helps in preventing potential structural failures that could endanger lives. Manual detection by inexperienced personnel can be slow, inconsistent, and prone to human…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Subhasis Dasgupta , Jaydip Sen , Tuhina Halder

An original cross sectional dataset referring to a medium sized Italian university is implemented in order to analyze the determinants of scientific research production at individual level. The dataset includes 942 permanent researchers of…

Physics and Society · Physics 2014-07-29 Alberto Baccini , Lucio Barabesi , Martina Cioni , Caterina Pisani

This study offers a new perspective on the depth-versus-breadth debate in innovation strategy, by modeling inventive search within dynamic collective knowledge systems, and underscoring the importance of timing for technological impact.…

Physics and Society · Physics 2026-01-06 Likun Cao , James Evans

This paper quantitatively explores the social and socio-semantic patterns of constitution of academic collaboration teams. To this end, we broadly underline two critical features of social networks of knowledge-based collaboration: first,…

Physics and Society · Physics 2010-05-02 Carla Taramasco , Jean-Philippe Cointet , Camille Roth

Agentic discovery has shown that LLM-driven search can find novel algorithms, designs, and code under benchmark conditions. Translating the paradigm to multi-system data backends surfaces a harder problem: the search space is heterogeneous,…

Artificial Intelligence · Computer Science 2026-05-27 Shanshan Ye , Duo Lu

The ability to anticipate technical expertise and capability evolution trends globally is essential for national and global security, especially in safety-critical domains like nuclear nonproliferation (NN) and rapidly emerging fields like…

Machine Learning · Computer Science 2023-07-20 Sameera Horawalavithana , Ellyn Ayton , Anastasiya Usenko , Robin Cosbey , Svitlana Volkova

Geographically distributed teams often face challenges in coordination and collaboration, lowering their productivity. Understanding the relationship between team dispersion and productivity is critical for supporting such teams. Extensive…

Human-Computer Interaction · Computer Science 2022-08-11 Dakuo Wang , Michael Muller , Qian Yang , Zijun Wang , Ming Tan , Stacy Hobson

In most professional sports, the structure of the environment is kept neutral so that scoring imbalances may be attributed to differences in team skill. It thus remains unknown what impact structural heterogeneities can have on scoring…

Physics and Society · Physics 2013-11-04 Sears Merritt , Aaron Clauset

Scientific collaborations shape ideas as well as innovations and are both the substrate for, and the outcome of, academic careers. Recent studies show that gender inequality is still present in many scientific practices ranging from hiring…

Physics and Society · Physics 2017-11-16 Mohsen Jadidi , Fariba Karimi , Haiko Lietz , Claudia Wagner

There is growing recognition that the network structures arising from interactions between different entities in physical, social and biological systems fundamentally alter the evolutionary outcomes. Previous paradigm exploring evolutionary…

Physics and Society · Physics 2023-08-08 Yao Meng , Sean P. Cornelius , Yang-Yu Liu , Aming Li

Teams now drive most scientific advances, yet the impact of absolute beginners -- authors with no prior publications -- remains understudied. Analyzing over 29 million articles published between 1941 and 2020 across disciplines and team…

Digital Libraries · Computer Science 2026-04-21 Mahdee Mushfique Kamal , Raiyan Abdul Baten

Incorporating fresh members in teams is considered a pathway to team creativity. However, whether freshness improves team performance or not remains unclear, as well as the optimal involvement of fresh members for team performance. This…

Digital Libraries · Computer Science 2022-05-19 Meijun Liu , Ajay Jaiswal , Yi Bu , Chao Min , Sijie Yang , Zhibo Liu , Daniel Daniel Acuña , Ying Ding

Data-driven conceptual design methods and tools aim to inspire human ideation for new design concepts by providing external inspirational stimuli. In prior studies, the stimuli have been limited in terms of coverage, granularity, and…

Social and Information Networks · Computer Science 2022-10-20 Jianxi Luo , Serhad Sarica , Kristin Wood

Existing methods for differentiable structure learning in discrete data typically assume that the data are generated from specific structural equation models. However, these assumptions may not align with the true data-generating process,…

Machine Learning · Computer Science 2025-10-28 Chang Deng , Bryon Aragam

Introduction: Digital products increasingly reshape industries, influencing human behavior and decision-making. However, the software development teams developing these systems often lack diversity, which may lead to designs that overlook…

Scrum teams are at the heart of the Scrum framework. Nevertheless, an integrated and systemic theory that can explain what makes some Scrum teams more effective than others is still missing. To address this gap, we performed a…

Software Engineering · Computer Science 2022-04-28 Christiaan Verwijs , Daniel Russo

Scientists are frequently faced with the important decision to start or terminate a creative partnership. This process can be influenced by strategic motivations, as early career researchers are pursuers, whereas senior researchers are…

Physics and Society · Physics 2015-09-08 Alexander Michael Petersen

Real-world learning tasks often encounter uncertainty due to covariate shift and noisy or inconsistent labels. However, existing robust learning methods merge these effects into a single distributional uncertainty set. In this work, we…

Methodology · Statistics 2026-03-17 Varun Venkatesh , Eyke Hüllermeier , Bernd Bischl , Mina Rezaei