Portable Computers & Interactive Multimedia: A New Paradigm for Interpreting Museum Collections. - James A. Evans; Pat Sterry (Arch. Mus. Informatics, 1999)

Conflicting Biomedical Assumptions for Mathematical Modeling: The Case of Cancer Metastasis. - Anna Divoli; Eneida A. Mendonça; James A. Evans; Andrey Rzhetsky (PLoS Comput. Biol., 2011)

War of Ontology Worlds: Mathematics, Computer Code, or Esperanto? - Andrey Rzhetsky; James A. Evans (PLoS Comput. Biol., 2011)

Benchmarking Ontologies: Bigger or Better? - Lixia Yao; Anna Divoli; Ilya Mayzus; James A. Evans; Andrey Rzhetsky (PLoS Comput. Biol., 2011)

Modeling the spread of community-associated MRSA. - Charles M. Macal; Michael J. North; Nicholson T. Collier; Vanja M. Dukic; Diane S. Lauderdale; Michael Z. David; Robert S. Daum; Philip Shumm; James A. Evans; Jocelyn R. Wilder; Duane T. Wegener (WSC, 2012)

Tradition and Innovation in Scientists' Research Strategies - Jacob G. Foster; Andrey Rzhetsky; James A. Evans (CoRR, 2013)

Quantifying the Impact and Extent of Undocumented Biomedical Synonymy. - David R. Blair; Kanix Wang; Svetlozar Nestorov; James A. Evans; Andrey Rzhetsky (PLoS Comput. Biol., 2014)

Ten Simple (Empirical) Rules for Writing Science. - Cody J. Weinberger; James A. Evans; Stefano Allesina (PLoS Comput. Biol., 2015)

Weaving the fabric of science: Dynamic network models of science's unfolding structure. - Feng Shi 005; Jacob G. Foster; James A. Evans (Soc. Networks, 2015)

Medium range underwater communication development system. - Anton Netchaev; Jordan D. Klein; Clayton R. Thurmer; Brandon Carver; James A. Evans (IEEE SENSORS, 2016)

Full Two-Scale Asymptotic Expansion and Higher-Order Constitutive Laws in the Homogenization of the System of Quasi-static Maxwell Equations. - Kirill D. Cherednichenko; James A. Evans (Multiscale Model. Simul., 2016)

Large Teams Have Developed Science and Technology; Small Teams Have Disrupted It. - Lingfei Wu 002; Dashun Wang; James A. Evans (CoRR, 2017)

Toward Underwater Wireless Telemetry for Inland Waterways using Low Frequency Electromagnetic Communication. - Clayton R. Thurmer; Jordan D. Klein; Anton Netchaev; Richard D. Brown; Steven L. Bunkley; Quincy G. Alexander; James A. Evans (WiSEE, 2018)

Centralized "big science" communities more likely generate non-replicable results. - Valentin Danchev; Andrey Rzhetsky; James A. Evans (CoRR, 2018)

The Geometry of Culture: Analyzing Meaning through Word Embeddings. - Austin C. Kozlowski; Matt Taddy; James A. Evans (CoRR, 2018)

Social Connection Induces Cultural Contraction: Evidence from Hyperbolic Embeddings of Social and Semantic Networks. - Lingfei Wu 002; Linzhuo Li; James A. Evans (CoRR, 2018)

Quantifying dynamics of failure across science, startups, and security. - Yian Yin; Yang Wang; James A. Evans; Dashun Wang (CoRR, 2019)

Too many cooks: Coordinating multi-agent collaboration through inverse planning. - Sarah A. Wu; Rose E. Wang; James A. Evans; Josh Tenenbaum 001; David C. Parkes; Max Kleiman-Weiner (CogSci, 2020)

Social Centralization and Semantic Collapse: Hyperbolic Embeddings of Networks and Text. - Linzhuo Li; Lingfei Wu 002; James Allen Evans (CoRR, 2020)

Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge. - Haizi Yu; Heinrich Taube; James A. Evans; Lav R. Varshney (CoRR, 2020)

Detecting signal from science: The structure of research communities and prior knowledge improves prediction of genetic regulatory experiments. - Alexander V. Belikov; Andrey Rzhetsky; James A. Evans (CoRR, 2020)

Against method: Exploding the boundary between qualitative and quantitative studies of science. - Donghyun Kang; James A. Evans (Quant. Sci. Stud., 2020)

AI-Aided Co-Creation for Wellbeing. - Haizi Yu; James A. Evans; Donna Gallo; Adam Kruse; William M. Patterson; Lav R. Varshney (ICCC, 2021)

Low-skilled Occupations Face the Highest Re-skilling Pressure. - Di Tong; Lingfei Wu 002; James Allen Evans (CoRR, 2021)

Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities. - Zhenyu Han; Fengli Xu; Yong Li 008; Tao Jiang 002; Depeng Jin; Jianhua Lu; James A. Evans (CoRR, 2021)

Novelty, Disruption, and the Evolution of Scientific Impact. - Yiling Lin; James Allen Evans; Lingfei Wu 002 (CoRR, 2021)

Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity. - Lin Chen 002; Fengli Xu; Zhenyu Han; Kun Tang; Pan Hui 001; James A. Evans; Yong Li 008 (CoRR, 2021)

Human Languages with Greater Information Density Increase Communication Speed, but Decrease Conversation Breadth. - Pedro Aceves; James A. Evans (CoRR, 2021)

Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. - Sarah A. Wu; Rose E. Wang; James A. Evans; Joshua B. Tenenbaum; David C. Parkes; Max Kleiman-Weiner (Top. Cogn. Sci., 2021)

Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration. - Rose E. Wang; Sarah A. Wu; James A. Evans; David C. Parkes; Joshua B. Tenenbaum; Max Kleiman-Weiner (Human-Like Machine Intelligence, 2022)

Flat Teams Drive Scientific Innovation. - Fengli Xu; Lingfei Wu 002; James A. Evans (CoRR, 2022)

Learning from One and Only One Shot. - Haizi Yu; Igor Mineyev; Lav R. Varshney; James A. Evans (CoRR, 2022)

Aging Scientists and Slowed Advance. - Haochuan Cui; Lingfei Wu 002; James A. Evans (CoRR, 2022)

Quantifying hierarchy in scientific teams. - Fengli Xu; Lingfei Wu 002; James A. Evans (CoRR, 2022)

New directions in science emerge from disconnection and discord. - Yiling Lin; James A. Evans; Lingfei Wu 002 (J. Informetrics, 2022)

Prediction of robust scientific facts from literature. - Alexander V. Belikov; Andrey Rzhetsky; James A. Evans (Nat. Mach. Intell., 2022)

In her Shoes: Gendered Labelling in Crowdsourced Safety Perceptions Data from India. - Nandana Sengupta; Ashwini Vaidya; James A. Evans (FAccT, 2023)

Disrupted Routines Anticipate Musical Exploration. - Khwan Kim; Noah Askin; James A. Evans (CoRR, 2023)

Limited Diffusion of Scientific Knowledge Forecasts Collapse. - Donghyun Kang; Robert S. Danziger; Jalees Rehman; James A. Evans (CoRR, 2023)

China and the U.S. produce more impactful AI research when collaborating together. - Bedoor K. AlShebli; Shahan Ali Memon; James A. Evans; Talal Rahwan (CoRR, 2023)

The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. - Hector Zenil; Jesper Tegnér; Felipe S. Abrahão; Alexander Lavin; Vipin Kumar 001; Jeremy G. Frey; Adrian Weller; Larisa N. Soldatova; Alan R. Bundy; Nicholas R. Jennings; Koichi Takahashi; Lawrence Hunter; et al. (CoRR, 2023)

Information Lattice Learning. - Haizi Yu; James A. Evans; Lav R. Varshney (J. Artif. Intell. Res., 2023)

The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. - Gengjie Jia; Yu Li 006; Xue Zhong; Kanix Wang; Milton Pividori; Rabab Alomairy; Aniello Esposito; Hatem Ltaief; Chikashi Terao; Masato Akiyama; Koichi Matsuda; David E. Keyes; et al. (Nat. Comput. Sci., 2023)

Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. - Gengjie Jia; Yu Li 006; Xue Zhong; Kanix Wang; Milton Pividori; Rabab Alomairy; Aniello Esposito; Hatem Ltaief; Chikashi Terao; Masato Akiyama; Koichi Matsuda; David E. Keyes; et al. (Nat. Comput. Sci., 2023)

Does big data serve policy? Not without context. An experiment with in silico social science. - Christopher Graziul; Alexander Belikov 003; Ishanu Chattopadhyay; Ziwen Chen; Hongbo Fang; Anuraag Girdhar; Xiaoshuang Jia; P. M. Krafft; Max Kleiman-Weiner; Candice Lewis; Chen Liang; John Muchovej; et al. (Comput. Math. Organ. Theory, 2023)

In Silico Sociology: Forecasting COVID-19 Polarization with Large Language Models. - Austin C. Kozlowski; Hyunku Kwon; James A. Evans (CoRR, 2024)

AI Expands Scientists' Impact but Contracts Science's Focus. - Qianyue Hao; Fengli Xu; Yong Li 008; James A. Evans (CoRR, 2024)

From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990-2021. - Honglin Bao; Jiawei Zhang; Mingxuan Cao; James A. Evans (WWW (Companion Volume), 2025)

LLM Social Simulations Are a Promising Research Method. - Jacy Reese Anthis; Ryan Liu 001; Sean M. Richardson; Austin C. Kozlowski; Bernard Koch; James A. Evans; Erik Brynjolfsson; Michael S. Bernstein (CoRR, 2025)

Introspective Growth: Automatically Advancing LLM Expertise in Technology Judgment. - Siyang Wu; Honglin Bao; Nadav Kunievsky; James A. Evans (CoRR, 2025)

Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery. - Yanbo Zhang; Sumeer Ahmad Khan; Adnan Mahmud; Huck Yang; Alexander Lavin; Michael Levin 001; Jeremy G. Frey; Jared Dunnmon; James A. Evans; Alan R. Bundy; Saso Dzeroski; Jesper Tegnér; et al. (CoRR, 2025)

Language Models Surface the Unwritten Code of Science and Society. - Honglin Bao; Siyang Wu; Jiwoong Choi; Yingrong Mao; James A. Evans (CoRR, 2025)

Measuring (a Sufficient) World Model in LLMs: A Variance Decomposition Framework. - Nadav Kunievsky; James A. Evans (CoRR, 2025)