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Urban causal research is essential for understanding the complex, dynamic processes that shape cities and for informing evidence-based policies.
The Death and Life of Great American Cities
Jane Jacobs. 1961 · 1961
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The computable city
Michael Batty. 1997 · 1997
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Causalml: Python package for causal machine learning
Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, and Zhenyu Zhao. 2020 · 2002
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Small cities? towards a research agenda
David Bell and Mark Jayne. 2009 · 2009
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The stockholm congestion charges—5 years on. effects, acceptability and lessons learnt
Maria Börjesson, Jonas Eliasson, Muriel B Hugosson, and Karin Brundell-Freij. 2012 · 2012
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Congestion pricing: the political viability of a neoliberal spatial mobility proposal in london, stockholm, and new york city
Themis Chronopoulos. 2012 · 2012
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Causal inference in urban and regional economics
Nathaniel Baum-Snow and Fernando Ferreira. 2015 · 2015
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Causal effect inference with deep latent-variable models
Christos Louizos, Uri Shalit, Joris M Mooij, David Sontag, Richard Zemel, and Max Welling. 2017 · 2017
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Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit, Fredrik D Johansson, and David Sontag. 2017 · 2017
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Attention is all you need
A Vaswani. 2017 · 2017
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al. 2018 · 2018
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EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation
Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Paul Oka, Miruna Oprescu, and Vasilis Syrgkanis. 2019 · 2019
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The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in germany
Daniel F Heuermann and Johannes F Schmieder. 2019 · 2019
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Data integration for smart cities: opportunities and challenges
Subashini Raghavan, Boung Yew Lau Simon, Ying Loong Lee, Wei Lun Tan, and Keh Kim Kee. 2020 · 2019
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Adapting neural networks for the estimation of treatment effects
Claudia Shi, David Blei, and Victor Veitch. 2019 · 2019
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Causal Inference: What If
M.A. Hernan and J.M. Robins. 2020 · 2020
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Dowhy: An end-to-end library for causal inference
Amit Sharma and Emre Kiciman. 2020 · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde De Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021
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Highly accurate protein structure prediction with alphafold
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, et al. 2021 · 2021
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Impact of high-speed rail on road traffic and greenhouse gas emissions
Yatang Lin, Yu Qin, Jing Wu, and Mandi Xu. 2021 · 2021
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A graph neural network framework for causal inference in brain networks
Simon Wein, Wilhelm M Malloni, Ana Maria Tomé, Sebastian M Frank, G-I Henze, Stefan Wüst, Mark W Greenlee, and Elmar W Lang. 2021 · 2021
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Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch. 2022 · 2022
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Covid-19 vaccination mandates and vaccine uptake
Alexander Karaivanov, Dongwoo Kim, Shih En Lu, and Hitoshi Shigeoka. 2022 · 2022
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Data integration challenges for machine learning in precision medicine
Mireya Martínez-García and Enrique Hernández-Lemus. 2022 · 2022
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Causal inference challenges and new directions for epidemiologic research on the health effects of social policies
Ellicott C Matthay and M Maria Glymour. 2022 · 2022
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Global evidence of expressed sentiment alterations during the covid-19 pandemic
Jianghao Wang, Yichun Fan, Juan Palacios, Yuchen Chai, Nicolas Guetta-Jeanrenaud, Nick Obradovich, Chenghu Zhou, and Siqi Zheng. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
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Promptchainer: Chaining large language model prompts through visual programming
Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, and Carrie J Cai. 2022 · 2022
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The impact of traffic on equality of urban healthcare service accessibility: A case study in wuhan, china
Yutong Xia, Huanfa Chen, Chengchao Zuo, and Nan Zhang. 2022 · 2022
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Least-to-most prompting enables complex reasoning in large language models
Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc Le, et al. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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Autonomous chemical research with large language models
Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes. 2023 · 2023
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Qwen-audio: Advancing universal audio understanding via unified large-scale audio-language models
Yunfei Chu, Jin Xu, Xiaohuan Zhou, Qian Yang, Shiliang Zhang, Zhijie Yan, Chang Zhou, and Jingren Zhou. 2023 · 2023
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Can large language models provide useful feedback on research papers? a large-scale empirical analysis
Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Yi Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Scott Smith, Yian Yin, et al. 2024 · 2024
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How ai processing delays foster creativity: Exploring research question co-creation with an llm-based agent
Yiren Liu, Si Chen, Haocong Cheng, Mengxia Yu, Xiao Ran, Andrew Mo, Yiliu Tang, and Yun Huang. 2024 · 2024
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The ai scientist: Towards fully automated open-ended scientific discovery
Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha. 2024 · 2024
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Automated social science: Language models as scientist and subjects
Benjamin S Manning, Kehang Zhu, and John J Horton. 2024 · 2024
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Urbankgent: A unified large language model agent framework for urban knowledge graph construction
Yansong Ning and Hao Liu. 2024 · 2024
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Vinicius G Goecks and Nicholas R Waytowich. 2023 · 2023
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From images to textual prompts: Zero-shot visual question answering with frozen large language models
Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, and Steven Hoi. 2023 · 2023
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Visual programming: Compositional visual reasoning without training
Tanmay Gupta and Aniruddha Kembhavi. 2023 · 2023
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Chartllama: A multimodal llm for chart understanding and generation
Yucheng Han, Chi Zhang, Xin Chen, Xu Yang, Zhibin Wang, Gang Yu, Bin Fu, and Hanwang Zhang. 2023 · 2023
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Reconciling big data and thick data to advance the new urban science and smart city governance
Andy Hong, Lucy Baker, Rafael Prieto Curiel, James Duminy, Bhawani Buswala, ChengHe Guan, and Divya Ravindranath. 2023 · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al. 2023 · 2023
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Starcoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, et al. 2023 · 2023
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Exploring interactions between socioeconomic context and natural hazards on human population displacement
Michele Ronco, José María Tárraga, Jordi Muñoz, María Piles, Eva Sevillano Marco, Qiang Wang, Maria Teresa Miranda Espinosa, Sylvain Ponserre, and Gustau Camps-Valls. 2023 · 2023
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Toolllm: Facilitating large language models to master 16000+ real-world apis
Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, et al. 2024 · 2024
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Gpqa: A graduate-level google-proof q&a benchmark
David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R Bowman. 2024 · 2024
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Urbanization
Hannah Ritchie, Veronika Samborska, and Max Roser. 2024 · 2024
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Can llms generate novel research ideas? a large-scale human study with 100+ nlp researchers
Chenglei Si, Diyi Yang, and Tatsunori Hashimoto. 2024 · 2024
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Language agents achieve superhuman synthesis of scientific knowledge
Michael D Skarlinski, Sam Cox, Jon M Laurent, James D Braza, Michaela Hinks, Michael J Hammerling, Manvitha Ponnapati, Samuel G Rodriques, and Andrew D White. 2024 · 2024
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The virtual lab: Ai agents design new sars-cov-2 nanobodies with experimental validation
Kyle Swanson, Wesley Wu, Nash L Bulaong, John E Pak, and James Zou. 2024 · 2024
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Graphgpt: Graph instruction tuning for large language models
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, and Chao Huang. 2024 · 2024
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Large language models as urban residents: An llm agent framework for personal mobility generation
Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, and Chuan Xiao. 2024 · 2024
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Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web
Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, and Yuxuan Liang. 2024 · 2024
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Enhancing contextual understanding in large language models through contrastive decoding
Zheng Zhao, Emilio Monti, Jens Lehmann, and Haytham Assem. 2024 · 2024
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Ai-assisted discovery of quantitative and formal models in social science
Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, and Marin Soljačić. 2025 · 2025
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Iclr2022 openreview data
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Foundation models for spatio-temporal data science: A tutorial and survey
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