{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:40:43Z","timestamp":1786120843302,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":85,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T00:00:00Z","timestamp":1786147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"RIE2025 Industry Alignment Fund–Industry Collaboration Projects (IAF-ICP), administered by A*STAR, with support from Alibaba Group and NTU Singapore through the Alibaba–NTU Global e-Sustainability CorpLab (ANGEL)","award":["I2301E0026"],"award-info":[{"award-number":["I2301E0026"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,8,9]]},"DOI":"10.1145\/3770855.3818654","type":"proceedings-article","created":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T01:08:33Z","timestamp":1786064913000},"page":"13178-13185","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["PCA-OS: A Planetary Climate Adaptation Operating System"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5728-9672","authenticated-orcid":false,"given":"Chaoyue","family":"He","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0948-8033","authenticated-orcid":false,"given":"Xin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3171-4001","authenticated-orcid":false,"given":"Di","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1389-5408","authenticated-orcid":false,"given":"Hong","family":"Xu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3646-3456","authenticated-orcid":false,"given":"Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0300-3448","authenticated-orcid":false,"given":"Chunyan","family":"Miao","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2009.ap08746"},{"key":"e_1_3_2_1_2_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al., 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1920490117"},{"key":"e_1_3_2_1_4_1","volume-title":"V1, 1","author":"Ansari Abolfazl Hojjat","year":"2024","unstructured":"Abolfazl Hojjat Ansari, Alfonso Mejia, and Raj Cibin. 2024. Flood teleconnections from levees undermine disaster resilience. npj Natural Hazards, V1, 1 (2024), 2."},{"key":"e_1_3_2_1_5_1","volume-title":"Ebrahim Solgi, and Soran Mansournia.","author":"Aram Farshid","year":"2019","unstructured":"Farshid Aram, Ester Higueras Garc\u00eda, Ebrahim Solgi, and Soran Mansournia. 2019. Urban green space cooling effect in cities. Heliyon, V5, 4 (2019)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Peter M Aronow and Cyrus Samii. 2017. Estimating average causal effects under general interference with application to a social network experiment. (2017).","DOI":"10.1214\/16-AOAS1005"},{"key":"e_1_3_2_1_7_1","volume-title":"V20, 2","author":"Barnett Jon","year":"2010","unstructured":"Jon Barnett and Saffron O'Neill. 2010. Maladaptation. Global Environmental Change, V20, 2 (2010), 211-213."},{"key":"e_1_3_2_1_8_1","volume-title":"Laurent El Ghaoui, and Arkadi Nemirovski","author":"Ben-Tal Aharon","year":"2009","unstructured":"Aharon Ben-Tal, Laurent El Ghaoui, and Arkadi Nemirovski. 2009. Robust Optimization. Princeton University Press."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41558-019-0490-0"},{"key":"e_1_3_2_1_10_1","volume-title":"Max W Callaghan, Neal R Haddaway, Katharine J Mach, Malcolm Araos, Mohammad Aminur Rahman Shah, Mia Wannewitz, et al.","author":"Berrang-Ford Lea","year":"2021","unstructured":"Lea Berrang-Ford, AR Siders, Alexandra Lesnikowski, Alexandra Paige Fischer, Max W Callaghan, Neal R Haddaway, Katharine J Mach, Malcolm Araos, Mohammad Aminur Rahman Shah, Mia Wannewitz, et al., 2021. A systematic global stocktake of evidence on human adaptation to climate change. Nature climate change, V11, 11 (2021), 989-1000."},{"key":"e_1_3_2_1_11_1","volume-title":"V52, 1","author":"Bertsimas Dimitris","year":"2004","unstructured":"Dimitris Bertsimas and Melvyn Sim. 2004. The price of robustness. Operations research, V52, 1 (2004), 35-53."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00113"},{"key":"e_1_3_2_1_13_1","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems V33 (2020) 1877-1901."},{"key":"e_1_3_2_1_14_1","volume-title":"V3, 1","author":"Brullo Tia","year":"2024","unstructured":"Tia Brullo, Jon Barnett, Elissa Waters, and Sarah Boulter. 2024. The enablers of adaptation: A systematic review. NPJ Climate Action, V3, 1 (2024), 40."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2020.12.001"},{"key":"e_1_3_2_1_16_1","article-title":"Double\/debiased machine learning for treatment and structural parameters","volume":"21","author":"Chernozhukov Victor","year":"2018","unstructured":"Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey, and James Robins. 2018. Double\/debiased machine learning for treatment and structural parameters. The Econometrics Journal, V21, 1 (2018).","journal-title":"The Econometrics Journal"},{"key":"e_1_3_2_1_17_1","volume-title":"Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery. Advances in Neural Information Processing Systems, V35","author":"Cong Yezhen","year":"2022","unstructured":"Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David Lobell, and Stefano Ermon. 2022. Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery. Advances in Neural Information Processing Systems, V35 (2022), 197-211."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Drury B Crawley Linda K Lawrie Frederick C Winkelmann Walter F Buhl Y Joe Huang Curtis O Pedersen Richard K Strand Richard J Liesen Daniel E Fisher Michael J Witte et al. 2001. EnergyPlus: creating a new-generation building energy simulation program. Energy and buildings V33 4 (2001) 319-331.","DOI":"10.1016\/S0378-7788(00)00114-6"},{"key":"e_1_3_2_1_19_1","volume-title":"V84, 2","author":"Cutter Susan L","year":"2003","unstructured":"Susan L Cutter, Bryan J Boruff, and WLynn Shirley. 2003. Social Vulnerability to Environmental Hazards. Social Science Quarterly, V84, 2 (2003), 242-261."},{"key":"e_1_3_2_1_20_1","volume-title":"V754","author":"Dang Ruijun","year":"2021","unstructured":"Ruijun Dang, Hong Liao, and Yu Fu. 2021. Quantifying the anthropogenic and meteorological influences on summertime surface ozone in China over 2012-2017. Science of the Total Environment, V754 (2021), 142394."},{"key":"e_1_3_2_1_21_1","volume-title":"V58, 3","author":"Delage Erick","year":"2010","unstructured":"Erick Delage and Yinyu Ye. 2010. Distributionally robust optimization under moment uncertainty with application to data-driven problems. Operations research, V58, 3 (2010), 595-612."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-19-2821-2026"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the 28th International Conference on International Conference on Machine Learning. 1097-1104","author":"Dud\u00edk Miroslav","year":"2011","unstructured":"Miroslav Dud\u00edk, John Langford, and Lihong Li. 2011. Doubly robust policy evaluation and learning. In Proceedings of the 28th International Conference on International Conference on Machine Learning. 1097-1104."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2090236.2090255"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-9-1937-2016"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3319672"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i11.29085"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Shibo Feng Peilin Zhao Liu Liu Pengcheng Wu and Zhiqi Shen. 2025. HDT: hierarchical discrete transformer for multivariate time series forecasting. In Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence and Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence and Fifteenth Symposium on Educational Advances in Artificial Intelligence. 746-754.","DOI":"10.1609\/aaai.v39i1.32057"},{"key":"e_1_3_2_1_29_1","volume-title":"V21, 6","author":"Ford James D","year":"2016","unstructured":"James D Ford and Lea Berrang-Ford. 2016. The 4Cs of adaptation tracking: consistency, comparability, comprehensiveness, coherency. Mitigation and adaptation strategies for global change, V21, 6 (2016), 839-859."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1614023113"},{"key":"e_1_3_2_1_31_1","first-page":"1437","article-title":"A comprehensive survey on safe reinforcement learning","volume":"16","author":"Garc\u00eda Javier","year":"2015","unstructured":"Javier Garc\u00eda and Fernando Fern\u00e1ndez. 2015. A comprehensive survey on safe reinforcement learning. Journal of Machine Learning Research, V16, 1 (2015), 1437-1480.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_32_1","volume-title":"Hanna Wallach, Hal Daum\u00e9 Iii, and Kate Crawford.","author":"Gebru Timnit","year":"2021","unstructured":"Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daum\u00e9 Iii, and Kate Crawford. 2021. Datasheets for datasets. Commun. ACM, V64, 12 (2021), 86-92."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01457"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1596\/32362"},{"key":"e_1_3_2_1_35_1","volume-title":"V23, 2","author":"Haasnoot Marjolijn","year":"2013","unstructured":"Marjolijn Haasnoot, Jan H. Kwakkel, Warren E. Walker, and Judith Ter Maat. 2013. Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world. Global environmental change, V23, 2 (2013), 485-498."},{"key":"e_1_3_2_1_36_1","volume-title":"Openstreetmap: User-generated street maps","author":"Haklay Mordechai","year":"2008","unstructured":"Mordechai Haklay and Patrick Weber. 2008. Openstreetmap: User-generated street maps. IEEE Pervasive computing, V7, 4 (2008), 12-18."},{"key":"e_1_3_2_1_37_1","volume-title":"V3, 9","author":"Hallegatte Stephane","year":"2013","unstructured":"Stephane Hallegatte, Colin Green, Robert J Nicholls, and Jan Corfee-Morlot. 2013. Future flood losses in major coastal cities. Nature climate change, V3, 9 (2013), 802-806."},{"key":"e_1_3_2_1_38_1","volume-title":"V29","author":"Hardt Moritz","year":"2016","unstructured":"Moritz Hardt, Eric Price, and Nati Srebro. 2016. Equality of opportunity in supervised learning. Advances in neural information processing systems, V29 (2016)."},{"key":"e_1_3_2_1_39_1","volume-title":"2026 a. ESGlass: Glass-Box ESG and Sustainability Reports. Preprints","author":"He Chaoyue","year":"2026","unstructured":"Chaoyue He, Xin Zhou, Di Wang, Hong Xu, Wei Liu, and Chunyan Miao. 2026 a. ESGlass: Glass-Box ESG and Sustainability Reports. Preprints (2026)."},{"key":"e_1_3_2_1_40_1","volume-title":"2026 b. Harness Engineering for Language Agents: The Harness Layer as Control, Agency, and Runtime. Preprints","author":"He Chaoyue","year":"2026","unstructured":"Chaoyue He, Xin Zhou, Di Wang, Hong Xu, Wei Liu, and Chunyan Miao. 2026 b. Harness Engineering for Language Agents: The Harness Layer as Control, Agency, and Runtime. Preprints (2026)."},{"key":"e_1_3_2_1_41_1","volume-title":"2026 c. OpenClaw as Language Infrastructure: A Case-Centered Survey of a Public Agent Ecosystem in the Wild. Preprints","author":"He Chaoyue","year":"2026","unstructured":"Chaoyue He, Xin Zhou, Di Wang, Hong Xu, Wei Liu, and Chunyan Miao. 2026 c. OpenClaw as Language Infrastructure: A Case-Centered Survey of a Public Agent Ecosystem in the Wild. Preprints (2026)."},{"key":"e_1_3_2_1_42_1","volume-title":"2026 d. KG4ESG: The ESG Knowledge Graph Atlas. Preprints","author":"He Chaoyue","year":"2026","unstructured":"Chaoyue He, Xin Zhou, Di Wang, Xinjia Yu, Lei Xiao, Langyue Li, Hong Xu, Wei Liu, and Chunyan Miao. 2026 d. KG4ESG: The ESG Knowledge Graph Atlas. Preprints (2026)."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-main.739"},{"key":"e_1_3_2_1_44_1","unstructured":"Chaoyue He Xin Zhou Xinjia Yu Lei Zhang Yan Zhang Yi Wu Lei Xiao Liangyue Li Di Wang Hong Xu et al. 2026 e. SSKG Hub: An Expert-Guided Platform for LLM-Empowered Sustainability Standards Knowledge Graphs. arXiv preprint arXiv:2603.00669 (2026)."},{"key":"e_1_3_2_1_45_1","volume-title":"Julien Nicolas, Carole Peubey, Raluca Radu, Dinand Schepers, et al.","author":"Hersbach Hans","year":"2020","unstructured":"Hans Hersbach, Bill Bell, Paul Berrisford, Shoji Hirahara, Andr\u00e1s Hor\u00e1nyi, Joaqu\u00edn Mu noz-Sabater, Julien Nicolas, Carole Peubey, Raluca Radu, Dinand Schepers, et al., 2020. The ERA5 global reanalysis. Quarterly journal of the royal meteorological society, V146, 730 (2020), 1999-2049."},{"key":"e_1_3_2_1_46_1","volume-title":"V30","author":"Hoffmann J\u00f6rn","year":"2023","unstructured":"J\u00f6rn Hoffmann, Peter Bauer, Irina Sandu, Nils Wedi, Thomas Geenen, and Daniel Thiemert. 2023. Destination Earth-A digital twin in support of climate services. Climate Services, V30 (2023), 100394."},{"key":"e_1_3_2_1_47_1","volume-title":"Claudio Gutierrez, Sabrina Kirrane, Jos\u00e9 Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, et al.","author":"Hogan Aidan","year":"2021","unstructured":"Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard De Melo, Claudio Gutierrez, Sabrina Kirrane, Jos\u00e9 Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, et al., 2021. Knowledge graphs. ACM Computing Surveys (Csur), V54, 4 (2021), 1-37."},{"key":"e_1_3_2_1_48_1","volume-title":"V12, 1","author":"Hsu Angel","year":"2021","unstructured":"Angel Hsu, Glenn Sheriff, Tirthankar Chakraborty, and Diego Manya. 2021. Disproportionate exposure to urban heat island intensity across major US cities. Nature communications, V12, 1 (2021), 2721."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214508000000292"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.5555\/2764565"},{"key":"e_1_3_2_1_51_1","unstructured":"IPCC. 2022. Climate Change 2022: Impacts Adaptation and Vulnerability (AR6 Working Group II) - Summary for Policymakers. https:\/\/www.ipcc.ch\/report\/ar6\/wg2\/chapter\/summary-for-policymakers\/."},{"key":"e_1_3_2_1_52_1","unstructured":"Andrew Jaegle Sebastian Borgeaud Jean-Baptiste Alayrac Carl Doersch Catalin Ionescu David Ding Skanda Koppula Daniel Zoran Andrew Brock Evan Shelhamer et al. 2021. Perceiver io: A general architecture for structured inputs & outputs. arXiv preprint arXiv:2107.14795 (2021)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-main.366"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42254-021-00314-5"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2720168"},{"key":"e_1_3_2_1_56_1","volume-title":"Inherent trade-offs in the fair determination of risk scores. arXiv preprint arXiv:1609.05807","author":"Kleinberg Jon","year":"2016","unstructured":"Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan. 2016. Inherent trade-offs in the fair determination of risk scores. arXiv preprint arXiv:1609.05807 (2016)."},{"key":"e_1_3_2_1_57_1","volume-title":"Geo-bench: Toward foundation models for earth monitoring. Advances in Neural Information Processing Systems, V36","author":"Lacoste Alexandre","year":"2023","unstructured":"Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan Sherwin, Hannah Kerner, Bj\u00f6rn L\u00fctjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, et al., 2023. Geo-bench: Toward foundation models for earth monitoring. Advances in Neural Information Processing Systems, V36 (2023), 51080-51093."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"crossref","unstructured":"Remi Lam Alvaro Sanchez-Gonzalez Matthew Willson Peter Wirnsberger Meire Fortunato Ferran Alet Suman Ravuri Timo Ewalds Zach Eaton-Rosen Weihua Hu et al. 2023. Learning skillful medium-range global weather forecasting. Science V382 6677 (2023) 1416-1421.","DOI":"10.1126\/science.adi2336"},{"key":"e_1_3_2_1_59_1","volume-title":"Bankes","author":"Lempert Robert J.","year":"2003","unstructured":"Robert J. Lempert, Steven W. Popper, and Steven C. Bankes. 2003. Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis. RAND Corporation."},{"key":"e_1_3_2_1_60_1","volume-title":"V20, 2","author":"Lesnikowski Alexandra C","year":"2015","unstructured":"Alexandra C Lesnikowski, James D Ford, Lea Berrang-Ford, Magda Barrera, and Jody Heymann. 2015. How are we adapting to climate change? A global assessment. Mitigation and Adaptation Strategies for Global Change, V20, 2 (2015), 277-293."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1038\/s44284-025-00300-3"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.21105\/joss.02008"},{"key":"e_1_3_2_1_63_1","unstructured":"Microsoft. 2021. A Planetary Computer for a Sustainable Future. https:\/\/planetarycomputer.microsoft.com\/."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1151915"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287596"},{"key":"e_1_3_2_1_66_1","unstructured":"NASA Earthdata. 2025. Harmonized Landsat and Sentinel-2 (HLS). https:\/\/www.earthdata.nasa.gov\/data\/projects\/hls."},{"key":"e_1_3_2_1_67_1","volume-title":"Engineering, and Medicine","author":"National Academies of Sciences","year":"2021","unstructured":"National Academies of Sciences, Engineering, and Medicine. 2021. Reflecting sunlight: Recommendations for solar geoengineering research and research governance."},{"key":"e_1_3_2_1_68_1","unstructured":"Open Geospatial Consortium (OGC). 2025. SpatioTemporal Asset Catalog (STAC) Community Standard (OGC 25-004). https:\/\/docs.ogc.org\/cs\/25-004\/25-004.html."},{"key":"e_1_3_2_1_69_1","volume-title":"Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators. arXiv preprint arXiv:2202.11214","author":"Pathak Jaideep","year":"2022","unstructured":"Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, et al., 2022. Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators. arXiv preprint arXiv:2202.11214 (2022)."},{"key":"e_1_3_2_1_70_1","unstructured":"Judea Pearl. 2009. Causality. Cambridge university press."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2011.169"},{"key":"e_1_3_2_1_72_1","volume-title":"International conference on machine learning. PmLR, 8748-8763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al., 2021. Learning transferable visual models from natural language supervision. In International conference on machine learning. PmLR, 8748-8763."},{"key":"e_1_3_2_1_73_1","volume-title":"Elmar Kriegler, Jae Edmonds, Brian C O'Neill, Shinichiro Fujimori, Nico Bauer, Katherine Calvin, Rob Dellink, Oliver Fricko, et al.","author":"Riahi Keywan","year":"2017","unstructured":"Keywan Riahi, Detlef P Van Vuuren, Elmar Kriegler, Jae Edmonds, Brian C O'Neill, Shinichiro Fujimori, Nico Bauer, Katherine Calvin, Rob Dellink, Oliver Fricko, et al., 2017. The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global environmental change, V42 (2017), 153-168."},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2012.07.003"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1002\/hyp.8426"},{"key":"e_1_3_2_1_76_1","volume-title":"Benedikt Blumenstiel, Rinki Ghosal, Pedro Henrique De Oliveira, Joao Lucas de Sousa Almeida, Rocco Sedona, Yanghui Kang, et al.","author":"Szwarcman Daniela","year":"2025","unstructured":"Daniela Szwarcman, Sujit Roy, Paolo Fraccaro, Orsteinn El\u00ed G\u00edslason, Benedikt Blumenstiel, Rinki Ghosal, Pedro Henrique De Oliveira, Joao Lucas de Sousa Almeida, Rocco Sedona, Yanghui Kang, et al., 2025. Prithvi-eo-2.0: A versatile multi-temporal foundation model for earth observation applications. IEEE Transactions on Geoscience and Remote Sensing (2025)."},{"key":"e_1_3_2_1_77_1","volume-title":"V4, 1","author":"Tatem Andrew J","year":"2017","unstructured":"Andrew J Tatem. 2017. WorldPop, open data for spatial demography. Scientific data, V4, 1 (2017), 170004."},{"key":"e_1_3_2_1_78_1","unstructured":"UN Environment Programme (UNEP). 2024. Adaptation Gap Report 2024: Come Hell and High Water - As Fires and Floods Hit the Poor Hardest it is time for the World to Step up Adaptation Actions. https:\/\/wedocs.unep.org\/items\/b8964bdc-a2f8-4153-96fd-a1e4141bff75."},{"key":"e_1_3_2_1_79_1","volume-title":"V55, 4","author":"VanderZwaag David L","year":"2024","unstructured":"David L VanderZwaag and Abdul Hafez Mahamah. 2024. International governance of marine geoengineering: sketchy seascape, foggy future\u2014an essay in honor of Ted L. McDorman. Ocean Development & International Law, V55, 4 (2024), 624-636."},{"key":"e_1_3_2_1_80_1","volume-title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. 8262-8271","author":"Wachi Akifumi","year":"2024","unstructured":"Akifumi Wachi, Xun Shen, and Yanan Sui. 2024. A survey of constraint formulations in safe reinforcement learning. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. 8262-8271."},{"key":"e_1_3_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1319839"},{"key":"e_1_3_2_1_82_1","volume-title":"V22, 7","author":"Wang Pinya","year":"2022","unstructured":"Pinya Wang, Yang Yang, Huimin Li, Lei Chen, Ruijun Dang, Daokai Xue, Baojie Li, Jianping Tang, L Ruby Leung, and Hong Liao. 2022. North China Plain as a hot spot of ozone pollution exacerbated by extreme high temperatures. Atmospheric Chemistry and Physics, V22, 7 (2022), 4705-4719."},{"key":"e_1_3_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40562-025-00452-z"},{"key":"e_1_3_2_1_84_1","volume-title":"Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects. arXiv preprint arXiv:2604.05546","author":"Zhang Jun","year":"2026","unstructured":"Jun Zhang, Yicheng Ji, Feiyang Ren, Yihang Li, Bowen Zeng, Zonghao Chen, Ke Chen, Lidan Shou, Gang Chen, and Huan Li. 2026. Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects. arXiv preprint arXiv:2604.05546 (2026)."},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746027.3758225"}],"event":{"name":"KDD '26: The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Jeju Island Republic of Korea","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T01:24:57Z","timestamp":1786065897000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3770855.3818654"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,8]]},"references-count":85,"alternative-id":["10.1145\/3770855.3818654","10.1145\/3770855"],"URL":"https:\/\/doi.org\/10.1145\/3770855.3818654","relation":{},"subject":[],"published":{"date-parts":[[2026,8,8]]},"assertion":[{"value":"2026-08-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}