{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T03:26:14Z","timestamp":1782962774925,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,5,8]]},"DOI":"10.1145\/3701716.3717754","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T14:10:32Z","timestamp":1750687832000},"page":"1639-1642","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2743-7718","authenticated-orcid":false,"given":"Lifu","family":"Huang","sequence":"first","affiliation":[{"name":"UC Davis, Davis, California, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3206-8179","authenticated-orcid":false,"given":"Danai","family":"Koutra","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, Ann Arbor, Michigan, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4625-4212","authenticated-orcid":false,"given":"Adithya","family":"Kulkarni","sequence":"additional","affiliation":[{"name":"Virginia Tech, Blacksburg, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6750-202X","authenticated-orcid":false,"given":"Temiloluwa","family":"Prioleau","sequence":"additional","affiliation":[{"name":"Dartmouth College, Hanover, New Hampshire, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0659-2444","authenticated-orcid":false,"given":"Qingyun","family":"Wu","sequence":"additional","affiliation":[{"name":"Pennsylvania State University, University Park, Pennsylvania, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3776-4293","authenticated-orcid":false,"given":"Yujun","family":"Yan","sequence":"additional","affiliation":[{"name":"Dartmouth College, Hanover, New Hampshire, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9908-5531","authenticated-orcid":false,"given":"Yaoqing","family":"Yang","sequence":"additional","affiliation":[{"name":"Dartmouth College, Hanover, New Hampshire, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8880-4764","authenticated-orcid":false,"given":"James","family":"Zou","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, California, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7065-2990","authenticated-orcid":false,"given":"Dawei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Virginia Tech, Blacksburg, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3613905.3636301"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/ph16060891"},{"key":"e_1_3_2_1_3_1","unstructured":"Andres M Bran Sam Cox and et al. 2023. ChemCrow: Augmenting large-language models with chemistry tools. arXiv preprint arXiv:2304.05376 (2023)."},{"key":"e_1_3_2_1_4_1","first-page":"10830","article-title":"AI in public health: modelling disease spread and management strategies","volume":"20","author":"Chintala Sathish Kumar","year":"2022","unstructured":"Sathish Kumar Chintala. 2022. AI in public health: modelling disease spread and management strategies. NeuroQuantology 20, 8 (2022), 10830.","journal-title":"NeuroQuantology"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-37236-y"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2022.3141105"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Alhussein Fawzi Matej Balog et al. 2022. Discovering faster matrix multiplication algorithms with reinforcement learning. Nature 610 7930 (2022) 47--53.","DOI":"10.1038\/s41586-022-05172-4"},{"key":"e_1_3_2_1_8_1","unstructured":"Raymond Fok and Daniel S Weld. 2023. In search of verifiability: Explanations rarely enable complementary performance in AI-advised decision making. AI Magazine (2023)."},{"key":"e_1_3_2_1_9_1","volume-title":"SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning. arXiv preprint arXiv:2409.05556","author":"Ghafarollahi Alireza","year":"2024","unstructured":"Alireza Ghafarollahi and Markus J Buehler. 2024. SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning. arXiv preprint arXiv:2409.05556 (2024)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/info14120665"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/1751-7915.14222"},{"key":"e_1_3_2_1_12_1","unstructured":"Kaixuan Huang Yuanhao Qu et al. 2024. Crispr-GPT: An LLM agent for automated design of gene-editing experiments. arXiv preprint arXiv:2404.18021 (2024)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"John Jumper Richard Evans et al. 2021. Highly accurate protein structure prediction with AlphaFold. nature 596 7873 (2021) 583--589.","DOI":"10.1038\/s41586-021-03819-2"},{"key":"e_1_3_2_1_14_1","volume-title":"Jakob Foerster, Jeff Clune, and David Ha.","author":"Lu Chris","year":"2024","unstructured":"Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha. 2024. The ai scientist: Towards fully automated open-ended scientific discovery. arXiv preprint arXiv:2408.06292 (2024)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.commatsci.2024.112793"},{"key":"e_1_3_2_1_16_1","unstructured":"Aditya Paul et al. 2024. AgentPeerTalk: Empowering Students through AgenticAI-Driven Discernment of Bullying and Joking in Peer Interactions in Schools. arXiv:2408.01459 [cs.CY] https:\/\/arxiv.org\/abs\/2408.01459"},{"key":"e_1_3_2_1_17_1","unstructured":"Henri Poincar\u00e9. 2022. The foundations of science: Science and hypothesis the value of science science and method. DigiCat."},{"key":"e_1_3_2_1_18_1","volume-title":"Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions. arXiv preprint arXiv:2408.15787","author":"Qiu Huachuan","year":"2024","unstructured":"Huachuan Qiu and Zhenzhong Lan. 2024. Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions. arXiv preprint arXiv:2408.15787 (2024)."},{"key":"e_1_3_2_1_19_1","unstructured":"Antonin Sulc et al. 2024. Towards Agentic AI on Particle Accelerators. arXiv:2409.06336 [physics.acc-ph] https:\/\/arxiv.org\/abs\/2409.06336"},{"key":"e_1_3_2_1_20_1","unstructured":"Jules White. 2024. Building Living Software Systems with Generative & Agentic AI. arXiv:2408.01768 [cs.SE] https:\/\/arxiv.org\/abs\/2408.01768"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2024.1438030"}],"event":{"name":"WWW '25: The ACM Web Conference 2025","location":"Sydney NSW Australia","acronym":"WWW '25","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Companion Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3701716.3717754","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T18:24:13Z","timestamp":1759861453000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3717754"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,8]]},"references-count":21,"alternative-id":["10.1145\/3701716.3717754","10.1145\/3701716"],"URL":"https:\/\/doi.org\/10.1145\/3701716.3717754","relation":{},"subject":[],"published":{"date-parts":[[2025,5,8]]},"assertion":[{"value":"2025-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}