- From: Dr. Sanju Tiwari <sanju.tiwari.2007@gmail.com>
- Date: Wed, 25 Jun 2025 16:19:42 +0530
- To: announcements@ubicomp.org, wi@lists.kit.edu, aixia@aixia.it, public-lod <public-lod@w3.org>, semantic-web@w3.org, agents@cs.umbc.edu
- Cc: "D'Souza, Jennifer" <Jennifer.DSouza@tib.eu>, Daniil Dobriy <daniil.dobriy@wu.ac.at>
- Message-ID: <CAOprRZK54McSj_zS3eACzfoRKD8oO01bdWxUvdKhpzCt2wKJfQ@mail.gmail.com>
Dear All We are glad to share the extended deadline of SymGenAI4Sci <https://sga4s.semantic.foundation/#main> 2025 π *Co-located with SEMANTiCS 2025, Vienna, Austria* π *September 3-5, 2025* π https://sga4s.semantic.foundation/ *Submission Link:* https://easychair.org/conferences/?conf=symgenai4sci2025 The rapid advancement of Generative Artificial Intelligence (GenAI) has revolutionized various fields, including natural language processing, computer vision, and creative industries. Models such as GPT, DALLΒ·E, and others have demonstrated the immense potential of generative AI in creating realistic, coherent, and often groundbreaking outputs across a wide range of domains. However, the application of these generative models to scientific discovery and problem-solving remains an emerging area, filled with opportunities and challenges. π§ Topics of Interest (not limited to): - Symbolic and Generative AI for scientific discovery and innovation - Addressing and mitigating hallucinations and biases in generative AI - Evaluation and validation of generative AI models in science - Metrics and benchmarks for assessing generative AI in scientific applications - Case studies and real-world applications in scientific workflows - Integrating symbolic reasoning with generative AI for scientific inference - Ontologies, schemas, and knowledge graphs for structured scientific AI - Hybrid AI approaches combining generative and symbolic reasoning - Human-in-the-loop methods for enhancing generative AI in science - Open information extraction and knowledge-graph-based approaches - Exploring multi-modal generative models for scientific applications - Deep learning and hybrid generative approaches - Schema-guided generation and structured output modeling for scientific AI - Open-source tools, datasets, and platforms for generative AI in science - Societal impacts and ethical considerations of generative AI in scientific domains - Generative AI in education and outreach for scientific literacy *π Important Dates:* - *Paper Submission Deadline*: June 24, 2025, July 20, 2025 - *Notification of Acceptance*: July 25, 2025, August 3, 2025 - *Workshop Date*: *TBD* - *Submission Link:* https://easychair.org/conferences/?conf=symgenai4sci2025 π Submission Guidelines: We welcome *short papers (up to 6 pages)* and *full papers (up to 12 pages) and demo paper (upto 4 pages)* in *CEUR format*. Submissions will be peer-reviewed and selected for presentation based on relevance, originality, and scientific quality. Join us in Vienna to shape the future of AI for science -- Regards Dr. Sanju Tiwari (CEO & Founder of Shodhguru Research Labs) Professor, Sharda University, Greater Noida, India Research Fellow of ORKG, TIB Hannover, Germany Visiting Researcher, InfAI, Leipzig University, Germany External Expert, University of Lubeck, Germany Visiting Researcher, Vienna University, Austria DAAD Post-Doc-Net AI Fellow General Chair *KGSWC 2020-24, AI4S 2023-24* http://www.kgswc.org <http://www.kgswc.org/indo-american/>/ "Do what you love, Love what you do"
Received on Wednesday, 25 June 2025 10:49:58 UTC