AI for Engineering and Scientific Discoveries

Description of this AAAI Spring Symposium 2025 (3/31/2025-4/2/2025):

This symposium to be held during 3/31/2025 - 4/2/2025, as part of the AAAI Spring Symposium 2025, aims to advance and diversify the application of AI in emerging engineering and scientific discovery domains. Inspired by progress in large language models, generative AI, and AI-assisted scientific computing, we seek to foster new collaborations between industry and academia to tackle challenging problems in materials, manufacturing, and life sciences. We also plan to explore new directions in human–machine interaction for accelerating knowledge discovery and address related ethical considerations. Through invited speakers, panel discussions, and contributions from researchers with cross-disciplinary expertise, we hope to cultivate partnerships that drive transformative advances in both AI and scientific research. More details on the symposium goals and motivations and pointers to related work are in the proposal that was submitted to AAAI.

The symposium schedule is at the bottom of the page or can be accessed from this link.

Topics

Potential areas include, but are not limited to: 

• Use of AI in engineering and scientific discoveries, especially in materials discovery, and discoveries in manufacturing and life sciences

• New techniques and developments in AI inspired by efforts to use AI for engineering and scientific discoveries

• New understanding of the reducibility of computation on graphs and its use in engineering and scientific discoveries

• New representation learning to assist discoveries from scientific measurements

• New methods for quantifying uncertainties from AI-assisted scientific discoveries

• Autonomous scientific AI agents for evidence seeking, hypothesis proposing, assessment and experimental cost estimation

• Ethical consideration of AI-guided scientific discoveries

• Goal-oriented reinforcement learning and generative AI models for targeted structure generation to achieve desired functionalities

• Out-of-sample and out-of-distribution generation of structured objects in the quest of engineering and scientific discoveries

Format of Symposium

Over two and a half days, the symposium will feature keynote talks by leading researchers from academia, industry, and government agencies; contributed oral presentations and poster sessions; and panel discussions on research frontiers, funding opportunities, and industry needs. We emphasize engaging content throughout the full duration, with interactive sessions designed to maximize discussion, networking, and collaboration.

Attendance

Anyone interested in AI for engineering and scientific discoveries is encouraged to attend. There are no specific invitation criteria; we welcome participants from academia, industry, and government.

Resolving Submission Conflicts

This symposium will only accept submissions that explicitly contribute to usages of AI in discovery in materials science and engineering, manufacturing, and life science domains. Submissions that do not explicitly address challenges within these scientific and engineering domains, but rather those related to Agentic AI applications to scientific discovery in general, or related to other domains, should be submitted to the symposium titled "Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation."

Submission Requirements

Submissions should be in the form of a short paper (max 8 pages including references) or extended abstract (2 pages); both in AAAI 2025 style.  Authors are encouraged to describe relevant research, preliminary results, or innovative concepts that advance AI-assisted scientific and engineering discovery. 

Submission Site Information and Deadline:

Submission link: https://easychair.org/conferences/?conf=sss25 

• Submission Deadline: 2/3/2025 (changed to 2/17/2025)

• Author Notification Deadline: 2/10/2025 (changed to 2/24/2025)

• Camera Ready Copy Deadline: 2/17/2025 (changed to 3/3/2025) (changed to 3/10/2025)

If you would like your paper included in the AAAI Proceedings, please request use of the official AAAI EasyChair site when contacting us.

Symposium Committee

• • Anton Netchaev, US Army ERDC (Co-chair)

  • Chitta Baral, Arizona State University (Co-chair)

  • Lenore Dai, Arizona State University (Co-chair)

  • Yi Ren, Arizona State University (Co-chair)

  • Alvaro Velasquez, DARPA

  • Jianlin Cheng, University of Missouri

  • Muhao Chen, UC Davis

  • Prasad Calyam, University of Missouri

  • Reuben Chacko, Brewer Science

  • Wu-Sheng Shih, Brewer Science

  • 'YZ' Yezhou Yang, Arizona State University

  • Kyle Min, Intel labs

Symposium URLs

This website: https://sites.google.com/view/aaai-ss25-ai4science/home 

AAAI Spring Symposium 2025 Website: https://aaai.org/conference/spring-symposia/sss25/ 

Paper submission site: https://easychair.org/conferences/?conf=sss25 

We look forward to your contributions and to a vibrant, collaborative symposium!

Symposium Schedule: