2025 AI in Science and Engineering Symposium

Overview

Artificial Intelligence (AI) is transforming every aspect of our lives and our society, including academic research. The recent emergence of powerful AI systems such as Generative AI signifies the enormous potential of AI to accelerate research, “mass produce” human knowledge, and enable humans to address research questions and engineering challenges that were previously unfathomable. Meanwhile, such potential is still largely speculative and initial successes are still limited in scope. Massive adoption of AI in research will be possible only when we can address a multitude of technical and ethical issues as well as ensure infrastructure and skill building. In this symposium, we bring together some of the best minds worldwide to share their vision and work in five themes.

1. Speeding up science and engineering research

2. Expanding the limit of the Human Scientist

3. Global collaboration for AI in Science and Engineering

4. Trusting the AI Scientist

5. The nature of creativity in science and engineering

The intended audience are researchers and trainees regardless of the specific fields of their research and the focus of their intellectual pursuit, as well as the general public who are curious about AI and its impact on science and humanity. 

Each theme will feature a keynote address along with several “AI Journey” presentations.

What “AI journeys” presentations are. “AI for domain research” is a prominent topic that has caught the attention of many academic researchers. However, this is still just an idea for most domain researchers; their initial effort to explore this idea faces many challenges. At the same time, we also need to explore how this idea is transforming how we do research and the role of human researchers, so that this idea will lead us not only to better and faster research, but also more creativity and fulfillment of human researchers. “AI journeys” are research stories that will help the campus research community learn how to develop and implement research ideas with AI in a wide range of domain research.