Presented By: Michigan Institute for Data & AI in Society (MIDAS)
2025 AI in Science and Engineering Symposium
The emergence of artificial intelligence (AI) promises an enormous potential to transform academic research to “mass produce” human knowledge and enable humans to address research questions and engineering challenges that were previously unfathomable. However, the massive adoption of AI in research and the assurance of positive societal impact of the output of such research will be possible only when we can address a multitude of technical and ethical issues, ensure infrastructure and skill building, and understand the impact of AI on society’s challenges. Collaboration among researchers and organizations regionally and globally is essential.
In this symposium, we bring together world-class researchers to share their vision and work; share “AI journeys” stories - how University of Michigan researchers have been incorporating AI in their research and the lessons they impart to the audience; and offer sessions for research brainstorming and skill building.
For a full schedule of sessions and speakers, please visit our event page: https://myumi.ch/qVXg2
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.
In this symposium, we bring together world-class researchers to share their vision and work; share “AI journeys” stories - how University of Michigan researchers have been incorporating AI in their research and the lessons they impart to the audience; and offer sessions for research brainstorming and skill building.
For a full schedule of sessions and speakers, please visit our event page: https://myumi.ch/qVXg2
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.
Cost
- Free - U-M employees, students and affiliates | $200 - non U-M affiliated individuals
Co-Sponsored By
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