


Mark Your Calendars!
Climate, Energy and AI Convergence Café
April 3rd, 2025
10:00am – 2:00pm
Rutgers Club, Room ABC
Artificial Intelligence (AI) – the development of smart systems and machines that are task-oriented, is inextricably linked to our modern, everyday lives. As technology advances and more software and data become open-source, AI and Machine Learning (ML), a subset of AI that enables machines to improve over time, become more accurate at tasks such as object detection, pattern recognition or making predictions based on data.
RCEI aims to direct Rutgers scholarship toward the emerging global emphasis on harnessing the power of AI and ML tools to address challenges within the climate and energy space. Common uses of AI/ML involve data processing, object classification, and process optimization/automation, all of which are critical for research within the four RCEI Focus Areas (Earth System Science; Renewable Energy, Technology and Energy Conservation; Human Dimensions of Climate Mitigation, Adaptation, and Resilience; and Climate Change Communication and Environmental Humanities).
This Convergence Café looks to bring together RCEI affiliate scholars and other full-time Rutgers faculty and staff (or a representative from their lab) to mobilize interdisciplinary teams focused on the intersection of AI/ML and the RCEI Focus Areas.
This event is for you if you are:
- Interested in learning how other Rutgers scholars incorporate AI/ML into their work.
- Searching for a collaborator to team with for research funding.
- Looking to increase your chances of success within highly competitive programs.
- In need of planning funds to get your project off the ground.
This Convergence Café will consist of plenary talks, lightning talks associated with common methodology themes (data processing, pattern recognition, process optimization/automation, object detection/classification, projection/prediction models), and networking sessions centered on broad themes within the nexus of Climate, Energy and AI. See agenda here.
Registration Deadline is March 30 at 11:59 PM.
Please register again even if you previously signed up for the February event.