Join EnviTrace for informal conversations about AI in earth sciences and energy, innovation, and the future of Earth sciences — no slides, just coffee or tea and compelling ideas!

We’re launching a new Community Series: Monthly AI Earth Sciences Coffee Hour - a casual, practitioner-focused roundtable for people applying AI and ML in earth sciences and energy, including climate, infrastructure, and the public sector.

The idea is simple: create space for honest conversations about what it really takes to build and deploy AI in complex, regulated, real-world environments.

Most of us spend a lot of time navigating challenges that don’t show up in case studies or conference talks - procurement cycles, governance requirements, data limitations, and the gap between research prototypes and production systems. This series is meant to bring those realities to the surface and let people learn from each other’s experiences.

Each session is a 45-minute virtual coffee chat, hosted by rotating facilitators from the community. The format is intentionally lightweight and conversational, with no formal presentations.

Topics will vary by group, but usually include things like:

• What’s actually making it into production
• Where teams are getting stuck
• How organizations are handling governance, risk, and compliance
• Lessons learned from real deployments

Participants often share tools, vendors, datasets, and evaluation approaches they’ve found useful. Some sessions also spin off into optional follow-up working groups for people interested in collaborating more deeply.

These conversations tend to work best for people who are close to delivery and decision-making, including:

• AI/ML leaders and data executives in earth sciences and energy, including climate, infrastructure, or industrial sectors

• Product owners building AI-powered platforms or decision-support tools

• Program and policy leaders working on AI governance, compliance, or risk

• Researchers moving applied AI projects into operational systems

If you’re responsible for getting AI out of the lab and into real workflows, you’ll probably find the discussions relevant.

We see a lot of interest in applied AI across earth sciences and energy industries, but not many places where people can talk openly about what’s hard, what’s failing, and what’s actually delivering value.

The goal of this series is to build a small, trusted community where practitioners can trade lessons, compare notes, and be candid about the practical side of AI.

Over time, we hope it becomes a space people come to for grounded, experience-based perspectives on AI in earth sciences and energy production.

You can sign up to receive invitations to upcoming sessions, along with occasional updates on our AI work, new products, and future events. We keep emails low-volume and focused on things that are actually useful.

You can also suggest topics you’d like to see discussed in future sessions.

Keep an eye on our LinkedIn, website, and email updates for specific dates and registration information.

Stay tuned for our first gathering! If you'd like to be notified when registration opens, read more and register on the event webpage.