Climate Science & AI - Understanding Change, Driving Action

In the year 2050, Helen and James awaken to a world reshaped by the forces of climate change. Their story invites us to imagine — and to feel — what the data tells us. Because in truth, we are all time travelers. The question is: What world do we want to arrive in?

From oceans in motion to storms that defy history, this session takes you on a journey through the science and the systems that define our climate reality. We’ll explore the weakening Gulf Stream and AMOC, rising sea levels, and the ripple effects reaching across Europe, North America, and the Arctic.

Tracing a timeline from Katrina to Harvey, Ida, and Ian, we’ll unpack how hotter seas fuel stronger, wetter, and longer-lasting storms — driving up costs for infrastructure, insurance, and communities.

Meanwhile, the Arctic warms four times faster than the global average, unleashing permafrost feedback loops that release methane, threaten built environments, and awaken microbial risks long frozen in time.

Amid these challenges, patterns emerge: cascading disasters, inland-expanding storms, and global economic ripple effects. Yet in this complexity lies opportunity.
Enter AI.

From satellites to seabed sensors, big data meets intelligent models — LSTM networks, random forests, and emerging quantum approaches — uncovering hidden signals in climate systems. AI now powers breakthroughs in carbon cycle modeling, disease spread prediction, and agricultural yield forecasting, driving innovation across industries from steel and plastics to forestry and sustainable infrastructure.

As sectors adapt, smart sensors, real-time analytics, and federated learning redefine how we monitor and mitigate planetary risk.
We close where we began:

> “We are all time travelers — the future is shaped by what we choose today.”

Join us for an inspiring exploration of how data, AI, and human will together can build the resilient world we want to arrive in.