Aurora Tech Lab is a place for innovation, vision and creativity. Our work crosses multiple dimensions, including cutting-edge technical research using AI tools, climate science, and socio-economic impacts.

Please explore the current projects on the following pages and get in touch if you would like to collaborate!

In an era of unprecedented environmental and social change, data alone is not enough to drive meaningful action. True resilience requires a holistic understanding of our world—one that combines the precision of advanced technology with the lived experiences of regular people. This platform serves as a hub for interdisciplinary research dedicated to decoding the complex relationship between humanity and a shifting climate.

Our Core Themes

• The Human Narrative: We’re documenting the "lived reality" of climate change by interviewing diverse populations across Europe to understand how global shifts manifest in local lives, from the London Underground to Mediterranean gardens.

• The Value-Action Gap: We’re utilizing socio-economic data and machine learning to investigate why people who care about the planet often find it difficult to act, focusing on the financial and structural barriers that influence sustainable behavior.

• Physics-Informed AI: We’re developing "Super-Resolution" weather forecasting tools that embed the fundamental laws of nature into neural networks to predict extreme events and protect regional agricultural resources.

Our Vision: AI for the Common Good

The vision behind this research is to transform abstract environmental theory into actionable intelligence for everyday survival and resilience. By utilizing cutting-edge AI tools we aim to provide people with the data they need to make informed decisions about their homes, their livelihoods, and their futures.

We believe that by understanding the "Value-Action Gap," we can help policymakers design strategies that are sensitive to income inequality, ensuring that the transition to a greener world is accessible to everyone. Simultaneously, by pairing these insights with localized, probabilistic weather forecasting, we are building a framework for mitigation strategies that can protect vulnerable crops, stabilize infrastructure, and reduce the chaos of climate-induced migration.