Climate change is affecting extreme weather – we identify how and when society is at risk
Beyond Weather predictability could provide societies with valuable information on weather-related risk, allowing decision-makers to initiate early warning action plans and to optimize resource management. Using Artificial Intelligence (AI), we are developing a rigorous data-driven framework that enables automatic detection of interpretable physical drivers on Beyond Weather timescales. Combining expert knowledge, causal inference and a variety of machine learning techniques, our tool has worked for science. Now we aim for societal impact by making predictions for stakeholders (e.g. NGO’s).
Read also the article at te VU website in the exhibition ‘A better World @ VU’ Artificial Intelligence for Long-term Weather Predictions – Meer over – Vrije Universiteit Amsterdam (vu.nl)
Eye-opening insights Consumers make about 95% of their decisions without conscious awareness. Attention Check objectively maps out their behavior by using biometrics such as eye tracking, skin conductance, and brain activity. In this way we tap into the non-conscious processes that truly underlie human behavior. In addition we run large N (e.g. 1000) online psychological […]
We create Smart Campus Tools. We use sensors and data to improve campus experience for students, while also innovating campus management for the University. We started to develop the PLEQ-app, a study spot finder based on real time occupancy data of study rooms around campus. We want to create the future campus. A campus where […]
Targeting Software sustainability and standardizing serverless functions. We are taking on the rampant lack of standards with regards to serverless computing and aiming to create a simple standard which the entire development community can rally behind. This solution has the benefit of being more energy efficient, so we will help companies reach their sustainability goals.