The Integrated Science Lab invites you to join the conversation at a Lunch Pitch. Matthias Siewert will talk about using AI for remote sensing of Arctic Ecosystems, Fredrik Ohlsson wants to connect with biologists or physicists about traveling waves, and Fredinah Namatovu wants to discuss responsible AI as a support system.
To encourage cross pollination of ideas between researchers from different disciplines, IceLab hosts interdisciplinary research lunches with the vision of allowing ideas to meet and mate. During the Lunch Pitch Season, the creative lunches take place at KBC (Glasburen) on a Wednesday.
Register to come to the pitch and reserve your lunch by Monday, 23 February at 10am.
IceLab Lunch Pitch registration will open two weeks before the event.
Note! The default lunch option is a vegetarian falafel wrap. You can choose an alternative lunch in a separate form that will be emailed to you once you have registered.
Using AI in Remote Sensing of Arctic Ecosystems
Satellites, airplanes, drones, and other sensors provide images of the Earth. AI and deep learning methods have been used for years to classify this data into land‑cover classes or to predict variables in space.
In my group, we have been working on mapping Arctic soil properties and vegetation for many years, and have collected large amounts of drone data. I will show a number of examples from my work, present some of the image and 3D data that we have, and describe the AI methods that we have used in the past. I am interested in integrating state‑of‑the‑art AI and deep learning methods to analyse this data, or in helping to develop such methods by providing test datasets from a real‑world application.
Interested in: collaboration with experts in AI and deep learning to classify, predict, and analyse image and point‑cloud data.
Do you want travelling waves? I’ve got some!
Using symmetry methods we have constructed generalised reaction-diffusion (RD) models that all have simple physical travelling wave solutions. The class of models include various nonlinear extensions of the standard RD system, featuring e.g. density dependent convection and diffusion. I’m interested to learn about potential applications in biology or physics where travelling waves are observed but challenging to model mathematically.
Interested in: Collaborations
Rethinking Support Systems: Is Responsible AI a Meaningful Ally for Survivors with Disabilities?
Survivors of intimate partner violence with disabilities often face multi-layered barriers to accessing safe, timely, and inclusive support.
We explore whether responsible AI can function as a meaningful ally in enhancing accessibility.
Together with the audience, we critically examine the opportunities, hidden risks and, what responsible use of AI should truly look like in this context.
Interested in: Collaboration with expertise in AI applications—particularly those working on the development and evaluation of digital tools.
KBC Glasburen, near the KBC café. Find your way to the venue (mazemap link)
IceLab Lunch Pitches are made possible through funding from KBC for the venue and from Stress Response Modeling at IceLab for their coordination and the lunches.
