IMT - AIDingArctic
The first workshop on Artificial Intelligens & Data Science for Arctic
The workshop is scheduled to take place on May 6th.
The world have entered an era when the global artificial intelligence software market is experiencing massive growth. Many ocean science- and maritime industry-oriented applications in Arctic regions can benefit from learning on previous data and from cross-disciplinary expert knowledge.
There are extreme challenges unique to the Arctic, from human activities and impacts in remote Arctic locations to Arctic data acquisition, sharing, and quality. There is a strong need to direct AI applications towards solving Arctic challenges that are important for the world as well as to highlight the ‘black holes’ or knowledge gaps and raise awareness on what does not work, needs improvements, and what needs critical attention in Arctic and other freezing areas.
We invite you all to the virtual talks and discussions series hosted by the Norwegian University of Science and Technology, starting from May 6th. We gather industry, government, academia, and engaged citizens who are willing to share their experiences and to learn across disciplines.
Venue: Virtual event 6th May
Program 6th MAY 2021 (Time Zone - Europe/Oslo)
09:00-11:30 Keynotes & Debates:
Chair: Roger Skjetne, NTNU
09:10: Kimberly C. Mayes, Arctic Research - The importance of AI and Data science, RCN
09:30: Marit Reigstad, Rapid changes in the Arctic Ocean: Key challenges to understand ecosystem responses, UiT
10:00: Keith L. Downing, Artificial Intelligence for the Naturally Curious, NTNU
10:30-11:30: Panel debates "AI and the Arctic Future" - Kimberly C. Mayes, Marit Reigstad, Keith L. Downing, Nick Hughes, Laurent Bertino
12:30-13:30 Mix & Match Pitches:
Chair: Marianne Jansson Bjerkman, Cluster for Applied AI, Smart Innovation Norway
- Marianne Jansson Bjerkman, Cluster Manager, Cluster for Applied AI: "National Cooperation on Applied AI"
- Helge Reikerås, Spoor: "Using AI to Address the Climate and Biodiversity Crisis"
- Anders Martin Moe, Leader, MHTech: "Enabling Autonomous Logistics in the Arctic"
- Valeriya Naumova, Director Simula Consulting: "Machine Learning for Automated Fish Feeding"
- Shayan Dadman, PhD researcher, Dept. of Computer Science and Computational Engineering, UiT: “Challenges and approaches of predictive models for Arctic data”
14:00-16:00 Technical Session: Arctic Applied AI and Data Science:
Chair: Knut V. Høyland, NTNU
14:15 Lars Michael Kristensen Scientific workflows for data processing and acoustic model simulation in the context of the Arctic, HVL
14:30 Anton Korosov, Retrieval of sea ice type from Sentinel-1 SAR data with convolutional neural network, NERSC
14:45 Ole-Magnus Pedersen & Nabil Panchi, Deep learning approaches for ice scene interpretation in close-range optical images: advances and challenges, NTNU-IITKGP
15:00 Julien Brajard, Use of AI and data assimilation to reconstruct a numerical model or part of it, NERSC
15:15 Sindre Markus Fritzner, Predicting Arctic sea ice using machine learning, UiT
Joint discussion, Q&A 30 min
Various Arctic Stakeholders (scientists, engineers, policymakers, start-ups, investors), AI and Data Science Experts are welcome to join us for the chance to discover and share each other’s challenges and knowledge gaps when focused on AI and data science applications in the Arctic and in other freezing areas.
Kimberly C. Mayes
Kimberly C. Mayes is a senior adviser within research and technology development relevant for the offshore petroleum sector in the Research Council of Norway (RCN). Her background is within industrial environmental technology and she worked in the supplier industry before joining the RCN in 2010, where her thematic responsibility covers production, processing and transport in the petroleum sector, including challenges related to operations in the high north.
Professor in Marine Ecology, UiT, Tromsø. Marit is one of the world leading experts in Arctic marine ecology from the Arctic University of Norway. She is specializing in Arctic and subarctic ecosystems, plankton, pelagic-benthic coupling, and ecosystems response to a changing climate.
She is currently leading the Nansen Legacy project -Norway's biggest research project to date, which provides integrated scientific knowledge required for future sustainable management of the environment and marine resources of the Barents Sea and adjacent Arctic Basin.
Marit studying the impact of sea ice and environmental conditions on productivity and pelagic-benthic coupling and has experience from several investigations in the Barents Sea, Arctic Ocean, Fram Strait as well as from investigations along the coasts and in sub-Arctic fjords.
Professor of Artificial Intelligence, NTNU, Trondheim. Keith specializes in Bio-Inspired approaches to Artificial Intelligence, an area at the crossroads of AI, Artificial Life, Computational Neuroscience, and Cognitive Science.
His main interests are in the simulated evolution of neural networks and the view of brains as predictive machines. In 2015 he wrote a book “Intelligence Emerging" published by MIT Press.
Keith teaches two classes at NTNU (AI Programming and Deep Learning) and guest lectures in several of the other AI courses, such as Machine Learning and Cognitive Architectures.
In the past few years, he has given dozens of lectures on AI to the general public and/or researchers in other fields. Keith believes that in order to insure the continued progress of the field, AI researchers must look to biology for principles of natural intelligence and its emergence.
Organizing and steering committee members
Organizing and steering committee members
- Arthur Mason, NTNU
- Ekaterina Kim, NTNU
- Jon Hellevang, GCE Ocean Technology
- Kerstin Bach, NTNU
- Knut Vilhelm Høyland, NTNU/UNIS
- Laurent Bertino, Nansen Environmental and Remote Sensing Center (NERSC)
- María Azucena Gutiérrez González, NTNU
- Marianne Jansson Bjerkman, Cluster for Applied AI, Smart Innovation Norway
- Martin Ludvigsen, NTNU/UNIS
- Nick Hughes, The Norwegian Meteorological Institute (MET)
- Sachin Gaur, Norwegian Artificial Intelligence Research Consortium (NORA)
- Siri Granum Carson, NTNU
- Øyvind Mikkelsen, NTNU/UNIS