The Machine Learning for Polar Regions Workshop will start with presentations from climate and machine learning experts on current trends in each field, together and separately. The talks will be followed by a summary and a discussion of current projects that are pioneering the use of machine learning over polar regions. Posters will be presented in the evening and participants will be able to submit their work using the registration link (no later than May 31st). The Steering committee will select the work that will be presented during the Workshop and will notify the participants by June 4th. Submissions that already include both the polar and machine learning aspects will be given priority for presentation and are strongly encouraged. However, papers and work focusing also on a single aspect of the polar or machine learning disciplines (i.e. Generative Adversarial Networks, Deep CNNs in the case of ML or sea ice, Greenland and Antarctica mass loss and contribution of polar regions to sea level rise) are encouraged and welcome. Afterwards, participants will be broken down into working groups that will focus on the three following questions:
- What are the current mechanisms impeding or facilitating collaboration among disciplines?
- What are the mechanisms leading to the success of cross-disciplinary work?
- What are the current funding or collaborative opportunities for this area?
The outcome of the workshop will be a report containing a review of cutting edge applications, literature on machine learning and polar regions, current mechanisms that can support the success for cross-disciplinary collaboration, and funding opportunities for both the climate and machine learning realms.
Important Dates
- 31 May: Deadline for participants to submit work for presentations.
- 4 June: Steering Committee informs participants if work has been selected to present.