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Remote talks - AI for Earth Sciences workshop at ICLR 2020

Dear All

We are allowing selected remote talks at this year's AI for Earth Sciences workshop at ICLR 2020 in Addis Ababa, Ethiopia and extending the paper deadline to 14th, so everyone please submit your papers/datasets/abstracts!

This is due to a combination of concerns expressed with clashes also involving committee members related to the NOAA AI workshop in the US, European Geosciences Union (EGU) annual meeting, travel restrictions out of China with the coronavirus, and other conditions that prevent individuals from long-distance travel. We hope this will make the workshop more accessible to everyone. One reason ICLR was moved to Africa in 2020 is to circumvent travel issues for some regions associated with visa restrictions in North America, so we hope this change is in line with a similar spirit to make the workshop more accessible/diverse.

Also, the full-paper/dataset track deadline is being extended from 7th to 14th Feb. This is both to make room for the selective remote talks and reduce any confusion around the dual deadlines earlier with the abstract-only track.

We are trying to secure some travel grants as well. More updates on that soon hopefully.

Kind Regards
Karthik

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AI for Earth Sciences

Earth sciences or geosciences encompasses understanding the physical characteristics of our planet, including its lithosphere, hydrosphere, atmosphere and biosphere, applying all fields of natural and computational sciences. As Earth sciences enters the era of increasing volumes and variety of geo-scientific data from sensors, as well as high performance computing simulations, machine learning methods are poised to augment and in some cases replace traditional methods. Interest in the application of machine learning, deep learning, reinforcement learning, computer vision and robotics to the geosciences is growing rapidly at major Earth science and machine learning conferences.

Our workshop seeks to bring cutting edge geoscientific and planetary challenges to the fore for the machine learning and deep learning communities. We seek machine learning interest from major areas encompassed by Earth sciences which include, atmospheric physics, hydrologic sciences, cryosphere science, oceanography, geology, planetary sciences, space weather, geo-health (i.e. water, land and air pollution), volcanism, seismology and biogeosciences.
!!Latest Updates!!

Seeking Partnerships & Sponsors
We are interested in hearing from philanthropies, companies, governments, entrepreneurs and volunteers interested in supporting AI for Earth Sciences workshop, attendees, datasets, competitions, related research and development activities.

Submissions Due Soon
Paper/dataset track & Abstracts-only track - 14th Feb https://cmt3.research.microsoft.com/AI4ESICLR2020
Topics of Interest

We call for papers demonstrating novel machine learning techniques in remote sensing for meteorology and geosciences, generative Earth system modeling, and transfer learning from geophysics and numerical simulations and uncertainty in Earth science learning representations.

We also seek theoretical developments in interpretable machine learning in meteorology and geoscientific models, hybrid models with Earth science knowledge guided machine learning, representation learning from graphs and manifolds in spatiotemporal models and dimensionality reduction in Earth sciences.

In addition, we seek Earth science applications from vision, robotics and reinforcement learning. New labelled Earth science datasets and visualizations with machine learning is also of particular interest.
Submission Instructions

There are two tracks for workshop submission:

Full Paper submission: 3-6 pages excluding references and supplementary materials. Papers are encouraged to use ICLR Format. We also welcome dataset labeling papers submitted as a 3 page proposal as described in AI4Earth

Abstract-Only submission: 300 word limit (AGU/EGU style abstract)

Submissions may be made on CMT. ICLR workshop registration is necessary for attendance, but one need not attend the entire conference.
Important Dates

21 Jan 2020 - ICLR Registration opens
14 Feb 2020 - Full Paper Deadline
14 Feb 2020 - Abstract-Only Deadline
25 Feb 2020 - Acceptance Notifications
26 April 2020 - Workshop Date

Deadlines are at 11:59 PST (California time) of date listed.
Schedule

This full day workshop will include keynotes, invited talks, regular talks, spotlight talks, selective remote talks for individuals with travel restrictions, and a panel discussion with a mix of keynote speakers and organisers with audience Q/A. Posters will be available throughout the day and in a dedicated viewing session.
Organizing Committee

S. Karthik Mukkavilli, Postdoc at Mila
Aaron Courville, Associate Professor at Mila and Université de Montréal
Kelly Kochanski, PhD Candidate at CU Boulder
Johanna Hansen, PhD Candidate at McGill University
Steering Committee

Vipin Kumar, Chaired Professor at Minnesota in Computer Science and Engineering
Gregory Dudek, Chaired Professor at McGill School of Computer Science
Pierre Gentine, Associate Professor of Earth and Environmental Engineering, Columbia University
Mary C Hill, Professor of Geology at University of Kansas
Trooper Sanders, CEO at Benefits Data Trust
Chad Frischmann, VP & Research Director at Drawdown
Paul D. Miller, aka DJ Spooky
Program Committee

Atalay Ayele (Addis Ababa University)
Auroop Ganguly (Northeastern)
Philippe Tissot (Texas A & M)
Amy McGovern (University of Oklahoma)
David Gagne (NCAR)
Ashley Pilipiszyn (Stanford and OpenAI)
David Meger (McGill)
Karthik Kashinath (Berkeley Lab)
Christiane Jablonowski (University of Michigan)
Daniel Fuka (Virginia Tech)
Julien Brajard (NERSC/Sorbonne University)
Udit Bhatia (IIT Gandhinagar)
Redouane Lguensat (CNES/Universite Grenoble Alpes)
Victor Schmidt (Mila)
Tom Beucler (UC Irvine)
Aven-Satre Meloy (Oxford)
Agnieszka Słowik (Cambridge)
Contact Us

Send inquiries to ai4earthscience[at]gmail[dot]com