CFP: NIPS 2013 Workshop on Machine Learning for Sustainability

CFP: NIPS 2013 Workshop on Machine Learning for Sustainability

Posted by Rebecca Martin on Tue, 01/10/2013 - 09:06

Call for Papers

MLSUST 2013: NIPS 2013 Workshop on Machine Learning for Sustainability Lake Tahoe, Nevada, United States

Important dates:

Submission deadline: October 9th, 2013
Author notification: October 23rd, 2013
Workshop date: December 10th, 2013

Sustainability encompasses the balance of environmental, economic and societal demands. There is strong evidence suggesting that more actions need to be taken in order to achieve this balance. For example, a 2012 review in Nature has stated that, similarly to localized ecological systems, "the global ecosystem as a whole can react in the same way and is approaching a planetary-scale critical transition as a result of human influence".

While the significance of the problem is apparent, more involvement from the machine learning community in sustainability problems is required. Not surprisingly, sustainability problems bring along interesting challenges and opportunities for machine learning in terms of complexity, scalability and impact in areas such as prediction, modeling and control. This workshop aims at bringing together scientists in machine learning, operations research, applied mathematics and statistics with a strong interest in sustainability to discuss how to use existing techniques and how to develop novel methods in order to address such challenges.

We welcome the submission of papers related to machine learning for sustainability problems. There are many application areas in sustainability where machine learning can have a significant impact. For example:

* Climate change
* Conservation and biodiversity
* Socio-economic systems
* Understanding energy consumption
* Renewable energy
* Impact of mining
* Sustainability in the developing world
* Managing the power grid
* Biofuels

Similarly, machine learning approaches to sustainability problems can be drawn from several fields such as:
* Constraint optimization
* Dynamical systems
* Spatio-temporal modeling
* Probabilistic inference
* Sensing and monitoring
* Decision making under uncertainty
* Stochastic optimization

There will be an award of around $250 book voucher for the best contribution, which will be given an oral presentation.

Invited Speakers
The following is a tentative list of speakers. Most speakers have confirmed their attendance:

* Dan Sheldon, University of Massachusetts Amherst
* Carla Gomes, Cornell University
* Hugo Simao, Princeton University
* Iadine Chades, CSIRO
* Zico Kolter, Carnegie Mellon University
* Bistra Dilkina, Assistant Professor, Georgia Tech
* John Quinn, Makerere University


Submitted papers should be in NIPS 2013 format with a maximum of 4 pages (not including references). Please email your submission

Workshop Organizers
Edwin Bonilla, NICTA and ANU
Tom Dietterich, Oregon State University
Andreas Krause, ETH Zurich
Theodoros Damoulas, NYU CUSP and NYU-Poly