[DMANET] AAAI-13 SPECIAL TRACK ON COMPUTATIONAL SUSTAINABILITY AND AI

The Twenty-Seventh AAAI Conference on Artificial Intelligence
(AAAI-13) will include a special track on "Computational
Sustainability and AI".

The conference will be held July 14–18, 2013 in Bellevue, Washington, USA.

Deadlines:
January 19, 2013: Electronic abstracts due
January 22, 2013: Electronic papers due

This special track invites the submission of research papers on novel
concepts, models, algorithms, and systems, in order to address
problems in computational sustainability.

The special track also invites the submission of short Data Challenge
papers introducing the AI community to new computational
sustainability problems and datasets.

An AAAI-13 awards subcommittee will identify best papers in this area
and allocate travel awards provided by the Computing Community
Consortium (CCC) to authors of the best papers.

For the full Call for Papers, read below or visit:
http://www.aaai.org/Conferences/AAAI/2013/aaai13csaicall.php


--------------
AAAI-13 SPECIAL TRACK ON COMPUTATIONAL SUSTAINABILITY AND AI

Timetable for Authors:
January 19, 2013: Electronic abstracts due
January 22, 2013: Electronic papers due
March 11 – March 13, 2013: Author feedback about initial reviews
March 26, 2013: Notification of acceptance or rejection
April 9, 2013: Camera-ready copy due at AAAI office

Computational sustainability is a new interdisciplinary field that
aims to apply techniques from computer and information science and
related disciplines (for example, operations research, applied
mathematics, and statistics) to the balancing of environmental,
economic, and societal needs, in order to support sustainable
development and a sustainable future. Research in computational
sustainability is inherently interdisciplinary: It brings together
computational fields and a variety of fields with a long tradition in
the study of sustainability problems, such as environmental sciences,
biology, economics, and sociology. Artificial intelligence (AI), in
particular, can play a key role in addressing challenges in
computational sustainability.

Sustainability domains and areas include the following:

- Natural resources and the environment (for example, atmosphere,
water, oceans, forest, land, soil, biodiversity, species, and so on.)
- Economics and human behavior (for example, human well-being,
poverty, infectious diseases, over-population, resource harvesting,
and so on.)
- Energy resources (for example, renewable energy, smart grid,
material discovery for fuel cell technology, and so on.)
- Human-built systems and land use (for example, transportation
systems, cities, buildings, datacenters, food systems, agriculture,
and so on.)
- Climate (for example, combining the predictions of climate model
ensembles, impact of climate change on land use, data assimilation,
and so on.)

This special track invites the submission of research papers on novel
concepts, models, algorithms, and systems, in order to address
problems in computational sustainability. We are looking for a broad
range of papers ranging from formal analysis to applied research.
Examples include papers explaining how the research addresses specific
computational problems, opportunities, or issues underlying
sustainability challenges and papers describing a sustainability
challenge or application that can be tackled using AI methods. Papers
proposing general challenges and competitions for computational
sustainability are also welcome.

All AI topics that address computational sustainability issues are
relevant. Examples of AI topics include the following:

- Modeling and prediction of dynamic and spatiotemporal phenomena and
systems. Examples include bird migration, invasive species diffusion,
ocean spatial impacts of climate change, and poverty mapping.
- Control and optimization of dynamic and spatiotemporal systems.
Examples include constraint reasoning and optimization, MDPs/POMDPs,
stochastic programming, model-based reasoning, and optimal control of
hybrid dynamical systems for management and control of complex systems
ranging from ecosystems and natural resources, to human-built systems
such as transportation and energy networks, communities, and cities,
to social-economic phenomena.
- Network modeling, prediction, and optimization. Examples include
transportation networks, power grid, food networks, epidemic networks,
and social networks.
- Modeling and control of complex high-dimensional systems by
combining physics-based models, model-based reasoning, optimization
and control methods, and machine learning models built from sensor
data. Examples include global and regional climate models, ecosystems
models, models of operation of office buildings and data centers.
- Modeling the interactions of agents with different and often
conflicting interests: multiagent systems, multiagent equilibrium
models, game theory, and design of effective mechanisms and policies
for the exchange of goods.
- Sensor networks for monitoring environments: data collection,
analysis, synthesis, and inference in large-scale autonomous sensor
networks.
- Support for public engagement and decision making by the public;
collecting, modeling, and presenting relevant information via usable
interfaces; preference elicitation and automated decision making for
power purchases (managing the timing of appliance loads to minimize
cost while maximizing preferences); crowd-sourcing and citizen
science; computer games and intelligent tutoring systems; and models,
methods and tools for dissemination and increasing awareness of
sustainability practices.

Papers will be reviewed by qualified reviewers that are drawn from a
special track committee, in addition to the general program committee.
Submissions to this special track that are deemed not relevant to the
track may be considered for review for the general technical papers
track, at the discretion of the track and conference cochairs.

***** Data Challenge Papers *****
The AAAI-13 Special Track on Computational Sustainability is also
pleased to invite the submission of papers introducing the AI
community to new computational sustainability problems and datasets.
These are short papers (up to three pages) describing a challenge
problem and a corresponding dataset that is made available to the
community. Please indicate that your paper is a Data Challenge paper
by selecting this "Paper Type" at the AAAI-13 Computational
Sustainability and AI paper submission site. Keyword selection should
follow the same model as that for full papers.

***** Computational Sustainability Awards *****
AAAI-13 is joining with the Computing Community Consortium (CCC) to
promote work at the intersection of computing and sustainability on
principles and applications that address environmental, economic, and
societal needs in support of a sustainable future. An AAAI-13 awards
subcommittee will identify best papers in this area and provide travel
awards provided by CCC to authors of the best papers.

Concerning suggestions for the program and other inquiries, write to
the special track cochairs.

Program Cochairs
Carla Gomes (Cornell University, USA)
Doug Fisher (Vanderbilt University, USA)
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************