ICML 2011 Workshop on Machine Learning for Global Challenges
Workshop URL : https://sites.google.com/site/mlforglobalchallenges
Submission deadline: May 6, 2011
Description and Goals
The world currently faces a number of pressing global challenges. Energy,
Healthcare, Sustainability, Environment, and Education are exemplary areas
where cross-disciplinary research is assembling large teams of people from
around the world to address urgent global concerns. We believe that machine
learning has much to offer as a key component of these cross-disciplinary
efforts. The goals of this workshop are to:
1) Bring together researchers from different areas of machine learning working
on topics that are technically unrelated but can work together to also solve
one or more of the global challenges.
2) Attract experts working in the areas of these global challenges from both
academia and industry who have the domain expertise and access to useful
sources of data and problems but not necessarily the expertise in ML to solve
them effectively.
We are focusing this workshop on several global challenges: Environment,
Healthcare, and challenges for the developing world such as education &
infrastructure. We plan on having multiple sessions. Each session will include
invited talks from domain experts in each field, panel of machine learning and
domain experts, and a poster session. Topics of interest broadly include, but
are not limited to the following:
- Environment: Many of the most pressing global challenges that will
face society in the next century involve the Environment, and Climate Change,
and approaches to these problems often entail work towards Sustainability.
Half of the workshop will be devoted to addressing pressing Environmental
issues, to which Machine Learning is poised to make impactful contributions.
We will accept submissions in related areas, including but not limited to:
Sustainability, Climate Science, Climate Change Impacts, Energy
- Healthcare: Healthcare systems around the world are struggling to
keep up with patient needs, and improve quality of care while reducing costs at
the same time. At the same time, more and more data is being captured around
healthcare processes in the form of Electronic Medical Records (EMR), health
insurance claims, medical imaging databases, disease registries, spontaneous
reporting sites, and clinical trials. As this data gets collected, government
regulations are requiring healthcare providers to not only store it in an
electronic format but also use it in meaningful ways. Using this data in an
effective way to improve quality of care and reduce costs requires the use of
novel machine learning algorithms. We will accept submissions in related areas,
including but not limited to: Meaningful use of healthcare data for improved
patient care, Pattern detection and hypothesis generation from observational
data, Evolutionary and longitudinal patient and disease models, Mining
knowledge from medical imaging data, Medical fraud detection, Bio-surveillance,
Post-market surveillance of medical interventions, Text mining - mining free
text in electronic medical records, Improving Clinical trial management and
design.
- Education, Infrastructure & other challenges for the developing
world: Can machine learning and data mining help improve educational systems
and the process of human learning? Can we build low-cost, efficient platforms
for improving infrastructure in the developing world using insights drawn from
data?
Submissions
We invite upto 4 page submissions for poster presentations at the workshop.
Papers should be prepared in ICML
format<http://www.icml-2011.org/formats/icml2011stylefiles.zip> and submitted
as email attachments to [email protected]<mailto:[email protected]> on or
before May 6, 2011. Acceptance notification will be sent to the authors by May
20, 2011. Papers can be position articles or ongoing work on a global challenge
(for example, environment, healthcare, education, sustainability, energy and
other areas of global concern) and offer to bring machine learning
methodologies to bear on such problems. Please add your names and affiliation
to the submitted paper (our review process is not blind).
Dates
Paper Submission Deadline: May 6, 2011
Paper Acceptance Notification: May 20, 2011
Workshop Date: July 02, 2011
Registration
Please see the ICML 2011 website (http://www.icml-2011.org/) for information on
how to register for the workshop. For questions or comments, please send an
e-mail to [email protected]<mailto:[email protected]>
Organizers:
Arindam Banerjee University of Minnesota
([email protected]<mailto:[email protected]>)
Claire Monteleoni, Columbia University
([email protected]<mailto:[email protected]>)
Rayid Ghani, Accenture, Accenture
([email protected]<mailto:[email protected]>)
Vikas Sindhwani IBM Research ([email protected]<mailto:[email protected]>)
Rayid Ghani
Accenture Technology Labs
www.accenture.com/techlabs/ghani<http://www.accenture.com/techlabs/ghani>
+1-312-693-6653
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