DEADLINE EXTENSION: NESCAI 2010, March 5th
Sameer Singh
5.
The North-Eastern Student Colloquium on Artificial Intelligence is a
fun, low
pressure environment for students to build networks and talk about
research. The conference will take place at UMass, Amherst on April
16-18.
Registration, meals and two nights lodging cost only $50.
As a reminder, previously published/submitted work is welcome. There
is
also a two page short paper option.
We have now confirmed the following three invited speakers:
* Jonathan Chang, Facebook Data Scientist
* Andy Barto, University of Massachusetts, Amherst
* Ron Brachman, Vice President of Yahoo! Labs
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NESCAI 2010
North-Eastern Student Colloquium on Artificial Intelligence
nescai.cs.umass.edu
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CALL FOR PAPERS
The fourth annual North-Eastern Student Colloquium on Artificial
Intelligence (NESCAI) will be hosted at University of Massachusetts
Amherst (Amherst, MA) on April 16-18. Students are encouraged to
submit papers describing new or previously submitted research and
ideas in all areas of AI (see partial list below). The primary author
on each submitted paper must be a student attending a school in the
northeastern United States or eastern Canada. Due to generous
sponsorship, a small $50 registration fee covers conference costs and
two nights of accommodation. The conference website can be found at
http://nescai.cs.umass.edu.
NESCAI is the premier student colloquium on AI, bringing together
students from all areas of Artificial Intelligence research. The
colloquium hosts students from the Northeastern U.S. and Eastern
Canada and aims to foster an exchange of ideas, discussions and
networking. NESCAI is sponsored by the Department of Computer Science
at the University of Massachusetts Amherst, and Yahoo Inc.
Important Dates:
* Paper Submission for Review: 5 March 2010
* Reviewer Responses and Acceptance Decision: 22 March 2010
* Final Revision of Accepted Papers: 5 April 2010
Submission Details: We welcome both full and short papers. All
accepted papers will be presented at a poster session and selected
full papers will be accepted for talks.
FULL PAPERS (8 pages): Appendices may exceed the eight-page limit, but
the reviewers are under no obligation to read any material beyond the
page limit. Full papers may be:
* Research papers presenting previously submitted or novel research in
AI
* Conceptual papers presenting and motivating new ideas and research
directions in AI
* Survey papers summarizing the state of the art in a particular sub-
field of AI
SHORT PAPERS (2 pages): Short papers may be:
* Research abstracts
* Progress reports on ongoing research
All submissions will be peer-reviewed using a double-blind system by
at least two graduate students in the respective areas. We encourage
the resubmission of both previously and currently submitted papers, as
long as this is indicated by the author. We will work with authors to
ensure that copyrights held by other conferences will not be violated
but we do not anticipate any problems, as there will be no formal
publication of NESCAI proceedings.
All papers accepted by NESCAI (including those accepted as oral
presentations) will also be presented as posters during one of the
poster sessions. It is expected that all papers will be accepted for
poster presentation, with only a select few being chosen for talks
(based on peer reviews).
Formatting instructions: Author Guidelines (http://nescai.cs.umass.edu/
guidelines.php)
Questions:
Please contact the program committee:
nesc...@cs.umass.edu
Program Committee:
David Mimno (UMass, co-chair)
Sameer Singh (UMass, co-chair)
Cristian Danescu-Niculescu-Mizil (Cornell)
Kuzman Ganchev (UPenn)
Alexandra Goultiaeva (UToronto)
Rob Hall (CMU)
George Konidaris (UMass)
Yuri Malitsky (Brown)
Christian Muise (UToronto)
Megan Olsen (UMass)
Omar F. Zaidan (JHU)
Haoqi Zhang (Harvard)
Content Areas:
* Agents (game theory, distributed AI, markets, etc.)
* Applications (e.g., computational biology, sensor networks, etc.)
* Approaches drawing from critical orientations and science studies
* Cognitive architectures and modeling
* Constraint satisfaction
* Control Learning
* Game playing and interactive entertainment
* Human-computer interaction
* Information integration
* Knowledge bases and expert systems
* Knowledge representation and reasoning
* Machine learning and data mining
* Natural language processing
* Neural networks
* Planning, scheduling and problem solving
* Robotics
* Search
* Semantic web
* Uncertainty
* Vision and perception
* Other (e.g., art and music, artificial life, philosophical
foundations, mathematical foundations, etc.)