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      International Joint Conference on Artificial Intelligence

		      Research Excellence Award

			   Reference Form
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Please type information on this form, or use your own form with
information in the same order.  The answer to Question 3 is limited to
2000 words. Submissions should be in plain text (ASCII) or in PDF
only, and conform to the length requirements.  Please email the
completed forms, by 1st November,2002, to Michael Georgeff, IJCAI Awards 
Chair, at mgeorgeff@georgeff.com (Phone: (415) 806 2121).

The information on this form is privileged.  Neither the candidate nor
the nominator will be informed of the views you express.

1. Reference's Name and Location (first, middle, last, address,
telephone, fax, email address and home page, if possible)

2. Candidate Name

3. The IJCAI Award for Research Excellence is given to a scientist who
has carried out a program of research of consistently high quality
yielding several substantial results.  If the research program has
been carried out collaboratively, the Award may be made jointly to the
research team.

Please describe, in 2000 words or less, the accomplishments of the
candidate(s) that, in your opinion, qualify him/her/them for the IJCAI
Research Excellence Award.  Answers to the following questions will
assist in the evaluation process:

-- Which specific accomplishments made by the candidate(s) merit
the Award?

-- Where does the candidate(s) stand in comparison to other recognized
leaders in the field of Artificial Intelligence?

-- What impacts have the contributions of the candidate(s) had on other
fields (computer science, cognitive science, etc), or on society?

-- If the nomination is for a single candidate, and some of the
candidate's contributions involved a team effort, what specifically
were the candidate's contributions?


SUGGESTIONS TO AUTHORS OF NOMINATION AND REFERENCE LETTERS

The awards committee is looking for evidence that the nominees have 
generated some of the most important and influential work in the field.  
Effective reference letters will therefore emphasize what the nominees have 
done and why it matters, in a way that is accessible to researchers from 
all areas of AI. Reference letters from researchers who are relatively 
independent of the nominee (i.e.  not thesis advisors, students, coauthors, 
or colleagues from the same institution) carry most weight, as do letters 
that do not merely repeat the content of the nomination letter.  The 
specificity of reference letters is more important than their number.  Full 
CVs are discouraged.