[agents] Call for Nominations: The 2023 ACM SIGAI Industry Award for Excellence in Artificial Intelligence

Nicholas Mattei nsmattei at gmail.com
Thu Apr 13 14:18:18 EDT 2023


[Sorry for cross posting, please forward to any that may be interested]

Call for Nominations: The 2023 ACM SIGAI Industry Award for Excellence in
Artificial Intelligence
The ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI)
will be given annually to individuals or teams who have transferred
original academic research into AI applications in recent years in ways
that demonstrate the power of AI techniques via a combination of the
following features: originality of the research novelty and technical
excellence of the approach; importance of AI techniques to the approach;
and actual or predicted societal impact of the application. Awardees
receive a plaque accompanied by a prize of $5,000, and will be recognized
at the International Joint Conference on Artificial Intelligence through an
agreement with the IJCAI Board of Trustees.

After decades of progress in the theory, research and development of AI, AI
applications are increasingly moving into the commercial sector. A great
deal of pioneering application-level work is being done by those
transferring research results into industry—from startups to large
corporations—and this is influencing commerce and the broad public in a
wide variety of ways. This award complements the numerous academic,
best-paper and related awards, in that it focuses on innovators of fielded
AI applications. It is intended especially to recognize those who are not
only active in the academic community, but also playing key roles in AI
commercialization. The award honors these innovators and highlights their
achievements (and thus the benefit of AI techniques) to computing
professionals and the public at large. The award committee will consider
applications that are open-source or proprietary and that may or may not
involve hardware.

Evaluation Criteria: The criteria include the following, but there is no
fixed weighting of them:
* Novelty of application area
* Novelty and technical excellence of the approach
* Importance of AI techniques for the approach
* Actual and predicted societal benefits of the fielded application

Eligibility Criteria: Any individual or team, worldwide, is eligible for
the award.

******************
Nomination Procedure:
******************
One nomination and three endorsements must be submitted. The nomination
must identify the individual or team members, describe their fielded AI
system, and explain how it addresses the award criteria. The nomination
document itself should not be longer than 4000 words (10 pages) including
all tables, references, and figures. The nomination may include additional
links, however, these links will not be reviewed but may be examined by the
committee.

The nomination must be written by a member of ACM SIGAI. Two of the
endorsements must be from members of ACM or ACM SIGAI. Endorsements are
intended to be brief statements of support (typically 1-2 paragraphs and
should not exceed 1000 words) that provide additional perspective on the
nomination itself.

If you are not a member of ACM SIGAI, please join here:
https://sigai.acm.org/main/

Please submit the nomination and endorsements through our Google form:
https://forms.gle/ASnhR1b18vmtXhoAA <https://forms.gle/FnHMHuzkQ4EbzYp47>

For any questions please contact Craig Boutilier (Award Chair,
cboutilier at google.com) or Nicholas Mattei (SIGAI Vice Chair,
nsmattei at gmail.com).

******************
Timeline:
******************
Nominations Due: May 31, 2023
Award Announcement: June 30, 2023
Award Presentation: Aug 19th - 25th at IJCAI 2023, https://ijcai-23.org/

-- 
*Nicholas Mattei*
Assistant Professor, Tulane University
nsmattei at tulane.edu | www.nickmattei.net
Stanley Thomas Hall | 303C
+1 504 865 5782
Department of Computer Science
Tulane University
6823 St Charles Ave
New Orleans, LA 70118
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.umbc.edu/pipermail/agents/attachments/20230413/29658871/attachment.html>


More information about the agents mailing list