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IMA Special Workshop:
Knowledge and Distributed Intelligence
(KDI)
Opportunities in the Mathematical Sciences
Saturday, March 7, 1998
The National Science Foundation
has just announced a new Foundation-wide activity, Knowledge
and Distributed Intelligence (KDI), that builds on recent
advances in computation and communications to make new thrusts
in three focal areas: New Computational Challenges (NCC), Knowledge
Networking (KN), and Learning and Intelligent Systems (LIS).
Mathematics and statistics are intrinsic to KDI and mathematical
scientists can participate at several levels. However, the proposal
solicitation was posted only in February 1998 and proposals
are due May 8, 1998, with letters of intent by April
1. Given the complexity and interdisciplinary nature of
the solicitation and the short time for preparation of proposals,
the IMA offered a one-day workshop to describe in some detail
to the mathematical sciences community the scientific opportunities
represented by KDI. Similar workshops were hosted by MSRI
(February 27), NISS (March
9), and Rice University (March 2).
The purpose of this workshop was to inform mathematical scientists
about the funding opportunities presented by KDI and, in particular,
the mathematical research areas that are of greatest interest.
Proposal preparation issues and issues of interdisciplinary
collaboration were also addressed. The workshop began with a
40-minute presentation by the NSF Division of Mathematical Sciences
Program Director for KDI, Mike Steuerwalt, on the main issues
of the workshop and was followed by three consecutive sessions
on New Computational Challenges, Knowledge Networking, and Learning
and Intelligent Systems. Each session featured three short talks
by researchers working on projects that are highly relevant
to KDI, followed by a panel discussion. Each panel was composed
of the speakers for the session and appropriate NSF representatives.
Workshop Participant
List
Click on the titles to find abstracts and
links to presentation materials.
| Speaker |
Title of Talk |
Mike Steuerwalt,
National Science Foundation |
Introduction to the KDI Initiative |
| Knowledge Networking
(KN) |
George Cybenko,
Dartmouth |
Mathematical Aspects of Knowledge
Networking |
Kevin McCurley,
IBM Almaden |
Network Security: We have everything
to fear including fear itself |
Jon Kleinberg,
Cornell |
Analysis of Hypermedia |
| Learning & Information
Systems (LIS) |
Allen Tannenbaum,
Univ. of Minnesota |
Problems in Visual Grouping |
Manfred Warmuth
Univ. of California-Santa Cruz |
Simple on-line learning algorithms:
multiplicative versus additive updates |
Neil Gershenfeld,
MIT Media Lab |
Machine Inference |
| New Computational
Challenges (NCC) |
Joe Greene,
Univ. of Illinois-Urbana |
Thin Film Growth Phenomena: Scaling
from Angstroms to Meters, Picoseconds to Hours |
Jon Kettenring,
Bellcore |
Massive Data Sets, Data Mining,
and Cluster Analysis |
Terry Sejnowski,
Salk Institute |
Independent Component Analysis |
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1997-1998
Emerging Applications of Dynamical Systems
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