The conference featured seven one-day cross-disciplinary workshops, interleaved with seven invited plenary talks by renowned statisticians, computer scientists, and cognitive scientists. The workshops addressed issues such as: what is the state of the art, what can we do and what is missing? what are promising research directions? what are the most promising opportunities for cross-disciplinary research?

CONALD differed from other meetings in the field in its broad, interdisciplinary scope. The goal of CONALD was to characterize the state-of-the-art in automated learning and discovery, and to identify promising cross-disciplinary research directions. Its format was very much tailored towards open discussions and free exchange of ideas. This meeting has been summarized by a written report, which can be accessed through the Web (see below).

The workshop was partially supported by the National Science Foundation, the Information and Data Management Program of the Information and Intelligent Systems Division, under the grant IIS-9813354. All opinions, findings, conclusions and recommendations in any material resulting from this workshop are those of the workshop participants, and do not necessarily reflect the views of the National Science Foundation.

A summary of the CONALD meeting along with dozens of thesis-sized research topics (and beyond) can be found on 30 pages of CONALD report. Check it out!

• CONALD report, postscript format (137,161 bytes)
• CONALD report, gzipped postscript format (50,825 bytes)
• CONALD report, PDF format (143,275 bytes)

Contact conald@cs.cmu.edu for more information