The 2002 Lectures in Computer Science: The Data Avalanche: Reducing Information Overload


All aspects of society have the blessing and curse of exponentially more information.

At the personal level we are blessed with hundreds of eMails, instant messages, pages and mobile telephone calls each day.

We are always accessible and are always receiving unsolicited input.

Conversely, is the death of privacy. They know where we are and what we are doing online.

At the societal level, every field is drowning in an avalanche of scientific advances -- there are exponentially more scientific papers and scientific data.

We deal with this by becoming more and more specialized so that we can keep current with the ever-growing knowledge in our shrinking field of study.

We need help in limiting and summarizing and prioritizing the information avalanche.

This lecture series brings together scholars from many disciplines to talk about the data filtering, data analysis, data summarization, and data mining techniques that might address this problem and also to discuss some of the broader societal issues associated with the information avalanche.

Jim Gray
Distinguished Engineer, Microsoft Research
Turing Award Recipient (1998)

Panos Constantopoulos Professor,
University of Crete and FORTH
(Mastering meaning and variety as means for surviving data overload and preserving the value of data.)

Stelios Orphanoudakis Professor,
University of Crete and Director of ICS, FORTH
(Medical Information Complexity and Management - Reducing the Overload)

Timos Sellis Professor,
National Technical University of Athens
(Using Data Warehouses and Data Mining to Reduce Information Overload)

Dennis Tsichritzis Professor,
University of Geneva, Senior Vice President of the Fraunhofer-Gesellschaft
(Introducing Knowledge Management in Large Organizations)
Monday 15 July 09:15 - 9:45 R e g i s t r a t i o n
  09:45 - 10:00 Welcome speech
by E.N. Economou
  10:00 - 11:15 "The Data Avalanche : reducing Information Overload (Part I - Part II) " by Jim Gray
  11:15 - 11:30 B r e a k
  11:30 - 12:45 Continued
  12:45 - 13:00 B r e a k
  13:00 - 14:15 continued
Tuesday 16 July 09:30 - 10:45 "Using Data Warehouses and Data Mining to reduce Information Overload" by Timos Sellis
  10:45 - 11:00 B r e a k
  11:00 - 12:15 continued
  12:15 - 12:30 B r e a k
  12:30 - 13:45 continued
Wednesday 17 July 09:30 - 10:45 "Medical Information: Complexity and Management - reducing the Overload" by Stelios Orfanoudakis
  10:45 - 11:00 B r e a k
  11:00 - 12:15 continued
  12:15 - 12:30 B r e a k
  12:30 - 13:45 continued
  20:00 "On Line Sience: The Worldwide Telescope" by Jim Gray
PUBLIC LECTURE
Thursday 18 July 09:30 - 10:45   "Mastering Meaning and Variety as Means for Surviving Data Overload and Preserving the Value of Data" by Panos Constantopoulos
  10:45 - 11:00 B r e a k
  11:00 - 12:15 continued
  12:15 - 12:30 B r e a k
  12:30 - 14:00 continued
Friday 19 July 09:30 - 10:45 "Introducing Knowledge Management in Large Organizations" by Dennis Tsichritzis
  10:45 - 11:00 B r e a k
  11:00 - 12:15 continued
  12:15 - 12:30 B r e a k
  12:30 - 13:45 continued