ANNOUNCEMENT         Presentation Schedule & Abstracts

  We are pleased to announce that this event is the continuation of the biannual series of conferences for the International Society of Ecological Informatics (ISEI). After being held in Toulouse, France (1998), Adelaide, Australia (2000), and Rome, Italy (2002),

  ISEI4 will be held at BEXCO, Busan (Pusan), South Korea on October 24 (Sun) - 28 (Thr), 2004.

Invited  Speakers and Presentation Titles

Theoretical and applied ecology

Professor Yoh Iwasa (Kyushu University, Japan): Lattice models for forest dynamics: mathematical

   analysis

Professor Sven Erik Jørgensen (Royal Danish School for Pharmacy, Denmark): Information and    complexity of ecosystems

Professor LeRoy Poff (Colorado State University, USA): Using ecoinformatics tools to model    hierarchically-structured aquatic ecosystems with implications for conservation

Computation

Professor S. S. Iyengar (Louisiana State University, USA) and E. C. Cho (Kentucky State University.    USA): Habitat monitoring using sensor networks: a review

Professor Evangelia Micheli-Tzanakou (Rutgers University, USA): Feature Extraction and    Computational Intelligence

Dr. Andrea Saltelli (IPSC, European Commission, Italy): Sensitivity analysis in practice

Computational behavior

Professor Steven Phelps (University of Florida, USA): Computational approaches to mate choice:     insights into the evolution of brain and behavior

Information processing in molecular biology

Professor Peter Noble and David Stahl (University of Washington, USA): Ecological informatics and    grappling with the complexity of microorganisms in ecological system

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Important  dates

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  Abstract submission : August 16 (Mon), 2004

  Full paper submission : October 28 (Thu), 2004

  Early registration : August 16 (Mon), 2004

  Although ecological and environmental concerns are necessary in keeping our world livable and sustainable, the interpretation of ecosystems is a difficult task because, as generally speaking, ecological data can embed complexity and nonlinearity into the system. Recently, numerous computational and statistical approaches have been developed, leading to the appearance of Ecological Informatics.

  Ecological Informatics is defined as an interdisciplinary framework promoting the use of advanced computational technology for elucidating the principles of information processing at and between all levels of complexity of ecosystems - from genes to ecological networks. Ecological Informatics also aid transparent decision-making in relation to important issues in ecology such as sustainability, biodiversity and global warming. Distinct features of ecological informatics include data integration across ecosystem categories and levels of complexity, inference from data patterns to ecological processes, and adaptive simulation and prediction of ecosystems
( see  http://www.waite.adelaide.edu.au/ISEI/).

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