About the Symposium
The 4th International Symposium on Information Technologies in Environmental Engineering was held in May 28-29, 2009, in Thessaloniki, Greece. Recent success stories in ecoinformatics, promising ideas and new challenges were discussed among computer scientists, environmental engineers, economists and social scientists, demonstrating new paradigms for problem solving and decision making. Following a peer-review, accepted papers were included in an edited volume published by Springer-Verlag.
ITEE-2009 Symposium was held at the Macedonian Museum of Contemporary Art, Thessaloniki, Greece, hosted by the Intelligent Systems and Software Engineering Labgroup (ISSEL) of the Department of Electrical and Computer Engineering at the Aristotle University of Thessaloniki.
Information Technologies in Environmental Engineering
Information Technologies in Environmental Engineering is the title of the edited book with Symposium Proceedings, published by Springer. All conference participants received a complementary copy, sponsored by DRAXIS SA.
The proceedings of the Symposium are also available online from SpringerLink as an e-book: Information Technologies in Environmental Engineering.
Cite the proceedings as:
I.N. Athanasiadis, P.A. Mitkas, A.E. Rizzoli & J. Marx-Gómez (eds.) Information Technologies in Environmental Engineering, Springer Berlin Heidelberg, 2009.
From the book's back cover
Information technologies have evolved to an enabling science for natural resource management and conservation, environmental engineering, scientific simulation and integrated assessment studies. Computing plays a significant role in every day practices of environmental engineers, natural scientists, economists, and social scientists. The complexity of natural phenomena requires interdisciplinary approaches, where computing science offers the infrastructure for environmental data collection and management, scientific simulations, decision support documentation and reporting.
Ecology, environmental engineering and natural resource management comprise an excellent real-world testbed for IT system demonstration, while raising new challenges for computer science. Complexity, uncertainty and scaling issues of natural systems form a demanding application domain for sensor networks and earth observation systems; modelling, simulation and scientific workflows, data management and reporting, decision support and intelligent systems, distributed computing environments, geographical information systems, heterogeneous systems integration, software engineering, accounting systems and control systems.