Connectionists: CfP: MACHINE LEARNING AND BIO-INSPIRED COMPUTATION AID TO INFORM COMPLEX ENVIRONMENTAL DECISIONS

[Antonino Staiano]

Apologize for multiple postings

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DEADLINE APPROACHING: July 15th, 2018
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Call for Papers of Virtual Special Issue on: MACHINE LEARNING AND
BIO-INSPIRED COMPUTATION AID TO INFORM COMPLEX ENVIRONMENTAL
DECISIONS at Ecological Informatics (Elsevier)
Guest Editors: Antonino Staiano (a)，Friedrich Recknagel (b)
a.Department of Science and Technology, University of Naples Parthenope,
Italy
b.School of Biological Sciences, University of Adelaide, Australia
Scope:
Environmental decision makers and scientists face highly dynamic and
complex problems that require suitable quantitative tools for data
analysis, synthesis and forecasting. To name just a few examples,
forecasting of the export of nutrients from river basins, salinity, ozone
levels, air pollution, algal growth and transport in lakes and rivers, or
assessing risks of species extinction by bioinvasion and degradation of
pesticides in soils, often exceed potential of statistical analysis and
simple mathematical modeling. Machine learning techniques such as
artificial neural networks, evolutionary algorithms, regression trees,
fuzzy and neuro-fuzzy modeling as well as bio-inspired computation such as
immuno-computing, prove to be very efficient in coping with highly complex
and non-linear problems. The aim of the proposed special issue is to draw
special attention to current applications and future potential of machine
learning and bio-inspired computation in the field of environmental
analysis and management, and to stimulate interdisciplinary collaborations
in this challenging research field. Researchers and practitioners in
computer science, artificial intelligence, natural and environmental
sciences are invited to submit papers on applications of machine learning
and bio-inspired computation to problems like impacts of pollution, global
warming, habitat degradation and bioinvasion on terrestrial and aquatic
populations, communities and ecosystems, pesticide risk assessment.
If you are interested in submitting a paper to the VSI, please submit your
manuscript to the EVISE system
https://www.evise.com/profile/api/navigate/ECOINF. Authors must select
“VSI:AI-aided decision making” in the submission process.
Timeline:


   - July 15 2018: extended submission deadline
   - August 2018: first round review
   - September 2018: final submission
   - November 2018: publication



Antonino Staiano, PhD
Assistant Professor
Dept. Science and Technology
University of Naples Parthenope, Italy
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