<div dir="ltr">Call for Papers of Virtual<span> </span><span class="gmail-m_6086823978418317647gmail-il">Special</span><span> </span><span class="gmail-m_6086823978418317647gmail-il">Issue</span><span> </span>on: MACHINE LEARNING AND BIO-INSPIRED COMPUTATION AID TO INFORM COMPLEX ENVIRONMENTAL DECISIONS<div style="font-size:12.8px"><br></div><div><span style="font-size:12.8px">The call is available at </span><font color="#1155cc"><span style="font-size:12.8px"><u><a href="https://www.journals.elsevier.com/ecological-informatics/call-for-papers/call-for-papers-of-virtual-special-issue-on-machine-learning" target="_blank" style="color:rgb(17,85,204)">https://www.journals.elsevi<wbr>er.com/<span class="gmail-m_6086823978418317647gmail-il">ecological</span>-<span class="gmail-m_6086823978418317647gmail-il">informatics</span>/<wbr>call-for-papers/call-for-<wbr>papers-of-virtual-<span class="gmail-m_6086823978418317647gmail-il">special</span>-<span class="gmail-m_6086823978418317647gmail-il">issu<wbr>e</span>-on-machine-learning</a></u></span></font></div><div><font color="#1155cc"><span style="font-size:12.8px"><u><br></u></span></font></div><b>Guest Editors</b>: Antonino Staiano (a)，Friedrich Recknagel (b)<br><br>(a). Department of Science and Technology, University of Naples Parthenope, Italy<br><br>(b). School of Biological Sciences, University of Adelaide, Australia<div style="font-size:12.8px"><br></div><div><br></div>Scope:<br><br>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<span> </span><span class="gmail-m_6086823978418317647gmail-il">special</span><span> </span><span class="gmail-m_6086823978418317647gmail-il">issue</span><span> </span>is to draw<span> </span><span class="gmail-m_6086823978418317647gmail-il">special</span>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.<br><br>If you are interested in submitting a paper to the VSI, please submit your manuscript to the EVISE system<span> </span><a href="https://www.evise.com/profile/api/navigate/ECOINF" target="_blank" style="color:rgb(17,85,204)">https://www.evise.com/<wbr>profile/api/navigate/ECOINF</a>. Authors must select “VSI:AI-aided decision making” in the submission process.<br><br><div><div class="gmail-m_6086823978418317647gmail-m_4044351660633725870gmail-m_6925799622203644054gmail_signature"><div dir="ltr" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)"><b style=""><font size="4">The submission deadline is July, 15 2018.</font></b></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)"><br></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)">Contact information:<span> </span><a href="mailto:antonino.staiano@uniparthenope.it" target="_blank" style="color:rgb(17,85,2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