Workshop: SOFT COMPUTING AND COMPUTATIONAL SUSTAINABILITY (COMPSUS)

Nowadays, society faces important challenges regarding sustainability as climate change or the increasing world population. For example, the Intergovernmental Panel on Climate Change stated in its fifth assessment report in 2014 the following: “Continued emission of greenhouse gases will cause further warming and long-lasting changes in all components of the climate system, increasing the likelihood of severe, pervasive and irreversible impacts for people and ecosystems. Limiting climate change would require substantial and sustained reductions in greenhouse gas emissions which, together with adaptation, can limit climate change risks”. The UN Environment Programme reported in 2012 in a discussion paper titled “One Planet, How many people?” that the majority of the studies carried out so far estimate that the Earth's capacity is at or beneath 8 billion people, a number that according to the UN Population Division (2015 revision) it is expected to be exceeded by 2030.
The solution to these challenges lies in a more efficient and effective use of the social, economic and environmental resources available. Computational Sustainability is an emerging field that aims at addressing this issue through the application of mathematics and computer science techniques in order to take advantage of the ability of computers to process high volumes of data. Within this broad range of computational methods, Soft Computing, the area encompassing techniques such as neural networks, fuzzy sets, metaheuristics or probabilistic reasoning, can be instrumental in this field given its wide application and success in areas as decision making, resource allocation and optimization, data mining, etc.
This workshop lies in the intersection between the two mentioned fields and aims at gathering recent advances in the applications of Soft Computing techniques to address the problems that arise in Computational Sustainability in order to create a forum, in which researchers and practitioners can communicate, discuss and share their latest findings in this topic. Papers can range from theoretical analysis to applied research.
Topics of the special session include (but are not restricted to) soft computing methods such as:
- Probabilistic Graphical Models
- Neural Networks
- Bayesian Methods
- Neural Networks
- Deep Learning
- Probabilistic Reasoning
- Fuzy Sets and Systems
- Rough Sets
- Evolutionary Algorithms
- Meta-heuristics
and their application to domains related to Sustainability, including:
- Natural resources and ecosystems (sustainable agriculture, management of natural spaces, optimization of natural resources, etc.)
- Energy (renewable energy, smart grids, energy saving, etc.)
- Climate Change and GHG emission reduction (climate trends and impact, electric vehicle, fuel consumption reduction, green computing, smart-cities, etc.)
PostLowCIT Best Paper Award
With the support of the PostLowCIT project, this workshop has established an award for the best paper related with the reduction of CO2 emissions. The PostLowCIT Best Paper Award will be valued in 400€ and given according to the following rules:
- The paper should be submitted following the normal submission procedure of the IDC 2018 conference meeting all deadlines.
- One of the authors should personally make the oral presentation of the paper and, if awarded, attend the award ceremony.
- The reviewers will be questioned if the submitted paper can be suggested for the PostLowCIT Best Paper award.
- The Award Commission will be formed by the organizers of the workshop and members of the PostLowCIT project.
- The organizers of the workshop can invite other experts to join the Award Commission.
- The Award Commission will consider the quality of the paper itself, the quality of the oral presentation and the social impact of the contribution.
- The awarded applicant will receive a certificate of the award and a 400€ valued prize.
Submission Guidelines
Interested colleagues are invited to submit novel contributions via the submission system. Only submissions with novel contributions with respect to the state of the art will be considered for inclusion in this session, i.e. workshop papers will be treated under the same criteria as regular conference papers.
All accepted papers will be included in the Symposium Proceedings, which will be published by Springer as part of their series Studies in Computational Intelligence.
Submission page: https://easychair.org/conferences/?conf=idc2018 (please add the prefix "COMPSUS:" to the title form field)
COMPSUS Organizers
- Antonio D. Masegosa, University of Deusto/IKERBASQUE, Spain (email)
- Pedro Lopez-Garcia, University of Deusto, Spain (email)
- Andres R. Masegosa, University of Almeria, Spain (email)
Program Committee
- Antonio D. Masegosa, University of Deusto/IKERBASQUE, Spain
- Pedro Lopez-García, University of Deusto, Spain
- Andres R. Masegosa, University of Almería, Spain
- Eneko Osaba, TECNALIA, Zamudio, Spain
- Enrique Onieva, University of Deusto, Spain
- Alejo J. Vazquez-Pardavila, University of Deusto, Spain
- David Pelta, University of Granada, Spain
- Jose Luis Verdegay, University of Granada, Spain
- Carlos Cruz, University of Granada, Spain
- Isaac Triguero, Univiersity of Nottingham, UK
- Dagoberto Castellanos, University of La Laguna, Spain
- Belén Melian, University of La Laguna, Spain
- Mario Pavone, University of Catania, Italy
- Antonio Salmeron, University of Almeria, Spain
- Dario Ramos-Lopez, University of Almeria, Spain
- Rafael Cabañas, University of Almeria, Spain
- Rafel Rumi, University of Almeria, Spain
- Serafin Moral, University of Granada, Spain
- Andres Cano, University of Granada, Spain
- Manuel Gomez-Olmedo, University of Granada, Spain