Computing for Sustainability (CfS)

Motivation and objectives

This session aims to provide a transdisciplinary venue for bringing computational methods to bear on understanding the foundations and solving problems related to the stability and resilience of our planet's ecosphere, including all its complex, dynamic and self-regulatory natural and human processes. Contributions that are explicitly aimed at understanding and helping solve global emergency issues such as climate change, biodiversity loss, pollution and degradation of life-supporting resources, and in improving cooperation, decision-making and the interactions between human, environmental, and engineered systems while fostering well-being of people at local and global scales, are particularly encouraged. Research aiming at the development of new computational or mathematical tools for natural and social sciences, including the integration of techniques from different fields, is also of great interest.

We believe that this event will promote a nation-based synergy between researchers that work on different application fields of computer science and engineering for studying planetary life sustainability, by facilitating their acquaintance with other computational tools and methods that can be used. Furthermore, it will inspire computer scientists and engineers to reflect on how they can strive to apply the domains in which they are specialists to contribute more directly towards common and urgent goals, and to find collaborators for putting this into practice.

Topics of Interest

The scope of this session includes (but is not limited to):

  • artificial life
  • collective dynamics
  • complex systems
  • computational biology
  • computational earth, life and social sciences
  • computational economics
  • computational modelling and simulation
  • computational social sciences
  • computational sustainability
  • domain specific languages
  • evolutionary dynamics
  • game theory
  • geographic information systems
  • green computing
  • intelligent monitorization systems
  • intelligent transportation systems
  • multi-agent systems
  • population dynamics
  • optimization
  • processing of remote and local sensing
  • resource supply chains
  • socio-ecological systems
  • theoretical ecology
  • urban planning

Track Chairs

Ana Almeida MatosIST - U. Lisboa / IT
Francisco C. SantosIST - U. Lisboa / INESC-ID

Program Committee

Ana Isabel MirandaU. Aveiro / CESAM
Ana Maria MartinsU. Açores / IMAR
Ana Almeida MatosU. Lisboa / IT
Cédric GrueauESTS - I. P. Setúbal / NOVA LINCS
Fernando P. SantosPrinceton University
Flávio PinheiroIMS - U. Nova Lisboa
Francisco FerreiraFCT - U. Nova Lisboa e Zero / CENSE
Francisco C. SantosIST - U. Lisboa / INESC-ID
Jácome CunhaU. Minho / NOVA LINCS
Joana Gonçalves SáSBE - U. Nova Lisboa / IGC
João Paulo FernandesFCT - U. Coimbra / CISUC
João Pedro BarretoIST - U. Lisboa / INESC-ID
Jorge M. PachecoU. Minho / CBMA
Liliana SalvadorUniversity of Georgia
Luís Borda de ÁguaU. Porto e U. Lisboa / CIBIO-InBIO
Luís Moniz PereiraFCT - U. Nova Lisboa / NOVA LINCS
Mário SantosU. Trás-os-Montes e Alto Douro / CITAB
Miguel Bastos AraújoU. Évora e Museo Nacional de Ciencias Naturales / INBIO/CIBIO.UE e CSIC
Neftalí SilleroFC - U. Porto / CICGE
Sara EncarnaçãoFCSH - U. Nova Lisboa / CICS
Sofia O. LopesU. Minho / CF-UM-UP
Tiago DomingosU. Lisboa / LARSys
Vítor V. VasconcelosPrinceton University



Universidade do Minho