Sessões Paralelas

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 in social, life and engineering sciences, related to the stability and resilience of our planet's ecosphere and managing of local and global goods, 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 Human well-being at local and global scales, cooperation, decision-making and the interactions between human, environmental, and engineered systems 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 in social and life sciences, and to find collaborators for putting this into practice.

Previous Edition
The session has been organized since 2019.
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
  • management for biodiversity
  • management of collective goods
  • multi-agent systems
  • population dynamics
  • optimization
  • processing of remote and local sensing
  • resource supply chains
  • socio-ecological systems
  • theoretical ecology
  • urban planning
Coordinators

Ana Almeida Matos     ana.matos@tecnico.ulisboa.pt    Instituto Superior Técnico — Universidade de Lisboa
Francisco C. Santos

Program Committee

Andreia Sofia Teixeira, Learning Health Hospital da Luz, Luz Saúde
Conceição Amado, Instituto Superior Técnico — Universidade de Lisboa
Cédric Grueau, Research Center for Informatics and Information Technologies
Fernando P. Santos, Princeton University
Flavio Pinheiro, Universidade NOVA Lisboa
Francisco Ferreira, Faculdade de Ciências e Tecnologia — Universidade NOVA Lisboa
Joana Gonçalves-Sá, Nova School of Business and Economics
Joao Barreto, INESC-ID Instituto Superior Técnico — Universidade de Lisboa
Joao Fernandes, Faculdade de Engenharia — Universidade Porto
Jácome Cunha, Universidade do Minho
Luís Correia, Universidade de Lisboa
Luís Moniz Pereira, NOVA LINCS, Faculdade de Ciências e Tecnologia — Universidade NOVA Lisboa
M. Rosário Oliveira, Universidade de Lisboa
Mário Santos, CITAB — Universidade de Trás-os-Montes e Alto Douro
Tiago Domingos, Instituto Superior Técnico — Universidade de Lisboa
Vítor V. Vasconcelos, Princeton University