L I P

Laboratório de Instrumentação e Física Experimental de Partículas

L I P

L I P [PARTICLES AND TECHNOLOGY]

SPAC

Social Physics and Complexity


// Scientific Computing

Computação Científica

SPAC uses large scale computational tools to study societal challenges, especially in disease forecasting, human behavior and public policy. This multidisciplinary research group takes advantage of the so-called “Big-Data Revolution” and works together to understand how individual behaviour impacts on society. We also focus on the risks that these technologies might entail and we help establish the guidelines for ethical uses of data science and artificial intelligence. The European Research Council has awarded  a Starting Grant to the group PI to conduct the research project “Fake News and Real People – Using Big Data to Understand Human Behaviour (FARE)”.

Understanding complexity has always been a hallmark of physics research and, through theory, experiments, and models, physicists have made fundamental contributions to many different complex fields. Right now, the so-called Digital Revolution is offering radically new ways to study complex behaviours and this is being recognized by physics and computer science departments in many top universities worldwide. Complexity Science (CS) studies complex systems and tries to identify general principles. Complex systems consist of a large number of interacting heterogeneous components (parts, agents, humans etc.), resulting in highly non-linear and unpredictable behaviour, with emergence properties. CS theory typically builds on statistical physics and dynamical systems, but also on information theory and, increasingly, network science.

The combination of large-scale data sources and a growing toolbox from machine learning and big data analytics, is making it easier to extract patterns and offer some predictions. In fact, many of the methods developed by statistical and particle physics are now being applied to societies and there is a growing perception that physics will be fundamental to study sociology and even psychology. Leading scientists are calling this new science “Social Physics” and arguing that, in some ways, complexity science will study the physics of human interactions.

Group webpage at LIP


// Research Area
Física Experimental de Partículas com aceleradores
Contacts
Group Leader:  
Joana Gonçalves-Sá


joanagsa@lip.pt


 


  • Learning from pandemics: using extraordinary events can improve disease now-casting models
  • Author(s):  Sara Mesquita, Cláudio Haupt Vieira, Lília Perfeito, Joana Gonçalves-Sá
  • Submission:  2021-01-20, Acceptance:  2021-01-20, Publication:  2021-01-20
  • Reference:  medRXiv   View publication

  • Hospitais vão começar a fazer escolhas impossíveis já esta semana
  • Author(s):  Joana Gonçalves-Sá
  • Submission:  , Acceptance:  , Publication:  2021-01-10
  • Reference:  Visão   View publication

  • Intergenerational Justice and Sustainability – An Analysis of Parliamentary Speeches and Media
  • Author(s):  Lília Perfeito, Paulo Almeida and Joana Gonçalves-Sá
  • Submission:  , Acceptance:  , Publication:  2020-12-01
  • Reference:  Calouste Gulbenkian Foundation   View publication

  • Temos poucas ferramentas para travar a pandemia
  • Author(s):  Joana Gonçalves-Sá
  • Submission:  , Acceptance:  , Publication:  2020-11-01
  • Reference:  Visão   View publication

View all the group publications


  • ANTS
  •  Anger camera-type detector simulation and experimental data processing tools.
  •     website


View all the group publications



Cristina Mendonça
Lisboa
Researcher

David Almeida
Lisboa
Master student

Eleonora Tulumello
Lisboa
Researcher

Íris Damião
Lisboa
Researcher

Irma Varela-Lasheras
Lisboa
Researcher

Joana Gonçalves-Sá
Lisboa
Researcher

João Loureiro
Lisboa
Trainee

José Reis
Lisboa
Master student

Lília Perfeito
Lisboa
Researcher

Nuno Pereira
Lisboa
Collaborator

Paulo Almeida
Lisboa
Technician

Pedro Canatário Duarte
Lisboa
Master student

Rita Saraiva
Lisboa
Administrative staff

Sara Mesquita
Lisboa
PhD student

Simone Lackner
Lisboa
Researcher

Sofia Pinto
Lisboa
Researcher


  • Grant Agreement 853566
  • Code:  FARE - Fake News and Real People (ERC)
  • Dates :  2020-10-01 :  2025-09-30
  • Funding:  1,499,844.00 €  

View all the group publications

 
 

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Laboratório de Instrumentação e Física Experimental de Partículas   LIP.PT

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