Design and Crime (And other Diatribes)

Revista de Filosofia da Unidade de Investigação em Ciência, Tecnologia e Sociedade da Universidade Lusófona

Design Digital: Do traço ao pixel

Neste artigo pretende-se compreender a aversão que designers (e arquitectos, inclusive) sentem verdadeiramente em relação “ao computador”. Se de um modo ele é um excelente parceiro aceite por todos, simultaneamente, é com muita apreensão que se programam currículos de disciplinas universitárias para que os alunos aprendam as características projectuais do design, desenvolvam capacidade criativa (inteligência no uso de recursos para a produção de conceitos ou objectos) usando o computador sistematicamente, ou seja, não apenas como uma ferramenta de desenho, mas também de projecto (design). Os automatismos continuam a ser os monstros de hoje, porém, como aqui defendemos, os computadores sempre projectaram sombra humana, são “apenas” máquinas hipermédias que recorrem a existentes tecnologias para, supostamente, criarem novas mais transparentes na relação homem-máquina.

Systems thinking: learning or driving?

The ability to foresee how behaviour of a system arises from the interaction of its components over time - i.e. its dynamic complexity – is seen an important ability to take effective decisions in our turbulent world. Dynamic complexity emerges frequently from interrelated simple structures, such as stocks and flows, feedbacks and delays (Forrester, 1961). Common sense assumes an intuitive understanding of their dynamic behaviour. However, recent researches have pointed to a persistent and systematic error in people understanding of those building blocks of complex systems. This paper describes an empirical study concerning the native ability to understand systems thinking concepts. Two different groups - one, academic, the other, professional – submitted to four tasks, proposed by Sweeney and Sterman (2000) and Sterman (2002). The results confirm a poor intuitive understanding of the basic systems concepts, even when subjects have background in mathematics and sciences.

Systems thinking: learning or driving?

The ability to foresee how behaviour of a system arises from the interaction of its components over time - i.e. its dynamic complexity – is seen an important ability to take effective decisions in our turbulent world. Dynamic complexity emerges frequently from interrelated simple structures, such as stocks and flows, feedbacks and delays (Forrester, 1961). Common sense assumes an intuitive understanding of their dynamic behaviour. However, recent researches have pointed to a persistent and systematic error in people understanding of those building blocks of complex systems. This paper describes an empirical study concerning the native ability to understand systems thinking concepts. Two different groups - one, academic, the other, professional – submitted to four tasks, proposed by Sweeney and Sterman (2000) and Sterman (2002). The results confirm a poor intuitive understanding of the basic systems concepts, even when subjects have background in mathematics and sciences.