Creative Activism: a pedagogical and research tool

Environmental activism has a long history in protest, addressing issues of degradation and segregation that threaten existing ecologies, social and built fabrics. Environmental activism is traditionally understood as a reaction, chiefly by groups of people, against a perceived external threat. In the 60’s and 70’s, an activist stance began to emerge in the work of some artists and architects, who used creative methods such as performances, happenings, temporary spatial interventions etc to convey their political/aesthetic messages. Some of this work engaged directly with communities but predominantly it was the production of one individual working ‘outside’ society. However such actions demonstrated not only the power of the visual in conveying a political message but also the potential of conceptual creative approaches to reveal alternative values and hidden potentials. This marked a shift from activism as protestation towards an activism of reconceptualisation. Recently, activist groups have developed a more politically informed process. Whilst their ‘tools’ may resemble work from the 60’s and 70’s , their methodologies are non-traditional, ’rhizomatic’, pedagogical and fluid; working alongside, rather than against, the established power and funding structures. Such creative processes build new, often unexpected, stakeholder networks; offer neutral spaces in which contentious issues can be faced; and create better understanding of values and identities. They can also lead to permanent improvements and development in the physical fabric. This paper will discuss a pedagogical example of activism in architectural education. The event (www.fourdaysontheoutside.com) is in its fifth year of existence and as such has revealed a value and impulse beyond its learning and teaching value. The paper will discuss how the event contributes to the university’s outreach programme and how its structure acts as a seedbed for potential research projects and partnerships. UK Universities talk extensively about applied research but have few actual strategies by which to generate it. Fourdaysontheoutside offers some potential ways forward.

An efficient feature selection method for mobile devices with application to activity recognition

This paper presents a feature selection method for data classification, which combines a model-based variable selection technique and a fast two-stage subset selection algorithm. The relationship between a specified (and complete) set of candidate features and the class label is modelled using a non-linear full regression model which is linear-in-the-parameters. The performance of a sub-model measured by the sum of the squared-errors (SSE) is used to score the informativeness of the subset of features involved in the sub-model. The two-stage subset selection algorithm approaches a solution sub-model with the SSE being locally minimized. The features involved in the solution sub-model are selected as inputs to support vector machines (SVMs) for classification. The memory requirement of this algorithm is independent of the number of training patterns. This property makes this method suitable for applications executed in mobile devices where physical RAM memory is very limited. An application was developed for activity recognition, which implements the proposed feature selection algorithm and an SVM training procedure. Experiments are carried out with the application running on a PDA for human activity recognition using accelerometer data. A comparison with an information gain based feature selection method demonstrates the effectiveness and efficiency of the proposed algorithm.