Exploring the micro-politics of place: lifestyle migrants, collective identities and modes of belonging

Taking up Hopkins and Dixon’s (2006) call to attend to the micro-politics of everyday constructions of space and place, which necessarily involves psychological concepts such as identity, belonging and attachment, this paper aims to show how a critical socio-cognitive approach to discourse analysis is an effective means of unpacking the ways in which versions of place are (re)produced and negotiated through discursive practices, and in particular the ways in which ‘legitimate’ collective identities are constructed in relation to place. I focus on the contemporary social phenomenon of lifestyle migration. Within Europe, this typically involves relatively affluent northern Europeans moving to destinations in southern Europe that are strongly linked to tourism. Although lifestyle migrants are generally viewed by their hosts as ‘desirable’ migrants due to their perceived economic and socio-cultural capital, their integration into destination communities is often minimal. The question arises as to how these migrants construct modes of belonging in relation to their adopted home-place and how they relate to the other social groups with whom they share it. Using texts from a variety of sources, including in-depth interviews with British migrants in Portugal, I explore not only how migrants position themselves (and others) discursively in relation to places, but also how they are already positioned by discursive practices in the public sphere. I also examine to what extent the construction of a ‘legitimate’ mode of belonging involves the construction of intergroup cooperation within that place.

Cognitive robotics: a new approach to simultaneous localisation and mapping

Most simultaneous localisation and mapping (SLAM) solutions were developed for navigation of non-cognitive robots. By using a variety of sensors, the distances to walls and other objects are determined, which are then used to generate a map of the environment and to update the robot’s position. When developing a cognitive robot, such a solution is not appropriate since it requires accurate sensors and precise odometry, also lacking fundamental features of cognition such as time and memory. In this paper we present a SLAM solution in which such features are taken into account and integrated. Moreover, this method does not require precise odometry nor accurate ranging sensors.