“The Secret Garden”: Artists, Bohemia and Gentrification in the Ouseburn Valley, Newcastle upon Tyne, UK.

Research has pointed to the importance of artists in the early stages of gentrification; however, few studies have examined specifically the meaning of gentrification and place-change from the perspective of artists themselves, and few studies have investigated the role of ‘creative city’ policies as unintended drivers of gentrification processes. This study generates insights into artists’ own views of gentrification processes within the gentrifying bohemia of the Ouseburn Valley in Newcastle upon Tyne in the North East of England. We stress that gentrification in this area cannot solely be understood as a process of displacement, but is also clearly linked to the growth of modes of regulation and commercialisation within social space. Increasing regulation, brought about by greater local state focus on ‘creative districts’, has impacted the Valley. Alongside this, projects of property development as well as a general growth in the popularity of the Valley as a nightlife consumption district and area of production for commercially-orientated creative class workers have challenged artists’ values of the area as a ‘secret garden’ where romantically inflected values of self-expression, autonomy, spontaneity and non-instrumental artist cooperation can be found.

Consequences of big data on the individual: Interview

The speed with which data has moved from being scarce, expensive and valuable, thus justifying detailed and careful verification and analysis to a situation where the streams of detailed data are almost too large to handle has caused a series of shifts to occur. Legal systems already have severe problems keeping up with, or even in touch with, the rate at which unexpected outcomes flow from information technology. The capacity to harness massive quantities of existing data has driven Big Data applications until recently. Now the data flows in real time are rising swiftly, become more invasive and offer monitoring potential that is eagerly sought by commerce and government alike. The ambiguities as to who own this often quite remarkably intrusive personal data need to be resolved – and rapidly - but are likely to encounter rising resistance from industrial and commercial bodies who see this data flow as ‘theirs’. There have been many changes in ICT that has led to stresses in the resolution of the conflicts between IP exploiters and their customers, but this one is of a different scale due to the wide potential for individual customisation of pricing, identification and the rising commercial value of integrated streams of diverse personal data. A new reconciliation between the parties involved is needed. New business models, and a shift in the current confusions over who owns what data into alignments that are in better accord with the community expectations. After all they are the customers, and the emergence of information monopolies needs to be balanced by appropriate consumer/subject rights. This will be a difficult discussion, but one that is needed to realise the great benefits to all that are clearly available if these issues can be positively resolved. The customers need to make these data flow contestable in some form. These Big data flows are only going to grow and become ever more instructive. A better balance is necessary, For the first time these changes are directly affecting governance of democracies, as the very effective micro targeting tools deployed in recent elections have shown. Yet the data gathered is not available to the subjects. This is not a survivable social model. The Private Data Commons needs our help. Businesses and governments exploit big data without regard for issues of legality, data quality, disparate data meanings, and process quality. This often results in poor decisions, with individuals bearing the greatest risk. The threats harbored by big data extend far beyond the individual, however, and call for new legal structures, business processes, and concepts such as a Private Data Commons. This Web extra is the audio part of a video in which author Marcus Wigan expands on his article "Big Data's Big Unintended Consequences" and discusses how businesses and governments exploit big data without regard for issues of legality, data quality, disparate data meanings, and process quality. This often results in poor decisions, with individuals bearing the greatest risk. The threats harbored by big data extend far beyond the individual, however, and call for new legal structures, business processes, and concepts such as a Private Data Commons.