Projective Cultures: The case of the Quantified Self and Health 2.0
Recently, the use of algorithms, data and metric technologies has invaded many spheres of production, knowledge and expertise. From marketing and advertising to healthcare and bioinformatics, various fields are currently exploring the possible benefits and challenges pertaining to the collection and usage of large data sets for different purposes and contexts. In my contribution I will consider some of the examples whereby data and their analytics are being deployed for the purpose of predicting certain activities and pre-empting future events. In doing so, I will discuss some of the ethical issues pertaining to such data-driven practices, focusing on issues of categorization and profiling, the projective and predictive nature of data science and its approach to the future, and the implications vis-à-vis understandings and practices of identity. Following these, I invoke the philosophy of Jean-Luc Nancy by way of offering alternative signposts for reconceiving the future beyond technocracy and prediction.