Personal Crunchology

Considering both the massive rise in public and private data as well as the recent rise in data driven research methods, this work critically reflects on the personal impact of data leaping into all aspects of our lives trying to uncover uncanny and playful implications of a data obese future.

By using web-services and computational devices we pile up data about various aspects of our lives. Notions such as the Internet of Things suggest that all things around us will soon be producing data. Others might use this data to sell us more stuff but how will we relate to our quantified selves? What impact will this mass quantification have on our private lives? How does obsessive self-tracking influence our physical and mental health? What might happen if we apply methods of pseudo objectification, which we know from business to the everyday? Will we use the same kind of predictive modeling currently used in areas such as marketing, risk management and climate research? How much do we believe in computational predictions and how many decisions do we want to delegate to machines?

A Computer Aided Prejudice

This project builds on processes used by corporations for marketing purposes to make computational judgements about people. Through integrating a surname profiling database with Gmail, the project allows us to experience a possible application of computational judgement for personal relationships. It originates in the idea that our gut-feeling and learned preconceptions of people don’t translate to our online communication. This project then questions if and to what extend we will use computational tools to assist in building first impressions of people we encounter online. The software sits discreetly within an email client quietly tempting the user to first profile the names in their inbox and then to accept or reject the information they reveal.

B Statistical Fortune Telling

This application provides ‘predictions’ based on personal data, giving a glimpse at what might appear if we start feeding our personal data streams into predictive computer models. It connects to a users Facebook account and utilises real data to generate a personalised ‘future report’ which can then be posted back to Facebook or (in the show context) be taken away as a printout.

Special Thanks to

Steffen Fiedler
Ilona Gaynor
Kevin Grennan
Gerrit Kaiser