Compaso

Extended deadline for manuscript submission: June 7th, 2018

We invite research notes, articles, essays and book reviews that explore make visible and intelligible emerging practices of surveillance, their impact on privacy, and the roles of algorithms in social life. We welcome texts from multiple disciplines and genres.

Send manuscripts at compaso@compaso.eu

In light of persistent debates and recent revelations on the life of personal data beyond common intuitions and knowledge, we invite reflections on how to understand new ways of generating, harvesting, protecting and using personal data in the online and physical environments.

Papers may address broader questions such as:

1. How can we notice and understand the circuits of our personal data?
2. What have we learned from specific, personal incidents involving our digital traces, and from our experiences of dealing with settings and policies?
3. What tools and approaches can we use to gain control or, if we so choose, deliberately relinquish control over our data?
4. What concepts highlight and model emerging practices of surveillance and users’ resistance?
5. How do digital technologies and online media shape our understanding of privacy? What role do designers play in developing an ethics of privacy or surveillance?
6. How is privacy socially stratified on various lines of inequality – including gender, age, race and social class?
7. From China to the US and Europe, how do various governments, corporations and social actors enforce different regimes of surveillance & privacy for their citizens, consumers and users?

We also invite reviews and critical discussions of books dedicated to digital selves, surveillance and privacy, and algorithmic regulation – including, but not limited to the following:

1. Brunton, F. and Nissenbaum, H., 2015. Obfuscation: A user’s guide for privacy and protest. MIT Press.
2. Cheney-Lippold, J., 2017. We are data: Algorithms and the making of our digital selves. NYU Press.
3. Eubanks, V., 2018. Automating Inequality: How High-Tech Tools Profile, Police and Punish the Poor. St. Martin’s Press.
4. O’Neil, C., 2017. Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books.
5. Schneier, B., 2015. Data and Goliath: The hidden battles to collect your data and control your world. WW Norton & Company.
6. Turow, J., 2017. The aisles have eyes: How retailers track your shopping, strip your privacy, and define your power. Yale University Press.