This paper argues for a distinctive concept of "infopolitics" as a theoretical tool for understanding how new regimes of data are exerting increasing political control of our lives. It seems almost undeniable today that there is a politics at stake in such ubiquitous features of our society as social media interaction, electioneering (and election hacking) through those interactions, cell phone addiction, personal information monetization, the lack of security in personal data markets, and massively-scaled state surveillance. Yet, even if the (...) fact of the politics of these domains is now in view, what is insufficiently understood is how such a politics functions. What characterizes the politics of all of this data that is driving so much of our lives? To put the question in the terms afforded us by the political philosophy of Michel Foucault: what is the modality of power expressed in our contemporary politics of information? In response to these questions, this paper argues that the modality of "infopower" operates on us through the formats of data. (shrink)

This article compares three models for conceptualizing the political and ethical challenges of contemporary genetics, genomics, and postgenomics. The three analytical approaches are referred to as the state-politics model, the biopolitical model, and the infopolitical model. Each of these models is valuable for different purposes. But comparing these models in terms of their influence in contemporary discussions, the first is by far the dominant approach, the second is gaining in importance, and the third is almost entirely neglected. The widespread neglect (...) of the infopolitical dimensions of genetic sciences focused by the third model is puzzling in light of the fact that genetics, genomics, and postgenomics are all pre-eminent information sciences. The infopolitical model thus aims to bring into clearer view the specific political and ethical problems engendered by this informational nature of the genetic sciences. This model offers a way of understanding how ethically-salient and politically-fraught conceptual assumptions can be embedded in informational architectures such as algorithms and the formats (or data structures) upon which they rely. (shrink)