Paper long abstract:

Companies and people are increasingly looking for social intelligence in "big data"-- from the analysis of historically large and interlinked new streams of data, traces of massive online social networks, and computational models of complex problems. But what happens when we cast information and computer technologies into the social role of decision makers? What happens when people try to listen to (and learn from) the machines around them? And what do these questions imply about human communication, power, and agency in the many complexly linked social and technical systems in our contemporary world? In this paper I will present qualitative data from five years of field research on team decision making with, through, and around computational models in building architecture, and three years in the field of data-enhanced personal health and wellness.

The results are surprising and require new theoretical frames for the role of communication technologies in power and agency. In the fields we studied, teams deferred to the intelligence of algorithms that were little understood, governed, or questioned; people talked about using data to substitute for conversations; and they searched Facebook for surprise discoveries to thorny scientific problems. In short, these practices with data in our everyday lives challenge a vision of engaged, empowered and in-control users. They present us instead with the need for new languages to talk about the increasingly powerful social role our media and our devices play in shaping our lives.