Instead of looking at fundamental questions about the universe, Mr Huberman’s prolific papers identify how “prediction markets†can be used to identify successful projects inside companies; how to price a unit of grid-computing (broadly the harnessing of the collective processing power of many computers) and how to vie best for internet users’ attention. The old model of research, of “putting people in a bubbleâ€, is over, he says. The most interesting research is now done “where technology touches peopleâ€.
Related: Prediction Markets Blog by Consensus Point » Prediction Markets at GE – Putting Imagination to Work
