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Quantitative Horizon Scanning

for

Mitigating Technological Surprise:

Detecting the potential for collaboration at the interface

"The identification of potential breakthroughs before they happen" is a vague data analysis problem and "the scientific literature" is a massive, complex dataset. Hence QHS for MTS might seem to be prototypical of the data miner's lament: "Here's some data we have ... can you find something interesting?" Nonetheless, the problem is real and important, and we develop an innovative statistical approach thereto -- not a final etched-in-stone approach, but perhaps the first complete quantitative methodology explicitly addressing QHS for MTS.

QMDNS 2010 keynote address presentation slides

SA&DM manuscript

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