Organic Networks: Computation for Human Organizations

Alex Pentland, Tanzeem Choudhury, Nathan Eagle, Push Singh

Room E15-387, MIT Media Laboratory, 20 Ames St, Cambridge MA 02139,


We propose that active pattern analysis of face-to-face interactions within the workplace can radically improve the functioning of the organization. There are several different types of information inherent in such interactions: interaction features, participants, context, and content. By aggregating this information, highpotential collaborations and expertise within the organization can be identified, and information efficiently distributed. Examples of using wearable machine perception to characterize face-to-face interactions and using the results to initiate productive connections are shown, and privacy concerns are addressed.

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