Information is physical. The state spaces of quantum systems are exponentially large compared to their classical counterparts. These basic insights are driving efforts to encode difficult computational problems in the dynamics of quantum physical systems. I collaborate with Earth scientists at NASA's Ames Research Center on machine learning for climate science, workingto rewrite optimization problems into the dynamics of something akin to a microscopically-tuneable magnet. This early (and controversial: D-wave!) prototype hardware allows us to test quantum algorithms and provides insights into their classical counterparts. See:
In the past few years high resolution satellite imagery has become widely available to the public. It's up for grabs how this information gets used, and by whom. Earth scientists, yes. Anthropologists? Journalists? Environmental activists? I am interested in the democratization of this information. On the technical side, there is work to be done to parse the imagery and to sift the vast incoming streams of data for notable events. See:
My brother and I have been thinking, in the context of documentary studies (he is a documentary film and new media scholar), about the unique digital materiality of media built from images on internet photo-sharing websites. We've focused on the beautiful work of the Reconstructing Rome project out of the University of Washington, who set out to reconstruct a dynamic 3D model of Rome from the images tagged "Rome" on Flickr. We presented at Visible Evidence XX in Stockholm, 2013, and have a paper -- "Algorithmic City: 3D Viewing and the Haptic Database" -- out for review.