In March of 2003, director and longtime diving enthusiast James Cameron piloted a specially designed submarine, the Deepsea Challenger, to the bottom of the Mariana Trench - the deepest point in the ocean, becoming only the second man in history to make the journey. Spending some nine hours at the bottom of the ocean, Cameron captured the entire incredible journey on film, including never before seen images the trench floor. Funds from this grant will support the production of three separate media projects related to Cameron's pioneering dive, a 90-minute 3D feature film, a two-hour television documentary, and a 40-minute 3D film designed for oversized screens. Additional funds will support the production of educational resources to complement the film's scientific content, as well as digital and media outreach activities.

This grant supports the production of a three-hour NOVA special, Making of North America, which takes a unique "biographical" approach to communicating facts about the geological and geographic history of the continent. Making of North America will put to use the work of two new graphics projects, Defense Advanced Research Projects Agency's Transparent Earth and Time Tunnel, to take the audience on a three-billion year adventure and "detective story." Scientists on the program will try to solve mysteries such as what is raising the Rockies and what is fueling the "hot spot" in the middle of the continent while taking a fresh look at landmarks like the Grand Canyon. The three hours will include a first program, Primeval Forces; a second hour, The Birth of North America; and a final show, The Human Landscape. The series will be augmented with enhanced digital content, most notably a mobile interactive map available on multiple platforms and a Google Earth tour. Funds will also support the development of a suite of teaching resources and a science cafй toolkit to attract younger audiences.

Funds from this grant provide operational support for the launch of the New York Genome Center, a pioneering New York City-based research facility that will conduct both its own genomic research as well as provide genetic sequencing, analysis, and other services to research institutions in the New York metropolitan area. A model in collaborative research, the center will allow participating institutions to have access to first class genomic analysis capabilities without having to buy and maintain their own equipment, rent lab space, and retain expensive staff. Eleven of the City's most prominent research institutions have signed on to the effort, including Cold Spring Harbor Laboratory; Columbia, Cornell, and NYU; and Memorial Sloan Kettering, New York Presbyterian, and Mount Sinai School of Medicine among others. The development of a major new research center promises to catapult New York into the center of the dynamic and rapidly growing field of genomics.

Many seminal experiments in behavioral economics have been performed using small groups of undergraduates at elite universities as subjects. Drawing robust scientific conclusions from these experiments is difficult. Student test subjects are, in general, whiter, richer, younger, and more American than the world populace taken as a whole. In addition, the campus laboratories that conduct such experiments are expensive to run, limiting the number of students that can be tested. Given the new possibilities opened up by the advent of the Internet, there should be easier ways to gather behavioral data using large numbers of participants from all over the world. This grant supports a project by Harvard's Erez Liberman Aiden to develop a user-friendly platform for creating, performing, and tracking large-scale economic experiments online. Called the "Laboratory for Online Research in Economics" (LORE), the platform will invite online visitors to participate in economic experiments, beginning in with classic "matrix games" such as the Prisoners' Dilemma or the Public Goods game and eventually expanding to include auction and market simulations with complex matching protocols and population structures. Harvard has funded the creation of a preliminary version of the LORE platform. Funds from this grant would pay for hardware, the hiring of a programmer, and provision of player incentives.

Funds from this grant support the work of Stanford economists Jonathan Levin and Liran Einay, who have obtained unprecedented access to a massive dataset on consumer behavior data collected by the internet retailing giant and auction site eBay. The eBay data is a goldmine of information containing records of hundreds of millions of transactions over ten years, including the histories of every seller, details on every item ever listed on the site, and records of every click made by site users. Grant monies will support Levin and Einay's work analyzing this data, which will initially focus on three distinct issues: how buyer and seller behavior have changed over time particularly with regard to auctions; how to model seller learning; and the impact of changes in online sales taxes on buyer and seller behavior. The depth and richness of the dataset they will be analyzing promises to shed new light on our understanding of what happens when people go shopping.