Opening remarks by the Strata program chairs, Edd Dumbill and Alistair Croll.
From hackathons to API-enabled civic data, learn how New York City government is evolving thanks to deeper engagement with the technology community.
by Jon Jenkins
The Kepler Mission began its science observations just over two years ago on May 12, 2009, initiating NASA’s first search for Earth-like planets. Initial results and light curves from Kepler are simply breath-taking, including confirmation of the first unquestionable rocky planet, Kepler-10b, and Kepler-11b, a system of 6 transiting planets orbiting one Sun-like star.
Kepler released light curves for the first 120 days of observations for over 150,000 target stars on February 2, 2011, and announced the identification of over 1235 planetary candidates, including 68 candidates smaller than 1.25 Earth radii, and 54 candidates in or near the habitable zone of their parent star. An astounding 408 candidates orbiting 170 stars as planetary systems were found. Dr. Jenkins will discuss how much we’ve learned over the 24 months about the instrument, the planets and the stars.
by Elissa Fink
Creating visualizations and info graphics with public data helps keep our politicians honest, and our society transparent. Strata and Tableau Public, a free tool for creating interactive online visualizations, have had hundreds of bloggers striving to win their Interactive Public Data Visualization Contest. Come see the best of the best from the contest, and the official announcement of the winner.
This keynote sponsored by Tableau Software
by Jer Thorp
Almost every piece of data is tethered to something in the real world. When we work with numbers, we are often able (and willing) to ignore the real world objects and systems that these numbers represent.
In this presentation, Jer Thorp will discuss his work with names—designing an arrangement algorithm for the 9/11 Memorial in Manhattan. He’ll walk through collaborative processes, admit to a series of failures and ultimately show how humans and software can combine to solve extraordinary problems.
by Randy Lea
The opportunity exists for organizations in every industry to unlock the power of iterative, big data analysis for new applications such as digital marketing optimization and social network analysis that improve the bottom line. Big data analysis is not just the ability to analyze large volumes of data, but also the ability to analyze more varieties of data and perform more complex analysis than is possible with more traditional technologies. But it doesn’t have to be as complicated as it sounds. This session will show you how you can bring the science of data to the art of business and empower more business users and analysts to operationalize insights and drive results. You’ll see examples of how data science is applied by making emerging analytic technologies more accessible to businesses and easily managed by enterprise architects across retail, financial services, and media companies.
This keynote sponsored by Aster Data
by John Rauser
Quantitative Engineer? Business Intelligence Analyst? Data Scientist? The data deluge has come upon us so quickly that we don’t even know what to call ourselves, much less how to make a career of working with data. This talk examines the critical traits that lead to success by looking back to what may be the first act of data science.
22nd–23rd September 2011