PPT-1 Data simulations / Community challenges

Stephan Birkmann Jeff Valenti 2 Simulator uses Create simulator Performance Description Release simulated data Organize data challenge Release simulator 3 Agree on simulation g. working with language communities. Laura Tomokiyo. We know why we care. Scientific interest – what is possible in human language?. Preserving cultural identity – when a community loses its language, it loses part of its identity, heritage, history, and culture. of GATE Monte Carlo . simulations . and anthropomorphic phantoms as a tool to. optimize clinical imaging . protocols. Papadimitroulas . Panagiotis, MSc : . panospap@upatras.gr. Loudos George, PhD : . “. Modernisation: Evolution or revolution”. Pádraig Dalton, John Dunne & Donal Kelly. Global . Conference on a Transformative Agenda . for . Official . Statistics. New York 15-16 January 2015. deliver successful . MSDI. Rafael Ponce. &. Mike Osborne. with input from John Pepper. IHO MSDI WG Open Forum, 3 March 2015, London. 1. Challenges categorized into . ‘four pillars’ of SDI. IHO MSDI WG Open Forum, 3 March 2015, London. David Wallom . Overview. The problem…. Other communities. The pace of technological change. Using the data. The problem…. New telescopes generate vast amounts of data. Particularly (but not limited to) surveys (SDSS, PAN-STARRS, LOFAR, SKA…). in Human Disease Genetics & Genomics. Manolis Kellis. MIT Computer Science & Artificial Intelligence Laboratory. Broad Institute of MIT and Harvard. Big data Opportunities & Challenges . in human disease genetics & genomics. K. atja . Mikhailovich, Barbara . Pamphilon. , . Lalen. Simeon, . Barbara Chambers, Julio . Romero . University . of . Canberra, Pacific Adventist University, NARI, Baptist Union. Funded . by the Australian Centre for International Agricultural Research. Tackling the challenges facing rural areas in Northern England. . Friday 16 October 2015. Doff Pollard & Rita Lawson. . Doff Pollard & Rita Lawson. , . Tees Valley Rural Community Council, making the case for tackling social and economic challenges in isolated and post-industrial deprived rural areas in the context of economic crises on Teesside.. Spatiotemporal Mining of Atmospheric Data. Amy McGovern. Schools of Computer Science and Meteorology. amcgovern@ou.edu. . Why?. Image from the Norman Transcript. Photo from Amy McGovern. Image Courtesy: New York Times. Community Partnerships. John . Traynor. , . Gonzaga University. Using EWS data to partner. New focus on partnering with community. Annual Reporting Form for Community Partners. Annual Report on Community Partnerships to School Board. What is DESE?. If your science and engineering is not data enabled…. …you’re not doing it right.. http://. drewconway.com. /. zia. /2013/3/26/the-data-science-. venn. -diagram. Big Data in Agriculture (Today). Advancements in Scientific Computing. Qi. . Hu. , Nail A. . Gumerov. , . Ramani. . Duraiswami. Institute for Advanced Computer Studies and Department of Computer Science. Monica . Syal. , . J. . Gordon . Intro. Introductions. Value. Perspectives. Challenges. Discussion. Lead Into . Gold. : . The Alchemy of Open Data. . . August 2, 2010. TASSCC Annual Conference. Agenda. Janet Gilmore. 1. 2. Janet Gilmore. Understand the implementation challenges they may encounter during the implementation of the CP model to be able to anticipate and mitigate those . Understand how they have been addressed by CoH.