Posts Tagged ‘big data’
We live in an era in which the creation of new data is growing exponentially such that every two days we create as much new data as we did from the beginning of mankind until the year 2003. One of the greatest scientific challenges of the 21st century is to effectively understand and make use of the vast amount of information being produced. Visual data analysis will be among our most important tools to understand such large and often complex data. In this talk at the 2014 SIAM Annual Meeting, Christopher Johnson of the University of Utah presented state-of-the-art visualization techniques, including ways to visually characterize associated error and uncertainty, applied to Big Data problems in science, engineering, and medicine.
The last two decades have seen an exponential increase in genomic and biomedical data, which will soon outstrip advances in computing power to perform current methods of analysis. Extracting new science from these massive datasets will require not only faster computers; it will require smarter algorithms. At the 2014 SIAM Annual Meeting, Bonnie Berger of the Massachusetts Institute of Technology (MIT), showed how ideas from cutting-edge algorithms, including spectral graph theory and modern data structures, can be used to attack challenges in sequencing, medical genomics and biological networks.
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At the SIAM Conference on Computational Science and Engineering held in Boston in February 2013, professional mathematicians from various fields discussed the significance of big data and the importance of mathematical modeling to make sense of and interpret all that data in various fields from social networks and epidemiology to climatology. Watch a brief video with highlights!
Philadelphia, PA—Whether you’ve watched an elaborate weather forecast, made an online purchase, or received personalized news stories in your inbox in recent years, you’ve likely seen “big data” in action.
Big data is everywhere these days, be it personalized ad targeting, weather and climate modeling, or flu trend analysis to mention just a few.
Ever-increasing amounts of data are now available thanks to many modern realities: e-commerce and transaction-based information that has been stored over the years, data streaming in from growing social media activity and rising Web traffic, and sensor data from the increased use of digital sensors in industrial equipment, electrical meters, automobiles, and satellites, for example. With decreasing storage costs, archiving this data has also become easier than ever. Read the rest of this entry »
At a White House event led by the Office of Science and Technology Policy in Washington, D.C. Thursday, NSF Director Subra Suresh detailed new Big Data solicitations, $10 million Expeditions in Computing award, and awards in cyberinfrastructure, geosciences, and training. He said these efforts will build on the NSF’s legacy in supporting the fundamental science and underlying infrastructure enabling the big data revolution. Heads from other federal science agencies—OSTP, NIH, DOE, DOD, DARPA and USGS—also outlined how their agencies are engaged in Big Data research. They discussed cross-agency big data plans and announced new areas of research funding across various disciplines in the field. This was followed by a panel of thought leaders on the subject from academia and industry.
In light of the importance of collecting and interpreting ever-growing amounts of data and its important role in scientific and technological progress, the SIAM Annual Meeting will also feature a panel on big data. The session, which is to take place on Monday July 9 from 6:15—7:15 p.m. will be open to the public. Find detailed information about the panel, including a list of speakers here.
The 2012 SIAM Annual Meeting will be held in Minneapolis, Minnesota, from July 9—13.