Visit SIAM Blogs!

Posts Tagged ‘big data’

Visual analysis of 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.

Computational Biology in the 21st Century

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.

Watch the video!

Sep Kamvar talks about Search and Discovery in Human Networks

The web grows larger and more social every day, allowing ordinary people to express themselves more publicly and permanently than ever before through blogs and social media such as Facebook, Twitter, YouTube, Instagram, and Foursquare.

Sep Kamvar, LG Career Development Professor of Media Arts and Sciences and director of the Social Computing group at the MIT Media Lab, Massachusetts Institute of Technology, has had more than a decade of experience studying social technology that has emerged from this tremendous growth in public human communication and self-expression on the web.

In a free public lecture organized as part of the Annual Meeting of the Society for Industrial and Applied Mathematics (SIAM) in Chicago in July 2014, Dr. Kamvar discussed how this technological and accompanying cultural shift offers a great opportunity to study (and organize) people.

View the video!

Big Data and mathematical modeling [Video]

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!

Finding answers in big data sets

 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 »

Big Data: White House R&D Initiative and a session at AN12

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.

A detailed press release and a webcast of the event can be found on the NSF site.

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.