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Entries filed under “Public sector”

Internet2 Ready to Step Up to Big Data Realm

Jim Duffey writes that the Internet2 high-bandwidth network consortium designed to support collaborative ventures between universities, government research agencies and businesses, is ready to step up into the big data realm.

For Big Data, the Innovation Platform will allow member institutions to keep pace with the exponential growth in massive datasets generated by scientific research conducted by collaborative researchers in U.S. labs and universities. But Vietzke also expects advances similar to those in the university environments that created Google and Facebook to possibly emerge from use of the Innovation Platform.

The Internet2 consortium hopes to eventually deliver an enhanced network that can handle big data sets. Read the Full Story.


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Report: Big Data Services Sould Save Billions in Public Sector

Matthew Finnegan from Z Channel Biz writes that a new Policy Exchange report outlines how Big Data will play a fundamental role in the future of public services in the UK, potentially saving the government up to £33 billion a year.

According to Iain Gravestock at the KPMG IT Advisory practice, big data offers a good way to create a more efficient public sector. “More robust information and, more importantly, its analysis, is key to deciding the best use of diminishing resources across the public sector.”

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Interview: Can Big Data Predict the Next Revolution?

Can Big Data predict future political revolutions? In this interview, Kalev H. Leetaru from the University of Illinois discusses how his new analytics study does just that.

Kalev H. Leetaru, former Assistant Director for Text and Digital Media Analytics at the University of Illinois used software that picked out every person mentioned in the news, every company, organization, every terror group, every location, every action and all the connections between them, and created a gigantic network of 10B people, places, things and actions connected by 100T relationships between them. Leetaru’s research concluded that the tone of articles, their optimism or pessimism, can forecast future events. After claiming that his system generated better results than the U.S. intelligence apparatus, he was approached by them, as uncovered in this fascinating interview.


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Big Data in Government

In this special guest feature, Spectra Logic’s Kevin Dudak writes that while the government is great at gathering data, accessing useful information remains difficult.

I am currently wading through the massive task of trying to buy a house.  Searching is one part fun, one part frustrating.  My friends would say this shouldn’t come as a surprise, but I am looking for something a little different than normal.  I want some space for a workshop, a toy or two and maybe even a couple of goats.  At this point, you are asking what any of this has to do with government and big data.

When thinking about Big Data it can often be boiled down to the following steps:

  • Gathering the data
  • Storing the data
  • Learning from the data
  • Using the data

One thing governments of all sizes seem to be good at it is gathering data.  They definitely have lots of it. In fact some of it goes back farther than most companies have existed.  The scene from the end of Indiana Jones Raiders of the Lost Ark comes to mind, where the Ark gets put in a crate and stored away in a vast warehouse for further study.  As the camera pulls away, the crate gets lost in a sea of crates.

Currently there are islands of Big Data work in the government.  Research into the technology needed to analyze Big Data in the government is continuing.  The announcement in March 2012 of $200 million seeks to greatly improve the tools and techniques needed to access, organize and glean discoveries from huge volumes of data will undoubtedly teach us all some new things.  Looking at the details of the projects being worked on, it appears mostly focused on the analytics part of the larger Big Data world.

The wealth of public data various governments’ possess isn’t easy to use.  The GSA’s www.SearchUSA.gov is using Hadoop to provide search capabilities to government websites across the board.  It supports all levels of governments, from cities and states to federal agencies and multiple types of data.  This is a great example of what can be done to make data easier to get to.  I think there is a lot more opportunity for improvement in access to the data.

This leads me back to my house search.  I want to know what the zoning rules are, are there mineral leases, utility easements and right of ways on the land?  Can I build a barn where I want, or is there an underground power line there?  Some of the new data visualization concepts and technologies being discussed would be a great tool here.  Layering all the information that already exists about the property onto a map view would be fantastic.

Increasing the usability of the mass of public data through powerful searches, and visualization technologies is a challenge that will take time to solve.  The benefits and efficiencies could be great, both for government agencies and the public at large.


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Slidecast: Junar – Powering the Data Economy

In this slidecast, Diego May, co-founder and CEO of Junar presents: Powering the Data Economy. The company is focused on delivering the easiest-to-use, cloud-based Open Data platform and providing best practices for its clients.

Open Data is fast becoming the next defining theme for business and government because information drives innovation and collaboration,” said Diego May, CEO and co-founder of Junar. “And Junar is already the engine for hundreds of organizations who are opening data and for millions of end users who use that information today. As we rapidly move to a society dominated by information and services, Junar is busy powering that transformation and the Data Economy.”

Read the Full Story *Download the MP3 * Download the slides (PDF) Subscribe on iTunes * If Dropbox is blocked, download from this Google page.


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Webinar: NSF Big Data Solicitation May 21

On May 21, The National Science Foundation and the National Institutes of Health will host a webinar on their joint Core Techniques and Technologies for Advancing Big Data Science & Engineering solicitation. This webinar is designed to describe the goals and focus of the BIGDATA solicitation, help investigators understand its scope, and answer any questions potential Principal Investigators may have.

The BIGDATA solicitation aims to advance the core scientific and technological means of managing, analyzing, visualizing, and extracting useful information from large, diverse, distributed and heterogeneous data sets so as to: accelerate the progress of scientific discovery and innovation; lead to new fields of inquiry that would not otherwise be possible; encourage the development of new data analytic tools and algorithms; facilitate scalable, accessible, and sustainable data infrastructure; increase understanding of human and social processes and interactions; and promote economic growth and improved health and quality of life.

Update: The webinar audio is now available for replay. Download the slides (PDF).


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Video: Feds Roll Out Big Data Initiatives

In this video, Federal official describe how their agencies will embrace the opportunities and address the challenges afforded by the Big Data Revolution. Recorded at the Big Data Rollout event in Washington on March 29, 2012.

Featured speakers included Subra Suresh, director, National Science Foundation; Francis Collins, director, National Institutes of Health; Marcia McNutt, director, United States Geological Survey; Zach Lemnios; assistant secretary of defense for research & engineering, U.S. Department of Defense; Ken Gabriel, acting director, Defense Advanced Research Projects Agency; and William Brinkman, director, Department of Energy Office of Science.


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NSF to Lead Federal Efforts In Big Data


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At a White House event yesterday, NSF Director Subra Suresh announced a new Big Data solicitation including a $10 million Expeditions in Computing award and awards in cyberinfrastructure, geosciences, and training.

Data are motivating a profound transformation in the culture and conduct of scientific research in every field of science and engineering,” Suresh said. “American scientists must rise to the challenges and seize the opportunities afforded by this new, data-driven revolution. The work we do today will lay the groundwork for new enterprises and fortify the foundations for U.S. competitiveness for decades to come.”

NSF released a solicitation, “Core Techniques and Technologies for Advancing Big Data Science & Engineering,” or “Big Data,” jointly with NIH. This program aims to extract and use knowledge from collections of large data sets in order to accelerate progress in science and engineering research. Specifically, it will fund research to develop and evaluate new algorithms, statistical methods, technologies, and tools for improved data collection and management, data analytics and e-science collaboration environments.

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Feds to Announce Big Data Initiative: Webcast Thursday, March 29 at 2pm EST

The NSF is sponsoring a Big Data webcast on Thursday, March 29, 2012, from 2-3 pm ET.

Federal government science heads from OSTP, NSF, NIH, DOE, DOD, DARPA and USGS will outline how their agencies are engaged in Big Data research. Their remarks will be followed by a panel of thought leaders from academia and industry, moderated by Steve Lohr of the New York Times. The event will take place at the American Association for the Advancement of Science in Washington, D.C.


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Video: Using Big Data to Understand Students and Give them what they Need

In this video from Strata 2012, Steve Schoettler presents: Learning Analytics. Schoettler is Founder and CEO of Junyo, a learning analytics company creating tools to help teachers and students understand and improve academic success.

Our education system is not preparing students for college. There is an urgent need to improve academic outcomes and equip students with critical 21st century skills. Evidence from top-performing schools shows that use of data, analysis, and feedback are our best tools for improvement. The increasing use of online software and digital devices in classrooms presents an opportunity to collect high-frequency data for mining. Today’s analytics techniques could be used to develop a deeper understanding of how students learn, recommend personalized learning plans, and identify early warning flags. Rich data, analytics, and feedback enable a process of iteration and continuous improvement, where educators become learners, and we figure out how to improve education. We are at the beginning of a wave of data-driven change in education, with important social consequences and fantastic opportunities.


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