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 SHARP 2014 Conference

Leveraging Big Data Approaches for Next-Generation Innovation and Societal Benefits

The use of big data and analytics approaches in the fields of science, technology and business is promising and set to grow over the next several years.  The adoption of such approaches should lead toward the development of next-generation innovation that is widely adopted in organizations and localized communities but are also sharable over high-speed, gigabit cyber-networks such as the government's Geni initiative. Analytics-driven developments in various spheres such as healthcare, smart grid, public health, consumer, etc. can strongly influence the technological evolution, guide policy making, while reshaping the future and catalyze the innovation culture at the global, regional and metropolitan levels.  Various private and public open-data initiatives will be key drivers for this change. Such an approach requires a new thinking blended with state-of-art new business, technology and analytics skills and strong scientific research.

The SHARP 2014 Conference will identify opportunities and present various mechanisms that could make contributions in the field of applied analytics while taking us on an integrated, technology driven, innovation path for the future.

Call for Submissions

Conference submissions are hosted at EasyChair.

The conference invites submissions in following forms:

  • Research summary of 1000 words or less (peer reviewed)
  • Abstract of 100 words or less
  • Panel proposals of 1000 words or less (include panelists biography)
  • Proposal for Poster presentations 500 words or less
  • Analytics Prototype demonstrations

Submit Now


Important Dates:

  • August 15, 2014:     1,000-word paper summary deadline
  • August 15, 2014:    Papers Abstracts (100 words or less) Deadline
  • August 15, 2014:    Panel Proposals Deadline
  • August 24, 2014:    Authors Notified of Paper Acceptance Decision
  • August 31, 2014:     Final Paper Revisions Resubmission


Conference Chair:

Ashish Gupta, PhD
Associate Professor of Analytics & Information Systems
College of Business
University of Tennessee Chattanooga
Phone: (423) 425-4156