[AISWorld] FW: Call for Papers -- Enterprise Computing Community (ECC) Conference June 12-14, 2016

[David Douglas]

Please excuse cross-listing

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https://ecc.marist.edu/web/conference2016



The ECC National Conference is a two day event focused on educational, practitioner and research topics in enterprise computing systems. The conference includes keynote speakers, peer-reviewed papers and presentations, demonstrations and panel discussions in three tracks; Industry, Research and Curriculum. Submissions are encouraged on the themes of the 2016 conference.



Conference Themes:

Industry Themes:

ECC Partnerships: academia, industry and government

Career paths for enterprise systems professionals

Corporate training programs for technology professionals

Internship programs and opportunities for students

Research Themes:

Cognitive computing, Context computing, Cybersecurity, Emerging Technologies & Big Data

Curriculum Themes:

Integrating enterprise computing into the undergraduate curriculum

Undergraduate/Graduate research projects: examples and case studies

New degree programs, concentrations, and certificates



                                                                       Submissions can be submitted until May 20, 2016.

                                               Submitters will be notified of program committee decision by May 27, 2016.

                                  For submission details, please see: https://ecc.marist.edu/web/conference2016/callforpaper



                             Accepted papers will be presented by their author(s) and will be published on the ECC National Conference website shortly after the conference.



For additional information, please contact Mary Ann Hoffmann via email at:

                                      Maryann.Hoffmann at marist.edu<mailto:Maryann.Hoffmann at marist.edu>
  Visit our website for Registration and Sponsorships: http://ecc.marist.edu


Dr. David E. Douglas
University Professor and Walton Professorship, Information Systems
Co-Director for the Institute for Advanced Data Analytics
Business Building 204B
1 University of Arkansas
Phone: 479.575.6114 Cell:  479-283-2217 Fax: 479.575.4168

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