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With IBM Global Services being the largest IT services organization in the world,
IBM has taken the lead in recognizing that college graduates need new skills to address business
and technical issues in a service business environment. Because services depend critically on people
working together and with technology to provide value for others, these new skills include the
ability to integrate across traditional disciplinary areas to obtain globally effective solutions
(rather than merely locally effective solutions).
Service Science, Management and Engineering (SSME)
is one approach to integrating a variety of disciplines, including areas in engineering,
social sciences and management, to properly focus education and research on services.
Many universities around the world are developing new services-oriented
courses and curricula; others are expanding their existing focus on services.
But a significant effort is still needed to develop a truly cross-disciplinary approach to SSME.
Attend this conference to share information and learn about the current status of SSME and to
foster its advancement and development October 5 – 7, 2006 in New York.
The conference goals are to:
- Demonstrate substantive results in the formation of multi-disciplinary Services Sciences,
Management and Engineering.
- Present ways SSME has been introduced into curricula to date.
- Learn about services research underway or planned.
- Outline a roadmap for establishing SSME as a legitimate discipline within the academic community.
- Identify how practitioners can join with faculty and administrators to focus
efforts on cross-functional, service-oriented courses and research.
- Identify recommended actions for academia and governments.
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Original Call for Position Papers
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Direct questions to SSME
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Dates
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Conference registration deadline
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7 September 2006
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Conference begins with reception
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5 October at 6:30PM EST
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Conference sessions
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6 October 8:00 AM until 8:30 PM and 7 October 08:00 AM until 1:30 PM
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Conference ends
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7 October at 1:30 PM EST
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Core Program Committee
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AJ Rindos, IBM Center for Advanced Studies
Daniel Berg, Rensselaer Polytechnic Institute
Diem Ho, IBM France
Hong Cai, IBM China Research Lab
Kazuyoshi Hidaka, IBM Tokyo Research Lab
Liba Svobodova, IBM Zurich Research Lab
Mark Davis, Bentley College
Nirmal Pal, Pennsylvania State University, Smeal College of Business
Paul Maglio, IBM Almaden Research Lab
Ravi Kothari, IBM India Research Lab
Wendy Murphy, IBM Almaden Research Lab
Yannis Viniotis, North Carolina State University
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