Smart Service System Challenge for Artificial Intelligence (AI) Doctoral Students

At top universities today with Computer Science (CS)/Artificial Intelligence (AI) programs, roughly 1 in 10 CS PhD-candidate students are doing AI-related work (machine learning, robotics, natural language processing, etc.).

So in the US, if there are about 50K CS graduate students in the US, about 5K are likely doing AI-related work.

That is a lot of talent.
The CSIG mission ( is to align some of this talent with the development of cognitive assistants for nearly 1000 occupations in smart service systems to boost creativity and productivity of workers.   Intelligent personal assistants and employee decision support systems (cognitive assistants) are already a focus for over a dozen Forbes Global 2000 companies, as well as an equal or greater number of startups — and with a next generation of these types of cognitive assistants, regions may be able to boost GDP per capita, and companies may be able to boost revenue per employee.  Of course, these efforts ultimately require building innovation capacity for re-designing teamwork in complex cyber-physical-social systems (aka co-creation processes in service systems) – hence the need to focus on smart service system teamwork redesign for many occupations across industries.

A number of researchers have started tracks at several key conferences exploring the development of smart service systems like these, and March 21-22 at the National Academies, these topics will also be discussed in sessions at the next T-Summit (




Conferences – Creating T-shaped Adaptive Makers of Smart Service Systems                                                               

July 7-9 San Jose – ICServ2015 – 4 keynotes, 60 papers

July 9-12 San Jose – Frontiers in Service – 6 keynotes, 90 papers

July 26-30 Las Vegas AHFE HSSE – 1 keynote, 1000+ papers

Jan 5-8 Hawaii HICSS – 2 keynotes, 500+ papers

Nov 12-14 Washington DC – AAAI Fall Symposium

March 21-22, 2016 Washington DC – T-Summit


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