Event Information

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Title: Michael Richey, Chief Learning Scientist - The Boeing Company
Sharing: Public
Start Time: Friday November 16, 2018 10:30 AM
End Time: Friday November 16, 2018 11:30 AM
Location: Dorsey Learning Hall, Room 1106
Contact: Katy Borner
Free/Busy: busy
Description:

Speaker: Michael Richey, Chief Learning Scientist – The Boeing Company

Where: Dorsey Learning Hall 1106, Luddy Hall

When:  Friday – November 16, 2018 10:30 AM

Topic: Architecture of Intelligent Cognitive Assistants and the Future of Work

Abstract:We are living in an age transformed by intelligent systems. Data science including Machine Learning, Artificial Intelligence and Natural Processing Language methods are changing business communication and making transparent workforce expertise and culture. The concept of coupling AI and digital data between agents (learners) the system culture (formal and informal) within a real world environment (robots) enables us to see interaction patterns, agent sensing, acting and knowledge optimizing.

Changes in the skills and knowledge necessary for successful digital life and work flow are now impacting organization cultural systems as well. Organizations are inherently relational. In the jargon of complex systems, firms are complex adaptive systems composed of a network of employees bound together by contracts, who perform tasks by negotiating both internal relationships within firms, but also by observing, managing, and responding to constantly shifting external environments. 

These changes driven by convergence methods promise rapid innovation for companies due to the need for a highly-educated “adaptive ”workforce, but to also give company’s new opportunities to measure the flow-quality of information including key competency and agility measures. These data are starting to uncover the distributive cognition of agents within a social network, “The ghost in the machine” where thoughts are embodied in digital exhaust of agent actions (Madhavan and Richey, 2016).

 

Bio: Dr. Michael Richey is the Chief Learning Scientist and a Boeing Associate Technical Fellow currently assigned to support educational technology and innovation research at The Boeing Company.  Michael is responsible for leading a team conducting engineering education research projects that focus on improving the learning experience for students, incumbent engineers and technicians. His research encompasses, Sociotechnical Systems, Learning Curves, and Engineering Education Research. The online educational programs and research focus on practical understanding of human learning and the design of technology-enhanced learning environments and promoting global excellence in engineering and learning technology to develop future generations of entrepreneurially-minded engineers. Michael has served on various advisory groups including, the editorial board of the Journal of Engineering Education, Boeing Higher Education Integration Board, American Society for Engineering Education Project Board and the National Science Foundation I-UCRC Industry University Collaborative Research Center Advisory Board. Michael has authored or co-authored over 40 publications in leading journals including Science Magazine, The Journal of Engineering Education and INCOSE addressing topics in large scale system integration, learning sciences and systems engineering. Michael often represents Boeing internationally and domestically as a speaker - presenter and has authored multiple patents on Computer-Aided Design and Computer-Aided Manufacturing, with multiple disclosures focused on system engineering and elegant design. He is currently the Principle Investigator for the Boeing Internet of Learning Consortium, the Technical focal for the Boeing ASEE and manages the Boeing Santa Fee Institute Applied Complexity Network and edX Corporate Advisory Board relationship.

Additional responsibilities include providing business leadership for engineering technical and professional educational programs. This includes development of engineering programs (Certificates and Masters) in advanced aircraft construction, composites structures, systems engineering, product lifecycle management and digital manufacturing. This is achieved by partnering and investing in educational initiatives and programs between industry and institutions of higher learning. Michael has served on various advisory groups including, the editorial board of the Journal of Engineering Education, Boeing Higher Education Integration Board, American Society for Engineering Education Project Board, the National Science Foundation I-UCRC Industry University Collaborative Research Center Advisory Board and has server on the NAE as a committee member for the, “Status, Role, and Needs of Engineering Technology Education in the United States.”.  He is currently the Boeing Principle Investigator for the Boeing Internet of Learning Consortium, the Technical focal for the Boeing ASEE and manages the Boeing Santa Fee Institute Action Network relationship. Michael holds a B.A and M.Sc. from ESC Lille in Program Project Management and Ph.D. from SKEMA Business School with a focus on Engineering Education Research. In addition he holds a Caltech Certificate is System Engineering, a Stanford Certified Project Management Certificate and a Masters Certificate in Project Managem

Contact Email: katy@indiana.edu
Sponsoring Unit(s): Data Science
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