4/4/2017
National Academies Workshop
1
2:00 p.m.-3:00 p.m. Session IV:
Perspectives on Integration from Emerging and
Established Thought Leaders in Innovation
Moderator: Laurie Baefsky (member of the study committee)
Executive Director, ArtsEngine and the Alliance for the Arts in Research Universities (a2ru)
Jim Spohrer (IBM Reseasrch – Almaden)
Director of Cognitive Open Technologies
Dan Nathan-Roberts (San Jose State University)
Assistant Professor in Industrial and Systems Engineering
Ethan Eagle (Wayne State)
Assistant Professor, Mechanical Engineering
Aileen Huang-Saad (University of Michigan)
Assistant Professor in Biomedical Engineering and Engineering Education
Jim Spohrer (IBM)
Tempe, AZ, Thursday April 6, 2017
http://www.slideshare.net/spohrer/nas-integrated-education-20170406-v2
4/4/2017 © IBM Cognitive Open Technologies 2017
2
Integrated Higher Education:
Creating a Future-Ready Workforce of
T-shaped Adaptive Innovators
Question 3
• What does this
committee need to
know about the
employers perspective
on higher education?
What are employers
looking for and how
can students a.)
develop these skills
and b.) demonstrate to
employers that they
have these skills?
4/4/2017
© IBM Cognitive Open Technologies 2017
3
• In the age of accelerations,
industry prefers T-shaped
experienced talent from
acquired companies, over
hiring I-shaped students
• Employers are looking for
talent that has completed
projects – what would you do
with 100 workers?
• Degrees, courses, and specific
skills, matter most in the
context of projects with clear
empathy and outcomes
– Especially important are
projects that used open
technologies (OT)
Next Generation Future-Ready Workforce:
T-Shaped Adaptive Innovators
Many disciplines
Many sectors
Many regions/cultures
(understanding & communications)
Deepinonesector
Deepinoneregion/culture
Deepinonediscipline
4/4/2017 © IBM Cognitive Open Technologies 2017 4
“No one knows everything, but a well-chosen team of T-shapes has empathy to learn anything.”
Mindset of T-Shapes
4/4/2017 © IBM Cognitive Open Technologies 2017 5
Grit = Passion + Persistencehttp:/tsummit.org/t
4/4/2017
© IBM Cognitive Open Technologies 2017
6
“The best way to predict the future is to inspire the
next generation of students to build a better world”
Digital Natives Transportation Water Manufacturing
Energy Construction ICT Retail
Finance Healthcare Education Government
4/4/2017 © IBM Cognitive Open Technologies 2017 8
Open Technologies
Spohrer J, Maglio PP, Bailey J, Gruhl D (2017) Steps toward a science of service systems. Computer. 40(1).
Spohrer J, Bassano C, Piciocchi P, Siddike MA (2017) What Makes a System Smart? Wise? In Advances in The
Human Side of Service Engineering 2017 (pp. 23-34). Springer International Publishing.
Service System: Dynamic configuration of people, technology, information, and organizations
connected internally and externally by value propositions. [socio-economic-technical systems]
Smart Service Systems: People and organizations augmented with digital cognitive systems.
Age of Accelerations
Steps Toward a Next Generation
Cognitive Curriculum
• 2016
• “How to build a cognitive system for Q&A task.”
• 9 months to 40% question answering accuracy
• 1-2 years for 90% accuracy, which questions to reject
• 2026
• “How to use cognitive assistants to be a better professional X.”
• Tools to build a student level Q&A from textbook in 1 week
• 2036
• “How to use your cognitive mediator to build a startup.”
• Tools to build faculty level Q&A for textbook in one day
• Cognitive mediator knows a person better (in some ways)
than they know themselves (identity & responsibility)
• 2046 & 2056
• “How to manage your workforce of digital workers.”
• 2046: 10 digital workers each; 2056: 100 digital workers each
4/4/2017 9
4/4/2017 10
1955 1975 1995 2015 2035 2055
Can better service help us be wiser?
Cognitive Mediator (by 2035): Tool, Assistant, Collaborator, Coach, Mediator
Open Technologies will enable this and more…
© IBM Cognitive Open Technologies 2017
1972: Jim’s first program Today: Better building blocks
Computing: Then, Now, Projected
4/4/2017 11
2035
2055
12
Hi-Ed Culture Change:
All courses change some every year and include projects.
Faculty, students, and industry professionals as lifelong learners.
• Problem (too static)
– A: Input: Student quality
– B: Process: Faculty motivation
– C: Output: Industry fit
• Solution (change systematically)
– A: -20% eLearning certification
– B. +10% Faculty interest tuning (publications)
– C. +10% On-the-job skills tuning (projects)
Year 1: 20%
Year 2: 20%
Year 3: 20%
Year N: 20%
. . . . . . . .
After a decade the course may look quite different
Service systems are learning systems: productivity, quality, etc.
Projects: Include studying relevant startups/innovators, and building networks to them.
4/4/2017 © IBM Cognitive Open Technologies 2017 13
Question 1
• Do you think that
educational experiences
that integrate the
humanities and arts with
science, technology,
engineering, math, and/or
medicine would better
prepare students for the
workforce than the
traditional liberal arts
model of higher
education? If so, why? If
not, why?
4/4/2017
© IBM Cognitive Open Technologies 2017
14
• Yes, PB_AC_MT_LSE_OT
– PB: Project-based
– AC: Authentic challenges/empathy
– MT: Multidisciplinary teams
– LSE: Like startup experience
– OT: Open technologies
• Why?
– Age of accelerations
– Better building blocks (OT)
– Make-a-job, not take-a-job
mindset (grit, growth)
• Requires Hi-Ed culture change
– Old: Prepare + launch
– New: Projects + lifelong learners
Question 2
• If you were going to design
a college curriculum for
someone who hoped to
become a T-shaped
professional, what would
that curriculum look like?
Which aspect of the
curriculum would
contribute to the deep
part of the “T” and which
to the broad parts of the
“T”? Would any parts of
this curriculum be
integrative?
4/4/2017
© IBM Cognitive Open Technologies 2017
15
• PB_AC_MT_LSE_OT
• Deep = major courses
• Broad = minors courses
• T = integrated education that
demonstrates empathy and
outcomes via projects
• Every course
– Reflect Hi-Ed culture change
– Courses evolve and include a
mini-project with workforce
partnerships
– Builds a network for learners
– Theme: Rapid rebuilding from
scratch with OT (resource
integration pathways)
Engineering Tools to Augment
4/4/2017
© IBM Cognitive Open Technologies 2017
16
Harris S, Karkauer D (2016) Complexity& Stupidity. A Conversation with David Krakauer. Sam Harris Podcast
4/4/2017
© IBM Cognitive Open Technologies 2017
17
Liberal Arts: Knowing + Doing
• Deep understanding of history, culture, literature,
philosophy, mathematics, physical and sociale sciences,
technology, and traditions of interpretation (world
views) with the goal of creating independent thinkers
capable of critical thinking and lifelong learning
• Knowing: Liberals arts can contribute to the breadth of
T-shaped professionals, especially well-informed critical
thinking skills who are lifelong learners
• Doing: Projects also contribute to breadth, especially
teamwork and project management skills, and the right
kind of projects may appeal to future employers
4/4/2017
© IBM Cognitive Open Technologies 2017
18
4/4/2017 © IBM Cognitive Open Technologies 2017 19
Today’s Talk: Integrated Education
• Context
• Open Technologies and Age of Accelerations
• Science of Smarter/Wiser Service Systems
• Digital Cognitive Systems: AI vs IA
• Liberal Arts: Knowing + Doing
• Questions and Responses
• (1) Integrated Education = ? (PB_AC_MT_LSE_OT)
• (2) T-shapes = ? (Depth and breadth integrated by
projects; empathy and outcomes that matter)
• (3) Industry wants = ? (T-shaped lifelong learners;
effective resource integrators; adaptive innovators )
4/4/2017 Understanding Cognitive Systems 20
Jim Spohrer
(Maine, MIT, Verbex, Yale, Apple, IBM, …)
Digital Cognitive Systems: AI vs IA
4/4/2017 © IBM Cognitive Open Technologies 2017 21
AI is Artificial Intelligence, or
intelligence in machines (smart machines)
IA is Intelligence Augmentation, or
people thinking and working together with smart machines.
IA is what IBM calls “Cognitive Computing” and
the smart machines are called “Watson Solutions” or
more generally “Digital Cognitive Systems (Cogs)”
Cognition as a Service (CaaS):
AI building blocks for IA solutions
4/4/2017 © IBM Cognitive Open Technologies 2017 22
Spohrer JC, Engelbart DC (2004) Converging technologies for enhancing human performance:
Science and business perspectives. Annals of the New York Academy of Sciences.1013(1):50-82.
Roco MC, Bainbridge WS (2002) Converging technologies for improving human performance:
Nanotechnology, biotechnology, information technology, and cognitive science. WTEC.
https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/bioecon-%28%23%20023SUPP%29%20NSF-NBIC.pdf
Market for Exoskeletons
4/4/2017
© IBM Cognitive Open Technologies 2017
23
4/4/2017
© IBM Cognitive Open Technologies 2017
24
4/4/2017
© IBM Cognitive Open Technologies 2017
25
4/4/2017
© IBM Cognitive Open Technologies 2017
26
Engineering Robots We Will
Live In and Learn With
• Exoskeletons Clothing
• Driveless Cars
• Furniture, Chairs, Beds
• Robotic Houses
• Healthy Neighborhoods
• Robotic Cities
4/4/2017
© IBM Cognitive Open Technologies 2017
27
Amigos do Jean Paul Jacob
https://www.facebook.com/groups/jeanpauljacob/
Some paths to becoming 64x smarter:
Improving learning and performance
• 2x from Learning sciences (methods)
– Better models of concepts
– Better models of learners
• 2x from Learning technology (tools)
– Guided learning paths
– Elimination of “thrashing”
• 2x from Quantity effect (overlaps)
– More you know, faster you go
– Advanced organizers
• 2x from Lifelong learning (time)
– Longer lives and longer careers
– Keeps “learning-mode” activated
• 2x from Early learning (time)
– Start earlier: Challenged-based approach
– STEM-2D in K-12 (SSME+DAPP Design of Smart Service Systems)
• 2x from Cognitive systems (performance support)
– Technology & Infrastructure Interactions
– Organizations & Others Interactions
4/4/2017 © IBM Cognitive Open Technologies 2017 28
Top 10 Skills
4/4/2017 Understanding Cognitive Systems 29
Jobs of the Future
4/4/2017 Understanding Cognitive Systems 30
In sum, the top job of the future will be…
• Knowing what to do with 100 people working for you!
• What is the most productive purpose to point them towards?
• What goals create the most value for business and society?
• That is the world we are entering with digital cognitive systems (DCS)
• No shortage of DCS workers…
• …but what would you do with 100 people/DCS working for you?
• Most people don’t have any idea…
• However, great entrepreneurs do have an idea
• Education of the future must teach students to work in teams
• Work on challenges in teams with no solutions
• This will require T-shaped professionals with depth and breadth
4/4/2017 Understanding Cognitive Systems 31
Service Science
• Service System Entities
– Types: Businesses, Universities, Governments, etc.
– Nested & Networked Globally
– SD Logic (A2A; Resource Integrators)
• Value Co-Creation Interactions
– Types: Value-Proposition & Governance Mech-based
– Collaboration & Competition Blended
– SD Logic (Operant & Operant Resources)
• Builds On…
– Decades of Service Research (Marketing, Operations, etc.)
– SSME+D; From I to T to Pi-shapes… and beyond!
– T Summit (March 24-25, 2014)
• Measures
– Productivity, Quality, Compliance, Sustainable Innovation
– Holistic Service Systems
• Quality of Life, Balance Challenge & Routine
• Innovativeness, Equity, Sustainability, Resilience
Service Systems Fundamental Abstraction of Service Science:
ISSIP portal to Disciplines (23), Professional Associations (39), Journals (20), Conferences (31), Workshops (7)
IBM SSME Centennial Icon of Progress
Discipline Association
Marketing AMA
Operations Research INFORMS
Information
Systems
AIS
Computer Science
and Engineering
ACM, IEEE
Human Factors AHFE
Operations
Management
POMS
Systems Science ISSS
Design SDN
Systems Engineering IIE
… …
Serviceology SfS
(SSME+DAPP) ISSIP
Holistic Service Systems (HSS)
4/4/2017
© IBM 2013 IBM University Programs
worldwide accelerating regional
development (IBM UPward)
34
http://www.service-science.info/archives/1056
Nation
State/Province
City/Region
University
College
K-12
Cultural &
Conference
Hotels
Hospital
Medical
Research
Worker
(professional)
Family
(household)
For-profits:
Business Entrepreneurship
Non-profits
Social Entrepreneurship
U-BEE
Job Creator/Sustainer
U-BEEs = University-Based Entrepreneurial Ecosystems
“The future is already
here (at universities),
it is just not evenly
distributed.”
“The best way to
predict the future
is to (inspire the next
generation of students
to) build it better.”
“Multilevel nested,
networked
holistic service
systems (HSS)
that provision
whole service (WS) to
the people inside them.
WS includes
flows (transportation,
water, food, energy, com
development (buildings,
retail ,finance, health,
education),
and governance (city,
state, nation). ”
University Four Missions
1. Learning
2. Discovery
3. Engagement
4. Integration
4/4/2017 Understanding Cognitive Systems 35
Why ISSIP? T-shapes for
Teamwork
• Our world is becoming more
interconnected and complex
• Yet most organizations
operate is silos
• Most professional
organizations do a great job
of focusing on one
discipline, function, or
industry sector
ISSIP is a professional society designed
to focus on the interconnected nature
of value co-creation for smart service
systems (tech, biz, social, etc.)
BREADTH
DEPTH
T-Shape
professionals can
innovate across
traditional
boundaries
ISSIP Ambassadors
• More than 15 Ambassadors
and growing…
• Link ISSIP to other
professional associations,
research centers, conferences,
etc.
• Help ISSIP co-sponsor
activities in other conferences
more...
http://www.issip.org/learningcenter/valuen
twork/
The Well-Read Service Scientist
(The top 300 papers – together over 100,000 citations)
• http://service-science.info/archives/2708
Service-Dominant Logic
Prof. Stephen VARGO Prof. Robert LUSCH
Vargo, S. L., & Lusch, R. F. (2004). Evolving to a
new dominant logic for marketing. Journal of
marketing, 1-17. (Oct. 2013, ~4500 citations)
Claude Frédéric Bastiat David Ricardo Colin Clark Richard Normann John Riordan
Service Thinking
Saperstein & Hastings: Book, Course, ISSIP Certificate
All value is co-created
Service systems we live and work in
Componentized business architecture
Global-mobile-social scalable platforms
Run-Transform-Innovate
Multi-sided metrics
CVC Group, LLC 40
41
“Order of Magnitude” Observation:
Modeling Holistic Service Systems
Level AKA ~No. People ~No. Entities Example
0. Individual Person 1 10,000,000,000 Jim
1. Family Household 10 1,000,000,000 Spohrer’s
2.Neighborhood Street 100 100,000,000 Kensington
3. Community Block 1000 10,000,000 Bird Land
4. Urban-Zone District 10,000 1,000,000 SC Unified
5. Urban-Center City 100,0000 100,000 Santa Clara
6.Metro-Region County 1,000,000 10,000 SC County
7. State Province 10,000,000 1,000 CA
8. Nation Country 100,000,000 100 USA
9. Continent Union 1,000,000,000 10 NAFTA
10. Planet World 10,000,000,000 1 UN
In Summary
4/4/2017 © IBM Cognitive Open Technologies 2017 42
“A service science
perspective considers
the evolving ecology of
service system entities,
their value co-creation and
capability co-elevation
interactions, and their
capabilities, constraints,
rights, and responsibilities.”
Cognitive Systems
Entities
Service
Systems
Entities With
Cognitive
Mediators
Add Rights &
Responsibilities
But this stuff is still really hard…
4/4/2017 © IBM Cognitive Open Technologies 2017 43
4/4/2017
© IBM 2013 IBM University Programs
worldwide accelerating regional
development (IBM UPward)
44

Nas integrated education 20170406 v5

  • 1.
    4/4/2017 National Academies Workshop 1 2:00p.m.-3:00 p.m. Session IV: Perspectives on Integration from Emerging and Established Thought Leaders in Innovation Moderator: Laurie Baefsky (member of the study committee) Executive Director, ArtsEngine and the Alliance for the Arts in Research Universities (a2ru) Jim Spohrer (IBM Reseasrch – Almaden) Director of Cognitive Open Technologies Dan Nathan-Roberts (San Jose State University) Assistant Professor in Industrial and Systems Engineering Ethan Eagle (Wayne State) Assistant Professor, Mechanical Engineering Aileen Huang-Saad (University of Michigan) Assistant Professor in Biomedical Engineering and Engineering Education
  • 2.
    Jim Spohrer (IBM) Tempe,AZ, Thursday April 6, 2017 http://www.slideshare.net/spohrer/nas-integrated-education-20170406-v2 4/4/2017 © IBM Cognitive Open Technologies 2017 2 Integrated Higher Education: Creating a Future-Ready Workforce of T-shaped Adaptive Innovators
  • 3.
    Question 3 • Whatdoes this committee need to know about the employers perspective on higher education? What are employers looking for and how can students a.) develop these skills and b.) demonstrate to employers that they have these skills? 4/4/2017 © IBM Cognitive Open Technologies 2017 3 • In the age of accelerations, industry prefers T-shaped experienced talent from acquired companies, over hiring I-shaped students • Employers are looking for talent that has completed projects – what would you do with 100 workers? • Degrees, courses, and specific skills, matter most in the context of projects with clear empathy and outcomes – Especially important are projects that used open technologies (OT)
  • 4.
    Next Generation Future-ReadyWorkforce: T-Shaped Adaptive Innovators Many disciplines Many sectors Many regions/cultures (understanding & communications) Deepinonesector Deepinoneregion/culture Deepinonediscipline 4/4/2017 © IBM Cognitive Open Technologies 2017 4 “No one knows everything, but a well-chosen team of T-shapes has empathy to learn anything.”
  • 5.
    Mindset of T-Shapes 4/4/2017© IBM Cognitive Open Technologies 2017 5 Grit = Passion + Persistencehttp:/tsummit.org/t
  • 6.
    4/4/2017 © IBM CognitiveOpen Technologies 2017 6
  • 7.
    “The best wayto predict the future is to inspire the next generation of students to build a better world” Digital Natives Transportation Water Manufacturing Energy Construction ICT Retail Finance Healthcare Education Government
  • 8.
    4/4/2017 © IBMCognitive Open Technologies 2017 8 Open Technologies Spohrer J, Maglio PP, Bailey J, Gruhl D (2017) Steps toward a science of service systems. Computer. 40(1). Spohrer J, Bassano C, Piciocchi P, Siddike MA (2017) What Makes a System Smart? Wise? In Advances in The Human Side of Service Engineering 2017 (pp. 23-34). Springer International Publishing. Service System: Dynamic configuration of people, technology, information, and organizations connected internally and externally by value propositions. [socio-economic-technical systems] Smart Service Systems: People and organizations augmented with digital cognitive systems. Age of Accelerations
  • 9.
    Steps Toward aNext Generation Cognitive Curriculum • 2016 • “How to build a cognitive system for Q&A task.” • 9 months to 40% question answering accuracy • 1-2 years for 90% accuracy, which questions to reject • 2026 • “How to use cognitive assistants to be a better professional X.” • Tools to build a student level Q&A from textbook in 1 week • 2036 • “How to use your cognitive mediator to build a startup.” • Tools to build faculty level Q&A for textbook in one day • Cognitive mediator knows a person better (in some ways) than they know themselves (identity & responsibility) • 2046 & 2056 • “How to manage your workforce of digital workers.” • 2046: 10 digital workers each; 2056: 100 digital workers each 4/4/2017 9
  • 10.
    4/4/2017 10 1955 19751995 2015 2035 2055 Can better service help us be wiser? Cognitive Mediator (by 2035): Tool, Assistant, Collaborator, Coach, Mediator Open Technologies will enable this and more… © IBM Cognitive Open Technologies 2017 1972: Jim’s first program Today: Better building blocks
  • 11.
    Computing: Then, Now,Projected 4/4/2017 11 2035 2055
  • 12.
    12 Hi-Ed Culture Change: Allcourses change some every year and include projects. Faculty, students, and industry professionals as lifelong learners. • Problem (too static) – A: Input: Student quality – B: Process: Faculty motivation – C: Output: Industry fit • Solution (change systematically) – A: -20% eLearning certification – B. +10% Faculty interest tuning (publications) – C. +10% On-the-job skills tuning (projects) Year 1: 20% Year 2: 20% Year 3: 20% Year N: 20% . . . . . . . . After a decade the course may look quite different Service systems are learning systems: productivity, quality, etc. Projects: Include studying relevant startups/innovators, and building networks to them.
  • 13.
    4/4/2017 © IBMCognitive Open Technologies 2017 13
  • 14.
    Question 1 • Doyou think that educational experiences that integrate the humanities and arts with science, technology, engineering, math, and/or medicine would better prepare students for the workforce than the traditional liberal arts model of higher education? If so, why? If not, why? 4/4/2017 © IBM Cognitive Open Technologies 2017 14 • Yes, PB_AC_MT_LSE_OT – PB: Project-based – AC: Authentic challenges/empathy – MT: Multidisciplinary teams – LSE: Like startup experience – OT: Open technologies • Why? – Age of accelerations – Better building blocks (OT) – Make-a-job, not take-a-job mindset (grit, growth) • Requires Hi-Ed culture change – Old: Prepare + launch – New: Projects + lifelong learners
  • 15.
    Question 2 • Ifyou were going to design a college curriculum for someone who hoped to become a T-shaped professional, what would that curriculum look like? Which aspect of the curriculum would contribute to the deep part of the “T” and which to the broad parts of the “T”? Would any parts of this curriculum be integrative? 4/4/2017 © IBM Cognitive Open Technologies 2017 15 • PB_AC_MT_LSE_OT • Deep = major courses • Broad = minors courses • T = integrated education that demonstrates empathy and outcomes via projects • Every course – Reflect Hi-Ed culture change – Courses evolve and include a mini-project with workforce partnerships – Builds a network for learners – Theme: Rapid rebuilding from scratch with OT (resource integration pathways)
  • 16.
    Engineering Tools toAugment 4/4/2017 © IBM Cognitive Open Technologies 2017 16 Harris S, Karkauer D (2016) Complexity& Stupidity. A Conversation with David Krakauer. Sam Harris Podcast
  • 17.
    4/4/2017 © IBM CognitiveOpen Technologies 2017 17
  • 18.
    Liberal Arts: Knowing+ Doing • Deep understanding of history, culture, literature, philosophy, mathematics, physical and sociale sciences, technology, and traditions of interpretation (world views) with the goal of creating independent thinkers capable of critical thinking and lifelong learning • Knowing: Liberals arts can contribute to the breadth of T-shaped professionals, especially well-informed critical thinking skills who are lifelong learners • Doing: Projects also contribute to breadth, especially teamwork and project management skills, and the right kind of projects may appeal to future employers 4/4/2017 © IBM Cognitive Open Technologies 2017 18
  • 19.
    4/4/2017 © IBMCognitive Open Technologies 2017 19
  • 20.
    Today’s Talk: IntegratedEducation • Context • Open Technologies and Age of Accelerations • Science of Smarter/Wiser Service Systems • Digital Cognitive Systems: AI vs IA • Liberal Arts: Knowing + Doing • Questions and Responses • (1) Integrated Education = ? (PB_AC_MT_LSE_OT) • (2) T-shapes = ? (Depth and breadth integrated by projects; empathy and outcomes that matter) • (3) Industry wants = ? (T-shaped lifelong learners; effective resource integrators; adaptive innovators ) 4/4/2017 Understanding Cognitive Systems 20 Jim Spohrer (Maine, MIT, Verbex, Yale, Apple, IBM, …)
  • 21.
    Digital Cognitive Systems:AI vs IA 4/4/2017 © IBM Cognitive Open Technologies 2017 21 AI is Artificial Intelligence, or intelligence in machines (smart machines) IA is Intelligence Augmentation, or people thinking and working together with smart machines. IA is what IBM calls “Cognitive Computing” and the smart machines are called “Watson Solutions” or more generally “Digital Cognitive Systems (Cogs)” Cognition as a Service (CaaS): AI building blocks for IA solutions
  • 22.
    4/4/2017 © IBMCognitive Open Technologies 2017 22 Spohrer JC, Engelbart DC (2004) Converging technologies for enhancing human performance: Science and business perspectives. Annals of the New York Academy of Sciences.1013(1):50-82. Roco MC, Bainbridge WS (2002) Converging technologies for improving human performance: Nanotechnology, biotechnology, information technology, and cognitive science. WTEC. https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/bioecon-%28%23%20023SUPP%29%20NSF-NBIC.pdf
  • 23.
    Market for Exoskeletons 4/4/2017 ©IBM Cognitive Open Technologies 2017 23
  • 24.
    4/4/2017 © IBM CognitiveOpen Technologies 2017 24
  • 25.
    4/4/2017 © IBM CognitiveOpen Technologies 2017 25
  • 26.
    4/4/2017 © IBM CognitiveOpen Technologies 2017 26
  • 27.
    Engineering Robots WeWill Live In and Learn With • Exoskeletons Clothing • Driveless Cars • Furniture, Chairs, Beds • Robotic Houses • Healthy Neighborhoods • Robotic Cities 4/4/2017 © IBM Cognitive Open Technologies 2017 27 Amigos do Jean Paul Jacob https://www.facebook.com/groups/jeanpauljacob/
  • 28.
    Some paths tobecoming 64x smarter: Improving learning and performance • 2x from Learning sciences (methods) – Better models of concepts – Better models of learners • 2x from Learning technology (tools) – Guided learning paths – Elimination of “thrashing” • 2x from Quantity effect (overlaps) – More you know, faster you go – Advanced organizers • 2x from Lifelong learning (time) – Longer lives and longer careers – Keeps “learning-mode” activated • 2x from Early learning (time) – Start earlier: Challenged-based approach – STEM-2D in K-12 (SSME+DAPP Design of Smart Service Systems) • 2x from Cognitive systems (performance support) – Technology & Infrastructure Interactions – Organizations & Others Interactions 4/4/2017 © IBM Cognitive Open Technologies 2017 28
  • 29.
    Top 10 Skills 4/4/2017Understanding Cognitive Systems 29
  • 30.
    Jobs of theFuture 4/4/2017 Understanding Cognitive Systems 30
  • 31.
    In sum, thetop job of the future will be… • Knowing what to do with 100 people working for you! • What is the most productive purpose to point them towards? • What goals create the most value for business and society? • That is the world we are entering with digital cognitive systems (DCS) • No shortage of DCS workers… • …but what would you do with 100 people/DCS working for you? • Most people don’t have any idea… • However, great entrepreneurs do have an idea • Education of the future must teach students to work in teams • Work on challenges in teams with no solutions • This will require T-shaped professionals with depth and breadth 4/4/2017 Understanding Cognitive Systems 31
  • 32.
    Service Science • ServiceSystem Entities – Types: Businesses, Universities, Governments, etc. – Nested & Networked Globally – SD Logic (A2A; Resource Integrators) • Value Co-Creation Interactions – Types: Value-Proposition & Governance Mech-based – Collaboration & Competition Blended – SD Logic (Operant & Operant Resources) • Builds On… – Decades of Service Research (Marketing, Operations, etc.) – SSME+D; From I to T to Pi-shapes… and beyond! – T Summit (March 24-25, 2014) • Measures – Productivity, Quality, Compliance, Sustainable Innovation – Holistic Service Systems • Quality of Life, Balance Challenge & Routine • Innovativeness, Equity, Sustainability, Resilience
  • 33.
    Service Systems FundamentalAbstraction of Service Science: ISSIP portal to Disciplines (23), Professional Associations (39), Journals (20), Conferences (31), Workshops (7) IBM SSME Centennial Icon of Progress Discipline Association Marketing AMA Operations Research INFORMS Information Systems AIS Computer Science and Engineering ACM, IEEE Human Factors AHFE Operations Management POMS Systems Science ISSS Design SDN Systems Engineering IIE … … Serviceology SfS (SSME+DAPP) ISSIP
  • 34.
    Holistic Service Systems(HSS) 4/4/2017 © IBM 2013 IBM University Programs worldwide accelerating regional development (IBM UPward) 34 http://www.service-science.info/archives/1056 Nation State/Province City/Region University College K-12 Cultural & Conference Hotels Hospital Medical Research Worker (professional) Family (household) For-profits: Business Entrepreneurship Non-profits Social Entrepreneurship U-BEE Job Creator/Sustainer U-BEEs = University-Based Entrepreneurial Ecosystems “The future is already here (at universities), it is just not evenly distributed.” “The best way to predict the future is to (inspire the next generation of students to) build it better.” “Multilevel nested, networked holistic service systems (HSS) that provision whole service (WS) to the people inside them. WS includes flows (transportation, water, food, energy, com development (buildings, retail ,finance, health, education), and governance (city, state, nation). ” University Four Missions 1. Learning 2. Discovery 3. Engagement 4. Integration
  • 35.
  • 36.
    Why ISSIP? T-shapesfor Teamwork • Our world is becoming more interconnected and complex • Yet most organizations operate is silos • Most professional organizations do a great job of focusing on one discipline, function, or industry sector ISSIP is a professional society designed to focus on the interconnected nature of value co-creation for smart service systems (tech, biz, social, etc.) BREADTH DEPTH T-Shape professionals can innovate across traditional boundaries
  • 37.
    ISSIP Ambassadors • Morethan 15 Ambassadors and growing… • Link ISSIP to other professional associations, research centers, conferences, etc. • Help ISSIP co-sponsor activities in other conferences more... http://www.issip.org/learningcenter/valuen twork/
  • 38.
    The Well-Read ServiceScientist (The top 300 papers – together over 100,000 citations) • http://service-science.info/archives/2708
  • 39.
    Service-Dominant Logic Prof. StephenVARGO Prof. Robert LUSCH Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of marketing, 1-17. (Oct. 2013, ~4500 citations) Claude Frédéric Bastiat David Ricardo Colin Clark Richard Normann John Riordan
  • 40.
    Service Thinking Saperstein &Hastings: Book, Course, ISSIP Certificate All value is co-created Service systems we live and work in Componentized business architecture Global-mobile-social scalable platforms Run-Transform-Innovate Multi-sided metrics CVC Group, LLC 40
  • 41.
    41 “Order of Magnitude”Observation: Modeling Holistic Service Systems Level AKA ~No. People ~No. Entities Example 0. Individual Person 1 10,000,000,000 Jim 1. Family Household 10 1,000,000,000 Spohrer’s 2.Neighborhood Street 100 100,000,000 Kensington 3. Community Block 1000 10,000,000 Bird Land 4. Urban-Zone District 10,000 1,000,000 SC Unified 5. Urban-Center City 100,0000 100,000 Santa Clara 6.Metro-Region County 1,000,000 10,000 SC County 7. State Province 10,000,000 1,000 CA 8. Nation Country 100,000,000 100 USA 9. Continent Union 1,000,000,000 10 NAFTA 10. Planet World 10,000,000,000 1 UN
  • 42.
    In Summary 4/4/2017 ©IBM Cognitive Open Technologies 2017 42 “A service science perspective considers the evolving ecology of service system entities, their value co-creation and capability co-elevation interactions, and their capabilities, constraints, rights, and responsibilities.” Cognitive Systems Entities Service Systems Entities With Cognitive Mediators Add Rights & Responsibilities
  • 43.
    But this stuffis still really hard… 4/4/2017 © IBM Cognitive Open Technologies 2017 43
  • 44.
    4/4/2017 © IBM 2013IBM University Programs worldwide accelerating regional development (IBM UPward) 44