Transcript
Value Chain
Innovation Chain ?
Making
Delivering
CreationSynthesisDevelopment
DesignDecisionDiscovery
Design Thinking Lean StartupAgile Development
UnderstandingInsightPrediction
RiskUncertaintyInformation
Data: Data ScienceModels: Model Thinking
Adoption
ImitationDiffusionNetworks
INNOVATION
Interdisciplinarity
Process
Collaboration
What is Entrepreneurship ?
Entrepreneurship
Small and MediumEnterprise
Local Markets
Innovation Driven Enterprise
Global Markets
Bill AuletMIT
Who is an Innovator ?
5
Foundations
What are the objectives of innovative engineers, managers, computer scientists, and social scientists ?
• Design
• Decisions
• Discovery
Innovation Foundations
Order Disorder
Complexity Random
Quantum mechanics
White noise
Measurement
Statistical mechanicsIdeal gas lawP V = n R T
EmergenceSelf organization
Adaptive Criticality
Groups / CollectivesObjectives
Sensing / Learning Interdependency
NonlinearDynamic
Heterogeneity 6
Deterministic
Classical mechanicsF = k X
7
Predictability
Certainty
Risk-free
Complete information
Deterministic
Unpredictability
Uncertainty
Risk
Incomplete information
Non-deterministic
Innovation Foundations
8
Innovation Foundations
Uncertainty and risk are reduced with new information
Information is developed and insight is attained via
Data, models, processes
Design DecisionDiscovery
Innovation Foundations
Data
Models
: Data Science
: Model Thinking
Processes
Design Thinking
Scientific Method
9
Innovation
Data Science
Data modeling
Data visualization & exploration
Inferential statistics
Data analytics
Machine learning
Data
Models
Processes
10
Model Thinking
Data
Models
Processes
11
Why Model Thinking? • Clearer thinker
• The Many Model Thinker • Intelligent citizen the world• Understand and use data
• Understand patterns • Predict• Produce bounds • Retrodict• Inform data collection• Estimate hidden parameters • Calibrate
• Decide, strategize, and design
Scott Page
Model Thinking
A model can apply to multiple disciplines This leverages insight across disciplines
Multiple models can be used to study a problem
The wisdom or madness of crowds is due to independence and diversity of models for problem solving
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Processes 13
Design Thinking
Agile Development
Technology ventures Lean startupLean launch padDisciplined entrepreneurship
Data
Models
Processes
Design Thinking
Stanford Design School 14
Who is an Innovator ?
15
1962
Everett Rogers
“Uncertainty [among alternatives] motivates and individual to seek more information.”
16
What’s the Value ?
“The strategic stimulus to economic development is innovation, defined as the commercial application of
something new … ‘
Joseph Schumpeter 1911
17
What’s the Value ?
“If the United States is to maintain its economic leadership … it is agreed that innovation is the key and engineering is essential…”
National Academy of Engineering
2004
Basis For Most Disciplines and Interdisciplinarity ?
18
Data
Models
Processes
Discipline
Basis For Most Disciplines and Interdisciplinarity ?
19
Data
Models
Processes
Discipline A
Discipline B
Discipline A
Model Thinking
20
Design Thinking
Harvard SEAS 21
Design Thinking
Stanford Design School 22
Design Thinking
Harvard SEAS 23
Agile Development
24
Lean Launch Pad
25
26
Computer Science
Management
Models and Computation
Software Engineering
Academic Topics
Technology Ventures
Management Science
27
Models and Computation
Software Engineering
Integrating Themes
Technology Ventures
Management Science
Model Thinking
Design Thinking
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Computing 1 & 2Design Thinking
Financial AccountingEconomics
Data Structures & AlgorithmsSoftware Engineering
Data Modeling & VisualizationOperations Management
Finance Management Science
Marketing Multi Agent Systems
DS: Development OperationsDS: Software Design Methods
Business Capstone DS: Leading Product Development Teams
DS: Developing for Big Data
Data Science
Freshman
Sophomore
Junior
Senior
Raikes School curriculum
29
Computing 1 & 2Design Thinking
Financial AccountingEconomics
Data Structures & AlgorithmsSoftware Engineering
Data Modeling & VisualizationOperations Management
Finance Management Science
Marketing Multi Agent Systems
DS: Development OperationsDS: Software Design Methods
Business Capstone DS: Leading Product Development Teams
DS: Developing for Big Data
Model Thinking
Freshman
Sophomore
Junior
Senior
Raikes School curriculum
30
Computing 1 & 2Design Thinking
Financial AccountingEconomics
Data Structures & AlgorithmsSoftware Engineering
Data Modeling & VisualizationOperations Management
Finance Management Science
Marketing Multi Agent Systems
DS: Development OperationsDS: Software Design Methods
Business Capstone DS: Leading Product Development Teams
DS: Developing for Big Data
Design Thinking
Freshman
Sophomore
Junior
Senior
Raikes School curriculum
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