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Page 1: I&e ideas

Value Chain

Page 2: I&e ideas

Innovation Chain ?

Making

Delivering

CreationSynthesisDevelopment

DesignDecisionDiscovery

Design Thinking Lean StartupAgile Development

UnderstandingInsightPrediction

RiskUncertaintyInformation

Data: Data ScienceModels: Model Thinking

Adoption

ImitationDiffusionNetworks

INNOVATION

Interdisciplinarity

Process

Collaboration

Page 3: I&e ideas

What is Entrepreneurship ?

Entrepreneurship

Small and MediumEnterprise

Local Markets

Innovation Driven Enterprise

Global Markets

Bill AuletMIT

Page 4: I&e ideas

Who is an Innovator ?

Page 5: I&e ideas

5

Foundations

What are the objectives of innovative engineers, managers, computer scientists, and social scientists ?

• Design

• Decisions

• Discovery

Page 6: I&e ideas

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

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Predictability

Certainty

Risk-free

Complete information

Deterministic

Unpredictability

Uncertainty

Risk

Incomplete information

Non-deterministic

Innovation Foundations

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Innovation Foundations

Uncertainty and risk are reduced with new information

Information is developed and insight is attained via

Data, models, processes

Page 9: I&e ideas

Design DecisionDiscovery

Innovation Foundations

Data

Models

: Data Science

: Model Thinking

Processes

Design Thinking

Scientific Method

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Innovation

Page 10: I&e ideas

Data Science

Data modeling

Data visualization & exploration

Inferential statistics

Data analytics

Machine learning

Data

Models

Processes

10

Page 11: I&e ideas

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

Page 12: I&e ideas

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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Page 13: I&e ideas

Processes 13

Design Thinking

Agile Development

Technology ventures Lean startupLean launch padDisciplined entrepreneurship

Data

Models

Processes

Page 14: I&e ideas

Design Thinking

Stanford Design School 14

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Who is an Innovator ?

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1962

Everett Rogers

“Uncertainty [among alternatives] motivates and individual to seek more information.”

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What’s the Value ?

“The strategic stimulus to economic development is innovation, defined as the commercial application of

something new … ‘

Joseph Schumpeter 1911

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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

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Basis For Most Disciplines and Interdisciplinarity ?

18

Data

Models

Processes

Discipline

Page 19: I&e ideas

Basis For Most Disciplines and Interdisciplinarity ?

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Data

Models

Processes

Discipline A

Discipline B

Discipline A

Page 20: I&e ideas

Model Thinking

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Page 21: I&e ideas

Design Thinking

Harvard SEAS 21

Page 22: I&e ideas

Design Thinking

Stanford Design School 22

Page 23: I&e ideas

Design Thinking

Harvard SEAS 23

Page 24: I&e ideas

Agile Development

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Page 25: I&e ideas

Lean Launch Pad

25

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Computer Science

Management

Models and Computation

Software Engineering

Academic Topics

Technology Ventures

Management Science

Page 27: I&e ideas

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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

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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

Model Thinking

Freshman

Sophomore

Junior

Senior

Raikes School curriculum

Page 30: I&e ideas

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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

Design Thinking

Freshman

Sophomore

Junior

Senior

Raikes School curriculum