Course is closed
Lead Instructor(s)
Jul 08 - 09, 2023
Registration Deadline
Tokyo, Japan
Course Length
2 days in person+3 live webinars
Course is closed

How can we move from experience-based projects to dynamic, innovative, and agile teamwork?  What will be the role of AI and computation in how organizations are structured and perform? How can we bring digital transformation to project management?

Today our most complex projects promise new opportunities: Transition to new energy. Autonomous vehicles. Robotics and AI supported services. Smart materials and smart cities. Breakthrough medicine, agriculture, and maritime systems.  However, these exciting new opportunities are uncertain and complex, and traditional project management may not be well suited to them.

These innovative platforms, products, and services have the potential to transform our society, if only we can change the way we design, implement, and coordinate complex projects.

Based on the latest research and engineering teamwork courses taught at MIT, Dr. Moser will present recent advances in computation supported teamwork, including model-based project management, agent-based modeling, and instrumented teamwork analytics.

This program is delivered in collaboration with CIC Tokyo

To bring this program to your region or organization, email


Course Overview


新しいプラットフォームや製品、サービス、特に持続可能な開発目標(SDGs)に対応したこれらの物達の革新的な開発、は、私たちの社会を大きく変える可能性を秘めています。今日の企業には、多くの新しい機会があります: 新エネルギーへの移行。自律走行車を含むモビリティ。ロボティクスとAI。スマートマテリアルと都市です。画期的な医療、農業、海事システム。しかし、これらのエキサイティングな新しい機会は、不確実で複雑なものです。




Program Schedule

22 hours of online and in-person learning over 5 sessions and 9 modules.

  • Online pre-program sessions:
    6/24 (Sat.) and 7/1 (Sat.)
  • In-person 2-day class at CIC Tokyo: 
    7/8-9 (Sat. and Sun.)
  • Hybrid in-person or online
    post-program session: 7/22 (Sat.)


1. イントロダクション:全体説明とプロジェクトマネジメント基礎
Introduction and Fundamentals

2. プロジェクトマネジメントの従来的手法と標準化プロジェクト
Classical Methods and Canonical Projects

1日目:7月8日(土)9:00-17:00(CIC Tokyo)
3. プロジェクトをシステムとして捉えるマネジメント
Projects as Systems
4. プロジェクトをシステムとして捉えた際の個別要素
System Elements
5. プロジェクトをシステムとして捉えた際の要素間の相関関係
System Relationships

2日目:7月9日(日)9:00-17:00(CIC Tokyo)
6. シミュレーションモデルを用いたプロジェクトマネジメント
Model-based Simulation
7. プロジェクトマネジメントの際のトレードオフとその対応
Project Tradespaces
8. プロジェクトのデジタルツインと、迅速なマネジメント
Project Digital Twins and Agility

フォローアップセッション:7月22日(土)10:00-12:00(オンライン/CIC Tokyo)
9. MITの考える次世代のプロジェクトマネジメント
Capstone Reviews. The Future of Project Management

Learning Objectives

The workshops will include hands-on modeling and simulation of projects. Participants will have access to several project modeling tools, including TeamPort project modeling software for installation and use. Those who are unable to use their own laptop for the workshop should indicate as part of registration, so that an alternative access or team approach can be prepared.

• 標準的プロジェクトの種類とチームワークの基本
Canonical Project Types and Teamwork Fundamentals

As a reminder of project management fundamentals, understanding the variety of canonical project types
(waterfall, spiral, set-based, agile...) and how these projects function differently.

• 実現可能な計画
Feasible Plans

Generate a project plan that is feasible given scope, resources, roles, dependencies, and risks.

• システムとしてのプロジェクト
Project as System

Model a project as integrated product, process, and organizational system. Leverage dynamic modeling to forecast emergent outcomes including rework.

• プロジェクトトレードスペース
Project Tradespace

Recommend a plan to stakeholders with a trade-space of alternatives across cost, schedule, scope, and risk.

• 非現実的な期待に挑戦する
Challenge Unrealistic Expectations

プロジェクトのコスト、スケジュール、スコープ、リスクに関する非現実的な期待に、誠実に挑戦する。 他者をリードし、 注意を喚起し、分析し、学習し、適応させる。
Credibly challenge unrealistic expectations related to project cost, schedule, scope, and risk. Lead others to shift attention, analyze, learn, and adapt.

• モデルベースのアジャイルアダプテーション
Model-based Agile Adaptation

Apply a systems model of the project linked to real performance as a digital twin and adapt the project design and behaviors for agile performance.


Who Should Attend

During this course, you will discover innovative processes that optimize team performance through dynamic and agile project management, and identify the capabilities and role of AI within your organization. We will explore recent advances in computation-supported teamwork, including model-based project management, agent-based modeling, and instrumented teamwork analytics.

This program is designed for:

  • CTOs, CINOs, and leaders of technological and research departments or projects needing to move from experience and document-based planning to dynamic, agile performance based on models and analytics
  • Technical professionals who want to gain hands on capabilities to build project models, simulate teamwork performance, improve project forecasting, and deploy project digital twins for ongoing agility
  • CEOs, entrepreneurs, and functional managers who want to create new business models and scale up their current operations adaptively and more rapidly than traditional approaches allow
  • Academics and corporate learning professionals who would like to learn the latest pedagogy and methods to teach advanced project management and model-based teamwork


  • CTO、CINO、技術・研究部門やプロジェクトのリーダーで、経験や文書に基づく計画から、モデルや分析に基づくダイナミックで俊敏なパフォーマンスへの移行が必要な方。
  • プロジェクトモデルの構築、チームワークパフォーマンスのシミュレーション、プロジェクト予測の改善、継続的なアジリティのためのプロジェクトデジタルツインの展開など、実践的な能力を身につけたい技術職の方。
  • 新しいビジネスモデルを創造し、従来のアプローチよりも適応的かつ迅速に現在の事業を拡大したいと考えるCEO、起業家、管理者の方々。
  • 先進的なプロジェクトマネジメントを学ぶための最新の教育方法とモデルベースドチームワークを学びたい学識経験者、企業の研修担当者。