Learning Outcomes

Our goal is to educate data-minded and data-literate professionals from various backgrounds, with the capacity to capture macro-level systems story, recognize problems and design solutions, and the ability to compose solutions at scale using ICT.

At the end of the program, the participants will equip themselves with measurable skills in six (6) areas:

1. Organizational Transformation and Change Management:

  • Happiness: How to make people in cities happy and links to decision making and social dynamics
  • Sustainability: Apply and measure selected SDGs
  • Leadership: Transformational leadership of small groups with a path to larger scale transformation

2. Urban Planning and Design:

  • Consensus: Consensus building among the stakeholders of a community scale project
  • Digital transformation: Opportunities for digitization in cities, to what extent and for what purpose
  • Design: Good urban design to bridge social harmonies

3. Systems Design and Management:

  • Goals: Goals and needs of the system stakeholders
  • Trade-offs: Analysis of trade-offs between proposed architectures
  • Emergence: Identify relationships among system entities, anticipate impact on emergence, and validate performance

4. Entrepreneurial Product & Services Development:

  • Foundation: Identify the initial product and its market, its competitors and competitive advantage
  • Value Creation: Considering customer preferences, aesthetic and technology in product development, and identify sources of financing and potential economic return
  • Scale Up: How to scale up products and services through manufacturing, marketing, sales, and distribution

5. ICT Integration in the City:

  • City as a System: Analyze a city as an array of interconnected systems, and describe the plan for its operation in the presence of uncertainty and emergencies
  • Senseable City: Design a collection of actuators and sensors that provide a new capability to the city
  • Decisions: Identify key decisions and their alternatives, along with metrics, and use the analysis for a plan or design
  • Implementation: Develop and monitor approaches to implementation of a project, system, product or services, with targets and milestones

6. Application Oriented Information Communications Technology:

  • Data Organization and Data Assets: Explain how data is organized, and how the value of the data depends on quality, curation and organization
  • Machine Learning: Formulate input to machine learning, and interpret how the results affects cities, systems and products
  • Secure Data: The importance of data security, approaches, and appropriate level of security (Blockchain)
  • Digital Work Flow: Demonstrate an ability to participate in remote locations, producing scalable and fast response to opportunity, using online protocols and tools