Data-Driven Cities and the Global Goals

Effective data management is the backbone of evidence-based urban development, and the UN’s Global Agenda 2030 provides an inclusive, multifaceted framework to help cities and those who live in them leverage data to become more prosperous.

This course helps to broaden participants’ understanding of the role of open data in city administration and planning, and as a tool to improve governance, transparency, and accountability. By looking at global development frameworks and at examples from around the world, the course will analyze why evidence-based urban development is necessary to make the global goals a reality. An introduction to both theory and practice, the course gives participants an overview of the opportunity in urban data management and prepares them to bring decision-support solutions to their own city or institution.

The course uses case studies to introduce development frameworks, types of decision support systems and pitfalls to implementation, and data sources and indicators. A hands-on workshop will walk participants through each of the steps of the data management cycle, from identifying specific development challenges to disseminating information, taking a real city as model.

  • Location:
    OpenCities Institute
    7, Institutional Area Phase II, Third Floor
    Vasant Kunj New Delhi, India
  • Max. group size: 25 pax
  • Language: English
  • Fee:
  Standard Early-bird
Professional $600 $510
Student $300 $250
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Expected Outcomes

Participants: This course is designed for participants with a background in urban development or municipal governance: professionals in city government or urban development (private, public or nonprofit), or academics and students (masters and above).

Prerequisites: This is an introductory level course. Participants should bring an open mind, and an eagerness to learn about data-driven urban development. All participants should bring a laptop computer for the workshop component of the course.

Instructors:

Background Reading:

Course Structure: