Using Indices to Track Smart Urban Development

A multi-dimensional index is a useful tool to understand aggregate changes across socioeconomic indicators over time or to make comparisons between geographic areas, allowing decision-makers to target policies and resources where they are most needed. This week-long intensive training prepares urban practitioners to calculate indices from raw data, in order to better measure and understand urban development.

Participants will be given a broad exposure to existing indices and the logic that governs them, using case studies to understand their application in context. They will review key principles of evidence-based decision-making, including indicator selection and data collection, as well as the values that shape the global data ecosystem such as standards for open data and data / metadata exchange.

The core of the course will be a multi-day workshop covering the entire data lifecycle: from data collection, exchange and standardization, to loading datasets into a centralized repository and using a calculation engine to compute a multi-dimensional index and its component parts. Participants will leave the course with expertise in using open-source tools for data management, prepared to turn data into actionable intelligence.

  • Location:
    OpenCities Institute
    7, Institutional Area Phase II, Third Floor
    Vasant Kunj, New Delhi, India
  • Max Group Size: 10 pax
  • Language: English
  • Fee:
  Standard Early-bird
Professional $1800 $1530
Student $900 $765
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Expected Outcomes

Participants / prerequisites: This course is designed for analysts, researchers and quantitative experts with practical experience in urban development or city governance. Participants are required to bring their own laptop computer.

Instructors:

Background Reading:

Course syllabus: