This was the first of three events in support of the Call to action on sustainable urbanisation in the Commonwealth.
UN Habitat suggests that 65% of the 169 targets underpinning the 17 Sustainable Development Goals are linked to territorial and urban development. This event brought together policymakers, academics, and practitioners to consider:
- The importance of building an evidence base in fast-growing cities
- The kind of data and evidence that we need
- How we can work together more effectively to help build a strong evidence base for effective policy making and action on the ground to help deliver sustainable urbanisation, leaving no one and no place behind.
This event was attended by over 129 participants from over 34 countries.
Opening and closing remarks: Peter Oborn, Senior Vice President, Commonwealth Association of Architects
Panellists:
- Astrid Haas, Urban Economist, African Development Bank, Uganda
- Omad Masud, CEO, The Urban Unit, Pakistan
- Matthew Adendorff, Data Lead, Open Cities Lab, South Africa
Chair: Victoria Delbridge, Head of Cities That Work, IGC
Key messages
- An evidence base is important to tackle policymakers’ priority challenges – given the resource and climate constraints cities face. We need to address urban challenges with more urgency than before, and leveraging data and evidence enables us to progress faster and with greater accuracy.
- Data should be used to solve existing problems, rather than prioritising data first and retrospectively identifying problems that it can solve.
- Data often exists but not in a usable format – we need to improve the storage, accessibility, quality and frequency of data for policy decisions.
- It is important to create an interface between domain expertise and data – local officials provide domain expertise, such as industrial and city requirements, and data experts can ensure they use spatial data in a way relevant to the needs of officials.
- A successful common evidence base between city stakeholders requires a consolidated, needs-driven structuring of information to achieve policymaking objectives. This requires common data principles (objectives, sovereignty of data, sharing mechanisms), gender and social inclusion focus (ensuring all residents are included), understanding of governance frameworks, and data taxonomy (structures, reporting) to ensure governance requirements are met.
