Connective Cities at the World Urban Forum 13 in Baku

At the 13th World Urban Forum in Baku, the German Association of Cities and Connective Cities hosted an interactive Academy Session on “AI-supported Visualisation for Affordable Housing and Informal Settlement Upgrading”. The session explored how AI-supported visual tools can help municipalities discuss challenges related to affordable housing, neighbourhood development and informal settlement upgrading in a more concrete and accessible way.

The session built on the work of the Connective Cities Working Group on Sustainable and Affordable Housing. It was deliberately designed not as a technology demonstration, but as a practice-oriented municipal learning format based on real municipal cases. The aim was to explore how visualisation can make complex planning questions more understandable and open new spaces for dialogue between municipalities, technical departments, decision-makers and local stakeholders.

The process started from real images provided from municipal contexts. With the support of CoPlan AI, these images were translated into possible development scenarios. The AI-generated visuals were not intended as final plans. Instead, they served as discussion inputs. They allowed participants to discuss housing quality, density, public space, greenery, climate adaptation, mobility, social infrastructure and possible implementation steps in a more tangible way.

A central added value of the format was the joint work around the images. The visualisations made abstract planning questions visible and enabled a creative, yet critical discussion: What future images are being created? Which assumptions lie behind them? Which opportunities and risks become visible? Which social, spatial, environmental, institutional and financial conditions would need to be assessed before an image can become a realistic planning step?

The session was moderated by Prof. Hilmar von Lojewski, German Association of Cities. Jelena Karamatijevic, Connective Cities / GIZ, provided the conceptual framing and introduced the Connective Cities perspective on municipal practice and peer learning. CoPlan AI, represented by Damiano Cerrone and Sampo Ruoppila, supported the participatory AI-based visualisation process.

Municipal case contributions and reflections came from Nairobi, Huye, Mariental, Hebron, Berlin and the Urban Development Fund in Egypt. Contributors included Godfrey Ngugi, Richard Ndicunguye, Sunday Haimbodi, Husam Shweiki, Lars Loebner and Dr. Marwa Ahmed. They reflected on the visual scenarios from the perspective of local planning realities, implementation constraints and possible next steps.

From Berlin, Lars Loebner from the Senate Department for Urban Development, Building and Housing contributed an important perspective on the role of images in public debates on housing and neighbourhood development. Visual representations can strongly influence how new housing is perceived. Used responsibly, they can help communicate not only abstract plans, but also positive and realistic images of liveable, socially mixed and green neighbourhoods.

A methodological input was provided by Ruvi Y. Suárez Subirana, GIZ / ProUrbano, Santa Cruz, Bolivia. Under the title “From AI Visualisation to Scenario Assessment”, she showed how AI-supported visualisation can be linked to scenario thinking and impact reflection. Her contribution complemented the discussion by underlining that AI images are not plans. Their value emerges when they are used to reflect jointly on impacts, trade-offs and possible implementation pathways.

The discussion showed that AI-supported visualisation can be a useful tool for making planning options more accessible and supporting joint learning. At the same time, participants underlined that visualisations must be used responsibly. They can create expectations and therefore cannot replace planning, participation, feasibility assessments, cost estimation or political decision-making.

From a Connective Cities perspective, the Academy Session provides an important starting point for a deeper exchange on affordable housing, informal settlement upgrading and implementation-oriented municipal project ideas. The added value lies not in the technology itself, but in its potential to strengthen municipal learning processes and help translate visualisation and mapping into realistic, inclusive and financeable urban development pathways.

Visual documentation: Current state / after AI-assisted visualisation

The following visualisations were developed as discussion inputs during the WUF13 Academy Session. They use real municipal images as starting points and AI-generated scenarios to support dialogue on affordable housing, informal settlement upgrading, public space, climate resilience and implementation pathways. The images are not final plans.
Source: Connective Cities, generiert mit CoPlan AI.

Ruanda, Huye — suburban affordable housing area

From serviced land to a liveable affordable housing neighbourhood with public space, shade and community facilities.

Kenia, Nairobi County — Mji wa Huruma

From an informal settlement to upgrading, safer public space and climate-sensitive housing.

Namibia, Mariental — incremental housing approach

From incremental housing conditions to a safer street environment with basic services, shade and walkability.

Palestine, Hebron — affordable housing in context

From an existing street section to a scenario with mixed-use edges, greenery and pedestrian-oriented housing.

Germany, Berlin — new neighbourhood development

From open land along a road to a dense, green and mixed-use housing scenario

Egypt, Sharqia — urban infill and affordable housing

From underused urban land to a compact housing scenario with shaded courtyards and public space.