Mexico City’s government innovation lab (2013–2018) ran 50+ urban experiments including the Mapatón, which crowdmapped 1,500+ informal bus routes serving 14M daily riders with 3,600 participants. It trained 3,000 officials and inspired similar labs across Latin America.
50+
Experiments and participatory processes delivered (2013-2018)
Urban innovation labs inspired across Latin America
Details
Maturity
Discontinued
Promoter
Government of Mexico City (Laboratorio para la Ciudad)
Period
2013–2018
Keywords
public innovation, urban experimentation, civic tech, open government
Context
Laboratorio para la Ciudad (LabCDMX) was established in 2013 by the Government of Mexico City under Mayor Miguel Ángel Mancera, led by Gabriella Gómez-Mont and Clorinda Romo, with a multidisciplinary team of 18 reporting directly to the Mayor's Office until 2018.
Objectives
The lab organised its work around six 'ciudad' workstreams — walkable city, children and play, open governance, participatory budgeting, creative capital and urban diplomacy — aiming to embed civic experimentation directly in city government.
Activities
Over five years the lab delivered more than 50 experiments and participatory processes, most notably Mapaton CDMX, a gamified crowdsourcing app used to map Mexico City's roughly 30,000-vehicle informal bus network, which had never been mapped despite carrying an estimated 14 million rides a day.
Results
Mapaton traced more than 1,500 routes covering approximately 50,000 kilometres with 3,000-3,600 citizen participants over about 400 days; the lab also released 20 open-data databases across 13 government ministries, produced 52 app prototypes, ran 42,700 citizen surveys across 1,474 neighbourhoods, and trained more than 3,000 public officials.
Conclusions
The lab was dismantled in 2018 after a change of administration, with its open-government mandate only partially absorbed by the successor Digital Agency for Public Innovation (ADIP); despite this, its model directly inspired at least seven urban innovation labs across Latin America and is the subject of a Harvard Business School case study.
Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
Multidisciplinary in-house team of 18 (architects, urban geographers, data scientists, coders, journalists, filmmakers, political scientists), Reported directly to the Mayor's Office
Conditions for success
Direct political sponsorship from the Mayor's Office
Multidisciplinary staffing spanning design, data and civic-tech skills
Partnerships with multiple government ministries (13) and organisations such as Code for America
Common failure modes
Institutional continuity depended on a single mayoral administration; the lab was dismantled when the administration changed in 2018
Only partial absorption of its mandate into a successor agency (ADIP) after closure
Where it fits
Governance type
city government (mayor's office)
Scale
large metropolitan city
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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Data sources
Where this practice's information was retrieved from, and when.
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