Smart Cities Strategy Training Course

Participants can frame an urban challenge as an interconnected system with defined service outcomes.

• Systems mapping of actors, assets, flows, incentives and service failures
• Causal loop diagrams identifying feedback, delays and unintended consequences
• Problem statements separating symptoms, root causes and affected populations
• Service blueprints tracing citizen requests through frontline and back-office processes
• Urban metabolism concepts for energy, water, materials and mobility flows
• Outcome measures linking operational performance to resident and business experience

Participants can apply human-centred design methods to shape accessible urban digital services.

• Stakeholder segmentation using needs, access barriers and service dependencies
• Personas grounded in field evidence rather than demographic assumptions
• Journey mapping for residents, businesses, visitors and frontline staff
• Co-design methods involving marginalised groups and community representatives
• Accessibility requirements for digital channels, kiosks and public information
• Equity impact assessment for location, language, income and disability factors

Participants can define governance structures and accountabilities for a cross-city smart programme.

• RACI matrices assigning strategy, delivery, assurance and operational responsibilities
• Steering committee terms of reference for cross-department decisions
• Target operating models connecting policy, service, data and technology teams
• Decision rights for city departments, utilities, agencies and delivery partners
• Programme management offices coordinating dependencies, reporting and risk escalation
• Community accountability mechanisms through consultation, complaints and public reporting

Participants can design data governance arrangements that enable lawful and accountable data use.

• Data inventories recording owners, sources, quality, sensitivity and permitted uses
• Data classification schemes for public, internal, confidential and restricted information
• Stewardship roles covering quality controls, metadata and access approvals
• Data-sharing agreements defining purpose, retention, liability and audit rights
• Privacy impact assessments for sensor data and digital service records
• Open data publication criteria balancing transparency, usefulness and personal privacy

Participants can specify an interoperable architecture for connected urban services and data exchange.

• Reference architectures separating devices, networks, platforms, applications and users
• Application programming interfaces supporting controlled exchange between municipal systems
• Common data models for assets, events, locations and service requests
• Open standards selection using maturity, support, licensing and interoperability criteria
• Master data management for addresses, parcels, facilities and customer identities
• Architecture principles preventing proprietary lock-in and duplicated data platforms

Participants can assess connected-asset use cases and define practical deployment requirements.

• Internet of Things use cases for lighting, waste, water and traffic
• Sensor selection based on accuracy, durability, calibration and maintenance needs
• Connectivity choices comparing fibre, cellular, LoRaWAN and mesh networks
• Edge computing decisions for latency, resilience and bandwidth constraints
• Asset registers linking device identifiers, locations, ownership and maintenance histories
• Device lifecycle controls covering installation, patching, replacement and retirement

Participants can define suitable digital-twin use cases and validate their data and operating needs.

• Digital twin types: descriptive, predictive and prescriptive urban models
• Use-case selection for flood response, traffic management and asset maintenance
• Geospatial data foundations using parcels, networks, terrain and building models
• Model validation against observed conditions, historical records and field inspections
• Simulation assumptions documented for transparency, reproducibility and decision confidence
• Operating costs for model updates, data feeds and specialist support

Participants can evaluate artificial intelligence proposals for public benefit, risk and operational readiness.

• Artificial intelligence use cases for inspection, forecasting and service triage
• Problem suitability tests before selecting machine learning approaches
• Training data quality checks for completeness, bias and representativeness
• Human oversight models for consequential public-service decisions
• Model performance measures including precision, recall, drift and error rates
• Algorithmic impact assessments documenting harms, safeguards and accountability

Participants can identify cybersecurity controls for connected city systems and critical services.

• Threat modelling for sensors, operational technology, platforms and user accounts
• Zero trust principles for identity, device access and network segmentation
• Security requirements for procurement, integration, monitoring and incident notification
• Incident response playbooks covering detection, containment, recovery and public communication
• Business continuity planning for digital outages affecting essential city services
• Third-party assurance reviews for cloud providers and managed service suppliers

Participants can identify digital interventions that strengthen climate resilience and resource efficiency.

• Climate risk screening for heat, flooding, drought and infrastructure disruption
• Early warning systems combining forecasts, sensors and community communication channels
• Smart water management using pressure monitoring, leakage analytics and demand data
• Energy management dashboards for municipal buildings, streetlights and distributed assets
• Nature-based solutions monitored through geospatial imagery and field observations
• Resilience indicators connecting preparedness, recovery time and service continuity

Participants can assess mobility technologies against accessibility, safety and network performance goals.

• Mobility-as-a-service models integrating fares, routes, booking and payment
• Traffic signal optimisation using demand data and safety constraints
• Curb management policies for deliveries, parking, ride-hailing and micromobility
• Active travel data collection through counts, surveys and geospatial analysis
• Accessibility audits for routes, stops, crossings and digital travel information
• Public realm sensing governed by proportionality, purpose and retention rules

Participants can design digital public services that improve access without excluding offline users.

• Omnichannel service design combining digital, telephone, mobile and in-person access
• Life-event service models for permits, benefits, registration and complaints
• Digital identity considerations for authentication, consent and account recovery
• Participatory budgeting platforms with transparent rules and audit trails
• Citizen reporting tools linked to case management and service-level agreements
• Digital inclusion plans addressing devices, connectivity, skills and assisted access

Participants can prepare an investment case that accounts for full lifecycle costs and public benefits.

• Total cost of ownership covering capital, licences, staffing and replacement
• Benefits maps connecting interventions, outputs, outcomes and financial effects
• Cost-benefit analysis including externalities, distributional impacts and uncertainty
• Funding options: municipal budgets, grants, concessions and public-private partnerships
• Sensitivity analysis testing adoption, savings, revenue and maintenance assumptions
• Benefits-realisation plans assigning owners, baselines, targets and review dates

Participants can develop procurement requirements that protect public interests and encourage supplier accountability.

• Outcome-based specifications defining service levels, user needs and performance measures
• Market engagement methods gathering supplier insight without compromising fairness
• Evaluation scorecards balancing quality, price, interoperability and social value
• Contract clauses for data ownership, portability, security and exit arrangements
• Acceptance criteria testing functionality, accessibility, performance and documentation
• Supplier governance through milestones, service reviews, audits and remedies

Participants can prioritise smart city initiatives and sequence them into an achievable delivery roadmap.

• Portfolio scoring using public value, feasibility, urgency and strategic alignment
• Dependency mapping for policy approvals, data foundations, funding and skills
• Quick-win criteria distinguishing useful early delivery from superficial pilots
• Roadmaps sequencing discovery, procurement, implementation, scale and operational handover
• Capacity planning for internal teams, partners, suppliers and specialist advisers
• Risk registers linking assumptions, triggers, mitigations and accountable owners

Participants can create a measurement framework for service performance, equity and strategic outcomes.

• Theory of change linking activities, outputs, outcomes and longer-term impacts
• Key performance indicators with definitions, baselines, targets and data sources
• Balanced scorecards covering service quality, finance, equity and resilience
• Data quality controls for completeness, timeliness, accuracy and traceability
• Public dashboards designed for clarity, context, accessibility and responsible disclosure
• Evaluation plans using before-and-after comparisons and contribution analysis

Participants can plan adoption activities that embed new digital services into daily operations.

• Stakeholder impact analysis identifying changed roles, incentives and resistance
• Change readiness assessments covering sponsorship, capacity, communication and training
• Service transition plans moving pilots into funded operational ownership
• Workforce capability plans for data literacy, field tools and supervision
• Communication plans explaining service changes, safeguards and resident benefits
• Adoption metrics tracking uptake, satisfaction, workarounds and service outcomes

Participants can apply ethical decision criteria to surveillance, automation and data-driven urban interventions.

• Human rights screening for surveillance, profiling and automated service decisions
• Proportionality tests balancing stated benefits against privacy and civil liberties
• Ethics review panels involving legal, technical, community and service representatives
• Transparency notices explaining data collection, purpose, sharing and redress routes
• Bias testing for automated systems affecting access, enforcement and resource allocation
• Responsible innovation checkpoints before piloting, scaling and renewing technology contracts

Participants can build, review and present a complete smart city strategy pack for a defined urban service challenge.

• Strategic problem framing supported by evidence, stakeholder needs and baseline measures
• Target operating model defining governance, ownership, capabilities and decision rights
• Prioritised initiative portfolio assessed against value, feasibility, equity and risk
• Data, architecture and cybersecurity principles translated into delivery requirements
• Phased roadmap aligning funding, procurement, implementation and operational handover
• Executive presentation defending benefits, costs, controls and performance measures