Public Sector Innovation and Smart Cities Training Course

Participants can assess smart city concepts as interconnected urban service systems rather than technology projects.

• Smart city domains spanning mobility, utilities, safety, health and public realm
• Urban systems mapping identifies interdependencies, feedback loops and institutional boundaries
• Digital public infrastructure distinguished from individual applications and devices
• Place-based outcomes linked to neighbourhood conditions and resident experience
• City operating models compared across centralised, federated and partnership arrangements
• Technology solutionism tested against service, governance and maintenance requirements

Participants can frame a priority urban or public service problem for evidence-based intervention design.

• Five Whys analysis traces operational symptoms to underlying service failures
• Issue trees separate demand, supply, policy and capability constraints
• PESTLE analysis identifies external forces affecting proposed public interventions
• Evidence plans specify administrative data, field observation and user research
• Problem prioritisation matrix scores scale, urgency, equity and tractability
• Drafting decision-ready challenge statements with boundaries and measurable outcomes

Participants can map stakeholders, incentives and decision rights affecting innovation delivery.

• Stakeholder mapping identifies affected groups, delivery actors and decision makers
• Power-interest grids inform engagement priorities and escalation routes
• Political economy analysis examines incentives, rents, resistance and institutional interests
• Resident groups segmented by service use, vulnerability and digital access
• RACI matrices assign accountable owners for cross-agency programme decisions
• Engagement plans sequence sponsorship, consultation, co-design and feedback channels

Participants can design service improvements from resident needs, behaviours and access barriers.

• User research plans combine interviews, observation, surveys and service data
• Personas represent distinct needs, contexts, motivations and access constraints
• Service journeys expose pain points, handoffs, delays and exclusion risks
• Jobs to Be Done clarifies functional, social and emotional needs
• Co-design methods involve residents, frontline staff and community organisations
• Accessibility requirements address language, disability, literacy and channel choice

Participants can translate a proposed service into frontstage, backstage and support processes.

• Service blueprints connect resident touchpoints with internal delivery processes
• Frontstage and backstage activities reveal hidden operational dependencies
• Failure demand identifies avoidable contacts caused by service design defects
• Channel shift analysis tests digital, assisted digital and face-to-face options
• Standard operating procedures define handoffs, exceptions and escalation thresholds
• Workforce impact assessments identify new roles, skills and workload changes

Participants can manage a balanced innovation portfolio from discovery through scale-up.

• Innovation lifecycle stages cover discovery, prototyping, piloting, scaling and adoption
• Design thinking separates divergent exploration from convergent decision making
• Portfolio matrices balance incremental improvements, adjacent opportunities and transformational bets
• Stage-gate reviews set evidence thresholds for funding and continuation
• Innovation accounting tracks learning milestones alongside conventional delivery measures
• Stop, pivot or persevere decisions documented through explicit evidence criteria

Participants can evaluate smart city use cases using structured public value and feasibility criteria.

• Use case canvases define users, problem, intervention, data and benefits
• IoT applications assessed for sensing purpose, connectivity, maintenance and ownership
• Urban mobility cases compare traffic management, parking, transit and active travel
• Climate resilience cases address flooding, heat, waste and energy management
• Feasibility scoring considers legal authority, capability, cost, data and infrastructure
• Equity screening identifies unequal access, burden and potential exclusion effects

Participants can establish practical data governance for a public innovation or smart city initiative.

• Data inventories record datasets, sources, owners, quality and permitted uses
• Data classification distinguishes personal, sensitive, confidential and open information
• Data stewardship roles establish accountability for quality, access and retention
• Purpose limitation links collection and processing to defined service objectives
• Data-sharing agreements specify roles, safeguards, permitted uses and review periods
• Privacy impact assessments identify risks before new data processing begins

Participants can specify interoperability needs and architectural choices for connected public services.

• Interoperability layers cover legal, organisational, semantic and technical requirements
• Open standards reduce supplier dependency and improve system exchange
• Application programming interfaces support controlled data exchange between public systems
• Reference architectures distinguish shared platforms from service-specific components
• Master data management establishes consistent identifiers for people, places and assets
• Cybersecurity requirements address authentication, access control, monitoring and incident response

Participants can identify and mitigate ethical, inclusion and rights risks in technology-enabled services.

• Algorithmic impact assessments examine fairness, explainability, contestability and accountability
• Bias testing checks training data, proxy variables and differential outcomes
• Digital inclusion assessments consider connectivity, devices, skills and trust
• Human oversight points define decisions requiring review or intervention
• Redress mechanisms provide accessible routes for complaints and correction
• Rights-based design applies proportionality, necessity and least-intrusive data use

Participants can design a controlled pilot that generates credible implementation and outcome evidence.

• Pilot charters define hypotheses, target population, scope and decision criteria
• Minimum viable services test critical assumptions before full-scale investment
• Logic models connect pilot inputs, activities, outputs and expected outcomes
• Comparison groups strengthen claims about intervention effects and attribution
• Rapid feedback loops combine frontline observations, user feedback and performance data
• Pilot exit criteria determine scale, redesign, pause or closure decisions

Participants can select procurement and partnership models suited to innovation and smart city delivery.

• Outcome-based specifications describe service results rather than prescribed technical solutions
• Market engagement tests supplier capacity, risks and delivery assumptions
• Competitive dialogue suits complex requirements requiring supplier-informed solution development
• Innovation partnerships structure collaborative development, testing and subsequent procurement
• Evaluation matrices weight quality, social value, lifecycle cost and data safeguards
• Contract clauses address interoperability, data rights, exit and supplier transition

Participants can prepare a proportionate business case and financing approach for an innovation initiative.

• Five Case Model structures strategic, economic, commercial, financial and management cases
• Options appraisal compares do nothing, improve existing and new service options
• Whole-life costing includes acquisition, integration, operations, maintenance and renewal
• Cost-benefit analysis quantifies monetisable benefits and records non-monetary outcomes
• Funding models compare municipal budgets, grants, concessional finance and partnerships
• Sensitivity analysis tests affordability under changing demand, costs and benefit assumptions

Participants can establish governance, controls and accountability for multi-stakeholder innovation programmes.

• Programme boards define sponsorship, decision rights, oversight and escalation procedures
• Benefits owners accept accountability for operational outcomes after implementation
• Risk registers assess probability, impact, controls, owners and review dates
• Dependency mapping identifies linked projects, approvals, suppliers and infrastructure requirements
• Delivery roadmaps sequence policy, service, technology, workforce and communications activities
• Change control procedures manage scope, budget, timeline and requirement amendments

Participants can measure innovation results and manage benefits through implementation and scale-up.

• Benefits maps connect interventions with outputs, outcomes and measurable value
• Indicator dictionaries define formulae, sources, frequency, owner and disaggregation
• Baselines establish pre-intervention service performance and user experience conditions
• Balanced scorecards combine service, equity, financial, operational and trust measures
• Dashboards distinguish leading indicators from lagging outcome measures
• Benefits realisation plans assign owners, review cycles and corrective actions

Participants can plan how a successful pilot becomes an adopted and sustainable public service.

• Scale readiness assessments test evidence, capacity, financing, legitimacy and infrastructure
• Replication plans identify core components and context-specific adaptations
• Change impact analysis maps effects on staff, partners, residents and procedures
• ADKAR model addresses awareness, desire, knowledge, ability and reinforcement
• Operating budget transitions secure funding beyond temporary project resources
• Knowledge management captures lessons, standards, playbooks and implementation decisions

Participants can build, review and present a complete Smart City Innovation Project Pack for sponsor approval.

• Project pack integrates challenge statement, user evidence and public value case
• Service blueprint specifies target experience, operating processes and accountable owners
• Data governance plan records datasets, safeguards, stewardship and sharing controls
• Pilot design defines hypotheses, milestones, measures, budget and decision gates
• Governance roadmap sets procurement route, risks, dependencies and scale conditions
• Executive presentation communicates recommendation, trade-offs, benefits and immediate decisions