Civic Tech - Technology for Public Good is a structured, practical course covering Civic tech, Open data, Government, Digital services, APIs. It emphasizes explainable methods, checked work and a final outcome that can be reviewed.
Policy & civic techTool stack
D3
Technology marks for Civic Tech - Technology for Public Good, sourced from the CC0-licensed Simple Icons project.
Use Civic tech appropriately in a realistic, bounded task.
Use Open data appropriately in a realistic, bounded task.
Use Government appropriately in a realistic, bounded task.
Use Digital services appropriately in a realistic, bounded task.
Course outline and revision prompts
Module 1
Civic tech: Public problems
Apply Civic tech through stakeholders, institutions, evidence.
Lesson
Key terms
Revision question
Stakeholders with Civic tech
stakeholders, Civic tech, policy
In Civic Tech - Technology for Public Good, which evidence best supports a stakeholders result produced with Civic tech?
Institutions with Open data
institutions, Open data, policy
In Civic Tech - Technology for Public Good, which evidence best supports a institutions result produced with Open data?
Evidence with Government
evidence, Government, policy
In Civic Tech - Technology for Public Good, which evidence best supports a evidence result produced with Government?
Instructional figureDecision matrix
Stakeholders: from context to evidence
Stakeholders connects public need and evidence to a accountable outcome in Civic Tech - Technology for Public Good.
1Public need and evidence
Define the purpose, intended user and Civic tech constraints.
frames
2Stakeholders
Map who decides, implements, benefits, pays and challenges.
produces evidence for
3Accountable outcome
Compare the observed result with a normal case, boundary case and stated limitation.
Takeaway: Stakeholders is credible only when the result can be traced back to its purpose, inputs and constraints. Stakeholders is the decision layer between the starting context and evidence that the result is fit for purpose.
Module 2
Open data: Digital methods
Apply Open data through open data, services, participation.
Lesson
Key terms
Revision question
Open data with Digital services
open data, Digital services, policy
In Civic Tech - Technology for Public Good, which evidence best supports a open data result produced with Digital services?
Services with APIs
services, APIs, policy
In Civic Tech - Technology for Public Good, which evidence best supports a services result produced with APIs?
Participation with Civic tech
participation, Civic tech, policy
In Civic Tech - Technology for Public Good, which evidence best supports a participation result produced with Civic tech?
Instructional figureContinuous cycle
Open Data: from context to evidence
Open Data connects public need and evidence to a accountable outcome in Civic Tech - Technology for Public Good.
1Public need and evidence
Define the purpose, intended user and Digital services constraints.
frames
2Open Data
Check licence, provenance, updates and disclosure risk.
produces evidence for
3Accountable outcome
Compare the observed result with a normal case, boundary case and stated limitation.
Review the evidence, adjust the method, and repeat.
Takeaway: Open Data is credible only when the result can be traced back to its purpose, inputs and constraints. Open Data is the decision layer between the starting context and evidence that the result is fit for purpose.
Module 3
Government: Policy design
Apply Government through options, impact, implementation.
Lesson
Key terms
Revision question
Options with Open data
options, Open data, policy
In Civic Tech - Technology for Public Good, which evidence best supports a options result produced with Open data?
Impact with Government
impact, Government, policy
In Civic Tech - Technology for Public Good, which evidence best supports a impact result produced with Government?
Implementation with Digital services
implementation, Digital services, policy
In Civic Tech - Technology for Public Good, which evidence best supports a implementation result produced with Digital services?
Instructional figureSide-by-side comparison
Options: from context to evidence
Options connects public need and evidence to a accountable outcome in Civic Tech - Technology for Public Good.
1Public need and evidence
Define the purpose, intended user and Open data constraints.
frames
2Options
Include capacity, distribution and a no-action baseline.
produces evidence for
3Accountable outcome
Compare the observed result with a normal case, boundary case and stated limitation.
Takeaway: Options is credible only when the result can be traced back to its purpose, inputs and constraints. Options is the decision layer between the starting context and evidence that the result is fit for purpose.
Module 4
Digital services: Accountability
Apply Digital services through measurement, transparency, maintenance.
Lesson
Key terms
Revision question
Measurement with APIs
measurement, APIs, policy
In Civic Tech - Technology for Public Good, which evidence best supports a measurement result produced with APIs?
Transparency with Civic tech
transparency, Civic tech, policy
In Civic Tech - Technology for Public Good, which evidence best supports a transparency result produced with Civic tech?
Maintenance with Open data
maintenance, Open data, policy
In Civic Tech - Technology for Public Good, which evidence best supports a maintenance result produced with Open data?
Instructional figureContinuous cycle
Measurement: from context to evidence
Measurement connects public need and evidence to a accountable outcome in Civic Tech - Technology for Public Good.
1Public need and evidence
Define the purpose, intended user and APIs constraints.
frames
2Measurement
Avoid vanity indicators and report distribution.
produces evidence for
3Accountable outcome
Compare the observed result with a normal case, boundary case and stated limitation.
Review the evidence, adjust the method, and repeat.
Takeaway: Measurement is credible only when the result can be traced back to its purpose, inputs and constraints. Measurement is the decision layer between the starting context and evidence that the result is fit for purpose.
Course practical outcome
Produce a reviewable Civic Tech - Technology for Public Good project using Civic tech, Open data, Government.
Expected output: A working Civic Tech - Technology for Public Good artefact plus an evidence-based self-review.
Tools: A suitable Civic tech environment, A plain-text decision log, Test data or realistic sample material
Production steps
Define the intended user, outcome and constraints.
Create the smallest complete result using Civic tech.
Test one normal case, one boundary case and one failure response.
Revise the work from the evidence and preserve before-and-after results.
Prepare a concise handover containing method, limitations and next step.
Success criteria
The output matches the stated outcome.
Inputs and decisions are reproducible.
Boundary and failure evidence is included.
Limitations and responsibility considerations are explicit.
Self-review
Can another learner repeat the method?
Did I test a difficult case?
Did I avoid unsupported claims?
Is the next action proportionate to the remaining risk?
Next step: Choose one weakness found during review and improve it before extending the Civic tech scope.
Glossary
Civic tech
A core concept or tool used in Civic Tech - Technology for Public Good; its exact meaning is established in the relevant lesson.
Open data
A core concept or tool used in Civic Tech - Technology for Public Good; its exact meaning is established in the relevant lesson.
Government
A core concept or tool used in Civic Tech - Technology for Public Good; its exact meaning is established in the relevant lesson.
Digital services
A core concept or tool used in Civic Tech - Technology for Public Good; its exact meaning is established in the relevant lesson.
APIs
A core concept or tool used in Civic Tech - Technology for Public Good; its exact meaning is established in the relevant lesson.
This guide is generated from DigiLearn course material. Product versions, regulations and professional standards can change; consult the linked authoritative source before applying version-sensitive guidance.