
ONLINE BOOTCAMP – FROM 30TH JUNE
AI for Civic Data
Building reproducible, AI-assisted data workflows for the non-profit and civil society organisations.
- Master AI-assisted data workflows
- Build reproducible civic data projects
- Work with real NGO & open datasets
- Apply AI critically and responsibly
20h of live online sessions
Recordings and support materials
Hands-on with real civic data

Capstone Project with individualized feedback
Build AI-assisted actionable, reproducible, and trusted civic data projects
Learn how to use agentic AI tools to accelerate the entire lifecycle of a civic data project – from sourcing and verification to analysis and communication – while maintaining the methodological rigour, transparency, and accountability that professional data work requires.
You will leave with practical workflows, reusable templates, and a structured approach you can apply immediately to your own projects.

COMPETENCE FRAMEWORK
Build AI-assisted data workflows
Use agentic AI tools to support the full lifecycle of a civic data project — from sourcing and cleaning data to analysis and presentation in real workflows.
Work with real civic datasets
Practice on realistic NGO and open-data scenarios using reproducible workflows grounded in real-world cooperation and public-interest data.
Transparent and reproducible work
Develop disciplined methods for tracking sources, reviewing AI outputs, and building transparent workflows that others can verify, reuse, and audit.
Use AI critically and responsibly
Identify hallucinations, bias, and weak evidence, and learn how to integrate AI into civic and data work with methodological rigor, accountability, and ethical awareness.
This bootcamp is designed for
Data-adjacent professionals in CSOs: people who handle data as part of their job, but for whom it is not the whole of their job.
It’s important that you are comfortable with spreadsheets, have seen data projects before and have used LLMs casually; but no coding skills is required!
- M&E officers & programme evaluators
- Data communicators & storytellers
- Independent consultants
- Advocacy & campaigns staff
- Staff of open-data platforms
How the bootcamp works
The bootcamp is delivered through live online sessions designed to mirror a real civic data workflow — from framing a problem to producing a reproducible output.
Live online practical sessions on Zoom
If you can’t follow it live, you can watch the recording again.
Practice-driven learning
You work on real datasets and produce tangible outputs at every stage of the data pipeline.
Real-time interaction with trainer and peers
To stress-test your approach in real time and improve your methods.
Final applied project with mentoring
You complete a real civic data project from your own context, supported by two weekly check-ins before final submission.

Read the full Program
Discover all the details of the Bootcamp
The Bootcamp at a glance
USEFUL INFORMATION
- Onboarding Workshop: 30th June
- 5 sessions over 2 weeks
- On Friday and Saturday
- 20 h. total of live online lessons
- Max 20 participants
- Real NGO & open datasets
- 1:1 individualised final-project feedback
- Final Certificate and Portfolio

Onboarding Session
Getting set up
30 June (Tuesday)
from 17:00 to 19:00 CET
A live-assisted setup before the bootcamp proper. Approximatly two hours of guided work to make sure every participant lands in Session 1 with a working environment.
You’ll also align on tools, expectations, and the collaborative workflow used throughout the course.

Session 1
Setting up the project
03 July (Friday)
from 14:00 to 18:00 CET
Introduction to agentic AI and the ethical lens. Walk-through of a real civic data brief — participants take a first pass at research questions and outline, and run their first agent interactions in a confirmed environment.
You begin shaping your first end-to-end civic data workflow, from question to execution.
*Micro breaks throughout the session.

Session 2
Sourcing real data, responsibly
04 July (Saturday)
from 10:00 to 17:30* CET
Data discovery, sourcing from open data platforms (including Open Cooperazione platform where relevant), API extraction, structured scraping, and task decomposition with the agent. Heavy emphasis on documentation discipline.
You learn how to turn messy, distributed data sources into structured and usable inputs for analysis.
*Lunch Break from 13:00 to 14:30 plus micro breaks throughout the session

Session 3
Building trust in your dataset
10 July (Friday)
from 14:00 to 18:00 CET
Collaborative review using Google Sheets. Automated cleaning versus human-in-the-loop review. This is the session where the critical verification habits — the ones that make AI-assisted work defensible — are drilled.
You actively stress-test your data and learn how to detect errors, bias, and hallucinations.
*Micro breaks throughout the session.

Session 4
From insight to publishable output
11 July (Friday)
from 10:00 to 17:30* CET
Turning research questions into analysis questions; extracting and stress-testing insights; choosing the best way to present your data. Closing block on reproducibility, hand-off to colleagues, ethics wrap-up, and forward-looking reflection.
You move from analysis to communication, producing outputs that are clear, transparent, and reusable.
*Lunch Break from 13:00 to 14:30 plus micro breaks throughout the session

THE CAPSTONE
Mentored final project
Within two weeks of the final session
Participants submit a short, reproducible data-driven deliverable, applying the bootcamp workflow end-to-end to a brief drawn from their real work.
The project is supported through group check-ins and individual feedback, ensuring real-world application beyond the course.
*Micro breaks throughout the session.
Why AI matters for civic data work
AI is changing how organisations collect, analyse, and communicate data – especially in the public interest sector.
For NGOs, civic organisations, and international cooperation actors, AI tools can dramatically accelerate research, analysis, and reporting workflows. But speed alone is not enough: civic data work requires transparency, verification, and accountability.
This bootcamp helps practitioners use AI in a practical and responsible way, building workflows that are not only faster, but also reproducible, trustworthy, and grounded in real-world data practice.

Our price: Ethical and Sustainable
One Standard fee: Accessibille to All
A fair price, designed to ensure everyone has access to high-quality training.
You can register directly for the course with the standard fee by clicking the “Buy” button below and completing the payment on the platform. If you require an invoice, please remember to specify this at the time of purchase.
580€ 480€+ IVA
Early Bird Price valid until 24th June
Additional Saving
Ngo & multi-seat registrations: save 20% when enrolling 2 or more participants from the same organisation.
Email us with the name of your organisation and the list of participants. We will send you a dedicated discount code to use at checkout for an additional 20% reduction.
Get an additional 20% discount
The bootcamp will be confirmed once at least 15 participants have enrolled.
Lecturer

Cédric Lombion
Through his work over the past 10 years, Cedric has designed, managed and fundraised for global open data and data literacy projects, navigating both high-level strategic planning and on-the-ground work with civil society organisations, governments, journalists and citizens. In the process, his and his teams’ work have reached thousands of people and hundreds of organisations across sectors as varied as government transparency, the extractives industry, environmental justice, public health and investigative journalism. Speaking English, French and Spanish, he has managed remote teams spread over multiple continents.
Following his role as the data and innovation Lead at the Open Knowledge Foundation he started Civic Literacy Initiative, a nonprofit consultancy aiming to move forward best practices
around data and AI capacity-building.
linkedin.com/in/cedriclombion
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Capable and helpful teachers
The course topics were presented clearly, comprehensively, and with plenty of examples. The teachers were very capable and helpful!
Federica
A beautiful experience
Excellent teachers!
I wasn’t familiar with CRM systems and cloud databases, which are very useful for my work.
Chiara
Interesting and stimulating course
The explanations were very clear. The course instructors were kind, knowledgeable, and always available to provide clarification.
Adelya
