Introductory Workshops

Introducing Big Data for Sustainable Development to non-technical teams


Introduction to Big Data for
Sustainable Development


This workshop will provide participants with introductory tools and methods to engage with data and understand data in the context of sustainable development. We aim to better equip attendees with an understanding of the field, methods, opportunities and challenges of Big Data and Artificial Intelligence (AI). After this workshop, the goal is that participants can work with data scientists and other stakeholders to design and execute data-driven interventions as practitioners of sustainable development, but also as private citizens.

“It's a fantastic opportunity to bring together different stakeholders from different statistics offices, from UN offices, from civil society and others to share and brainstorm ideas about how big data can be used"
John Doe
Computational Engineer from IBGE Brazil
Target audience

Designed for professionals who work in varied topics related to sustainable development, this introductory workshop is targeted towards participants who have very little, or no experience with Big Data in their work. 

Thematic Focus

We offer a thematic focus, which allows the audience to centre on specific issues of sustainable development directly related to their work, such as Inequalities and Discriminations, Migration and Displacement, Violence and Crime, Sustainable Futures, Human AI and Society, and Sustainable Development as a general topic.

A technical component can be included according to the necessities of your team.


We provide on-site training of 12 to 18 teaching hours distributed between 2 and 3 days.

These are delivered by a team of three training specialists and, depending on the organizational necessities, many other invited experts.


Context & Concepts

1. Decode key terms and buzzwords in the Big Data and development landscape
2. Discuss Big Data within the broader political context of the post-2015 sustainable development framework and data for social good
3. Translate development problems into specific data objectives

Methods & Tools

4. Understand existing methods and tools used to leverage Big Data
5. Assess data representativeness, biases, and insights within Big Data-driven approaches and methods
6. Identify applicable tools by assessing the value add of Big Data for specific development problems

Design & Strategy

7. Identify individual and organizational objectives towards a Big Data strategy
8. Understand how to operationalize Big Data as projects, partnerships, and policies
9. Recognize individual and organizational next steps towards Big Data applications

Ethics & Engagement

10. Identify models for prioritizing inclusivity, transparency and accountability in data public-private-people partnerships
11. Articulate and assess ethical, privacy, and legal implications of Big Data applications
12. Understand key principles for effective data communication and storytelling



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