Home Events 2024 8th International Conference on Big Data and Data Science for Official Statistics


Data Science and SDG Localization

12 June 2024
09:00 - 12:15
Bilbao, Spain - Sala 5A Location

About

SDG localization involves implementing the Sustainable Development Goals at local or sub-national levels, considering the specific context, priorities, and challenges of individual communities. It includes translating the broad SDG targets and indicators into actionable strategies that can be effectively implemented at the grassroots level, often through partnerships among local governments, civil society organizations, and other stakeholders. This approach allows communities to address pressing local issues while contributing to global sustainable development goals.

This session will explore experiences in integrating the SDGs into local communities and their policymaking processes, with a focus on climate change resilience, sustainable transport, and sustainable tourism. It will examine the practical challenges and opportunities of monitoring sustainable development locally, discussing strategies to use data science and innovative digital technologies to integrate statistical and geospatial data for informed decision-making at the local level. Through presentations and panel discussions, the session will also explore how mechanisms like Voluntary Local Reviews (VLRs) can help monitor and promote tangible progress at the grassroots level. Experts will share insights on developing tailored strategies and collaborative partnerships across sectors for effective SDG localization, offering concrete approaches for driving impactful SDG implementation within diverse local contexts.

Day 3 Agenda Download all presentations

Programme

Part 1 - SDG Localization
Moderator: Mr. Luis Gonzalez, UNSD

09:00

Introductory remarks
United Nations Statistics Division

09:05

Keynote Presentation Presentation
Mr. Robert Ndugwa, UN-Habitat

What is SDG Localization? How does this relate to VLRs? What is the policy relevance? What are some examples? What is peculiar about data compilation, data monitoring at local level?

09:25

The Basque Model Presentation
Mr. Asier Aranbarri, Director of Social Innovation, Basque Government

09:40

Presentation
Mr. Rolando Ocampo, Director UN ECLAC Statistics Division

09:55

Presentation Presentation
Mr. Joshua Lizundia, Tecnalia

Part 2 - SDG Localization - Use cases
Moderator: Mr. Luis Gonzalez, UNSD

10:10

Data science and SDG indicators: The case of the National Statistical Institute of Spain Presentation
Mr. Pedro Revilla Novella, INE Spain

10:25

Coffee Break

10:40

Collaboration of the statistical authorities of Spanish autonomous regions on a common framework for homogeneous indicators Presentation
Ms. Maria Victoria Garcia Olea, EUSTAT

10:50

Municipality-Level Indicators: Tailored Approaches and Local Focus Presentation
Mr. Haritz Olaeta Goiriena, EUSTAT

Part 3 - SDG Localization and Data Science

11:00

Video
Mexico's Center for Research in Geospatial Information Sciences

11:05

Panel discussion

SDG monitoring at the local level and how advanced analytics, machine learning, and other innovative data-science methodologies could potentially support effective implementation
Moderator: Mr. Luis Gonzalez, UNSD

  • Mr. Elio Villaseñor, Mexico (INEGI)
  • Mr. Rolando Ocampo, ECLAC
  • Mr. Robert Ndugwa, UN Habitat
  • Mr. José Antonio Chica, Tecnalia
  • Ms. Ángela Abascal, Senior Researcher, Universidad Pública de Navarra