Data4HumanRights develops together with JEI and Community Mappers training materials to professionalize the training of community data collectors. We are presently developing a set of 28 short training units.
Dutch Ministry of Foreign Affairs - Nuffic
The primary objectives of these training units are
(1) to capacitate community-based organizations with a larger and more skilled/knowledgeable group of community data collectors and mappers,
(2) to allow the collection and documentation of human rights-related data at large scale in a systematic manner, and
(3) to further develop open-source training materials for subsequent trainings.
The Data4HumanRights training program will be modularized into ½ to 1 day units to cover a range of reasonably simple, free, common tools and methods used in research and practice (e.g., slum profiling, documentation of evictions, or rapid food needs assessment during a time of crisis such as COVID-19 lockdown).
https://www.data4humanrights.net/
The IDEAMAPS Network has produced an evolving family of projects with local teams in cities across the world.Our family of projects develop datasets of urban deprivation and assets (IDEAMAP Sudan, SLUMAP, IDEAtlas, and the IDEAMAPS Data Ecosystem), and foster capacity among stakeholders to use data for decision-making (Data4HumanRights, IDEAMAP Sudan).
· Buenos Aires, Argentina
· Lagos, Nigeria
· Nairobi, Kenya
· Dhaka, Bangladesh
with more cities to be included as the project progresses.
DEPRIMAP - Unraveling the dynamics of deprived urban areas in the Majority World using AI and Earth Observation to foster evidence-based sustainable planning
DEPRIMAP aims to map, model, and analyze deprived urban areas (DUAs) in the Majority World using advanced geospatial data and machine learning techniques. The project focuses on understanding the socio-economic vulnerabilities and environmental risks faced by DUAs contributing to more resilient and sustainable urban planning.
Mexico City, Mexico - Medellín, Colombia - Salvador, Brazil - Buenos Aires, Argentina - Lagos, Nigeria - Nairobi, Kenya - Mumbai, India - Jakarta, Indonesia
The primary objective of IDEAtlas is to develop, implement, validate and showcase advanced AI-based methods to automatically map and characterize the spatial extent of slums from Earth Observation (EO) data.
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