News
HOT and iLab Liberia Exploring the Potential of Machine Learning to Augment Human Mappers in Monrovia
HOT worked with iLab Liberia in Monrovia to test the potential of machine learning algorithms to automate repetitive mapping tasks and highlight areas in need of updating to maximize the impact of human mappers.
How we measure the effects of AI-assisted mapping
Over the past two years, HOT has taken a leadership role in exploring and facilitating the application of the latest advances in artificial intelligence.
HOT Indonesia’s COVID-19 online training platform
On-site training is a regular activity for HOT Indonesia with staff traveling across the nation to conduct training sessions
Shifting to virtual: adapting HOT’s global work for COVID-19
Although COVID-19 brings a number of obvious challenges to daily life for people across the world, the crisis has demonstrated the widespread desire to help by mapping to support COVID-19 responders worldwide.
Mapping Energy Saving Solutions in One of the Largest Refugee Settlements in Africa
In February 2020, HOT with support from the Response Innovation Lab in Uganda, carried out an extensive mapping exercise of all energy-saving solutions retail shops in Bidibidi settlement to better understand the existing market and inform the improvement of access to quality energy-saving products amongst the refugee population.
Mapping in the Times of COVID-19 and How You Can Help
As the world takes action against the COVID-19 outbreak, here is how you can help.
Understanding Hazards, Exposure, and Vulnerability in northwestern Uganda
In collaboration with United Nations’ Development Program (UNDP) and the Ugandan Office of the Prime Minister, HOT developed the first-ever spatially-focused Risk Atlas of Arua District, containing maps, granular data, and analyses of the existing hazards, exposure, and vulnerabilities to communities in northwestern Uganda.
Haiti 10 Years Later: Growth of a Humanitarian Mapping Community
Ten years ago this week, on 12 January 2010, Haiti experienced a devastating earthquake - one of the worst disasters in recent history. Within...
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How Maps can Improve Lives
As Humanitarian OpenStreetMap Team (HOT) supports local communities fundraising to put themselves on the map, here are the ways they will be using maps to improve lives!
What we Learnt from Mapping African Megacity Dar es Salaam
Since the project kicked-off in 2015, Ramani Huria, funded by the World Bank and implemented by Humanitarian OpenStreetMap Team (HOT), has managed to map three-quarters of one of Africa’s megacities, Dar es Salaam. As a city that is particularly vulnerable to floods, the team focused their mapping on flood-prone areas, especially in informal settlements where vulnerable populations live.
HOT launches Microgrants 2020: Funding for OpenStreetMap Communities
Is your local OpenStreetMap community mapping to improve lives? We could have a microgrant for you! Pitch your project and be in for a chance to receive funding as part of HOT’s annual fundraising campaign to support global OpenStreetMap communities.
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Using Open Source Tools to Solve Routing Issues for Solid Waste Collection in Dar Es Salaam
One of the biggest difficulties in establishing an effective and efficient waste management collection and transportation system in Dar es Salaam is how long it takes to travel to Pugu dumpsite, the only officially designated solid waste dump in the city, and the best route to use.
Using machine learning to identify the effort and complexity of mapping areas
Testing more machine learning integrations with the Tasking Manager
Mapping with Indigenous Communities for Disaster Relief and Preparedness
Melanie Chabot is a GIS Coordinator with the Canadian Red Cross. She leads the Missing Maps pilot project in Canada which aims to map areas important to indigenous communities and to assist with disaster preparedness and response in these areas.
How We're Making it Easier for Humanitarians to Use OpenStreetMap Data
At HOT, we’re constantly looking to improve our tools to address user needs and help OpenStreetMap data be delivered in the right format at the right time. In July we started a new round of software development on the Export Tool to continue to help humanitarian partners get the data they need. We continue to update and develop the Export Tool as we attempt to provide our users with the best possible experience and answer a wider variety of their needs.
The Machine Learning Enabler
The Humanitarian OpenStreetMap Team is partnering with Development Seed, Facebook, and Microsoft to build AI-based mapping tools to empower mappers around the world. We...
