Communicating Operational Status of HOT Tools
Sharing up to date information about the current status and operation of all our tools through a simple status dashboard.
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.
A map editor for the Tasking Manager
The mappers of the HOT Tasking Manager are our driving force to generate vital data for humanitarian response. Over the past six months, we...
Announcing the Winners of #map2020
There were 33 projects submitted for the #map2020 challenge to build better maps in undermapped regions. Mapping teams joined in from Europe, Asia, and Africa for the chance to demonstrate how street-level imagery can play a role in addressing a humanitarian challenge. Two projects were selected to present at the HOT Summit in Germany.
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...
Collecting building data sets for exposure data in Tanzania
Since 2018, HOT-Tanzania has been carrying out the METEOR project, a project that uses Earth Observation (EO) data to assess the level of exposure...
How #Map2020 Mappers Use Street-Level Imagery to Tackle Humanitarian Challenges
From Ghana to Zambia to the Philippines, we take a look at some of the 33 mapping projects that are taking part in #map2020 to build better maps in undermapped regions. The mapping participants are collecting street-level imagery to improve things like waste management, natural disaster response, and damaged roads, addressing some of the most pressing issues in undermapped regions.
Welcome HOT’s New Voting Members for 2019
We are excited to announce 38 new HOT Voting Members! Each year, existing HOT voting members nominate new key contributors from our community to become Voting Members and act as local representatives of HOT’s global network.
Hands on Assisted Tasks
Launch of an experimental playground Tasking Manager supported by state-of-the-art machine learning techniques to assist mappers, validators and project managers.
#map2020: A campaign to accelerate critical map data collection for humanitarian challenges
Mapillary and HOT are joining forces to accelerate map data collection in undermapped regions. Local mappers are invited to use street-level imagery in mapping projects that address humanitarian or developmental challenges. Two of the projects submitted to the #map2020 campaign will be selected for a fully-funded trip to the HOT Summit in Heidelberg, Germany this September.