OSM Awards 2020

This year, we are again presenting the OpenStreetMap Awards! Seven nominees will receive an award in seven categories at the State of the Map 2020 conference. This is a community award: you decide who the nominees are, before you vote for them.

Selecting Nominees: The awards committees are working on filtering the list of nominees to four or five for each category, using your submissions and votes. The voting will open on the 1st of June.

innovation

Innovation Award

For the best new service or approach. New tools for contributing data, image recognition, trace or OSM data analysis, new mapping approach or new perspective on old tools.

innovation
yohanboniface
Yohan is the main uMap developer https://umap.openstreetmap.fr/en/ - https://github.com/umap-project/umap
He has done a lot of work on uMap and continue his effort to maintain and enhance uMap. BTW, he is doing bug triaging, bug fixing, implement new features, build and release new version and so on! Thank a lot for all your work Yohan!
(link)
innovation
CupIvan
Ivan Chashkin aka Cupivan is a member of the Russian OSM community, who has made quite a lot of different validators. They are used for various cartographic operations in Russia. For example, a validator for building entrances is used for an annual campaign to map these entrances. It is constantly expanding the list of its services.
(link)
innovation
«Ça reste ouvert»
«Ça reste ouvert» ("It stays open") is a tool to avoid unsuccessful movement around your home during lockdown. and thus limit the risk of contagion. This collaborative web map allows you to easily share open, closed or reopened places in your neighborhood.
(link)
innovation
Felix Delattre
Felix managed the complex, multi-stakeholder project for design, development, and delivery of Tasking Manager 4, the tool that enables coordination and collaboration of thousands of mappers working together in OpenStreetMap for humanitarian and development causes. This is the first version of Tasking Manager to integrate the iD editor and AI/machine learning in a way that assists mappers yet leaves decision making in their hands.
(link)