4-5 July 2020, online: State of the Map 2020

[Daniel-Mietchen]

as per https://2020.stateofthemap.org/programme/ .

[Daniel-Mietchen]

See also the conference booklet.

[Daniel-Mietchen]

Here are a few of the talks (times in UTC) that I find interesting and will try to watch (probably afterwards).

• Saturday 11:30: Health Facilities Import

  • The talk is to basically share the experience of working with Imports of Health Facilities in India (Open Government Data). We planned to go briefly through the background of Open Government Data and the countries following the OGD, along with the compatibility of OdBL for the datasets they provide to the public.The main purpose of the import is to provide accessible data of accurate health care information from the Open Government Data directories for Hospitals, Health facilities, Blood banks,Health Centers and Health Clinics information which can be useful for all the people and also the Humanitarian team in India.The primary focus of the talk is the import process from data preparation to the execution which includes Imports Guidelines , Data Cleanup, Data transformation, Data Execution. The talk shares the detailed stats of the – Indian Health facilities OSM map data coverage before &after Imports and our survey experience for collecting the health facilities records in our region –Telangana. We also line up with the Survey experience to collect the Health facilities records and conducted OSM awareness programmes. Conclude the session with the future plan and local community support.

• Saturday 16:30: Mapcampaigner Redesign: The Data Quality Monitor For OSM

  • Humanitarian Openstreetmap Team (HOT) is an international team focused on humanitarian action and community development through open mapping. Since 2010, the organization has managed activations to attend multiple events such as understanding hazards, public health,refugee response, among others. However, when we think about organizing large-scale efforts it can be complex, due to the necessary logistics, volunteers involved, and also assuring that the data collected is meaningful. MapCampaigner, is a tool which monitors progress, view metrics on the quality and completeness of collected data and users engaged. The goal of this talk is to present the latest features included in the latest update of the tool, the goals that MapCampaigner accomplishes and many humanitarian and non-humanitarian examples through a demo.

• Sunday, 10:45: Measuring OpenStreetMap building footprint completeness using human settlement layers

  • Non-government organizations and local government units use geographic data from Open-StreetMap (OSM) to target humanitarian aid and public services. As more people start to depend on OSM, it is important to study data completeness in order to identify unmapped regions so that OSM volunteers can focus their attention on these areas. In this study, we propose a method to measure the data completeness of OSM building footprints using human settlements data.

• Sunday, 16:30, there is a talk "Evolution of humanitarian map-ping within the OpenStreetMap Community":

  • Since 2010 organized humanitarian mapping has evolved as a constant and growing element of the global OpenStreetMap (OSM) community. We analyse the history of humanitarian mapping using OpenStreetMap History and OSM Tasking Manager (tasks.hotosm.org) data. We conduct a comprehensive quantitative analysis on a global scale and long term perspective to depict more than just snapshots of individual events. Results show that in regard to edits, users, projects,geographic diversity, almost all of these have experienced linear growth. But regarding user commitment and validation efforts we conclude that the humanitarian mapping community still faces huge challenges to achieve sustainability.

• Sunday, 20:00: "Earthquakes and OpenStreetMap":

  • To assess the possible human and financial losses of earthquakes and to estimate the long-term earthquake risk that many people on Earth are exposed to, detailed knowledge of buildings is paramount. This encompasses not only the position, size, and type of buildings, but also the reconstruction value and the number of people inside the building at any time. Using OpenStreetMap data and further open data, we are implementing an open, global, dynamic,purely algorithmic, and reproducible exposure model for the probabilistic description of the aforementioned parameters for every building on Earth, growing and changing with every edit in OpenStreetMap.