The Silver Ways project strives to enhance the mobility of senior citizens in urban environments. This project introduces a unique approach that combines the development of a walkable navigation system with an age-friendly 15-Minute Neighborhood Index. This index diverges from conventional shortest path methods, focusing instead on walking paths that reflect the preferences of older adults.
Funding
Driving Urban Transitions and co-funded by the European Union
Cooperation partners
HeiGIT, the GIScience Research Group of Heidelberg University, and the TdLab Geography of Heidelberg University, Uppsala University and Abdullah Gül University
The HEAL project is a transdisciplinary initiative that develops adaptation strategies to protect at-risk groups during hot weather. It involves stakeholders and integrates public smart city data into a routing system. The project’s goal is to enable heat-adapted mobility for vulnerable populations through a dedicated app.
We are planning to expand the project to other cities and welcome inquiries from interested parties.
Funding
The Baden-Württemberg Foundation under the program “Innovations for Adaptation to Climate Change”
Cooperation partners
HeiGIT, the GIScience Research Group of Heidelberg University, the TdLab Geography of Heidelberg University
Our team supports Missing Maps by monitoring and visualizing its achievements and impact using information from the HOT Tasking Manager and our ohsome framework. Missing Maps creates detailed maps to aid humanitarian efforts in disaster-prone regions.
Cooperation partners
HeiGIT, the GIScience Research Group at Heidelberg University, Humanitarian OpenStreetMap Team
The project UndercoverEisAgenten enables citizen scientists, particularly students, to contribute to the detection of permafrost degradation in the Arctic and actively participate in climate change research. Participants are equipped with tools to analyze and classify images of Earth’s surface for this purpose.
Funding
The German Federal Ministery of Education and Research.
Cooperation partners
HeiGIT, the German Aerospace Center (DLR) and the Alfred Wegener Institute (AWI) Helmholtz Centre for Polar, Marine Research.
The project aims to provide continuous updates on landscape changes by combining satellite data with OSM data. To achieve this, it focuses on developing machine learning techniques for real-world change detection in OSM. LaVerDi (Landschaftveränderungsdienst) is a service that offers free access to geodata on landscape changes in Germany, available to both institutions and citizens.
Cooperation partners
HeiGIT, German Federal Office for Cartography (BKG)
GeoAI4Water is a series of projects focused on developing advanced Machine Learning and Deep Learning models to identify and map Wastewater Treatment Plants (WWTPs). The project supports disaster preparedness and response by providing governments and responders with accurate data and resources to mitigate the impacts of such events.
Cooperation partners
HeiGIT, the GIScience Research Group at Heidelberg University
The GeoWiKI project addresses challenges in AI modeling by integrating geographical knowledge from OpenStreetMap to improve accuracy and efficiency. AI models are successfully applied in geographical tasks such as mapping roads, buildings, and land use areas. However, their training is energy-intensive and prone to misclassifications due to their data-driven nature.
Cooperation partners
HeiGIT, the GIScience Research Group at Heidelberg University
The geoEpi project investigates the spatio-temporal dynamics of emerging viruses such as SARS-CoV-2, Dengue, and Zika with the help of crowdsourced data, web searches, and official health surveillance records. By using machine learning and geospatial analysis, the project aims to improve early disease detection and predict likely routes of disease spread.
Funding
DFG
Cooperation partners
HeiGIT, the GIScience Research Group at Heidelberg University, Heidelberg Institute for Global Health, the Geo-social Analytics Lab, Z_GIS Salzburg
We support Anticipatory Action (AA) by providing technical expertise and tools for data collection, risk assessment, and the development of effective triggers. We also collaborate with local partners to facilitate knowledge transfer and capacity building, helping them to sustain and scale these efforts independently. AA is an approach in humanitarian aid that uses weather forecasts and risk analyses to prepare for disasters before they strike.
The OSM Road Monitor project aims to create a real-time system that monitors road network changes using OpenStreetMap (OSM) and remote sensing data. It processes updates, detects errors, assesses routing impact, and notifies users at defined intervals, triggering actions like updating routing graphs or recalculating evacuation routes.
Funding
ZIM – Zentrales Innovationsprogramm Mittelstand
Cooperation partners
HeiGIT, TU Munich, Heidelberg University
The project focuses on developing advanced methods to assess the quality of OpenStreetMap (OSM) data in a structured and standardized way. Using the ohsome dashboard as a foundation, it provides tools for analyzing data quality globally or within selected regions. The project supports users in making informed decisions by delivering insights into the suitability of OSM data for various purposes.
Funding
German Federal Office for Cartography (BKG)
Free geoinformation, methods and software for the benefit of the environment and society.
Core-funded by
Background imagery created with data from OpenStreetMap contributors