Innovations

The project consistes of interpreting air quality data for the city of Minsk with isofix (heat) map using machine learning technologies and analytics. It is a continuation of the PCF project and involves the installation of 16 outdoor sensors in Minsk.

A smart waste bin that tackles the challenges of safe waste disposal and waste management in public indoor places.

Floods have large consequences for communities and individuals. Better flood forecasting would lead to better real time warnings and planning, which would mean enhanced social sustainability in the region. The proposed project merges the potential of Earth Observation data with Computer Vision and Machine Learning technologies, to create improved flood forecasting and mitigation.

With the Better Cotton Project, we collaborate with an agricultural call center, which regularly calls farmers and offers consultancy services, while also recording their data. The project's goal is to create a cost and time efficient tool to transfer sustainable agriculture knowledge to farmers to enable a change in behavior.

The TURMEPA Academy will create a website that provides free access to environmental education in Turkey.

SKD’s project will establish an online learning management tool on circular economy in order to support companies in their transition from linear to circular business models.