Research Project
The ERC PoC project Picture Pile Platform is an innovative, commercially self-sustaining platform that uses the crowdsourcing game Picture Pile for efficiently and intuitively classifying images for machine learning. It will offer a standardized, easy-to-use way for everyone to freely and quickly set-up their own picture pile campaigns for collecting image classifications by the crowd in a gamified environment, where participation is incentivized through extrinsic and intrinsic motivations.
Research Project
RapidAI4EO aims to advance rapid and continuous land monitoring with state-of-the-art AI solutions. Under the sponsorship of the European Union’s Horizon 2020 program, RapidAI4EO will establish the foundations for the next generation of Copernicus Land Monitoring Service (CLMS) products.
Research Project
LAMASUS builds on i) decades of experience in direct policy support, ii) unique modeling tools, such as GLOBIOM, the only model that integrates agricultural and land use sectors, and CAPRI, MAGNET and CLUE, which underlie JRC’s land use policy assessments, and iii) novel approaches mobilizing machine learning and citizen science.
Research Project
Yoma is a digital platform that aims to support African youth on a “learning to earning journey” with three impact areas: digital skills, social change & environmental impact. The platform plans to leverage a token economy as part of an incentive system for youth action that tackles social and environmental challenges. The project will use IIASA citizen science apps to encourage measurement and monitoring of youth-led environmental impact initiatives.
Research Project
EYE-CLIMA will support National Greenhouse Gas Inventories (NGHGIs), and thus the Paris Agreement, by developing independent observation-based methods for verifying emission estimates of greenhouse gases and the aerosol species, black carbon. Independent verification is much needed and is recognized by the IPCC in their 2019 refinement of the guidelines for NGHGIs.
Research Project
GRANULAR is a project that will last for four years, involving different disciplines and countries, with the aim of creating new datasets, tools, and methods to better understand rural areas. By doing this, we hope to gain new insights into the unique characteristics, dynamics, and drivers of change in rural areas. Using this newly generated and collected knowledge, we aim to help those involved in rural development to design place-based policies that are specifically tailored to the needs of each individual area. Ultimately, GRANULAR hopes to support rural actors in their efforts to promote sustainable territorial development.
Research Project
The Horizon 2020-funded EuroGEOSS Showcases: Applications Powered by Europe (e-shape) project is an unprecedented initiative that brings together decades of public investment in earth observation and in cloud capabilities into services to the citizens, the industry, the decision-makers and the researchers.
Research Project
European countries and regions have invested substantial amounts of resources into biodiversity conservation and knowledge. However, there continues to be limited availability at the EU-scale of harmonized, long-term, spatially explicit and regularly updated biodiversity data. This limits the uptake by policies and sectors that have an impact on biodiversity or that can mitigate biodiversity loss. How will EuropaBON address this challenge?