Research projects

Ongoing research projects of the Novel Data Ecosystems for Sustainability Research Group.

Flood Resilience

IIASA is a core member of the Flood Resilience Alliance, an innovative partnership between research, development and humanitarian NGOs and the private sector that works together for making at step change with regard to policy, finance and practice of managing floods and other climate-related hazards towards increased community resilience. More

LandSense: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring

How can citizen-powered science coupled with mobile technology improve our understanding and governance of land use and land cover changes? More

RESTORE+: Addressing Landscape Restoration on Degraded Land in Indonesia and Brazil

RESTORE+ aims to explore restoration and utilization options of tropical degraded and/or marginal land in order to ease pressure on deforestation as well as mitigating climate change. The project aspires to generate innovative methodology that combines multi-objective modelling (utilizing more than five in-house and newly developed models) with advanced big data and crowd-empowered remote sensing analyses. More

Nature Map Earth

Nature Map Earth is developing an integrated global map of biodiversity, carbon storage, and other dimensions of nature by consolidating and crowd-sourcing data from many sources. More

EuroGEOSS Showcases: Applications Powered by Europe (e-shape)

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. More

FABLE

Towards sustainable food and land-use systems: The Food, Agriculture, Biodiversity, Land, and Energy (FABLE) Consortium. More

EuropaBON

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? More

CAMALIOT

The CAMALIOT project involves the application of machine learning technology to raw data from the Global Navigation Satellite System (GNSS) to improve the prediction of extreme weather events in the atmosphere (troposphere) and in space (ionosphere) More

FRAMEwork

FRAMEwork enables research and empowerment initiatives for farmers and local communities to tackle biodiversity loss. More

Picture Pile Platform

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. More

RapidAI4EO

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. More

World Cover

World Cover aims to produce, deliver and validate, as fast as possible, a global land cover map at 10m resolution with a mapping of a minimum of 10 land cover classes and a minimum overall accuracy of 75 %. The project is user driven, aiming at a maximum impact of the global land cover map to a set of end-user organizations. More

Helmets labeling crops

The Helmets Labeling Crops project will implement novel and innovative approaches that include rapid point data collection combined with crowdsourcing to create point and polygon labels using tested software tools to create an machine learning ready label dataset More

SATFARM Services

SATFARM Services aims to derive new remote sensing indicators of climate-smart agricultural practices that provide enhanced resilience in the face of weather extremes resulting of climate change More


Print this page

Last edited: 13 July 2021

CONTACT DETAILS

Ian McCallum

Research Group Leader and Senior Research Scholar Novel Data Ecosystems for Sustainability Research Group - Advancing Systems Analysis Program

NODES completed projects

PUBLICATIONS

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313