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NODES will mobilize the tools of citizen and data science combined with Earth observations to monitor, analyze, and foster progress towards the UN Sustainable Development Goals (SDGs).
To realize this vision, NODES will exploit novel data ecosystems in which several actors interact via infrastructure, analytics, and applications to produce, analyze, exchange, and consume data.
Three main cross-fertilizing pillars characterize the research focus of NODES:
- Advancing the field of citizen science: NODES will remain at the forefront of citizen science from conceptual advancements to innovations in citizen science practice, including the development of new means to acquire, analyze, and openly share citizen science data, as well as how citizen science can contribute to the SDGs and sustainability.
- Enriching Earth observation: NODES will utilize new types of Earth observation technology (e.g., high-resolution imagery, drones, and the Internet of things (IoT)) and develop applications that focus on the interplay between Earth observation and citizen science using Geo-Wiki tools, various forms of remote sensing, and on-site observation.
- Exploiting the digital revolution: NODES will harness the opportunities arising from the digital revolution by exploiting advancements in computing capabilities, data science (e.g., machine and deep learning), environmental informatics, and the geospatial sciences, among others, to enhance integrated systems science research and generate new and innovative data sets for further insights.
Projects
Urban ReLeaf - Citizen-powered data ecosystems for inclusive and green urban transitions
Open-Earth-Monitor Cyberinfrastructure (OEMC)
Staff
Dmitry Shchepashchenko
Senior Research Scholar (NODES, AFE)
Artem Baklanov
Research Scholar (NODES)
Milutin Milenkovic
Research Scholar (NODES)
Elena Moltchanova
Guest Senior Research Scholar (NODES)
News
25 January 2023
Driving inclusive and green urban transitions
A new Horizon Europe project led by IIASA called Urban ReLeaf leverages citizen science for public sector innovation.
05 October 2022
Citizen science goes global
On 3 October 2022, citizen science networks and practitioners from around the world welcomed the formation of the Citizen Science Global Partnership (CSGP), a newly established association which seeks to promote and advance citizen science for a sustainable world.
30 August 2022
A new dataset sheds light on the global impacts of mining
To mitigate the adverse effects of mining activities, high-resolution maps of mining sites are necessary. In a new study, researchers created a large-scale, openly accessible, global map that almost doubles the coverage of previous datasets.
Focus
05 December 2022
Building trust in science for a sustainable future
Options Magazine, Winter 2022: Science-informed policy is crucial to solving the interconnected and complex global to local problems society faces today. There is, however, one essential element that is critical to the success of such an ambitious endeavor: trust in the scientific information provided.
29 November 2022
Where are they now: Olga Danylo
Options Magazine, Winter 2022: IIASA alumna Olga Danylo was part of the development team of Restor, a global hub for over 120,000 nature restoration and conservation projects all over the world, and is currently the organization’s Technical Product Manager.
19 June 2022
Celebrating 50 years of systems science
The institute’s 50th anniversary provides a perfect moment to take stock of its achievements as we look to the future. Join us on a journey through time as we highlight 50 major IIASA achievements of the past half century.
Publications
Labrière, N., Davies, S.J., Disney, M.I., Duncanson, L.I., Herold, M., Lewis, S.L., Phillips, O.L., Quegan, S., Saatchi, S.S., Shchepashchenko, D. , Scipal, K., Sist, P., & Chave, J. (2023). Toward a forest biomass reference measurement system for remote sensing applications. Global Change Biology 29 (3) 827-840. 10.1111/gcb.16497.
Jasansky, S., Lieber, M., Giljum, S., & Maus, V. (2023). An open database on global coal and metal mine production. Scientific Data 10 (1) 10.1038/s41597-023-01965-y.
Tubiello, F.N., Conchedda, G., Casse, L., Pengyu, H., Zhongxin, C., De Santis, G., Fritz, S., & Muchoney, D. (2023). Measuring the world’s cropland area. Nature Food 10.1038/s43016-022-00667-9.
Shvidenko, A., Mukhortova, L., Kapitsa, E., Kraxner, F., See, L. , Pyzhev, A., Gordeev, R., Fedorov, S., Korotkov, V., Bartalev, S., & Shchepashchenko, D. (2022). A Modelling System for Dead Wood Assessment in the Forests of Northern Eurasia. Forests 14 (1) p. 45. 10.3390/f14010045.
Fan, L., Wigneron, J.-P., Ciais, P., Chave, J., Brandt, M., Sitch, S., Yue, C., Bastos, A., Li, X., Qin, Y., Yuan, W., Shchepashchenko, D. , Mukhortova, L., Li, X., Liu, X., Wang, M., Frappart, F., Xiao, X., Chen, J., Ma, M., Wen, J., Chen, X., Yang, H., van Wees, D., & Fensholt, R. (2022). Siberian carbon sink reduced by forest disturbances. Nature Geoscience 10.1038/s41561-022-01087-x.