Tobias Sturn
Research Scholar
Novel Data Ecosystems for Sustainability Research Group
Advancing Systems Analysis Program
Contact
Biography
Tobias Sturn received his Master’s degree from the FH Technikum Vienna in Game Engineering and Simulation in 2010. He then worked as project assistant at the Computer Graphics Institute at TU Vienna. In the Landspotting Project he has been collaborating with IIASA to design and develop serious games for improving global land cover. He joined the Ecosystems Services and Management Program (ESM) at IIASA in April 2014, to design and develop serious games like Cropland Capture, Picture Pile or FotoQuest Go.Mr. Sturn's interests cover human-computer interaction, computer graphics and all aspects of gaming, especially games with a purpose and edutainment. With his game development company Emoak he has published a number of games like 'Let’s Dance” or “Paper Climb'. The latter game has been finalist for the Content Award and Future Zone Award. With the help of his latest serious game development 'Cropland Capture' more than 4 million square kilometers of global land surface have already been validated to date by players to improve global land cover maps. The game has been widely featured in the media such as by NPR and The Guardian.
Last update: 13 NOV 2020
Publications
Lesiv, M. , Fritz, S. , Laso Bayas, J.C. , Dürauer, M., Domian, D., See, L. , McCallum, I. , Danylo, O., Perger, C., Karner, M., Schepaschenko, D. , Moorthy, I., Fraisl, D. , & Sturn, T. (2018). Global Field Sizes Dataset for Ecosystems Modeling. In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.
McCallum, I , See, L. , Sturn, T., Salk, C., Perger, C., Dürauer, M., Karner, M., Moorthy, I., Domian, D., Schepaschenko, D. , & Fritz, S. (2018). Engaging Citizens in Environmental Monitoring via Gaming. International Journal of Spatial Data Infrastructures Research 13 15-23. 10.2902/1725-0463.2018.13.art3.
Moorthy, I., See, L. , Fritz, S. , McCallum, I. , Perger, C., Dürauer, M., Dresel, C., Sturn, T., Karner, M., Schepaschenko, D. , Lesiv, M. , Danylo, O., Laso Bayas, J.C. , Salk, C., Maus, V. , Fraisl, D. , Domian, D., & Mathieu, P.P. (2017). Crowd-driven tools for the calibration and validation of Earth Observation products. In: Earth Observation Open Science 2017 Conference, 25-28 September 2017, Frascati, Italy.
Woodard, J., Andriessen, M., Cohen, C., Cox, C., Fritz, S. , Johnson, D., Koo, J., McLean, M., See, L. , Speck, T., & Sturn, T. (2017). Using ICT for Remote Sensing, Crowdsourcing, and Big Data to Unlock the Potential of Agricultural Data. In: ICT in Agriculture (Updated Edition): Connecting Smallholders to Knowledge, Networks, and Institutions. pp. 401-431 USA: The World Bank Publications. ISBN 978-1-4648-1002-2 10.1596/978-1-4648-1002-2_Module15.
Fritz, S. , See, L. , Perger, C., McCallum, I. , Schill, C., Schepaschenko, D. , Duerauer, M., Karner, M., Dresel, C., Laso-Bayas, J.-C., Lesiv, M. , Moorthy, I., Salk, C.F., Danylo, O., Sturn, T., Albrecht, F., You, L., Kraxner, F., & Obersteiner, M. (2017). A global dataset of crowdsourced land cover and land use reference data. Scientific Data 4 p. 170075. 10.1038/sdata.2017.75.