Publications

Publications

• Fehrenbach, David und Pesch, Mario (2019): Mit Umweltdaten die digitale Bildung verändern. Bildung+ Schule Digital
• Fehrenbach, D., Bartoschek, T., Pesch, M. Tandoğan, T. (2019): Digitale Bildung: Programmieren lernen mit Open-Source-Mikrocontrollern. ATP Magazin 03/2019
• Bartoschek, T, and Karic, B. (2019): SENPH - an Ontology for Environmental Phenomena and Sensors in the Citizen Science Context.
• Pesch, M. and Bartoschek, T. (2019): Volunteer’s demographics and motivations in senseBox and openSenseMap.
• Bartoschek, T, Nüst, D., and Pesch, M. (2019): Proceedings of the „Forum Citizen Science 2019.
• Bartoschek, T., Fehrenbach, D., Fehrenbach, J., Pesch, M., Steinmann, L. (2019): Das senseBox Buch. dpunkt Verlag, Heidelberg
• Bartoschek, T. (2019): Citizen Science mit Sensoren und Offenen Umweltdaten. gis.business 01/2019. S. 41-42
• Thapa, L., Naseer, H., El-Kaiy, S., & Bartoschek, T. (2018): MEASURING GROWTH CONDITIONS OF SALAD PLANTS USING SENSORS: A HIGH SCHOOL PROJECT. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
• Nüst, D., Bartoschek T. (2018): Open Environmental Data Analysis. EGU General Assembly 2018, Vienna, Austria. DOI 10.5281/zenodo.1217911
• Bartoschek, Thomas and Wirwahn, Jan and Pesch, Mario (2018): senseBox und openSenseMap: Umweltmonitoring für Jedermann. Umweltinformationssysteme 2018-Umweltbeobachtung: Nah und Fern
• Pfeil, M., Bartoschek, T., Wirwahn, J. (2015): OpenSenseMap – A Citizen Science Platform for Publishing and Exploring Sensor Data as Open Data.. Academic Track, FOSS4G’15, Seoul, Republic of Korea.
• Wirwahn, J., Bartoschek, T. (2015): Usability Engineering for Successful Open Citizen Science. Academic Track, FOSS4G’15, Seoul, Republic of Korea.

Bachelor- and Masterthesis

• Moritz Migge (2021): Modeling of time-spatial processes using a timeseries database on the example of the open data portal openSenseMap
• Boris Bäumer (2020): Unsupervised Anomaly Detection of Streaming Data in the openSenseMap Sensor Network
• Aysel Tandik (2020): Optimization of the Visual Representation of Mobile senseBox Data – Visualization Alternatives on the openSenseMap
• Daniel Uemmelmann (2020): Implementierung einer Geo-Temporalen-Dateninfrastruktur auf Basis der SensorThings API zur Verarbeitung von heterogenen Sensordatenquellen am Beispiel eines siedlungswassertechnischen Pumpwerkes
• Luc Niski (2020): Implementierung von interaktiven Lerntutorials zu Grundkonzepten des Computational Thinkings in einer blockbasierten Programmierumgebung
• Jasper Buß (2019): A multi-spatial dashboard related to senseBox data
• Eric Thieme-Garmann (2019): Story-Dashboard for the senseBox Project
• Mario Pesch (2019): Volunteer’s Interaction in Technology Driven Citizen Science Projects
• Anja Oberhaus (2019): Visualiisierung des Wärmeinseleffektes mit Hilfe der senseBox – Einbindung in den Bildungskontext und Evaluierung
• Niklas Aßelmann (2019): Entwicklung und Evaluierung interaktiver Tutorials mit Gamification Ansatz für Blockly senseBox MCU
• Björn Guntermann (2019): Improving computational thinking competencies through visual programming interfaces
• Christopher Poitz (2018): Machbarkeitsstudie über senseBox-Monitoring an den Quellen der Baumberge (Kreis Coesfeld, Nordrhein Westfalen)
• Norwin Roosen (2017): Integration mobiler Sensoren in die Datenstruktur und Nutzeroberfläche der Webplattform openSenseMap
• Bernd van Rennigs (2017): Entwicklung und empirische analytische Untersuchung der Usability der visuellen Programmierumgebung senseBlocks
• Jana Martins (2017): UAV-based 3D mapping of noise phenomenon for residential quality assessment by use of the senseBox
• Kiana Kazemi (2017): Evaluation and Prototyping of Low-Cost Air Quality Solutions for Participatory Sensing in Citizen Science Applications
• Christoph Kisfeld (2016): OpenSenseMap – User Centered Design
• Marc Dragunski (2016): Geostatistical capabilities in OpenSenseMap
• Jan Wirwahn (2016): Enhancement of a Citizen Driven Sensor Network: Usability Engineering for Successful Open Citizen Science
• Felix Erdmann (2016): Low-Cost Sensor zur Berechnung der Wolkenbedeckung: Ein Citizen Science Projekt basierend auf Open Source Technologien
• Matthias Pfeil (2015): OpenSenseMap – a citizen science platform for publishing and exploring sensor data as open data
• Joana Gockel (2015): Bereinigen und Klassifizieren von Daten gemessen mit der SenseBox
• Mario Pesch (2015): SenseBox:Airquality – Entwicklung einer Low-Cost Luqualitätsmessstation auf Basis der SenseBox
• Björn Guntermann (2015): senseBox:Waterquality – Entwicklung eines Wasserqualitätsmessgerätes auf Basis des Arduino Mikrokontrollers.
• Sergey Mukhametov (2013): DIY- set prototype for learning about sensing, data and programming with school-aged children
• Jan Wirwahn (2012): Weather SenseBox: An Arduino Based Approach to Integrate the Work on Sensor Platforms in High School Classes

Erwähnungen

Besides own publications, the senseBox and the openSenseMap have been mentioned in many different other publications or used in research.

• Kassandros, T., Gavros, A., Bakousi, K., & Karatzas, K. (2021): Citizens in the Loop for Air Quality Monitoring in Thessaloniki, Greece. In Advances and New Trends in Environmental Informatics (pp. 121-130). Springer, Cham.
• Becker, S., & Riemann, T. (2020): LoRaWAN und Open Data öffnen den Unterricht für die Umwelt. In Mobil mit Informatik: 9. Münsteraner Workshop zur Schulinformatik (p. 61). BoD–Books on Demand.
• Zehnder, P., Wiener, P., Straub, T., & Riemer, D. (2020): StreamPipes Connect: Semantics-Based Edge Adapters for the IIoT. In European Semantic Web Conference (pp. 665-680). Springer, Cham.
• PUTKOWSKA-SMOTER, R. E. N. A. T. A., & FRANKOWSKI, J. (2020): RIGHT TO THE MAP? COUNTER-MAPPING PRACTICES OF SMOG ALERTS AND URBAN GREENERY MOVEMENTS IN POLAND. Society Register, 4(4), 129-150.
• Sanders, C., & Liebig, T. (2020): Knowledge Discovery on Blockchains: Challenges and Opportunities for Distributed Event Detection Under Constraints In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 113-128). Springer, Cham.
• Schön, N. (2020): Digitalkompetenz für die Bildung der Zukunft. In Digitalpakt–was nun? (pp. 9-19). Springer VS, Wiesbaden.
• Schade, S., Herding, W., Fellermann, A., & Kotsev, A. (2019): Joint Statement on new opportunities for air quality sensing-lower-cost sensors for public authorities and citizen science initiatives. Research Ideas and Outcomes, 5, e34059.
• Chochiang, K., Chaowanawatee, K., Silanon, K., & Kliangsuwan, T. (2019): Arduino visual programming. In 2019 23rd International Computer Science and Engineering Conference (ICSEC) (pp. 82-86). IEEE.
• Chaturvedi, K., & Kolbe, T. H. (2019): Towards establishing cross-platform interoperability for sensors in smart cities. Sensors, 19(3), 562.
• Vo, T. T., Nichersu, A., & Wendel, J. (2019): Modeling, Monitoring, and Validating Green Roof and Green Facade Solutions with Semantic City Models Using Low Cost Sensors and Open Software Infrastructures. Urban Science, 3(2), 39.
• Schade, S., Kotsev, A., Cardoso, A. C., Tsiamis, K., Gervasini, E., Spinelli, F., ... & Sgnaolin, R. (2019): Aliens in Europe. An open approach to involve more people in invasive species detection. Computers, Environment and Urban Systems, 78, 101384.
• Mocnik, F. B., Ludwig, C., Grinberger, A. Y., Jacobs, C., Klonner, C., & Raifer, M. (2019): Shared data sources in the geographical domain—A classification schema and corresponding visualization techniques. ISPRS international journal of geo-information, 8(5), 242.
• Petrenko, I. & Thomas, M., (2019): Entwicklung ökologischen Denkens im Informatikunterricht. In Pasternak, A. (Hrsg.), Informatik für alle. Bonn: Gesellschaft für Informatik. (S. 149-158). DOI: 10.18420/infos2019-b11
• Borges, M. C., Pallas, F., & Peise, M. (2018): Providing open environmental data—The scalable and Web-friendly way. In Advances and New Trends in Environmental Informatics (pp. 21-37). Springer, Cham.
• Bruns, J., Riesterer, J., Wang, B., Riedel, T., & Beigl, M. (2018): Automated quality assessment of (citizen) weather stations. arXiv preprint arXiv:1802.06018.
• Weber, K., Kleine, N., Pallas, F., & Ulbricht, M. R. (2017): Technik zur Unterstützung von Citizen Science und Open Science. TATuP-Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, 26(1-2), 25-30.
• Dionisio, M., Paulino, T., Suri, T., Autzen, N., & Schöning, J. (2017): In search of light enhancing touristic recommender services with local weather data. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 1-8).
• De Felici, S., Sorge, F., Sbordoni, V., & Cesaroni, D. (2016): Scientists by chance: what tell us data from unaware citizen scientists? In First International ECSA Conference 2016-Citizen Science–Innovation in Open Science, Society and Policy. DE.
• Martellos, S., Attore, F., Cesaroni, D., Di Marco, S., Petruzzella, D., Spinelli, O., ... & Mereu, A. (2016): CSMON-LIFE: data from the people, data for the people. In First ECSA Conference 2016-Citizen Science-Innovation in Open Science, Society and Policy. DE.
• Weber, K., Pallas, F., & Ulbricht, M. R. (2015): Quantified Self, Participatory Sensing und die Grenzen der Regulierung. Jahrbuch für Recht und Ethik/Annual Review of Law and Ethics, 75-94.