@article{BruhnMeierLawrence, author = {Bruhn, Thomas and Meier, Sebastian and Lawrence, Mark G.}, title = {Interactive network visualization on the integration of mindsets and sustainability : creating conditions for emergence through a relational narrative}, series = {Innovation : The European Journal of Social Science Research}, volume = {36}, journal = {Innovation : The European Journal of Social Science Research}, number = {1}, publisher = {Routledge, Taylor \& Francis Group}, address = {London}, issn = {1351-1610}, doi = {10.1080/13511610.2022.2101987}, pages = {71 -- 84}, abstract = {Transdisciplinary research processes often involve the integration of knowledge and stakeholders from various backgrounds. Here, we introduce the story of the research project AMA (A Mindset for the Anthropocene) on the role of mindsets in the context of sustainability and present an interactive visualization tool that we developed for stakeholder mapping and research communication. Through this platform, we provide access and navigation to everyone interested in this field of research and we have simultaneously created a channel for all stakeholders to co-create content. Here, we describe the design and functionalities of the platform and the participatory way it was developed as part of our stakeholder engagement. We discuss upon how such a design allows for reflection of potential biases in transdisciplinary research processes and simultaneously catalyzing self-organization in stakeholder networks.}, subject = {Stakeholder}, language = {en} } @inproceedings{Meier, author = {Meier, Sebastian}, title = {Semi-automatic spatial classification of heterogeneous spatial open government data : use case of Germany}, series = {Abstracts of the International Cartographic Association}, booktitle = {Abstracts of the International Cartographic Association}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {2570-2106}, doi = {10.5194/ica-abs-5-59-2022}, pages = {2}, abstract = {As part of the research project Open Data Cloud Services (ODCS), we have been trying to overcome some of the limitations introduced through the heterogeneity of spatial open government data (sOGD). In this paper we describe some of the challenges of sODG and one of the tools we built to spatially organize heterogenous sOGD, to make it easier for users to find data and automatically integrate it into existing data structures and in the future allow for cross-dataset spatial analysis.}, subject = {Klassifikation}, language = {en} }