{"id":146,"date":"2016-09-09T15:31:26","date_gmt":"2016-09-09T13:31:26","guid":{"rendered":"https:\/\/ethnoserver.hu-berlin.de\/ethnoblog\/sts\/?page_id=146"},"modified":"2021-06-15T12:50:02","modified_gmt":"2021-06-15T10:50:02","slug":"niewoehner","status":"publish","type":"page","link":"https:\/\/www2.hu-berlin.de\/sts\/people\/current-members\/niewoehner\/","title":{"rendered":"J\u00f6rg Niew\u00f6hner"},"content":{"rendered":"
\n

\"J\u00f6rgI am Professor for Human-Enviroment Relations at the Institute of European Ethnology<\/a> of Humboldt-Universit\u00e4t zu Berlin, and director of the Integrative Research Institute: Transformations of Human-Environment Systems (IRI THESys)<\/a>.<\/p>\n

I am interested in the anthropology of science and technology, environment|human relations\u00a0and critical medical anthropology. I am currently working on an ecological or relational anthropology in the fields of global environmental change (sustainability transition, land use competition) and the life sciences (psychiatry, epigenetics, local biologies).<\/p>\n<\/div>\n

Contact: joerg.niewoehner@hu-berlin.de<\/a> | Book an appointment @ Institute for European Ethnology<\/a><\/p>\n

Find me also at: Academia<\/a> | Researchgate<\/a> | Institute for European Ethnology<\/a> | IRI THESys<\/a><\/p>\n

Publications<\/h1>\n
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104 entries<\/span> «<\/a> ‹<\/a> 1 of 2 ›<\/a> »<\/a> <\/div><\/div>

2024<\/h3>

Anja Klein, Krystin Unverzagt, Rossella Alba, Jonathan Donges, Tilman Hertz, Tobias Krueger, Emilie Lindkvist, Romina Martin, J\u00f6rg Niew\u00f6hner, Hannah Prawitz, Maja Schl\u00fcter, Luana Schwarz, Nanda Wijermans<\/p>

From situated knowledges to situated modelling: a relational framework for simulation modelling<\/a> Journal Article<\/span> <\/p>

In: <\/span>Ecosystems and People, <\/span>vol. 20, <\/span>iss. 1, <\/span>pp. 2361706, <\/span>2024<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span><\/p>

@article{Klein2024,
\r\ntitle = {From situated knowledges to situated modelling: a relational framework for simulation modelling},
\r\nauthor = {Anja Klein and Krystin Unverzagt and Rossella Alba and Jonathan Donges and Tilman Hertz and Tobias Krueger and Emilie Lindkvist and Romina Martin and J\u00f6rg Niew\u00f6hner and Hannah Prawitz and Maja Schl\u00fcter and Luana Schwarz and Nanda Wijermans},
\r\ndoi = {https:\/\/doi.org\/10.1080\/26395916.2024.2361706},
\r\nyear  = {2024},
\r\ndate = {2024-06-01},
\r\nurldate = {2024-06-01},
\r\njournal = {Ecosystems and People},
\r\nvolume = {20},
\r\nissue = {1},
\r\npages = {2361706},
\r\nabstract = {In this paper we extend the use of a relational approach to simulation modelling, a widely used knowledge practice in sustainability science. Among modellers, there is awareness that model results can only be interpreted in view of the assumptions that inform model construction and analysis, but less systematic questioning of those assumptions. Moreover, current methodological discussions tend to focus on integrating social and ecological dynamics or diverse knowledges and data within a model. Yet choices regarding types of modelling, model structure, data handling, interpretation of results and model validation are not purely epistemic. They are entangled with values, contexts of production and use, power relations, and pragmatic considerations. Situated Modelling extends a relational understanding of the world to scientific knowledge production and with that to modelling itself in order to enable a systematic interrogation of these choices and to research social-ecological transformations relationally. To make tangible the situatedness of simulation modelling, we build on existing practices and describe the situatedness of three distinct modelling approaches. We then suggest four guiding principles for Situated Modelling: 1. attending to the apparatus of knowledge production that is socially and materially embedded and produced by e.g. research infrastructures, power relations, and ways of thinking; 2. considering how agency is distributed between model, world, data, modeller in model construction; 3. creating heterogenous collectives which together occupy the formerly individualised subject position; and 4. using agonism as an epistemic virtue to retain and work with significant differentiations of social-ecological dynamics throughout the modelling process.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
In this paper we extend the use of a relational approach to simulation modelling, a widely used knowledge practice in sustainability science. Among modellers, there is awareness that model results can only be interpreted in view of the assumptions that inform model construction and analysis, but less systematic questioning of those assumptions. Moreover, current methodological discussions tend to focus on integrating social and ecological dynamics or diverse knowledges and data within a model. Yet choices regarding types of modelling, model structure, data handling, interpretation of results and model validation are not purely epistemic. They are entangled with values, contexts of production and use, power relations, and pragmatic considerations. Situated Modelling extends a relational understanding of the world to scientific knowledge production and with that to modelling itself in order to enable a systematic interrogation of these choices and to research social-ecological transformations relationally. To make tangible the situatedness of simulation modelling, we build on existing practices and describe the situatedness of three distinct modelling approaches. We then suggest four guiding principles for Situated Modelling: 1. attending to the apparatus of knowledge production that is socially and materially embedded and produced by e.g. research infrastructures, power relations, and ways of thinking; 2. considering how agency is distributed between model, world, data, modeller in model construction; 3. creating heterogenous collectives which together occupy the formerly individualised subject position; and 4. using agonism as an epistemic virtue to retain and work with significant differentiations of social-ecological dynamics throughout the modelling process.<\/div>
Close<\/a><\/p><\/div>