Overcoming complexity: Research through Design und Backcasting als komplementäre Ansätze zur Antizipation von nachhaltigeren Zukünften

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Maike Gebker
  • Madita Olvermann
  • Maren Ohlhoff
  • Lennart Buck
  • Bernd Engel
  • Ludger Frerichs
  • Gerhard Glatzel
  • Felix Klabunde
  • Larissa Reis
  • Anne Kathrin Schneider
  • Boris Schröder
  • Samuel Zonon
  • Simone Kauffeld

Externe Organisationen

  • Institut für Designforschung
  • Hochschule für Bildende Künste Braunschweig
  • Technische Universität Braunschweig
  • Lincoln University
  • Johann Heinrich von Thünen-Institut, Bundesforschungsinstitut für Ländliche Räume, Wald und Fischerei
  • Berlin-Brandenburgisches Institut für Biodiversitätsforschung (BBIB)
  • Technische Universität Berlin
Forschungs-netzwerk anzeigen

Details

Titel in ÜbersetzungOvercoming complexity – Research through design and backcasting as complementary approaches to anticipating more sustainable futures
OriginalspracheDeutsch
Seiten (von - bis)209-223
Seitenumfang15
FachzeitschriftGruppe. Interaktion. Organisation. Zeitschrift fur Angewandte Organisationspsychologie
Jahrgang55
Ausgabenummer2
Frühes Online-Datum6 Mai 2024
PublikationsstatusVeröffentlicht - Juni 2024
Extern publiziertJa

Abstract

The paper in the journal “Gruppe. Interaction. Organization. (GIO)” presents the interdisciplinary development of future scenarios and transformation paths using visualization methods—research through design backcasting. Sustainability transformations as complex system transformations are difficult for companies and organizations to grasp. The systemic complexity makes the transformation towards a more sustainable future more difficult. Futures research is one way of understanding changes in the system and deriving transformation paths. Various guidelines exist in the field of futures research, which is rich in methods, particularly in the backcasting process used. For interdisciplinary research contexts, the methodological use of (future) models to represent and make futures and transformation paths tangible is still little explicated. In order to address this shortcoming, this article serves to introduce the backcasting process in combination with the research through design approach; to create transformation pathways towards more sustainable futures, and to present a concrete case study to illustrate this. The systematic research process on the topic of “Electrification of agriculture in 2045” is shown step by step—from the start of the project to the development of a reference work, including target images and transformation paths—with the methods being used (including graphic recording and workshops) and by graphical illustrations. The combination of visualization and object-supported backcasting proved to be a promising methodology for strengthening system understanding, facilitating discourse on more sustainable futures and generating communicable output on a complex future model in the form of transformation pathways. On this basis, complexity can be reduced and measures for achieving more sustainable futures can be extracted and evaluated. However, RtD backcasting requires a constant reassessment of the transformation and a constant comparison of the emerging visions of the future within the research team. This requires close cooperation and thus a time and materially resource-intensive effort, but one that is worthwhile, as we show in this paper.

Schlagwörter

    Agriculture, Backcasting, Energy transition, Interdisciplinarity, Research through design, Sustainability

ASJC Scopus Sachgebiete

Zitieren

Overcoming complexity: Research through Design und Backcasting als komplementäre Ansätze zur Antizipation von nachhaltigeren Zukünften. / Gebker, Maike; Olvermann, Madita; Ohlhoff, Maren et al.
in: Gruppe. Interaktion. Organisation. Zeitschrift fur Angewandte Organisationspsychologie, Jahrgang 55, Nr. 2, 06.2024, S. 209-223.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Gebker, M, Olvermann, M, Ohlhoff, M, Buck, L, Engel, B, Frerichs, L, Glatzel, G, Klabunde, F, Reis, L, Schneider, AK, Schröder, B, Zonon, S & Kauffeld, S 2024, 'Overcoming complexity: Research through Design und Backcasting als komplementäre Ansätze zur Antizipation von nachhaltigeren Zukünften', Gruppe. Interaktion. Organisation. Zeitschrift fur Angewandte Organisationspsychologie, Jg. 55, Nr. 2, S. 209-223. https://doi.org/10.1007/s11612-024-00742-8
Gebker, M., Olvermann, M., Ohlhoff, M., Buck, L., Engel, B., Frerichs, L., Glatzel, G., Klabunde, F., Reis, L., Schneider, A. K., Schröder, B., Zonon, S., & Kauffeld, S. (2024). Overcoming complexity: Research through Design und Backcasting als komplementäre Ansätze zur Antizipation von nachhaltigeren Zukünften. Gruppe. Interaktion. Organisation. Zeitschrift fur Angewandte Organisationspsychologie, 55(2), 209-223. https://doi.org/10.1007/s11612-024-00742-8
Gebker M, Olvermann M, Ohlhoff M, Buck L, Engel B, Frerichs L et al. Overcoming complexity: Research through Design und Backcasting als komplementäre Ansätze zur Antizipation von nachhaltigeren Zukünften. Gruppe. Interaktion. Organisation. Zeitschrift fur Angewandte Organisationspsychologie. 2024 Jun;55(2):209-223. Epub 2024 Mai 6. doi: 10.1007/s11612-024-00742-8
Gebker, Maike ; Olvermann, Madita ; Ohlhoff, Maren et al. / Overcoming complexity : Research through Design und Backcasting als komplementäre Ansätze zur Antizipation von nachhaltigeren Zukünften. in: Gruppe. Interaktion. Organisation. Zeitschrift fur Angewandte Organisationspsychologie. 2024 ; Jahrgang 55, Nr. 2. S. 209-223.
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abstract = "The paper in the journal “Gruppe. Interaction. Organization. (GIO)” presents the interdisciplinary development of future scenarios and transformation paths using visualization methods—research through design backcasting. Sustainability transformations as complex system transformations are difficult for companies and organizations to grasp. The systemic complexity makes the transformation towards a more sustainable future more difficult. Futures research is one way of understanding changes in the system and deriving transformation paths. Various guidelines exist in the field of futures research, which is rich in methods, particularly in the backcasting process used. For interdisciplinary research contexts, the methodological use of (future) models to represent and make futures and transformation paths tangible is still little explicated. In order to address this shortcoming, this article serves to introduce the backcasting process in combination with the research through design approach; to create transformation pathways towards more sustainable futures, and to present a concrete case study to illustrate this. The systematic research process on the topic of “Electrification of agriculture in 2045” is shown step by step—from the start of the project to the development of a reference work, including target images and transformation paths—with the methods being used (including graphic recording and workshops) and by graphical illustrations. The combination of visualization and object-supported backcasting proved to be a promising methodology for strengthening system understanding, facilitating discourse on more sustainable futures and generating communicable output on a complex future model in the form of transformation pathways. On this basis, complexity can be reduced and measures for achieving more sustainable futures can be extracted and evaluated. However, RtD backcasting requires a constant reassessment of the transformation and a constant comparison of the emerging visions of the future within the research team. This requires close cooperation and thus a time and materially resource-intensive effort, but one that is worthwhile, as we show in this paper.",
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AU - Gebker, Maike

AU - Olvermann, Madita

AU - Ohlhoff, Maren

AU - Buck, Lennart

AU - Engel, Bernd

AU - Frerichs, Ludger

AU - Glatzel, Gerhard

AU - Klabunde, Felix

AU - Reis, Larissa

AU - Schneider, Anne Kathrin

AU - Schröder, Boris

AU - Zonon, Samuel

AU - Kauffeld, Simone

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N2 - The paper in the journal “Gruppe. Interaction. Organization. (GIO)” presents the interdisciplinary development of future scenarios and transformation paths using visualization methods—research through design backcasting. Sustainability transformations as complex system transformations are difficult for companies and organizations to grasp. The systemic complexity makes the transformation towards a more sustainable future more difficult. Futures research is one way of understanding changes in the system and deriving transformation paths. Various guidelines exist in the field of futures research, which is rich in methods, particularly in the backcasting process used. For interdisciplinary research contexts, the methodological use of (future) models to represent and make futures and transformation paths tangible is still little explicated. In order to address this shortcoming, this article serves to introduce the backcasting process in combination with the research through design approach; to create transformation pathways towards more sustainable futures, and to present a concrete case study to illustrate this. The systematic research process on the topic of “Electrification of agriculture in 2045” is shown step by step—from the start of the project to the development of a reference work, including target images and transformation paths—with the methods being used (including graphic recording and workshops) and by graphical illustrations. The combination of visualization and object-supported backcasting proved to be a promising methodology for strengthening system understanding, facilitating discourse on more sustainable futures and generating communicable output on a complex future model in the form of transformation pathways. On this basis, complexity can be reduced and measures for achieving more sustainable futures can be extracted and evaluated. However, RtD backcasting requires a constant reassessment of the transformation and a constant comparison of the emerging visions of the future within the research team. This requires close cooperation and thus a time and materially resource-intensive effort, but one that is worthwhile, as we show in this paper.

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