J 2017

Actor networks and the construction of applicable knowledge: the case of the Timbre Brownfield Prioritization Tool

ALEXANDRESCU, Filip, Petr KLUSÁČEK, Stephan BARTKE, Robert OSMAN, Bohumil FRANTÁL et. al.

Základní údaje

Originální název

Actor networks and the construction of applicable knowledge: the case of the Timbre Brownfield Prioritization Tool

Autoři

ALEXANDRESCU, Filip, Petr KLUSÁČEK, Stephan BARTKE, Robert OSMAN, Bohumil FRANTÁL, Stanislav MARTINÁT, Josef KUNC, Lisa PIZZOL, Alex ZABEO, Elisa GIUBILATO, Andrea CRITTO a Alena BLEICHER

Vydání

Clean Technologies and Environmental Policy, Berlin Heidelberg, Springer-Verlag, 2017, 1618-9558

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50000 5. Social Sciences

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 2.343

UT WoS

000402724900007

Klíčová slova anglicky

Actor network theory; Applicable knowledge; Brownfield prioritization; Four moments of translation; End-users; Timbre research project

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 7. 10. 2022 14:58, Mgr. Pavlína Kurková

Anotace

V originále

This article deals with experiences acquired during the process of developing the Timbre Brownfield Prioritization Tool (TBPT). Developing a decision support tool that takes into account the expectations and experiences of its potential users is similar to creating applicable knowledge by the joint action of scientists and heterogeneous actors. Actor network theory is used to explore the construction of this form of applicable knowledge as a process of actor network creation. Following the French sociologist Callon, networks are seen to be initiated and carried out by a group of scientists (tool developers) via four moments of translation, called problematization, interessement, enrolment and mobilization. Each step in the construction of the TBPT—from the initial research question to the final model—can be linked in retrospect to changing configurations of actor networks. Based on the experiences of the tool developers in the Czech Republic, Poland, Germany and Romania, we illustrate how these configurations varied across space and time. This contribution emphasizes the ability to correlate gains in knowledge with the more visible changes in the scope of actor networks in order to highlight achievements but also limitations in acquiring applicable knowledge.