Interdisciplinary research shows how developing a taxonomy improves decision making in digital humanities, suggesting effective collaboration and negotiation.
This paper describes the experience of a group of interdisciplinary researchers and research professionals involved in the PROgressive VIsual DEcision-making in Digital Humanities (PROVIDEDH) project, a four-year project funded within the CHIST-ERA call 2016 for the topic Visual Analytics for Decision Making under Uncertainty — VADMU. It contributes to the academic literature on how digital methods can enhance interdisciplinary cooperative work by exploring the collaboration involved in developing visualisations to lead decision-making in historical research in a specific interdisciplinary research setting. More specifically, we discuss how the cross-disciplinary design of a taxonomy of sources of uncertainty in Digital Humanities (DH), a profoundly collaborative enterprise built at the intersection of computer science and humanities research, became not just an instrument to organise data, but also a tool to negotiate and build compromises between different communities of practice.
No takes yet. Share an insight, caveat, or question.
Edmond et al. (2023) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: