DFG Research Network: Digital 3D Reconstructions as Tools of Architectural Historical Research (2018-2022)

Digital 3D reconstructions have been used as knowledge carriers, research tools and means of representation in architectural history research for more than 30 years. On the one hand, the number of produced digital reconstructions has continuously increased in the past years, on the other hand, they show highly different technical, graphical and content-related qualities. In addition, in most cases neither the processes of creation nor the quality of the underlying research work are transparent. While a diversity of models and tools is desirable, especially due to the plurality of questions that are investigated using them, the question of criteria and approaches to evaluate and validate the use of these tools as well as the resulting findings arises.

The specific question is: How can digital reconstruction methods be validated as scientific tools in the context of architectural history research?

An initial set of topics and related sets of questions were developed with the involvement of about 30 scholars in a workshop of the "Arbeitsgemeinschaft Digitale Rekonstruktion des Digital Humanities im deutschsprachigen Raum (DhD) e.V." at the end of 2014. The participants of the network deal with the following main topics within the framework of six working meetings:

The results of the work are incorporated into jointly developed guidelines as well as a "Handbook of Scientific Digital 3D Reconstruction" based on them.

The network is in place since 2018.

About the format

Scientific networks offer young researchers the opportunity for cross-location, topic- and task-related exchange.

A scientific network consists of a permanent group of people who work on a specific topic over a defined period of several years - up to three years - with the aim of achieving a concrete result. This group of people can also include researchers working abroad, the aim being that scientific networks should also serve the international networking of young researchers.

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