The PROgressive VIsual DEcision-Making in Digital Humanities (PROVIDEDH) project is a three-year project funded within the CHIST-ERA call 2016 for the topic “Visual Analytics for Decision Making under Uncertainty – VADMU.”  The project aims to give Digital Humanities (DH) scholars a space to explore and assess the completeness and evolution of digital research objects, the degree of uncertainty that the models applied to the data incorporate, and to share their perspectives and insights with the project’s broad range of stakeholders.

The project’s goal is realisable through the development of a wide spectrum of outcomes, ranging from recommendations and reports, to a multimodal collaborative platform for the progressive visual analysis of different DH collections, both for scholars and citizen humanists.  The project brings technical experts together with leading digital humanists with a range of expertise and is supported by Winnovation, one of the leading European consulting agencies on Open Innovation. The developed systems will be available for external stakeholders to use and our open-source approach will promote their collaboration with the project and its partners.

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Exponential Science: What can science learn from the transformation and demise of businesses in an era of disruption

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Identifying Uncertainties in Historical Recipes #4 Participatory Citizen Workshop II, 28 Feb. 2020

A workshop by the CHIST-ERA funded PROVIDEDH Project Partners — Austrian Centre for Digital Humanities and Cultural Heritage, Austrian Academy of Sciences and University of Salamanca  Date: Friday, 28 February …
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Interaction #3: Identifying Uncertainties in Transcribed Historical Recipes: Two Steps Approach to Co-creation and Research Software Development

How can uncertainties regarding specific historical knowledge be identified, annotated and shared among researchers and citizen scientists? To what extent can an “hybrid” methodology connecting co-creation principles and software development …
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