Monday, 8th July 2019, 09:00-18:00, Utrecht University, the Netherlands
Organised as part of DH2019
In recent years, a number of new and powerful ICT have made possible the exploitation of a wealth of data (either digitized or digitally born) that have changed enormously the practice in Digital Humanities and exposed novel challenges. From the creation to the consumption of digital resources, there are new stakeholders, contexts and tasks to consider. The amount of digital resources produced (or digitized), stored, explored, and analysed in any DH project is immensely vast (specially if we take into account the introduction of linked-data), so the traditional humanities tools have to be either substituted or aided with ancillary tools in the form of interactive visualisations or novel user interfaces. Furthermore, during the whole lifecycle of any DH project -from the data preparation to the actual analysis or exploration phase-, many decisions have to be made in order to yield the desired results that depend on the uncertainty pertaining to both the datasets and the models behind them.
The PROVIDEDH project (PROgressive VIsual DEcision-Making in Digital Humanities) aims to provide visual interactive tools that convey the degree of uncertainty of the datasets and computational models used behind, designed to progressively adapt the visualizations to incorporate the new, more complete or more accurate data. The project not only takes into account scholars, since it is most relevant in DH the fact that the role of citizens has changed enormously. We live in a society that has democratized science, and the number of projects in which the contribution of citizens, either producing or using digital resources, has exploded.
Taking into account these key issues of complexity in data visualization for DH, this participatory workshop based on the PROVIDEDH project will develop through knowledge design methods and Open Innovation a hands-on sequence around data-based DH research, software needs and features. More specifically, via participatory design (or “co-design”) the workshop will present and test different visual methods, procedures and techniques for designing new projects in relation to DH projects based on specific datasets, as well as the simultaneous exploration of scenarios and user-centered approaches for the integration of many possible points of view.
Each phase of the workshop focuses on specific ways to generate and discuss visual information, in accordance with participatory design practices. The different co-design and discussion phases will be based on research toolkit materials adapted expressly for the session and the DH2019 conference theme. Using on examples from their own projects and areas, participants will learn about co-design techniques applied to DH, as well as experience practical resources for dealing with complexity and uncertainty around data visualization.
A survey will be shared in advance of the workshop.
Eveline Wandl-Vogt is experimentalist, foundress and coordinator of exploration space at the austrian academy of sciences (AAS), austrian centre for digital humanities (ACDH). exploration space is an open space for innovation and experimentation for the networked humanities with the aim of stimulating, designing, enabling and scientifically analyzing new forms of knowledge production at the interface of science, technology and society. it is a best practice example for open innovation of the austrian government. exploration space, a vivid collaboration framework between artists, business companies, citizens, practitioners and scientists, prototypes the open innovation research infrastructure (OI-RI) designed under the leadership of eveline in an european consortium in 2017.
Based on the mission of knowledge4development and against the background of a RRI mission statement, eveline aims to apply open innovation methods and practices in humanities, contributing to the agenda2030 and the achievement of the sustainable development goals (SDG).
Her current projects deal with re-inventing the genre of the dictionary and prototyping the post dictionary, knowledge science and digital transformation in the humanities; she is experimenting with arts, exponential strategies, open innovation and data company mindset to innovate humanities. eveline chairs the open innovation workpackage at PROVIDEDH.
Eveline acts as research manager and initiator on various international boards. she serves as expert in various global initiatives, mainly in the area of technical and social infrastructures, such as ALLEA, COST actions, DARIAH, ECSA and standarization bodies.
Eveline is a network facilitator, passionate to create cross-sectoral, cross-organizational value driven innovation networks of purpose.
Enric works on co-design methodologies and Agile frameworks for research processes and for the development of digital Commons at the Dimmons Research Group (Internet Interdisciplinary Institute – UOC). He is a visiting Fellow at the CECAN research centre (University of Surrey) and guest researcher at the Austrian Centre for Digital Humanities (Austrian Academy of Sciences). Member of the Platoniq collective, co-founder and project manager at the platform Goteo.org for civic crowdfunding. He has been vice-president of the Observatory for CyberSociety and associated professor of Software Studies at the Open University of Catalonia, where he holds a Master’s Degree in the Information and Knowledge Society. As a certified Scrum Master by the Scrum Alliance, he has worked as facilitator role for international projects including Europeana Creative and Connected Action for the Commons network (European Cultural Foundation). Enric has rich experience in running co-design workshops and events.
VisUsal (University of Salamanca),
Roberto is the is the leader of the visual analytics research group at the university of Salamanca, which has carried out several research projects related to various domains related to big data problems, including bioinformatics, palaeoclimatology and digital humanities (collaborations with the Real Academia Española and Austrian Academy of Science). He has proposed and developed several highly interactive visual analytics tools that tackle the problem of understanding complex and vast datasets by integrating the cognitive capabilities of the domain experts with specific machine learning and data mining techniques suitable for the issue at hand. Since 2012 he is the coordinator of the PhD Programme on Computer Engineering and the Master on Intelligent Systems (both at the University of Salamanca)