Towards Goal-Oriented Recommender- and DataSpace-Driven Volunteering

Voluntary engagement is an indispensable cornerstone of Critical Infrastructures (CI) such as civil protection, disaster, crisis and rescue management as well as health and social services. Sustainability of the voluntary sector, however, is massively endangered by profound changes in demography, social structure, and volunteer motives in the sense of individualization and pluralization of society. This paper tackles these key challenges by giving an overview on our digital platform for goal-oriented volunteering across and independently of different non-profit organizations. This platform is intended to be a first step towards synergistically aligning the goals and competencies of volunteers with the activity requirements of CI by proposing first ideals on using recommender and dataspace technologies.

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Publication Details

Published
2025-03-19
DOI
https://doi.org/10.18690/um.fov.2.2025.61
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
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article

Towards Goal-Oriented Recommender- and DataSpace-Driven Volunteering

Werner Retschitzegger, Johannes Schönböck, Birgit Pröll, Wieland Schwinger et al.
Recommender Systems and Techniques
article

Towards Goal-Oriented Recommender- and DataSpace-Driven Volunteering

Werner Retschitzegger, Johannes Schönböck, Birgit Pröll, Wieland Schwinger, Christoph Angster, Elisabeth Kapsammer
article en

Abstract

Voluntary engagement is an indispensable cornerstone of Critical Infrastructures (CI) such as civil protection, disaster, crisis and rescue management as well as health and social services. Sustainability of the voluntary sector, however, is massively endangered by profound changes in demography, social structure, and volunteer motives in the sense of individualization and pluralization of society. This paper tackles these key challenges by giving an overview on our digital platform for goal-oriented volunteering across and independently of different non-profit organizations. This platform is intended to be a first step towards synergistically aligning the goals and competencies of volunteers with the activity requirements of CI by proposing first ideals on using recommender and dataspace technologies.

Johannes Kepler University of Linz (AT), Faculty of Media (SI), Ministry of the Interior (SI)
Openalex Percentile: Top 94%
Recommender Systems and Techniques
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Towards Goal-Oriented Recommender- and DataSpace-Driven Volunteering — Werner Retschitzegger, Johannes Schönböck, et al. · (2025) | TGRS Research Map | TGRS