Refine
Year of publication
- 2023 (101) (remove)
Document Type
- Article (59)
- Conference Proceeding (30)
- Part of a Book (5)
- Preprint (2)
- Talk (2)
- Book (1)
- Contribution to a Periodical (1)
- Habilitation (1)
Language
- English (101) (remove)
Keywords
- Information extraction (3)
- Natural language processing (3)
- Associated liquids (2)
- Bacillaceae (2)
- Biotechnological application (2)
- Diversity Management (2)
- Engineering Habitus (2)
- Future Skills (2)
- Interdisciplinarity (2)
- Organizational Culture (2)
- Power plants (2)
- Subtilases (2)
- Subtilisin (2)
- Sustainability (2)
- additive manufacturing (2)
- factory planning (2)
- manufacturing flexibility (2)
- ultrasound (2)
- (Poly)saccharides (1)
- (R)- or (S)- gamma-valerolactone (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (28)
- Fachbereich Elektrotechnik und Informationstechnik (18)
- ECSM European Center for Sustainable Mobility (16)
- Fachbereich Luft- und Raumfahrttechnik (16)
- Fachbereich Chemie und Biotechnologie (13)
- Fachbereich Energietechnik (13)
- INB - Institut für Nano- und Biotechnologien (11)
- IfB - Institut für Bioengineering (9)
- Fachbereich Wirtschaftswissenschaften (7)
- Fachbereich Maschinenbau und Mechatronik (6)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (6)
- Nowum-Energy (6)
- Kommission für Forschung und Entwicklung (3)
- Solar-Institut Jülich (3)
- Fachbereich Bauingenieurwesen (2)
- Institut fuer Angewandte Polymerchemie (2)
- Arbeitsstelle fuer Hochschuldidaktik und Studienberatung (1)
This paper describes the potential for developing a digital twin of society- a dynamic model that can be used to observe, analyze, and predict the evolution of various societal aspects. Such a digital twin can help governmental agencies and policy makers in interpreting trends, understanding challenges, and making decisions regarding investments or policies necessary to support societal development and ensure future prosperity. The paper reviews related work regarding the digital twin paradigm and its applications. The paper presents a motivating case study- an analysis of opportunities and challenges faced by the German federal employment agency, Bundesagentur f¨ur Arbeit (BA), proposes solutions using digital twins, and describes initial proofs of concept for such solutions.