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Ulrika Lundh Snis

Biographic Data

ID7397707
NAMEUlrika Lundh Snis
GIVEN NAMESUlrika Lundh
FAMILY NAMESnis
SIGNATURESNIS U L
AFFILIATIONSUniversity West
ORCID0000-0002-6101-3054
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Learning in and for a changing work life

    Ulrika Lundh Snis, Ulrika Snis et al.•ARTICLE•Studies in Continuing Education•2025

    The conditions for learning and competence development in most professional fields and sectors of work life are rapidly changing due to factors such as digitalisation, globalisation, and robotisati

  • Abstraction, mimesis and the evolution of deep learning

    Open Access•Jon Eklöf, Thomas Hamelryck et al.•ARTICLE•AI & Society•2024

    Deep learning developers typically rely on deep learning software frameworks (DLSFs)—simply described as pre-packaged libraries of programming components that provide high-level access to deep learning functionality. New DLSFs progressively encapsulate mathematical, statistical and computational complexity. Such higher levels of abstraction subsequently make it easier for deep learning methodology to spread through mimesis (i.e., imitation of mod…

  • Becoming a smart old town – How to manage stakeholder collaboration and cultural heritage

    Open Access•Ulrika Lundh Snis, Anna Olsson et al.•ARTICLE•Journal of Cultural Heritage…•2021

    Purpose Within the ongoing digitalization of society and dimensions of integration, equality, citizen needs, sustainability and quality of life are of increasing importance as driving forces for cities to become smart. The purpose of this paper is to examine participatory management challenges in becoming a smart old town in the context of cultural heritage. Design/methodology/approach An explorative approach was applied on a qualitative single c…

  • The Virtual Clinic: Two-sided Affordances in Consultation Practice

    Open Access•Anna Sigridur Islind, Ulrika Lundh Snis et al.•ARTICLE•Computer Supported Cooperative…•2019

    Telecare has the potential to increase the quality of care while also decreasing costs. However, despite great potential, efficiency in care practices and cost reduction remain hypothetical. Within computer supported cooperative work (CSCW), one focus of telecare research has been on awareness support in distributed real-time communication in comparison to physical meetings since face-to-face consultations have been known as the “gold standard” o…

No prominent works on this page.

  • The Virtual Clinic: Two-sided Affordances in Consultation Practice

    Open Access•Anna Sigridur Islind, Ulrika Lundh Snis et al.•ARTICLE•Computer Supported Cooperative…•2019

    Telecare has the potential to increase the quality of care while also decreasing costs. However, despite great potential, efficiency in care practices and cost reduction remain hypothetical. Within computer supported cooperative work (CSCW), one focus of telecare research has been on awareness support in distributed real-time communication in comparison to physical meetings since face-to-face consultations have been known as the “gold standard” o…

  • Becoming a smart old town – How to manage stakeholder collaboration and cultural heritage

    Open Access•Ulrika Lundh Snis, Anna Olsson et al.•ARTICLE•Journal of Cultural Heritage…•2021

    Purpose Within the ongoing digitalization of society and dimensions of integration, equality, citizen needs, sustainability and quality of life are of increasing importance as driving forces for cities to become smart. The purpose of this paper is to examine participatory management challenges in becoming a smart old town in the context of cultural heritage. Design/methodology/approach An explorative approach was applied on a qualitative single c…

  • Abstraction, mimesis and the evolution of deep learning

    Open Access•Jon Eklöf, Thomas Hamelryck et al.•ARTICLE•AI & Society•2024

    Deep learning developers typically rely on deep learning software frameworks (DLSFs)—simply described as pre-packaged libraries of programming components that provide high-level access to deep learning functionality. New DLSFs progressively encapsulate mathematical, statistical and computational complexity. Such higher levels of abstraction subsequently make it easier for deep learning methodology to spread through mimesis (i.e., imitation of mod…

  • Learning in and for a changing work life

    Ulrika Lundh Snis, Ulrika Snis et al.•ARTICLE•Studies in Continuing Education•2025

    The conditions for learning and competence development in most professional fields and sectors of work life are rapidly changing due to factors such as digitalisation, globalisation, and robotisati

Business (2 works) · Computer Science (2 works) · Engineering (2 works) · Innovative Approaches in Technology and Social Development (2 works) · Knowledge management (2 works) · Psychology (2 works) · Abstraction (1 works) · Affordance (1 works) · Art (1 works) · Artificial Intelligence (1 works)

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