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Auflistung nach Autor:in "Scheider, Simon"

1 - 10 von 12
  • Zeitschriftenartikel
    A Reference System Architecture with Data Sovereignty for Human-Centric Data Ecosystems
    (Business & Information Systems Engineering: Vol. 65, No. 5, 2023) Scheider, Simon; Lauf, Florian; Möller, Frederik; Otto, Boris
    Since the European information economy faces insufficient access to and joint utilization of data, data ecosystems increasingly emerge as economical solutions in B2B environments. Contrarily, in B2C ambits, concepts for sharing and monetizing personal data have not yet prevailed, impeding growth and innovation. Their major pitfall is European data protection law that merely ascribes human data subjects a need for data privacy while widely neglecting their economic participatory claims to data. The study reports on a design science research (DSR) approach addressing this gap and proposes an abstract reference system architecture for an ecosystem centered on humans with personal data. In this DSR approach, multiple methods are embedded to iteratively build and evaluate the artifact, i.e., structured literature reviews, design recovery, prototyping, and expert interviews. Managerial contributions embody novel design knowledge about the conceptual development of human-centric B2C data ecosystems, considering their legal, ethical, economic, and technical constraints.
  • Zeitschriftenartikel
    Current topics and challenges in geoAI
    (KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, Simon
    Taken literally, geoAI is the use of Artificial Intelligence methods and techniques in solving geo-spatial problems. Similar to AI more generally, geoAI has seen an influx of new (big) data sources and advanced machine learning techniques, but also a shift in the kind of problems under investigation. In this article, we highlight some of these changes and identify current topics and challenges in geoAI.
  • Zeitschriftenartikel
    Current topics and challenges in geoAI
    (KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, Simon
    Taken literally, geoAI is the use of Artificial Intelligence methods and techniques in solving geo-spatial problems. Similar to AI more generally, geoAI has seen an influx of new (big) data sources and advanced machine learning techniques, but also a shift in the kind of problems under investigation. In this article, we highlight some of these changes and identify current topics and challenges in geoAI.
  • Zeitschriftenartikel
    GeoAI
    (KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian
  • Zeitschriftenartikel
    GeoAI
    (KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian
  • Zeitschriftenartikel
    GeoAI and Beyond
    (KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian; Janowicz, Krzysztof
  • Zeitschriftenartikel
    GeoAI and Beyond
    (KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian; Janowicz, Krzysztof
  • Zeitschriftenartikel
    GeoAI as Collaborative Effort
    (KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, Simon; Tuia, Devis
  • Zeitschriftenartikel
    GeoAI as Collaborative Effort
    (KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, Simon; Tuia, Devis
  • Konferenzbeitrag
    Knowledge Discovery, Thematic Maps, and e-Discussion as Means for a Sustainable Decision Making in Developing Countries
    (Sh@ring – EnviroInfo 2004, 2004) Göhring, Wolf; Roeder, Stefanie; Rudolph, Volker; Salz, Stefan; Savinov, Alexandr; Scheider, Simon; Hopmann, Cornelio