Auflistung nach Autor:in "Scheider, Simon"
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- ZeitschriftenartikelA 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, BorisSince 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.
- ZeitschriftenartikelCurrent topics and challenges in geoAI(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, SimonTaken 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.
- ZeitschriftenartikelGeoAI(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian
- ZeitschriftenartikelGeoAI and Beyond(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-Florian; Janowicz, Krzysztof
- ZeitschriftenartikelGeoAI as Collaborative Effort(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Richter, Kai-Florian; Scheider, Simon; Tuia, Devis
- KonferenzbeitragKnowledge 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
- ZeitschriftenartikelPragmatic GeoAI: Geographic Information as Externalized Practice(KI - Künstliche Intelligenz: Vol. 37, No. 1, 2023) Scheider, Simon; Richter, Kai-FlorianCurrent artificial intelligence (AI) approaches to handle geographic information (GI) reveal a fatal blindness for the information practices of exactly those sciences whose methodological agendas are taken over with earth-shattering speed. At the same time, there is an apparent inability to remove the human from the loop, despite repeated efforts. Even though there is no question that deep learning has a large potential, for example, for automating classification methods in remote sensing or geocoding of text, current approaches to GeoAI frequently fail to deal with the pragmatic basis of spatial information, including the various practices of data generation, conceptualization and use according to some purpose. We argue that this failure is a direct consequence of a predominance of structuralist ideas about information. Structuralism is inherently blind for purposes of any spatial representation, and therefore fails to account for the intelligence required to deal with geographic information. A pragmatic turn in GeoAI is required to overcome this problem.