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Sarah Shtaierman

Biographic Data

ID9955490
NAMESarah Shtaierman
GIVEN NAMESSarah
FAMILY NAMEShtaierman
SIGNATURESHTAIERMAN S
AFFILIATIONSTechnical University of Munich
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • The Potentials and Limitations of Agent-Based Models for Urban Digital Twins

    Open Access•Sarah Shtaierman, Ana Catarina Fontes et al.•ARTICLE•Urban Planning•2025

    Although urban digital twins are still at an embryonic stage of development, their use cases are multiple, ranging from big data aggregation to simulations. Additionally, predictions can be rendered and quickly implemented using actuators to transform physical environments and influence urban life. In this article, we investigate the potential of an agent-based model in a smart city setting to predict emergent behavior in relation to the suppress…

No prominent works on this page.

  • The Potentials and Limitations of Agent-Based Models for Urban Digital Twins

    Open Access•Sarah Shtaierman, Ana Catarina Fontes et al.•ARTICLE•Urban Planning•2025

    Although urban digital twins are still at an embryonic stage of development, their use cases are multiple, ranging from big data aggregation to simulations. Additionally, predictions can be rendered and quickly implemented using actuators to transform physical environments and influence urban life. In this article, we investigate the potential of an agent-based model in a smart city setting to predict emergent behavior in relation to the suppress…

Agent-based model (1 work) · Artificial Intelligence (1 work) · Cognitive psychology (1 work) · Computer Science (1 work) · Data science (1 work) · Economic and Technological Systems Analysis (1 work) · Human Mobility and Location-Based Analysis (1 work) · Human–computer interaction (1 work) · Psychology (1 work) · Smart Cities and Technologies (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae