activity
20162026
most cited-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers

62 citations · 242 across the 29 of their papers we have counts for

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Showing cs.CYShow all

9 papers · 1 filter

cs.CY2026

Digital Twins for Small Towns and Rural Regions: Data Integration, Simulation and Visualisation Across Three Use Cases in Lower Austria

Thomas Delissen, Lukas Daniel Klausner, Maximilian Lackner +2

Smart city and digital twin concepts hold considerable potential for improving local governance and planning, yet practical implementations have almost exclusively focused on large…

cs.CY2023

"This (Smart) Town Ain't Big Enough": Smart Small Towns and Digital Twins for Sustainable Urban and Regional Development

Gabriela Viale Pereira, Lukas Daniel Klausner, Lucy Temple +3

One of the major challenges today lies in the creation of governance concepts for regional development that not only promote growth but, at the same time, ensure promotion of inclu…

cs.CY2023★ 3 cited

Smart Cities and Digital Twins in Lower Austria

Gabriela Viale Pereira, Lukas Daniel Klausner, Lucy Temple +3

Smart city solutions require innovative governance approaches together with the smart use of technology, such as digital twins, by city managers and policymakers to manage the big…

cs.CY2023

"Schöne neue Lieferkettenwelt": Workers' Voice und Arbeitsstandards in Zeiten algorithmischer Vorhersage

Lukas Daniel Klausner, Maximilian Heimstädt, Leonhard Dobusch

The complexity and increasingly tight coupling of supply chains poses a major logistical challenge for leading companies. Another challenge is that leading companies -- under press…

cs.CY2022

Wer ist schuld, wenn Algorithmen irren? Entscheidungsautomatisierung, Organisationen und Verantwortung

Angelika Adensamer, Rita Gsenger, Lukas Daniel Klausner

Algorithmic decision support (ADS) is increasingly used in a whole array of different contexts and structures in various areas of society, influencing many people's lives. Its use…

cs.CY2021★ 25 cited

"Computer Says No": Algorithmic Decision Support and Organisational Responsibility

Angelika Adensamer, Rita Gsenger, Lukas Daniel Klausner

Algorithmic decision support is increasingly used in a whole array of different contexts and structures in various areas of society, influencing many people's lives. Its use raises…

cs.CY2021★ 59 cited

"Part Man, Part Machine, All Cop": Automation in Policing

Angelika Adensamer, Lukas Daniel Klausner

Digitisation, automation and datafication permeate policing and justice more and more each year -- from predictive policing methods through recidivism prediction to automated biome…

cs.CY2021★ 1 cited

Trust Me If You Can: Trusted Transformation Between (JSON) Schemas to Support Global Authentication of Education Credentials

Stefan More, Peter Grassberger, Felix Hörandner +2

Recruiters and institutions around the world struggle with the verification of diplomas issued in a diverse and global education setting. Firstly, it is a nontrivial problem to ide…

cs.CY2019★ 1 cited

Ich weiß, was du nächsten Sommer getan haben wirst: Predictive Policing in Österreich

Angelika Adensamer, Lukas Daniel Klausner

Predictive policing is a data-based, predictive analytical technique used in law enforcement. In this paper, we give an overview of the current situation in Austria and discuss tec…