Roy Lindelauf

Biographic Data

ID635670
NAMERoy Lindelauf
GIVEN NAMESRoy
FAMILY NAMELindelauf
SIGNATURELINDELAUF R
AFFILIATIONSNetherlands Defence Academy
ORCID0000-0001-7688-3645
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS18
AUTHOR COUNT11
EDITOR COUNT0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2026
H-INDEX2

  • Self-organized social distancing

    Anne Buijsrogge, Jan-Tino Brethouwer et al.ARTICLEJournal of Mathematical Sociology2026References: 14

    Published online: 09 February 2026

  • Machine Learning Techniques to Predict Terrorist Attacks

    Open AccessLaura Mostert, Roy Lindelauf et al.BOOKMachine Learning Techniques to…2025

  • Operationalising responsible AI in the military domain

    Open AccessHerwin Meerveld, Lonneke Peperkamp et al.ARTICLEEthics and Information Technology2025References: 4

    Rapid integration of Artificial Intelligence (AI) into the military domain necessitates actionable strategies for translating high-level principles of responsible use into practical guidelines. However, there remains a problematic gap between these principles and the norms that govern the use of AI in military operations. Moreover, these norms are highly dependent on the particular context in which military AI is deployed. This leads to normative…

  • Data Science in Military Decision-Making

    Open AccessHerwin Meerveld, Roy LindelaufARTICLEGlobal Society2024Cited by: 1

    In contemporary warfare, data science is crucial for the military in achieving information superiority. To gain an overview of the topic, 158 peer-reviewed articles were analysed through a semi-systematic literature review. The proportion of social science literature with a focus on risks of data science implies that policymakers are disproportionally influenced by a pessimistic view on military data science. The perceived risks of data science, …

  • The irresponsibility of not using AI in the military

    Open AccessHerwin Meerveld, H W Meerveld et al.ARTICLEEthics and Information Technology2023

    The ongoing debate on the ethics of using artificial intelligence (AI) in military contexts has been negatively impacted by the predominant focus on the use of lethal autonomous weapon systems (LAWS) in war. However, AI technologies have a considerably broader scope and present opportunities for decision support optimization across the entire spectrum of the military decision-making process (MDMP). These opportunities cannot be ignored. Instead o…

  • Understanding the timing of Chinese border incursions into India

    Open AccessKevin Greene, Kevin T Greene et al.ARTICLEHumanities and Social Sciences…2021

    Since the 1960s China and India have engaged in a dispute about the demarcation of their shared border. This territorial dispute led to a brief war in 1962, and recurring flare-ups over the following decades, including during the summer of 2020. The potential for further escalation of this dispute poses significant risks to Indian and Chinese civilians, US foreign policy objectives, and the stability of the international economic system. Despite …

  • A new approximation method for the Shapley value applied to the WTC 9/11 terrorist attack

    Open AccessTjeerd van Campen, Tjeerd Campen et al.ARTICLESocial Network Analysis and Mining2018

    The Shapley value (Shapley in Ann Math Stud 2:28, 1953) is one of the most prominent one-point solution concepts in cooperative game theory that divides revenues (or cost, power) that can be obtained by cooperation of players in the game. The Shapley value is mathematically characterized by properties that have appealing real-world interpretations and hence its use in practical settings is easily justified. The down part is that its computational…

  • Ranking terrorists in networks

    Open AccessBart Husslage, B G M Husslage et al.ARTICLESocial Networks2015

  • One-mode projection analysis and design of covert affiliation networks

    Open AccessRoy Lindelauf, Peter Borm et al.ARTICLESocial Networks2012Cited by: 2References: 10

  • The influence of secrecy on the communication structure of covert networks

    Open AccessRoy Lindelauf, Peter Borm et al.ARTICLESocial Networks2009Cited by: 15References: 4

  • Mass-mobilization with noisy conditional beliefs

    Open AccessMaurice Koster, Roy Lindelauf et al.ARTICLEMathematical Social Sciences2008References: 5