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Towards a Data-driven Military : A Multidisciplinary Perspective / / ed. by Mark Voskuijl, Peter Pijpers, Robert Beeres



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Titolo: Towards a Data-driven Military : A Multidisciplinary Perspective / / ed. by Mark Voskuijl, Peter Pijpers, Robert Beeres Visualizza cluster
Pubblicazione: Leiden : , : Leiden University Press, , [2023]
©2023
Edizione: 1st ed.
Descrizione fisica: 1 online resource (358 p.)
Disciplina: 355.3432
Soggetto topico: Informationstechnik
Kommunikationstechnik
Militär
Militärische Kooperation
Technischer Fortschritt
Verteidigung
Kriegführung
Militärtechnik
Militärwissenschaft
Data Mining
COMPUTERS / Intelligence (AI) & Semantics
Soggetto non controllato: Military intelligence, Defence Strategy, Artificial Intelligence, Big Data
Persona (resp. second.): BaudetFloribert
BeeresRobertus Johannes Maria <1968->
BouwmeesterHan
BuijsTessa op den
DucheinePaul A.L.
EeMartijn van
FenemaPaul van
FilhoGeraldo de Lima
GooijerGerold de
HomborgAxel
HoogstrateAndré J.
HorlingsTess
JongHenk de
JongMichiel de
JurriusRelinde P.M.J.
KampenTon van
KramerEric-Hans
LindelaufRoy
MonsuurHerman
OsGuido van
PijpersPeter B.M.J.
PijpersPeter
PouwEric H.
PutSteven van de
RietjensSebastiaan
RijsdijkChris
SchijvenaarsGert
TheunissenErik
TiddensWieger W.
TimmermansJob
TingaTiedo
VoskuijlMark
VriendAnna C.
WerdPeter de
ZwanenburgMarten
Nota di contenuto: Frontmatter -- Table of Contents -- List of Figures -- List of Figures -- Foreword by the Dean of the Faculty, Prof. Dr. Patrick Oonincx -- Towards a data-driven military – an introduction -- PART I Data-Driven Organisation -- Chapter 1. Digitalisation, organising and organisational choice: Exploring the challenges of digital transformation using five applied sociotechnical lenses -- CHAPTER 2 Data analytics in human resource management -- CHAPTER 3 Data-driven maintenance of military systems -- CHAPTER 4 Federated learning for enabling cooperation between the Royal Netherlands Navy and external parties in developing predictive maintenance -- CHAPTER 5 Information- and data-driven organisations from promise to practice? -- PART II Data Driven Support to Decision Making -- Chapter 6. The effect of big data and AI on forecasting in defence and military applications -- CHAPTER 7 Military helicopter flight mission planning using data science and operations research -- CHAPTER 8 Applying GTSP-algorithms in maritime patrolling missions that require mutual support -- CHAPTER 9 From data to effective actions -- CHAPTER 10 Battling information overload in military intelligence & security organisations -- PART III Data Driven Operations -- Chapter 11. A conceptual investigation of the trade-off between privacy and algorithmic performance -- CHAPTER 12 Information manoeuvre and the Netherlands armed forces -- CHAPTER 13 The use of biometrics in military operations abroad and the right to private life -- CHAPTER 14 2020 Nagorno-Karabakh War -- Epilogue -- Chapter 15. War by numbers: A “technocratic hubristic fable”? -- About the editors -- About the authors
Sommario/riassunto: Towards a Data-Driven Military: A Multidisciplinary Perspective assesses the use of data and information on modern conflict from different scientific and methodological disciplines, aiming to generate valuable contributions to the ongoing discourse on data, the military and modern warfare. Part one, ‘Military Systems and Technology’, approaches the theme empirically by researching how data can enhance the utility of military materiel and subsequently accelerate the decision-making process. Part two, ‘War Studies’, takes a multidisciplinary approach to the evolution of warfare, while the third part, ‘Military Management Studies’, takes a holistic organizational and procedural approach. Based on their scientific protocols and research methods, the three domains put forward different research questions and perspectives, providing the unique character of this book.
Titolo autorizzato: Towards a data-driven military  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910847494903321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Nl Arms Series