Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations

Hüseyin Umutcan Ay; Alime Aysu Öner; Nihan Yıldırım

doi:10.1007/978-3-030-86611-2_3

Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations

Hüseyin Umutcan Ay^*, Alime Aysu Öner, Nihan Yıldırım

^*Corresponding author for this work

Department of Management Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Domestic violence against women in Turkey is an ongoing problem that the authorities had yet to find solutions to prevent from ever occurring. There exist some technological tools such as the panic button for the women under threat or piloting the ankle bracelets provided for the restraining orders in some regions of Turkey. However, each day's increasing number of femicides shows that those attempts stayed insufficient to bring sustainable solutions to this devastating problem. Most system failures are caused by a system defect concerning inter-institutional information flows and the multi-stakeholder process problem. This multilayered phenomenon requires an integrated approach and intelligent solutions rather than focusing only on a singular failure point in the institutional system of preventing femicides. In this context, this study aims to propose a logical system design framework to integrate crime prediction and prevention solutions into the institutional system. By satisfying prediction, prevention, and protection functions simultaneously, it aims to address most of the existing system's pain points.

Original language	English
Title of host publication	Electronic Government and the Information Systems Perspective - 10th International Conference, EGOVIS 2021, Proceedings
Editors	Andrea Kö, Enrico Francesconi, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	34-45
Number of pages	12
ISBN (Print)	9783030866105
DOIs	https://doi.org/10.1007/978-3-030-86611-2_3
Publication status	Published - 2021
Event	10th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2021 - Virtual, Online Duration: 27 Sept 2021 → 30 Sept 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12926 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2021
City	Virtual, Online
Period	27/09/21 → 30/09/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Domestic violence
Femicides
Information systems
Institutional system design
Restraining order

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-86611-2_3

Cite this

Ay, H. U., Aysu Öner, A., & Yıldırım, N. (2021). Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations. In A. Kö, E. Francesconi, G. Kotsis, A. M. Tjoa, & I. Khalil (Eds.), Electronic Government and the Information Systems Perspective - 10th International Conference, EGOVIS 2021, Proceedings (pp. 34-45). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12926 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86611-2_3

Ay, Hüseyin Umutcan ; Aysu Öner, Alime ; Yıldırım, Nihan. / Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations. Electronic Government and the Information Systems Perspective - 10th International Conference, EGOVIS 2021, Proceedings. editor / Andrea Kö ; Enrico Francesconi ; Gabriele Kotsis ; A Min Tjoa ; Ismail Khalil. Springer Science and Business Media Deutschland GmbH, 2021. pp. 34-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Domestic violence against women in Turkey is an ongoing problem that the authorities had yet to find solutions to prevent from ever occurring. There exist some technological tools such as the panic button for the women under threat or piloting the ankle bracelets provided for the restraining orders in some regions of Turkey. However, each day's increasing number of femicides shows that those attempts stayed insufficient to bring sustainable solutions to this devastating problem. Most system failures are caused by a system defect concerning inter-institutional information flows and the multi-stakeholder process problem. This multilayered phenomenon requires an integrated approach and intelligent solutions rather than focusing only on a singular failure point in the institutional system of preventing femicides. In this context, this study aims to propose a logical system design framework to integrate crime prediction and prevention solutions into the institutional system. By satisfying prediction, prevention, and protection functions simultaneously, it aims to address most of the existing system's pain points.",

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Ay, HU, Aysu Öner, A & Yıldırım, N 2021, Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations. in A Kö, E Francesconi, G Kotsis, AM Tjoa & I Khalil (eds), Electronic Government and the Information Systems Perspective - 10th International Conference, EGOVIS 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12926 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 34-45, 10th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2021, Virtual, Online, 27/09/21. https://doi.org/10.1007/978-3-030-86611-2_3

Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations. / Ay, Hüseyin Umutcan; Aysu Öner, Alime; Yıldırım, Nihan.
Electronic Government and the Information Systems Perspective - 10th International Conference, EGOVIS 2021, Proceedings. ed. / Andrea Kö; Enrico Francesconi; Gabriele Kotsis; A Min Tjoa; Ismail Khalil. Springer Science and Business Media Deutschland GmbH, 2021. p. 34-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12926 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yıldırım, Nihan

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Ay HU, Aysu Öner A, Yıldırım N. Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations. In Kö A, Francesconi E, Kotsis G, Tjoa AM, Khalil I, editors, Electronic Government and the Information Systems Perspective - 10th International Conference, EGOVIS 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 34-45. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-86611-2_3

Can Tech4Good Prevent Domestic Violence and Femicides? An Intelligent System Design Proposal for Restraining Order Implementations

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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