Call for Papers: Digital Transformations in Forensic Science
• 大类 : 工程技术 - 4区
• 小类 : 计算机：信息系统 - 4区
• 小类 : 计算机：跨学科应用 - 4区
Dependence on forensic capabilities, particularly digital forensics, is increasing in criminal, civil, and regulatory matters, including security matters such as terrorist attacks and cyber incidents. This trend is driving decentralization and commoditization of forensic capabilities, placing powerful tools in the hands of non-specialists to deal with immediate problems in isolation, without the support of Forensic Science infrastructures. This separation from Forensic Science principles and practices may lead to errors and omissions, especially in digital forensics, which endangers individual liberties and diminishes trust in Forensic Science as a whole. This separation also diminishes the opportunities for Forensic Science to gain a holistic insight into its fundamental objects of study, thus potentially missing crucial information and jeopardizing its future health/growth.
Forensic Science cannot reverse the decentralization movement but can seize the opportunity to connect with disparate deployments of forensic capabilities, receiving data and delivering knowledge. Combining the data being gathered in multitude of different environments generates greater understanding of forensic findings and their usefulness, as well as a more comprehensive understanding of crime, malfeasance, and security-relevant problems. Altering Forensic Science from a diffusion of different disciplines into a unified amalgamation of knowledge serving the common purposes of abating crime, strengthening security, and reinforcing the criminal justice system requires a digital transformation.
This special issue invites submissions related to digital transformations in Forensic Science, including the following topics of specific interest:
+ Pertinent opinion pieces, commentary articles and case reports
+ Legal perspectives on maintaining continuity of evidence and repeatability of forensic findings when forensic capabilities are used in the field by non-scientists (e.g., risk of evidence not being preserved for independent examination).
+ Legal and ethical perspectives on relying on links established using artificial intelligence or machine learning
+ Solutions and strategies for managing opportunities and challenges of decentralization of forensic capabilities
+ Rationales and approaches for fusion of physical and/or digital forensic results
+ Interdependence and independence of Forensic Science and investigative operations
+ Interrelations between Forensic Science and forensic intelligence
+ Big data analysis applied to Forensic Science, combining physical and/or digital forensic results
+ Artificial intelligence / Machine learning applied to Forensic Science
+ Social media as part of traditional investigations
+ Quality assurance when forensic capabilities are used in decentralized contexts
+ Challenges and opportunities associated with biometrics in Forensic Science and digital forensics
+ Centralised research, development and administration of advanced forensic capabilities, made available throughout a decentralized forensic ecosystem
+ Strategies for handling the rapid rate of advancement in Forensic Science knowledge and technological developments.
+ Harmonisation of data formats and exchange of forensic information between tools, organizations and countries
+ Knowledge management, training and education
+ Explicability and evaluation of forensic results and automated processing