Overview
Crime, in all its forms, poses a risk to collective safety and well-being. Supporting law enforcement with advanced tools
is essential to improve safety and the impact of criminal activities.
In the specific case of violent crime, one of the most effective investigative tools currently available is forensic
evidence analysis, a technique that enables the examination of the morphology and distribution of physical traces at
the crime scene, providing valuable elements for the reconstruction of events. However, despite the existence of specific
guidelines, investigations are often inaccurate due to several critical issues: contamination of the crime scene, biased
analysis due to human error, poor communication between the actors involved, and difficulties in preserving the integrity
of the evidence collected.
To address these issues more effectively, it is crucial to adopt innovative technological solutions that introduce more
advanced methodologies and tools in crime scene management. These approaches allow for filling existing gaps, optimizing
time and cost, and reducing the risk of contamination of evidence. Emerging technologies, particularly artificial intelligence,
can make significant contributions through tools such as automated evidence collection, advanced analysis with decision support,
and digital reconstruction of crime scenes. More generally, it is crucial to develop innovative solutions to deal with different forms of crime, such as assault,
gender-based violence or theft, phenomena that are unfortunately becoming increasingly common in today's society.
Technologies such as machine learning, computer vision, and augmented reality, including wearable devices,
open up new possibilities to support investigations and provide concrete assistance to victims. These innovations can increase investigative effectiveness,
improve the perception of public safety, and reduce operational costs. A key element is human-computer interaction, which ensures intuitive tools
that can be easily used by professionals in the field.
Topics
This workshop aims to serve as a venue to discuss ongoing research and exchange
ideas for researchers and practitioners who are working, or would like to start
working, on solutions to assist law enforcement agencies in analysing, managing
and solving crime through artificial intelligence solutions. We aim to encourage
participation in order to have a stimulating discussion from different
perspectives. Topics may include but are not limited to:
Forensic Intelligence and Decision Support
Crime Scene Analyses
Case-studies on Crime Analyses
Context-aware decision making
Decision support system
Process management in complex domains
Domain-specific data collection
Data Engineering and AI Technologies
Data Extraction, Transformation and Loading
Data preparation and processing
AI-based systems
Emotional AI
Neuro-Symbolic AI
Conversational AI and voice interfaces
AI-based adaptive systems
Ethics, Trust, and Responsible AI
Secure AI
Unbiased AI systems
Ethics and Trustworthy AI
Awareness and transparency in technology usage
Environmental impacts of technologies
Distributed interactions among intelligent systems
Human-Centered and Sensory Technologies
Personalization and predictive interaction
Immersive experiences and virtual environments
Integration of technologies in complex domains
Haptic and olfactory technologies
New sensory dimensions for user experiences
Redefining human capabilities through technology
Submissions
This will be a half-day workshop, oriented towards discussions and presentations.
Participants are invited to submit papers of 5 - 9 pages, with 5 pages at minimum.
Participants are asked to submit their paper describing their
recent or future work in one of the areas indicated in the topics of interest.
All submissions must be in the "1-column CEURART" template, available at the
following link:
Papers should be submitted in PDF to EasyChair
(https://easychair.org/conferences/?conf=cristain2025). All papers will
be reviewed by the organizers and by the program committee based on
relevance and significance in order to provide constructive comments to
the submitters. Reviewing will be single blind (i.e. author names and
affiliations should be listed). If accepted, at least one of the authors
must register and attend the workshop.
Final versions of the accepted papers will be published in the CEUR Workshop Proceedings (http://ceur-ws.org/), which is indexed by Scopus.
Organizers
Eleonora Calò is a Ph.D. student at the Computer Science Department of the University of Salerno. Her research interests
are in the field of Artificial Intelligence, specifically in Neuro Symbolic AI systems and their application in critical domains.
She was a student volunteer for the EDBT/ICDT 2024 Joint Conference, helping to define the scientific program for the international
conference. She is a reviewer for international journals and conferences such as European Symposium on Usable Security (EuroUSEC),
IEEE Internet of Things Journal, Soft Computing, and IEEE International Conference on Data Engineering (ICDE).
Loredana Caruccio is an Associate Professor at the Computer Science Department of the University of Salerno. She completed her Ph.D.
in Management \& Information Technology in 2018 and worked as a postdoctoral research fellow until 2021 and as a tenure-track Assistant
Professor until 2024. She has conducted research visits at the Hasso Plattner Institute (2017) and the LIRIS research lab in France (2020).
She has held organizational roles in several international conferences, including serving as General Chair of EDBT/ICDT 2024 and Program
co-Chair of various international conferences, such as DMSVIVA and SEKE, in 2020 and 2024, respectively. She is currently vice co-Chair
of the IEEE Big Data Conference. Her research interests include Data Science, Artificial Intelligence, and End User Development, in which
she has published numerous articles in international journals and conference proceedings.
Autilia Vitiello is a tenure-track Assistant Professor at the Department of Physics "Ettore Pancini" of the University of Naples Federico II
since 2022. She obtained her Ph.D. in Computer Science from the University of Salerno in 2013. She was an Assistant Professor from December 2018 to
July 2022. Her research interests include computational intelligence and its integration with quantum computing. Dr. Vitiello is the Chair of the
IEEE-SA P2976 Working Group (WG), and she acts as a Secretary for the IEEE-SA 1855 WG. She is an Editorial Board member of Springer Quantum Machine
Intelligence. Moreover, she is the Principal Investigator of the project BLOODSTAIN funded in the program PRIN 2022 (grant number E53D23008040001).
She was the recipient of the Best Paper Award at the United Kingdom Workshop on Computational Intelligence, UKCI 2012 (Edinburgh, Scotland, U.K.),
of the Best Paper Award at the 2021 IEEE International Conference on Fuzzy Systems, IBM Quantum Experience Academic Research Program Award, and IEEE
Computer Society Emerging Technology Grant to initiate the creation of a new research network in the field of quantum artificial intelligence in 2022.
Program Committee
| Giovanni Acampora | University of Naples Federico II |
| Eleonora Calò | University of Salerno |
| Loredana Caruccio | University of Salerno |
| Angela Chiatto | University of Naples Federico II |
| Marianna Santoro | IRCCS Policlinico di Sant’Orsola, Hospital Company University of Bologna |
| Roberto Schiattarella | University of Naples Federico II |
| Autilia Vitiello | University of Naples Federico II |
| Additional names will be announced soon |
