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 both to victims and practitioners of this area. These innovations can increase investigative effectiveness, improve the perception of public safety, and reduce operational costs. A key element is a human-centered approach, which ensures effective and ethical tools that can be easily used by professionals in the field. This includes building trust in automated systems, supporting human oversight and interpretability, and enabling collaborative decision-making between humans and machines. Particular attention will be provided to how human-centered methods can help in the mitigation risks and biases that should be properly handled in AI-based systems. Such methods ensure that professionals across various domains can confidently integrate AI tools into their workflows, without requiring deep technical knowledge of the underlying algorithms.

Workshop program

Presentations should be about 15 minutes long with 5 minutes of Q&A

Time Title/Activity Minori Room
09:00 - 09:20 Welcome and Introduction
09:20 - 09:40 An Architectural Framework for the Construction of a Crime Narrative Corpus from Judicial Records
Giovanni Acampora, Bilal Ahmed and Autilia Vitiello		 Session Chair:
Loredana Caruccio
09:40 - 10:00 Estimating Bloodstain Age from Colorimetric Parameters Using Neural Network Regression
Giovanni Acampora and Autilia Vitiello
10:00 - 10:20 A Comparison of Convolutional Neural Networks using Transfer Learning for Cannabis Seed Classification
Giovanni Acampora, Carme Barrot-Feixat, Michele Di Nunzio, Marianna Santoro and Autilia Vitiello
10:20 - 11:00 Coffee Break
11:00 - 11:20 Assistance and bias checking for writing crime news
Eleonora Calò, Loredana Caruccio and Grazia Margarella		 Session Chair:
Autilia Vitiello
11:20 - 11:40 A Methodology for Extracting Key Information from Crime News
Eleonora Calò, Loredana Caruccio, Genoveffa Tortora and
Livio Vona
11:40 - 12:00 GRACE: Graph-based Representation and Analysis for
Crime Exploration
Gianpaolo Iuliano, Grazia Margarella, Giuseppe Polese and Roberto Stanzione
12:00 - 12:30 Brainstorming and discussion

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 and managing the investigation process through artificial intelligence, by focusing on usability, transparency, and responsiveness. HCI ensures that professionals across various domains can confidently integrate AI tools into their workflows, without requiring deep technical knowledge of the underlying algorithms. 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
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
Federica Rollo University of Modena and Reggio Emilia
Autilia Vitiello University of Naples Federico II
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