Call For Papers

If you are a researcher, industry professional or academic with innovative work in data analytics or artificial intelligence, we invite you to submit your proposal! The best contributions will be published in collaboration with the international publisher Springer in Lecture Notes in Computer Science.

APRIL

28

PAPER SUBMISSION
DATE DEADLINE

MAY

9

ACCEPTANCE
NOTIFICATION

MAY

12

EARLY BIRD
REGISTRATION

MAY

15

CAMERA- READY

MAY

31

ABSTRACTS SUBMISSION
DATE DEADLINE

JUNE

6

LAST ACCEPTANCE
NOTIFICATION

We accept three types of submissions (LNCS format, Springer).
Double-blind peer review will be conducted for regular and short papers.

Regular Paper

(up to 15 pages) – original research contributions

Short Paper

(up to 11 pages) – extended abstracts of novel research

Abstract

high-quality published or preliminary works

Proceedings & Special Issues 

Regular & Short papers will be published in Springer’s LNCS series (post-proceedings).

Abstracts will not be included in LNCS but will be compiled into an electronic book available on the conference website. Abstracts representing preliminary recent works will have the opportunity to be extended into regular paper for inclusion in the LNCS Volume after a double-blind review process.

Selected papers may be invited for other Scopus-indexed journal: Internet of Things (Elsevier) and Soft Computing (Springer). Additional special issues will be announced at a later stage.

Please note: A registration fee will be required for all participants to help cover organizational costs. Each presenting author cannot register for more than ONE paper.

Confirmed Sessions/Tracks

Decision Science in Healthcare, Life Style, Pharma & Hospitals

Giacomo Belloni – Airline Captain & Researcher, Abu Dhabi

AI-Driven Risk and Complexity Management

Marc Bara – EAE Buesiness School, Spain

From Runways to Roadways: Decision Intelligence in Motion

Javier Faulin – Public University of Navarre, Spain and Luis Cadarso – University Rey Juan Carlos, Spain

Machine Learning for Decision Science

Francesco Zito – University of Catania, Italy
Alessio Mezzina – University of Catania, Italy

Generative AI: Business Impact & Automation Processes

Carmine Cerrone, University Of Genova, Italy

Intelligent Control: Decision-Driven Robotics and Automation

Franco Cavadini -Gr3n, Switzerland
Emanuele Carpanzano – SUPSI, Switzerland

Decision Science In Soft Computing

Raffaele Cerulli – University of Salerno, Italy

Machine Learning and Agent-Based Models for Decision Making

Carolina Crespi – University of Catania, Italy
Francesco Zito – University of Catania, Italy”

Decision Science in Logistics & Supply Chain

Claudia Cavallaro – University of Catania, Italy

The Power of Decision Science with AI & Analytics

Angel A. Juan – Universitat Politècnica de València, Spain

Innovative Decision Science for Urban Futures

Alberto Ceselli – University of Milan, Italy

AI in Corporate Strategy

David López López – ESADE, Spain
Patricia Rodriguez – Open University of Catalonia, Spain

From Sensors to Solutions:
Decision Science in the IoT Era

Fatos Xhafa – Universitat Politècnica de Catalunya, Spain

Data-Driven Fashion

Ludovica Maccarrone – Modelite Italy

Decision Science in Investment

Alessandro Cascia, Brand Ambassador Azimut Capital Management

Leveraging Decision-Making for a Greener Future

Matteo Pozzi – Optit, Italy

Decision Science in Pricing Optimization

Paolo Massafra, Research Wing, Italy

Real Time, Data-Driven, Smarter: Rethinking Production and Logistics with Decision Models

Michela Manini – Digital Transformation Enabler, Lecturer at Supsi DTI and Silvia Mari – Responsible Continuing Education at Supsi DTI

Greener Decisions: Data-Driven Strategies
for a Sustainable Future

Raffaele Solaini, PLEF, Italy

Designing with Data: Decision Science
at the Core of Creativity

Luca Lisci – DSA, Switzerland

Smart Retail: Enhancing Fashion & Luxury
with Decision Science

Ludovica Maccarrone, Modelite, Italy

The Future of Procurement Intelligence

Maurizio Stanca, Executive Advisor | Procurement Director  Alma Viva

Towards Society 5.0 using the levers of Industry 4.0

Pau Fonseca i Casas, Co-Director of the “Industry 4.0” MS Program at Fundació Politècnica de Catalunya. Co-Founder at Polyhedra Tech

Optimization and Decision Making for Socio-Economic Sciences