2do Congreso Internacional en Inteligencia Artificial y Educación (CIIAE 2025)

Llamada preliminar de trabajos
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2do Congreso Internacional en Inteligencia Artificial y Educación (CIIAE 2025)

Nuevas Fronteras en la Educación

12 a 14 de Noviembre 2025

Tandil, Bs. As., Argentina – Evento Híbrido
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Fecha de envío de trabajos: *** 1 de Agosto, 2025 ***

Website: https://ciiae.isistan.unicen.edu.ar/

OBJETIVO
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El 2do Congreso Internacional en Inteligencia Artificial y Educación (CIIAE) tiene por objetivo retomar y ampliar las líneas de debates que surgieron en el 1CIIAE realizado en 2024. En esta segunda edición, el lema del CIIAE será “Inteligencia Artificial: Nuevas fronteras en la Educación” y se procura profundizar, explorar y comprender cómo la Inteligencia Artificial Generativa (IAG) puede incidir en el proceso de enseñanza y aprendizaje en los diferentes niveles del sistema educativo y sus impactos en otras esferas de la sociedad. En el 2CIIAE se pretende generar un espacio para continuar compartiendo conocimientos, experiencias, investigaciones, proyectos y perspectivas luego de un tiempo más prolongado de la irrupción de recursos de IAG como el ChatGPT en las aulas y la sociedad.

EJES DE INTERÉS
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Solicitamos contribuciones en todos los temas relacionados con la IA generativa en Educación, centrados en (pero no limitados a) la siguiente lista:

– Material de enseñanza/aprendizaje: Propuestas de recursos de enseñanza que involucren el uso de IAG. Apoyo de la IAG para diseñar material didáctico. Usos de la IA para la generación de contenido personalizado
– LLMs en la práctica educativa: Usos de chatbots como recurso didáctico. Propuestas para el aula. Experiencias de aula. Evaluación de LLMs en distintas áreas disciplinares
– Evaluación: Utilización de IAG para prácticas de evaluación. Desafíos de la evaluación en tiempos de la IAG
– Ética: Cuestiones éticas de la IA generativa en la educación. Aspectos socio técnicos de la IAG en entornos educativos. Malas prácticas de la IAG en la educación. Acciones para evitar copia y plagio desde la IAG
– Curriculum: IAG y curriculum en diferentes niveles educativos
– Educación STEM: Solicitudes de IAG para educación interdisciplinaria o educación STEM
– Teorías en Educación y modelos de IAG
– Políticas Educativas que consideren IAG
– Formación Docente en tecnologías que incluyan IAG: formación inicial y formación continua
– Impacto ambiental de la IA: Concientización del uso de recursos de IAG y el impacto ambiental.
– Otros temas relacionados con el uso de la IAG en educación

ENVÍO Y EVALUACIÓN DE TRABAJOS
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Se aceptarán trabajos en español, portugués, francés e inglés. Los trabajos deberán tener un mínimo de 6 páginas y un máximo de 8, incluyendo resumen, palabras clave, introducción, enfoque metodológico, resultados, conclusiones y referencias.

Los artículos serán enviados a tres miembros del Comité de Programa para ser evaluados en función de su originalidad, calidad técnica, impacto potencial, perspicacia, profundidad, claridad y reproducibilidad. Todos los artículos aceptados se incluirán en las actas de la conferencia, siempre que al menos uno de los autores asista a presentar el trabajo.

FECHAS IMPORTANTES
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Envío de trabajos: Agosto 1, 2025
Notificación a autores: Septiembre 15, 2025
Conferencia: Noviembre 12-14, 2025

COMITÉ ORGANIZADOR
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Ana Corica, NIEM (Núcleo de Investigación en Educación Matemática, UNCPBA) – ISISTAN (CONICET/UNCPBA), Argentina
Daniela Godoy, ISISTAN (CONICET/UNCPBA), Argentina
Verónica Parra, NIEM (Núcleo de Investigación en Educación Matemática, UNCPBA) – ISISTAN (CONICET/UNCPBA), Argentina
Silvia Schiaffino, ISISTAN (CONICET/UNCPBA), Argentina
Patricia Sureda, NIEM (Núcleo de Investigación en Educación Matemática, UNCPBA) – ISISTAN (CONICET/UNCPBA), Argentina

CONTACTO
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Para más información contactarse a: ciiae@isistan.unicen.edu.ar

Call For Papers – 37th IEEE International Conference on Tools with Artificial Intelligence – Nov 3-Nov 5, 2025 – Athens, Greece

The 37th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) organizing committee is inviting you to submit your research papers. The conference will be held in person, on November 3rd till November 5th, 2025 in Athens, Greece!
The IEEE International Conference on Tools with Artificial Intelligence (ICTAI) is a leading IEEE-CS annual scientific meeting for more than three decades. It provides a major international forum where the creation and exchange of ideas related to artificial intelligence are fostered among academia, industry, and government agencies. The conference facilitates the cross-fertilization of these ideas and promotes their transfer into practical tools, for developing intelligent systems and pursuing artificial intelligence applications. The ICTAI encompasses all technical aspects of specifying, developing and evaluating the theoretical underpinnings and applied mechanisms of the AI-based components such as algorithms, architectures and languages.
Topics include (but not limited to):
  1.  AI Foundations
  2.  AI in Domain-specific Applications
  3.  AI in Computer Systems
  4.  AI in Data Analytics, Data Mining and Big Data
  5.  AI in Smart Cities
  6.  Machine Learning
  7.  Knowledge Representation, Reasoning, Cognition
  8.  AI and Decision Systems
  9.  Uncertainty in AI
  10.  Natural Language Processing
  11.  AI and Societal Impact
General Chair: Dr. Nikolaos Bourbakis, Purdue University (nbourbak@purdue.edu)
Co-Program Chair: Dr. Arnaud Lallouet, Huawei Technologies Ltd (arnaud.lallouet@huawei.com)
Co-Program Chair: Dr. Michail Alexiou, Kennesaw State University (malexiou@kennesaw.edu)
Special Track – Workshops (Following the Conference Publication Rules and Guidelines):
  1. AI and Maritime Applications – Special Track Chair Dr. Rahul Dubey
  2. AI and Software Engineering – Special Track Co-Chairs Dr. Maria Virvou & Dr. George Tsihrintzis
  3. AI and Assistive Technologies for People in Need – Dr. Nikolaos Bourbakis & Dr. Despina Kavraki
Important Dates:
Paper submission: June 12, 2025
Acceptance notification: August 20, 2025
Camera-ready: September 20, 2025
All submissions should be made through the conference's website: https://easyconferences.eu/ictai2025/
We look forward to your submissions!
Best Regards,
Sachin Sharma
ICTAI 2025 Publicity Chair

FLLM2025 (Co-Sponsored by IEEE): The 3nd International Conference on Foundation and Large Language Models, 25-28 November, 2025 | Vienna, Austria

DDP 2025 Workshop on Data Analytics in Biomedicine

Second International Workshop on Data Analytics in Biomedicine
held in conjunction with DDP2025 (IEEE)
Luton, UK
18-20 August 2025
https://socio.org.uk/ddp/workshopinter.php

CALL FOR PAPERS

The exponential growth of data generated from various textual sources
presents both a challenge and a huge opportunity. A key challenge lies
in effectively managing and extracting valuable insights from this vast
amount of unstructured and heterogeneous data. To address this issue,
advanced data analytics techniques, ranging from data and text mining to
semantic network analysis and recent advancements in large language
models (LLMs), have become indispensable tools for researchers and
practitioners.
This is particularly relevant in the realm of biomedicine, where text
mining has shown the ability to enable researchers to uncover hidden
patterns, trends, and associations that would otherwise remain buried in
the vast amount of health-related textual data, as research articles,
clinical reports, and electronic health records (EHRs).

On the other hand, semantic network analysis, which focuses on
understanding the structure and dynamics of networks formed by entities
and their interconnections derived from text mining processes, can
facilitate a deeper understanding of the complex interrelationships
within biomedical data. By analyzing properties like centrality,
modularity, and community structures, researchers can identify key nodes
and critical pathways in biological networks, predict disease
associations, and explore the functional organization of biological
systems.
Integrating text mining, semantic network analysis, and large language
models offers a powerful approach to enhance the ability to generate new
hypotheses and insights and support the development of more effective
diagnostics, treatments, and interventions.
The workshop represents an opportunity to explore the latest
advancements in data analytics and text mining in biomedicine. Attendees
will gain insights into developing more interpretable models, handling
large-scale biomedical datasets, and implementing scalable solutions for
real-world healthcare applications.

Moreover, the workshop is highly relevant because it has the potential
to significantly improve the safety, effectiveness, and efficiency of
biomedical interventions through advanced data analytics.

TOPIC OF INTEREST

We invite submissions on a wide range of topics, including but not
limited to:
•       Novel techniques and measures for assessing textual data quality and
handling data integration.
•       Advanced text-mining techniques for biomedical data
•       Construction and analysis of semantic networks in biomedicine
•       Case studies on integrated text mining and semantic network analysis
•       Applications of LLMs in biomedicine
•       Data analytics in precision medicine
•       Text-driven approaches to drug discovery
•       Interpretable or scalable data analytics approaches
•       Application of data analytics and network science in narrative
medicine
•       Computational methods for disease modeling and prediction
•       Ethical considerations in biomedical data analytics
•       Multimodal biomedical data analytics
•       Future trends and challenges in biomedical data analytics

PROGRAM
The workshop will take place on (To Be Announced). The program is not
available yet.

PAPER SUBMISSION –

REGISTRATION AND PUBLICATION

Please refer to socio.org.uk/ddp/

IMPORTANT DATES

Submission of Papers:   June 20, 2025
Notification of Acceptance/Rejection:   July 15, 2025
Camera-ready:   August 10, 2025
Registration:   August 10, 2025
Conference Dates:   August 18-20, 2025
Post-Conference Proceedings Release:   November 30, 2025

WORKSHOP ORGANIZERs

Chiara Zucco, University Magna Graecia of Catanzaro, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Marianna Milano, University Magna Graecia of Catanzaro, Italy

PROGRAM COMMITTEE (TO BE CONFIRMED)

Marzia Settino, University of Calabria, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Maria Chiara Martinis, University Magna Graecia of Catanzaro, Italy
Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy
Pietro Cinaglia, University Magna Graecia of Catanzaro, Italy
Ilaria Lazzaro, University Magna Graecia of Catanzaro, Italy

Contact: ddp@socio.org.uk

BIOVID Challenge and Workshop at ICIAP 2025

Call for Papers & Participation – Biometric Authentication Challenge @ ICIAP 2025
Dear colleagues,
We are excited to invite you to participate in the Dual Factor Lip-Based Biometric User Authentication Workshop and Challenge, which will be held in conjunction with ICIAP 2025.
This event focuses on cutting-edge approaches to biometric authentication using a unique dataset of lip movement videos. Participants will develop systems that combine visual and audio cues—specifically, lip dynamics and spoken passphrases—to verify user identity under open-set conditions. The challenge pushes the boundaries of multimodal biometrics, encouraging research in feature extraction, cross-modal learning, privacy-preserving AI, and robustness across devices and conditions.
The training set will be released on April 30, 2025, and the test set—available after abstract submission—will be released by May 20, 2025, at the latest. The final deadline to submit a paper to the workshop is July 10, 2025.
All accepted workshop papers will be published in a dedicated volume of the Springer Lecture Notes in Computer Science (LNCS) as part of the ICIAP 2025 proceedings.
Top-performing teams will be invited to present their work at the workshop, and selected contributions will be invited to submit an extended version of their paper to the MDPI Applied Sciences Special Issue on “Recent Advances in Biometrics and Multimodal User Authentication”: https://www.mdpi.com/journal/applsci/special_issues/XV7PJA0Y89
Submissions will be evaluated based on Equal Error Rate (EER) and authentication accuracy. Whether you are working on deep learning, computer vision, speech processing, or privacy-aware AI, this is an excellent opportunity to benchmark your solutions and contribute to the development of secure, interpretable biometric systems.
To register your team for the competition, access the dataset, and learn more, please visit: https://www.dmi.unict.it/spata/BiovidChallenge/
Please don’t hesitate to contact us at biometric.dataset.25@gmail.com for any further information.
We look forward to your participation!
Best regards,  
The Organizing Committee  
Massimo Orazio Spata, Georgia Fargetta, Alessandro Ortis  
University of Catania

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