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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
April 30th, 2025
Daniela Lopez de Luise -
AI Foundations
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AI in Domain-specific Applications
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AI in Computer Systems
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AI in Data Analytics, Data Mining and Big Data
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AI in Smart Cities
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Machine Learning
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Knowledge Representation, Reasoning, Cognition
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AI and Decision Systems
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Uncertainty in AI
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Natural Language Processing
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AI and Societal Impact
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AI and Maritime Applications – Special Track Chair Dr. Rahul Dubey
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AI and Software Engineering – Special Track Co-Chairs Dr. Maria Virvou & Dr. George Tsihrintzis
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AI and Assistive Technologies for People in Need – Dr. Nikolaos Bourbakis & Dr. Despina Kavraki
FLLM2025 (Co-Sponsored by IEEE): The 3nd International Conference on Foundation and Large Language Models, 25-28 November, 2025 | Vienna, Austria
April 30th, 2025
Daniela Lopez de Luise
The 3nd International Conference on Foundation and Large Language Models (FLLM2025)
https://fllm-conference.org/2025/
25-28 November, 2025 | Vienna, Austria
Hybrid Conference and Technically Co-Sponsored by IEEE Austrian Section
FLLM 2025 CFP:
With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure.
The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics with special interest in but not limited to:
- Architectures and Systems
- Transformers and Attention
- Bidirectional Encoding
- Autoregressive Models
- Massive GPU Systems
- Prompt Engineering
- Multimodal LLMs
- Fine-tuning
- Challenges
- Hallucination
- Cost of Creation and Training
- Energy and Sustainability Issues
- Integration
- Safety and Trustworthiness
- Interpretability
- Fairness
- Social Impact
- Future Directions
- Generative AI
- Explainability and EXplainable AI
- Retrieval Augmented Generation (RAG)
- Federated Learning for FLLM
- Large Language Models Fine-Tuning on Graphs
- Data Augmentation
- Natural Language Processing Applications
- Generation
- Summarization
- Rewrite
- Search
- Question Answering
- Language Comprehension and Complex Reasoning
- Clustering and Classification
- Applications
- Natural Language Processing
- Communication Systems
- Security and Privacy
- Image Processing and Computer Vision
- Life Sciences
- Financial Systems
Submissions Guidelines and Proceedings
Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers.
Important Dates:
- Paper submission deadline: June 30, 2025
- Notification of acceptance: September 15, 2025
- Camera-ready Submission: October 10, 2025
Contact:
Please send any inquiry on FLLM to: info@fllm-conference.org
DDP 2025 Workshop on Data Analytics in Biomedicine
April 30th, 2025
Daniela Lopez de Luise 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
April 30th, 2025
Daniela Lopez de Luise 


