International Conference on Artificial Intelligence in Society 2026 – LAST CALL FOR PAPERS – Deadline for submissions (Last CFP): 8 May 2026

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International Conference on Artificial Intelligence in Society 2026
(AIS 2026)
Part of the 20th Multi Conference on Computer Science and Information Systems (MCCSIS 2026)
Valencia, Spain, 25 – 27 July 2026
https://www.aisociety-conf.org/ 


Apologies for cross-postings. Please send  to interested colleagues and students


* Keynote Speaker (confirmed)
Prof. Claudia Loebbecke, University of Cologne, Germany

* Conference Scope
Although the term Artificial Intelligence (AI) was coined in the 1950´s, more recently, it has been at the centre of unprecedented attention. Developments in AI technology have created much interest from all areas of society, such as Education, Business and Health. The benefits of deploying AI are being reported transversally in all sectors. Nonetheless, AI’s potential evolves hand in hand with unyielding concerns that cause restraint and limit its widespread use. The International Conference on Artificial Intelligence in Society (AIS) aims to reunite both researchers and practitioners in addressing AI most pressing questions.
For more details please check https://www.aisociety-conf.org/conference-topics/ 
  

* Paper Submission
This is a blind peer-reviewed conference. Authors are invited to submit their papers in English through the conference submission system by May 8, 2026. Submissions must be original and should not have been published previously. 
 

* Important Dates:
– Submission Deadline (Last CFP): 8 May 2026
– Notification to Authors (Last CFP): 5 June 2026
– Final Camera-Ready Submission and Early Registration (Last CFP):Until 22 June 2026
– Late Registration (Last CFP): After 22 June 2026
 

* Paper Publication
The papers will be published in book and electronic format with ISBN, willbe made available through the Digital Library available at http://www.iadisportal.org/digital-library/showsearch
The conference proceedings will be submitted for indexation by Elsevier, EI Compendex, Scopus, Thomson Reuters Web of Science, EBSCO and other important indexing services. The best papers will be selected for publishing as extended versions in the IADIS Journal on Computer Science and Information Systems (ISSN: 1646-3692) and in the IADIS International Journal on WWW/Internet (ISSN: 1645-7641).
 

* Conference Contact:
E-mail: secretariat@aisociety-conf.org
Web site: https://www.aisociety-conf.org/

 


* Registered participants in the Artificial Intelligence in Society Conference may attend the other conferences part of MCCSIS 2026 free of charge.


 

CfP Special Issue on “Green and Sustainable Software” – Automated Software Engineering

We would like to kindly invite you to submit your work to the Special Issue on “Green and Sustainable Software” of the Automated Software Engineering journal.
Submission deadline: 15 July 2026
For any questions, do not hesitate to ask us.
Best Regards,
Rick, Karthik, and Elisa
==================
Special Issue: Green and Sustainable Software
https://link.springer.com/collections/jjcbchfbhf
Automated Software Engineering Journal (Impact factor = 3.1)
The engineering of green software-intensive systems is critical in our drive towards a sustainable, smarter planet. The goal of green software engineering is to apply green principles to the design and operation of software-intensive systems. Green and self-greening software systems have tremendous potential to decrease energy consumption. Moreover, software can and should be re-thought to address sustainability issues using innovative business models, processes, and incentives. Monitoring and measuring the greenness of software is critical towards the notion of sustainable and green software. Demonstrating improvement is paramount for users to achieve and effect change. Analysis of the sustainability of a specific software system requires software that aids developers in weighing the four dimensions of sustainability—economic, social, environmental, and technical—with their attendant trade-offs. The software engineering community must assume leadership in this important challenge.

In this Special Issue, we will explore the theme of “green software engineering for software sustainability” with a goal towards creating actionable outcomes that will affect how software engineering is practiced and taught in the future, in order to help organizations prioritize their sustainability objectives.

Topics:

  • Energy-efficient choices for architecture and design patterns, algorithms, data structures, programming languages, language runtime and infrastructure.
  • Architectural implications (architectural tactics, architectural styles, design patterns and anti-patterns) for green and sustainable software
  • Practices for sustainability-aware software engineering
  • Metrics and measures for sustainability-aware software engineering
  • Sustainability-aware architectures in context (e.g., cloud-edge continuum)
  • Teaching and training of skills and competencies in sustainability-aware software engineering
  • Sustainable computing from a software engineering and software-intensive system perspective
  • Applied, or experimented with, software engineering methodologies at all levels (from requirements elicitation to architecture design, coding, testing, and maintenance)
  • Meta-analyses, and syntheses of studies to build theories on green and sustainable software; conceptual reflections related to software sustainability
  • Progress on the various dimensions of software sustainability and their interplay
  • Software adaptation for sustainability
  • Tools to support sustainability-aware decision-making
  • Sustainability of emerging computing technologies (AI systems, edge devices, generative AI-enabled applications)
  • Green AI, lighter, less data-intensive, and less energy-consuming AI models and architectures
  • Sustainable Large Language Models (LLMs) for software code
  • Green Agentic AI
  • Reduction of software organizations’ compute-heavy workloads
  • Cloud and energy efficiency
  • Standards on the environmental sustainability of software and AI software

Authors should prepare their manuscript according to the Instructions for Authors available from the Journal’s submission guidelines https://link.springer.com/journal/10515/submission-guidelines. Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation by at least two independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process.

===========================
Prof. Dr. Elisa Yumi Nakagawa

University of São Paulo, Brazil
===========================

Taller Semillero de Líderes – UTN FRCU

Call for Papers – Special Issue on Explainable and Efficient AI

Special Issue on Explainable and Efficient Solutions for AI Applications

https://link.springer.com/collections/abiddicdga


MOTIVATION AND SCOPE

Artificial Intelligence (AI) is rapidly transforming real-world systems, driven by advances such as Large Language Models (LLMs), Vision Transformers (ViTs), Convolutional Neural Networks (CNNs), and Generative AI (GenAI). As these models become increasingly powerful, a key challenge is ensuring that they are not only accurate, but also interpretable, efficient, and suitable for responsible deployment.

This Special Issue aims to collect contributions addressing interpretability and efficiency in modern AI systems, spanning methodological advances, theoretical insights, and real-world applications.

Topics of interest include (but are not limited to):

  • Explainable approaches for deep learning architectures (LLMs, ViTs, CNNs, GNNs)
  • Interpretability techniques for generative and multimodal AI
  • Model compression and acceleration (e.g., pruning, distillation)
  • Trade-offs between interpretability, efficiency, and accuracy
  • Case studies in domains such as healthcare, finance, and education

Interdisciplinary contributions are strongly encouraged, with the goal of making AI systems more transparent, efficient, and scalable in practice.

MANUSCRIPT SUBMISSION INSTRUCTIONS

Submissions should be made through the journal’s submission system:

https://link.springer.com/collections/abiddicdga

All manuscripts will undergo peer review according to the journal’s standard policies. Papers should present original, unpublished work and must comply with the journal’s author guidelines.


MANUSCRIPT FORMATTING GUIDELINES

Authors are invited to follow the journal’s Guide for Authors:

https://link.springer.com/journal/44163/submission-guidelines

Feel free to share this call with interested colleagues.


Guest Editors

  • Alessia Amelio, University of Chieti-Pescara, Italy
  • Stefano Cirillo, University of Salerno, Italy
  • Michele Marchetti, Polytechnic University of Marche, Italy
  • Luca Virgili, Polytechnic University of Marche, Italy


Convocatoria abierta: Escuela Latinoamericana de Informática – CLEI 2026 – Deadline 17/5

Nos complace invitarlos a proponer cursos para la V Escuela
Latinoamericana de Informática
(https://conferencia2026.clei.org/es-cl/eli/), que se llevarán a cabo en
el marco de la 52ª Conferencia Latinoamericana de Informática (CLEI
2026) en la Ciudad de México.

Información General

La V Escuela Latinoamericana de Informática (ELI) es una evolución de
los tutoriales que se dictan en todos los CLEI. Desde 2022 se inicia la
formalización de los mismos y para la quinta edición a desarrollarse en
paralelo con CLEI 2026 se pretende brindar una opción de cursos de
interés a estudiantes de grado, posgrado y profesionales. La
presentación de los cursos se hará de manera similar a la de los
trabajos y serán evaluados por un comité académico que seleccionará un
conjunto de cursos. Los temas previstos para ELI involucran todas las
áreas de la ciencia y la ingeniería de computación.

Llamada para propuestas de cursos

ELI 2026 convoca a la presentación de cursos en cualquier área de la
ciencia e ingeniería de computación y sus tecnologías y fundamentos
teóricos relacionados, que presenten temas de actualidad con base en
resultados de investigación, el estado del arte de un tema determinado,
o la introducción a un tema de interés industrial o académico,
considerando los tópicos incluidos en los tracks de CLEI: Sistemas de
Software, Sistemas Inteligentes, Sistemas en la práctica, Tecnologías en
Informática y Educación en Informática.

Se aceptarán dos tipos de propuestas de cursos a realizarse durante la
semana de la conferencia CLEI:

– Cursos con entre 10 y 15 horas de dictado presencial por parte del
docente y un mínimo de 25 horas totales de curso, agregando a las horas
presenciales horas extras necesarias de trabajo final a realizar por el
estudiante luego de finalizada la escuela.
– Cursos de entre 10 y 15 horas de dictado presencial por parte del
docente sin horas extras luego de la escuela.

En ambas modalidades se otorgarán certificados ELI-CLEI, en el primer
caso de aprobación y en el segundo caso de asistencia.

Se ofrecerá apoyo parcial para asistir a ELI para el dictado presencial
del curso durante CLEI 2026. Esto será coordinado con los proponentes
una vez notificados los cursos seleccionados. Se recomienda a quienes
postulen cursos para la ELI que envíen también trabajos a la conferencia
CLEI 2026, a fin de asegurar otra vía de financiamiento que permita
participar en la ELI, dado que no se garantiza que el apoyo cubra los
costos de traslado y alojamiento.

Envío de Propuestas de Cursos

La propuesta del curso debe enviarse en formato PDF a través de
easychair, indicando la opción del ELI en la plataforma. Se debe incluir
la siguiente información:

– Título del curso
– Área de la computación a la que pertenece (simposio asociado)
– Contenido (resumen general y temario detallado)
– Duración (cantidad de horas presenciales totales y propuesta de
días/horas por día)
– Cupo del curso (si lo tiene)
– CV del/los docentes
– Lengua de impartición (inglés, portugués o castellano)

Fechas Importantes

– Plazo de envio: 17 de mayo 2026
– Notificación a los autores: 29 de junio de 2026

Revisión de las Propuestas

Las propuestas de cursos serán evaluadas por un comité académico que
seleccionará un conjunto de cursos, sobre la base del cumplimiento de
los requisitos definidos en este llamado, incluyendo el CV del/los
proponentes. Se buscará que los temas de los cursos pertenezcan
idealmente a 3 áreas distintas de la disciplina Informática, variando
con respecto a la edición inmediata anterior de la Escuela y en
alineación con los intereses de la organización local.

Chairs

Dra. María Lucia Barrón Estrada (Tecnológico Nacional de México, campus
Culiacan – México)
Dr. Martin Pedemonte (Universidad de la República – Uruguay)

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