SASSUR 2026 – Deadline approaching
April 27th, 2026
Daniela Lopez de Luise International Conference on Artificial Intelligence in Society 2026 – LAST CALL FOR PAPERS – Deadline for submissions (Last CFP): 8 May 2026
April 26th, 2026
Daniela Lopez de Luise
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
April 24th, 2026
Daniela Lopez de Luise Automated Software Engineering Journal (Impact factor = 3.1)
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
===========================
Taller Semillero de Líderes – UTN FRCU
April 24th, 2026
Daniela Lopez de Luise Call for Papers – Special Issue on Explainable and Efficient AI
April 23rd, 2026
Daniela Lopez de Luise 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






