Workshops will complement the main conferenceprogram of the Intelligent Environments 2025d. Papers accepted in any of the workshops will be published open access in the Book Series on Ambient Intelligence and Smart Environments (IOS Press).

The IE2025 workshops will be held on the first two days, June 23 and 24, 2025. Depending on the number of participants, half-day, full-day, and even two-day workshops are possible.


WISHWell – Workshop on Intelligent Environments Supporting Healthcare and Well-being

The workshop is dedicated to the crucial topic of Intelligent Environments Supporting Healthcare and Well-being. It will bring together researchers from various industry and academic disciplines to contribute to this new edition of the International Workshop. This event previously joined forces with the International Workshop “PervaSense – Situation Recognition and Medical Data Analysis in Pervasive Health Environments” and the workshop on “Smart Healthcare and Healing Environments”. Healthcare environments, whether in hospitals or homes, are highly complex and challenging to manage from an IT and IS perspective. They must cope with various patient conditions under diverse circumstances and with several resource constraints. Pervasive healthcare technologies aim to respond to these challenges by integrating them into existing healthcare services. The development and correct integration of intelligent, pervasive healthcare solutions are crucial to assisting healthcare professionals in delivering high levels of patient care. Equally important is the use of these pervasive solutions to empower patients and relatives to self-care and manage their health, providing seamless access to healthcare services.

Organizer
Juan Carlos Augusto, Middlesex University, UK
Anton Gradišek, Jožef Stefan Institute, Slovenia

Website:
https://jcaugusto.wixsite.com/wishwell2025/


WORIE- Workshop on the Reliability of Intelligent Environments

Intelligent Environments (IE) is rising as one of the technical fields with the highest potential to impact daily human life soon. A complex juxtaposition of complex technical fields achieves developments in this area. Software is related to the architecture of a building, sensors, a network for data transportation, and different levels of users. Many of these elements are error-prone; software is notoriously difficult, and even companies like NASA, Microsoft, Intel, and BMW, which can afford powerful teams of experienced development teams, have paid lives, economic losses, and reputation missing to detect software bugs within their products. Sensors are often unreliable; networks are sometimes unstable, and users can put systems to the test in circumstances that were not initially foreseen. Developing this type of system is, therefore, complex, given that some applications will be given the tremendous responsibility to take care of humans. Think, for example, how much interest there is in developing systems to support independent living. These systems are intended to give peace of mind to older adults and their relatives, trusting that the system will be able to do many things for them, including safety-related issues like detecting whether the house’s occupant has fallen or is unwell in some way. Other examples are uncrewed cars and other autonomous systems that are supposed to perform tasks for us, which can have disastrous consequences if something goes wrong.  Given the current state of the art, our community should develop appropriate standards and specific methodologies to ensure we do our best to deliver safe systems. Given the specific blend of components in our development area, we cannot just transfer developments to other areas (although they should be considered to inform the process). This event will unite developers and researchers to focus on all aspects of the development process that can make intelligent environments and related systems safer and more secure and provide methodologies to increase confidence in these developments.

Organizer: 
Adityarajsingh Santokhee, Middlesex University Mauritius
Juan Carlos Augusto, Middlesex University, UK
Carlos Rodriguez Dominguez, University of Granada, Spain

Website:
https://www.ugr.es/~worie/2025/home


ALLEGET – Workshop on Artificial intelligence and machine learning for Emerging Topics

Multimedia content, ranging from text, images, and videos to audio, obtained from users and physical devices, paves the way for a novel research avenue centered on analyzing and interpreting multi-modal information. This research gives place to Social Intelligent Environments by combining IEs and online social networks (OSN) as the primary multimedia content source. This workshop seeks mechanisms adept at extracting, fusing, and analyzing data from multiple sources based on artificial intelligence techniques, emphasizing the inherent data heterogeneity characteristic of OSN integrated into any intelligent environment.

This workshop is dedicated to developing intelligent solutions for social media processing that consider such inherent heterogeneity. By creating mechanisms capable of extracting knowledge from multimedia data posted by users on online social media platforms or the fusion of different types of data coming from these feeds, we can inspire and enable practical applications in the field of social media analysis.

Organizer: 
Andrés Muñoz Ortega, Universidad de Cádiz, Spain
Raquel Martínez-España,  Universidad de Murcia (UM), Spain
Fernando Terroso, Universidad Politécnica de Cartagena (UPCT), Spain
Andrés Bueno-Crespo, Universidad Católica de Murcia (UCAM), Spain.

Website:
http://www.alleget.site/


DiDiT 2025 – 2nd International Workshop on Distributed Digital Twins 

A digital twin (DT) is a virtual representation of a physical object, system, or process (including cities and even ecosystems) synchronized with the real-world entity it replicates. It uses Internet of Things (IoT) technologies, such as sensors and actuators. Through the application of digital technologies, such as AI, data analytics, and computer simulations, a DT application can be used to experiment, simulate, analyze, adapt, and optimize the behavior, performance, and maintenance of the real-world counterpart, including its interaction with other objects or systems. However, large industrial systems often consist of complex, distributed, interconnected elements and sub-systems. Real-time representation of the complexity of such interconnections poses many scientific and industrial challenges.

This workshop is a testament to the power of collaboration between academia and industry. It provides a unique platform to explore the topic of distributed digital twins and to collectively identify and address the challenges of distributed ecosystems within large-scale cyber-physical systems. By fostering innovation and progress in the field, this collaborative effort can lead to significant advancements.

Organizer: 
Victoria Degeler – University of Amsterdam, Netherlands
Dilek Dustegor – University of Groningen, Netherlands
Heerko Groefsema – University of Groningen, Netherlands
Elena Lazovik – TNO (Netherlands Organisation for Applied Scientific Research), Netherlands

Website:
https://distributeddigitaltwins.github.io/2025/