About the Workshop

Autonomous Systems (AS), such as robots, self-driving cars, and body sensor networks, whether enabled with Artificial Intelligence (AI) or not, are increasingly pervasive in our daily lives. They are rapidly transforming domains such as transportation, manufacturing, the built environment, and healthcare. Their effectiveness depends heavily on Information Systems (IS), which provide the information, infrastructures, and coordination mechanisms that enable autonomy.
In this context, AS act and generate massive streams of real-time data (sensor readings, environmental feedback, performance metrics). IS process and analyze this data, supporting decisions for both AS and human operators or users. Together, AS and IS form a continuous feedback loop where the AS act and produce data, and IS interpret the data to provide feedback to enable AS adaptation. Notably, this loop is more and more embedded within socio-technical systems, where humans and technology continuously interact to fulfill stakeholder requirements. Furthermore, AI is increasingly integrated within such loops, offering new solutions for autonomy and automation. This tight coupling, along with the proliferation of Large Language Models (LLMs) and Large Multimodal Models (LMMs), raises new challenges, such as ensuring trustworthy data governance, protecting systems from cyber threats, ensuring sustainable goals, addressing ethical concerns in decision-making, and aligning autonomy with organizational and social contexts.
This workshop aims to explore the synergy of AS and IS, focusing on how autonomy and information processes can be jointly designed, integrated, and governed in complex environments. We aim to bring together diverse research communities, including autonomous systems, information systems, artificial intelligence, software engineering, and business process management, to foster a holistic understanding of the challenges and opportunities of AS-IS connection.

Topics of Interest

The main topics include, but are not limited to:

Important Dates

Submission

The papers must be submitted via EasyChair, selecting the 1st International Workshop on Engineering Autonomous Systems Intelligence track.

Papers must conform to the Springer LNCS/LNBIP format and should not exceed 12 pages for full papers and 6 pages for short papers (including references).

The proceedings of the conference workshops will be published as one volume in the Springer LNBIP series.

At least one author of each accepted paper must register and participate in the workshop. Please visit the main conference website for more information.

Program Committee

TBA ...

Contacts

Track email address: easi-2026@easychair.org

Organizers

Sara Pettinari

Gran Sasso Science Institute, Italy

sara.pettinari@gssi.it

Iva Vasic

University of Fribourg, Switzerland

iva.vasic@unifr.ch

Yannis Bertrand

Hasselt University, Belgium

yannis.bertrand@uhasselt.be