******************************************************** 2nd INTERNATIONAL SCHOOL ON HUMAN-AI COLLABORATION IN THE ERA OF AGENTIC AI AICES 2027 Bilbao, Spain May 3-6, 2027 https://aices.irdta.eu/2027/ ******************************************************** Co-organized by: University of Deusto IRDTA – Institute for Research Development, Training and Advice ******************************************************** Early registration: November 15, 2026 ******************************************************** SCOPE The rapid emergence of agentic AI systems capable of planning, reasoning, making decisions and acting with increasing autonomy is transforming the relationship between humans and intelligent machines. Understanding how humans and AI agents can collaborate effectively, safely and responsibly has therefore become a major scientific, technological and societal challenge. AICES 2027 will address this challenge from a broad interdisciplinary perspective, bringing together leading researchers and experts from academia and industry. The scientific program will examine the societal, cognitive, ethical, economic and governance dimensions of agentic AI, with particular emphasis on human–AI collaboration, trust, human oversight and control, the future of work, regulation and governance, explainability, responsible AI, education, democracy, media ecosystems, economic transformation, and the wider implications of increasingly autonomous AI systems. The school will feature 13 monographic three-hour courses, 2 keynote lectures, 1 round table and 1 symposium. Leading academics and industry experts will share their knowledge, research and perspectives with participants. Interaction, discussion and networking will be central elements of the event, while full live online participation will also be available. ADDRESSED TO AICES 2027 is intended for graduate students, researchers, academics, industry professionals and policymakers from a wide range of disciplines, including computer science, cognitive science, economics, sociology, philosophy, law, public policy and business. There are no formal academic prerequisites, and researchers and professionals at all career stages are welcome. The school will provide participants with an opportunity to gain in-depth knowledge of one of the most rapidly evolving areas of AI, interact with experts from different disciplines, establish new collaborations, expand their professional networks, and explore the profound changes that agentic AI may bring to work, institutions and society. VENUE AICES 2027 will take place in Bilbao, in northern Spain. Once a major industrial centre, Bilbao has undergone a remarkable urban, cultural and economic transformation over recent decades and is today one of Spain's most dynamic cities. The venue will be: University of Deusto Avenida de las Universidades, 24 48007 Bilbao https://www.deusto.es/ STRUCTURE Two/three courses will run in parallel throughout the event. Participants will be free to select the sessions they wish to attend and may move between courses at any time. In addition to the courses and keynote lectures, the program will include a round table and a symposium devoted to current research and industrial developments. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, participants are strongly encouraged to attend in person whenever possible, as direct interaction, discussion and networking are essential components of research training events of this kind. KEYNOTE SPEAKERS Eszter Hargittai (University of Zurich), Myths vs. Measures: Digital Inequality and AI Skills Katia Sycara (Carnegie Mellon University), Human-AI Collaboration rather than Substitution PROFESSORS AND COURSES Ana Bazzan (University of São Paulo), [introductory/intermediate] Autonomous Agents, Multiagent Systems, Swarm Intelligence and Reinforcement Learning: What Are These and Why They Matter in the Current AI Agenda Justine Cassell (Inria Paris), [introductory/intermediate] Building Agents that Collaborate with People rather than Replacing Them Pierre Dillenbourg (Swiss Federal Institute of Technology Lausanne), [introductory] Productive Noise: The Benefits of Misunderstandings in Collaboration Steven Drucker (Particle Prismatics LLC), [introductory/intermediate] Attention Is All You Have: Human-Centered AI in the Agentic Era Peter Flach (University of Bristol), [introductory/intermediate] Classifier Calibration: A Prerequisite for Trustworthy AI James D. Hollan (University of California San Diego), [intermediate] Challenges and Opportunities for HCI: Generative AI, Negotiated Agency, and Co-Adaptive Systems Andreas Holzinger (BOKU University Vienna & Graz University of Technology), [introductory/intermediate] Trustworthy Agentic AI: Human-AI Collaboration, Explainability, and Verifiable Autonomy Jason Hong (Carnegie Mellon University), [introductory/intermediate] Challenges in Human-AI Interaction Christian Lebiere (Carnegie Mellon University), [intermediate] Metacognition and Theory of Mind in Humans and Machines Sijia Liu (Michigan State University), [introductory/advanced] From Safe Models to Safe AI Agents: Alignment from Centralized to Distributed Learning Simon Parsons (University of Lincoln), [introductory] Agents and Agentic AI Simone Stumpf (University of Glasgow), [introductory/intermediate] Explainable AI (XAI) and Debugging in the Era of Agentic AI Lyle Ungar (University of Pennsylvania), [introductory] From Tools to Teammates: How AI Changes Human Work and Relationships SYMPOSIUM A symposium will give participants, research groups and companies the opportunity to present ongoing research projects, innovative ideas and industrial developments related to the themes of AICES 2027. Presentations will consist of 15-minute oral contributions. Participants interested in presenting should submit a one-page abstract including the title, authors, and a brief summary to david@irdta.eu. Submission deadline: April 19, 2027. ORGANIZING COMMITTEE Pablo García Bringas (Bilbao, Local Chair) Carlos Martín-Vide (Tarragona, Program Chair) Santiago Montes (Tarragona, Webpage) Sara Morales (Luxembourg, Finances) David Silva (London, Organization Chair) REGISTRATION Registration is available at: https://aices.irdta.eu/2027/registration/ During registration, participants will be invited to indicate six courses they are particularly interested in attending. This selection is tentative and non-binding and will be used only to estimate demand and facilitate logistical planning. As the capacity of the venue is limited, registrations will be accepted on a first-come, first-served basis. Registration will close once maximum capacity has been reached. Early registration is therefore strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early-registration deadlines are available, with fees depending on the date of payment. Fees are the same for on-site and for online participation. ACCOMMODATION Accommodation suggestions will be made available in due time at: https://aices.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate documenting 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS or equivalent academic recognition from their home institutions. SPONSORS Companies, institutions and organizations interested in supporting AICES 2027 are invited to consult the sponsorship opportunities available for the event. The sponsorship leaflet can be downloaded from: https://aices.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david@irdta.eu ACKNOWLEDGMENTS University of Deusto IRDTA – Institute for Research Development, Training and Advice ********************************************************** * * Contributions to be spread via DMANET are submitted to * * DMANET@zpr.uni-koeln.de * * Replies to a message carried on DMANET should NOT be * addressed to DMANET but to the original sender. The * original sender, however, is invited to prepare an * update of the replies received and to communicate it * via DMANET. * * DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET) * http://www.zaik.uni-koeln.de/AFS/publications/dmanet/ * **********************************************************
Monday, November 2, 2026
[DMANET] CFP – DIS 2027 | London, UK | May 30–June 3, 2027
Dear Colleagues, We are pleased to invite you to the *10th International Conference on the Dynamics of Information Systems (DIS 2027)*, taking place *May 30 – June 3, 2027, in London, UK*. The conference welcomes contributions in optimization, operations research, machine learning, artificial intelligence, information science, and related fields. Please find the Call for Papers attached. We would be grateful if you could share this announcement with interested colleagues and researchers. For further information, please visit: https://dis.ujep.cz/ We look forward to welcoming you to DIS 2027! ********************************************************** * * Contributions to be spread via DMANET are submitted to * * DMANET@zpr.uni-koeln.de * * Replies to a message carried on DMANET should NOT be * addressed to DMANET but to the original sender. The * original sender, however, is invited to prepare an * update of the replies received and to communicate it * via DMANET. * * DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET) * http://www.zaik.uni-koeln.de/AFS/publications/dmanet/ * **********************************************************
[DMANET] [EXTENDED] [CFP] AHPC3: The 4th Workshop on Accelerated HPC in the Cloud-Edge Continuum
======================================================================== AHPC3 2027: The 4th Workshop on Accelerated HPC in the Cloud-Edge Continuum Affiliated with the 35th Euromicro International Conference on Parallel, Distributed and Network-Based Processing ( PDP 2027 ) March 17-19, 2027 | Barcelona, Spain Workshop site: https://ahpc3.di.unipi.it/ Conference site: https://www.pdp2027.org/ Submission site: https://ahpc3.di.unipi.it/2027#submission ======================================================================== IMPORTANT DATES -------------------------- - November 12, 2026: Submission of paper abstracts (EXTENDED) - November 12, 2026: Submission of short/regular papers (EXTENDED) - December 14, 2026: Notification to authors - January 25, 2027: Submission of camera-ready OVERVIEW -------------------------- This workshop explores the convergence of high-performance computing (HPC) and modern cloud-edge architectures. With HPC demand expanding across many domains and the boundaries between HPC and cloud blurring, the aim is to examine how cloud and edge technologies - such as serverless computing, microservices and load balancers - can be adapted to efficiently support and scale HPC applications. Key topics include lightweight virtualization, dynamic execution environments, advanced scheduling, orchestration, data management, fault tolerance, security and monitoring. Special focus is given to sustainability through green computing and intelligent resource management. Contributions on hardware acceleration (FPGA/GPU), hybrid resource management and innovations in continuous cloud-edge and hybrid HPC environments are welcome. TOPICS -------------------------- - Accelerated computing architectures for HPC in the Cloud-Edge continuum, including GPUs, FPGAs, AI/ML accelerators, and heterogeneous computing platforms - Cloud-Edge architectures and resource federation for HPC, including hybrid HPC environments and federated resource sharing - Cloud-native technologies and execution models for HPC, including serverless computing, microservices, and task offloading - Lightweight virtualization and execution environments, including WebAssembly, unikernels, containers, and microVMs - Orchestration, deployment, scheduling, and resource allocation for HPC workflows across the Cloud-Edge continuum - Programming paradigms, models, and runtime systems for High-Performance Cloud-Edge computing - Communication, data management, stream processing, and data-intensive workloads in Cloud-Edge environments - Heterogeneous resource management, monitoring, and observability for HPC Cloud-Edge applications - Fault tolerance, reliability, security, and resilience across the Cloud-Edge continuum - Sustainable and energy-efficient HPC across Cloud, Edge, and HPC infrastructures - Federated and distributed AI/ML, including federated learning in the Cloud-Edge continuum - AI/ML-driven techniques for resource management, scheduling, and orchestration SUBMISSION -------------------------- LINK: https://ahpc3.di.unipi.it/2027#submission Accepted papers will be published in the conference proceedings. Submissions must be original and not under consideration elsewhere.[Text Wrapping Break]All submissions will be subject to a double-blind review process. Papers (regular: max 8 pages, short: max 4 pages) must follow IEEE conference format. At least one author must register and present the paper. SPECIAL ISSUE -------------------------- Authors of outstanding research papers will be invited by the workshop chairs to submit an extended version of their work to a special issue of a journal. Further details will be provided following the workshop. ORGANISERS (all from University of Pisa) -------------------------- - Luca Ferrucci - luca.ferrucci@unipi.it (General Chair) - Stefano Forti - stefano.forti@unipi.it (General Chair) - Jacopo Massa - jacopo.massa@di.unipi.it (General Chair) - Valerio Besozzi - valerio.besozzi@phd.unipi.it (Program Chair) - Matteo Della Bartola - matteo.dellabartola@phd.unipi.it (Program Chair) ********************************************************** * * Contributions to be spread via DMANET are submitted to * * DMANET@zpr.uni-koeln.de * * Replies to a message carried on DMANET should NOT be * addressed to DMANET but to the original sender. The * original sender, however, is invited to prepare an * update of the replies received and to communicate it * via DMANET. * * DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET) * http://www.zaik.uni-koeln.de/AFS/publications/dmanet/ * **********************************************************
[DMANET] [CFP] DEADLINE EXTENDED - Special Session EC4XTAI @ EvoLearn 2027 (EvoStar)
Dear Colleagues, *DEADLINE EXTENDED: 16 NOVEMBER 2026* We are pleased to invite submissions to the Special Session on *Evolutionary Computation for Explainable and Trustworthy AI*, held as part of *Evolearn 2027* at the upcoming *EvoStar 2027* conference. Call for Papers Artificial Intelligence systems are increasingly deployed in domains where predictive accuracy alone is insufficient—decisions must also be understandable, reliable, robust, and open to scrutiny. Many explainability and trustworthiness problems involve competing objectives, complex search spaces, discrete or structured representations, and constraints that traditional optimization methods struggle to address. Evolutionary computation is particularly well-suited to these challenges. Population-based search can generate diverse explanations, explicitly balance criteria such as fidelity, stability, diversity, and plausibility, operate with non-differentiable models, and optimize symbolic, rule-based, visual, prototype-based, or counterfactual representations. This special session provides a focused forum for researchers developing evolutionary and bio-inspired approaches to the generation, optimization, evaluation, and auditing of explanations and intrinsically interpretable AI systems. Scope & Topics of Interest We welcome methodological contributions, evaluation studies, benchmarks, and real-world applications across machine learning, computer vision, image processing, and related areas, including (but not limited to): - *Explanation Generation:* Evolutionary generation and optimization of local/global, counterfactual, causal recourse, and actionable explanations. - *Interpretable Models:* Genetic programming, symbolic regression, rule learning, fuzzy systems, and neuroevolution for transparent or self-explainable models. - *Representation & Discovery:* Prototype-, example-, concept-, and case-based explanations, as well as feature selection/construction for explainability. - *Computer Vision & Multimodal AI:* Evolutionary visual explanations for image processing, computer vision, deep models, and foundation models. - *Trustworthiness & Auditing:* Evolutionary optimization and analysis of robustness, fairness, uncertainty, bias, and automated testing of black-box models. - *Specialized Approaches:* Quality-diversity methods for multiple valid explanations, human-in-the-loop/interactive evolutionary explainability, and explainable evolutionary reinforcement learning. - *Evaluation:* Benchmarks, metrics, reproducibility, scalability, and user-centered evaluation. More Information: https://www.evostar.org/2027/evolearn/ecxtai/ Organizers - *Diego Oliva* — Universidad de Guadalajara, Mexico ( diego.oliva@cucei.udg.mx) - *Oscar Ramos-Soto* — Universidad de Guadalajara, Mexico ( oscar.ramos9279@alumnos.udg.mx) - *Fernando Lezama* — GECAD – Polytechnic of Porto, Portugal ( flz@isep.ipp.pt) - *Saul Zapotecas-Martínez* — Instituto Nacional de Astrofísica, Óptica y Electrónica, Mexico (szapotecas@inaoep.mx) We look forward to receiving your contributions! Feel free to forward this call to colleagues who may be interested. Best regards, *The Session Organizing Committee* ********************************************************** * * Contributions to be spread via DMANET are submitted to * * DMANET@zpr.uni-koeln.de * * Replies to a message carried on DMANET should NOT be * addressed to DMANET but to the original sender. The * original sender, however, is invited to prepare an * update of the replies received and to communicate it * via DMANET. * * DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET) * http://www.zaik.uni-koeln.de/AFS/publications/dmanet/ * **********************************************************
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