Tutorials Track

ICWE 2025 invites proposals for tutorials on a broad range of Web Engineering topics. Conference participants include researchers and practitioners who are seeking to gain insight and knowledge of up-to-date strategies, methodologies, technologies, and tools used for developing, maintaining, and evolving Web applications. Examples of relevant topics include, but are not limited to:

• Web application modeling and engineering
• Web mining and knowledge extraction
• Web Big Data and Web Data Analytics
• Mobile Web applications
• Web of Things applications
• Social Web applications
• Web crowdsourcing and human computation
• Semantic Web, Web ontologies, and Linked Open Data applications
• Web composition and mashups
• Web user interfaces
• Quality and accessibility aspects of Web applications
• Web security and privacy
• Web services, computing, and standards
• Microservice architecture for Web applications
• Cloud, fog, and edge computing for Web applications
• Fairness of Web technology
• User Modelling and Recommender Systems based on Web technology
• Explainable Web technology

Following the general debate on the need for human-centric and responsible technology, we particularly welcome tutorials relevant to the special theme of the 25th edition of ICWE: The Inclusive Web: Realizing Safe, Accessible, Inclusive, and Sustainable Web Engineering.

All proposed tutorials should be half-day (3 hours) or full-day (6 hours) in length. The length of tutorial proposals is limited to 4 pages. Proposals must clearly define both the scope and the depth of the tutorial, and they must clearly identify the intended audience, the assumed background knowledge, and learning objectives. 

All tutorial proposals must include the following information:

• Title of the tutorial
• Contact information of the presenters (name, affiliation, email, mailing address, phone)
• Abstract outlining the goals and content of the tutorial (max 250 words)
• Length of the tutorial as either 3 hours (half a day) or 6 hours (full day)
• Definition of the intended audience (e.g., PhD students, early career researchers, all researchers, practitioners) and assumed background and knowledge
• Overview of the tutorial structure, list of topics covered, and short description of learning objectives/outcomes
• Information about any hands-on component (e.g., where attendees will actually use a tool or do an exercise), and what kind of computer would be needed for this
• Biographies of the presenter(s), including information regarding their expertise relevant to the tutorial
• Any relevant references to the work of the presenters or other references relevant to the tutorial
• Statement about any previous related tutorial presentations
• Sample slides of the tutorial, if available

The tutorial may be canceled if the number of registrations is very low. Along with a notification of acceptance, presenters will receive further instructions on how to prepare a two-page summary of the tutorial to be included in the conference proceedings, tutorial notes to be made available on the conference website, and brief biographies to be published in the conference program.

SUBMISSION INSTRUCTIONS

All submitted proposals must be formatted in accordance with the information for Springer LNCS authors at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines and submitted in PDF. A two-page summary of the proposal will be included into the ICWE 2025 Springer LNCS proceedings. Submissions and reviewing are supported by the EasyChair system (https://easychair.org/conferences/?conf=icwe2025). Submissions that do not comply with the required submission format or that fall outside the scope of the conference will be desk-rejected without review.

USE OF GENERATIVE AI

Authors should explicitly disclose the use of generative AI and AI-assisted technologies in their manuscripts when these tools are employed for more than just editing the author’s text. This disclosure can be made through a statement placed at the end of the manuscript, preceding the References section.

If it comes to our notice that a submission utilizes large language models (LLMs) without clear disclosure, such papers will be subject to immediate desk rejection. However, if there is no usage of such technologies, no disclosure statement is required.

IMPORTANT DATES

All dates are according to the time zone “Anywhere on Earth”, i.e., UTC-12.

• Submission deadline: February 13, 2025
• Notification of acceptance: April 3, 2025
• Camera-ready due: May 1, 2025

TUTORIAL TRACK PROGRAM CHAIRS

• Flavius Frasincar, Erasmus University Rotterdam, the Netherlands
• Azzurra Ragone, University of Bari, Italy