CONF-CDS 2025

Data Visualization Methods for Evaluation

Date

July 30, 2025 (UTC+1)

Organizer

University of Portsmouth

Symposium Chair

Dr. Elisavet Andrikopoulou
Senior Lecturer in University of Portsmouth

Personal Bio
Dr. Elisavet Andrikopoulou is a Senior Lecturer at the School of Computing, University of Portsmouth, United Kingdom (UK). Elisavet holds a PhD in health informatics. She has won several awards including the HDR UK Collaborathon 2020. Elisavet has a computer science and law background as well as a master’s degree in research in simulation modelling. Elisavet has worked in Greece, Germany, Belgium and the UK in a number of positions varying from law apprentice to database administrator and IT consultant. Her current research interests involve healthcare decision making support and improving the quality of life of people with long-term conditions using technology specialising on personal health records. Elisavet is the events and communications lead of healthcare executive group of BCS and a member of IET, and her teaching focuses mainly on data visualisation and data analytics.

Call for Papers

Background

Data visualisation is an essential tool for translating complex datasets into actionable insights. In evaluation contexts—ranging from programme assessments to policy reviews—effective visualisation aids in exploring patterns, clarifying relationships, and presenting findings. The process encompasses data collection, transformation, exploration, and presentation, each demanding thoughtful design decisions. Effective visualisations must account for the nature of the data as well as the needs and literacy levels of diverse audiences. A viewer's engagement is often determined within seconds; thus, the manner of presentation can significantly influence whether key messages are comprehended, overlooked, or mistrusted. This symposium introduces core methods and frameworks for crafting impactful data visualisations, with a focus on generalisable techniques applicable across disciplines. Special attention will be given to addressing uncertainty, complexity, and the perspectives of varied stakeholders.

Goal/Rationale

This symposium aims to explore how data visualisation methods can be employed to create informative, interactive, and memorable visuals tailored to different audiences within evaluation settings. By considering factors such as domain expertise, digital literacy, and context of use, participants will develop effective strategies for communicating complex data. To achieve this, we propose a structured process model that includes:

  • A comparative analysis of common visualisation methods;
  • Practical guidelines for aligning visualisation techniques with specific stakeholder needs—such as analysts, decision-makers, or the general public;
  • An evaluation of tools like Python, R, Tableau, and Power BI for implementing these methods.

Scope and Information for Participants

This symposium focuses on enhancing the clarity and effectiveness of data visualisations by recognising the varying needs of different audiences. Understanding what works for whom, and in what context, is essential for designing impactful visuals—particularly in complex evaluation domains. Through the exploration of practical methods and adaptable frameworks, participants will discuss how improved visualisation design can enhance communication, reduce costs and consultation times, and support training in data literacy. The expected outcome is a collaborative action plan for developing a flexible model that guides the selection and application of visualisation methods, ultimately improving data understanding and stakeholder engagement.

Submission

Prospective authors are kindly invited to submit full papers that include title, abstract, keywords, introduction, conclusion, and references. It is unnecessary to submit an abstract in advance. The deadline for general submission is July 23, 2025.

Each paper should be no less than 4 pages. One regular registration can cover a paper of 6 pages, and additional pages will be charged. Please format your paper well according to the conference template before submission.

Please prepare your manuscript using Microsoft Word and submit both the .docx and the .pdf files via email to sympo_portsmouth@confcds.org.

Topics

This symposium welcomes submissions with the following topics

Data Science

  • Data Mining
  • Big Data
  • Databases
  • Data Management
  • Data Analytics
  • Social Network Analysis
  • Time Series Analysis
  • Forecasting
  • Data Security

Meanwhile, submissions aligned with the overall conference scope are also welcomed.

Computing

  • Scientific Computing
  • Computer Modeling
  • Cloud Computing
  • Parallel Computing
  • Mobile Computing
  • Simulation
  • Computational Optimization
  • Distributed Computing
  • High Performance Computing
  • Soft Computing Theory and Applications

Machine Learning

  • Artificial Intelligence Tools & Applications
  • Hybrid Intelligent Systems
  • Natural Language Processing
  • Computer Vision
  • Image Processing
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Neural Networks
  • Intelligent System Architectures
  • Neural Networks and Applications
  • Pervasive Computing and Ambient Intelligence
  • Reasoning and Evolution
  • Semantic Web Techniques and Technologies
  • Web Intelligence Applications and Search

Submission & Payment

Type Regular Submission
Paper Submission July 23, 2025
Review Process 2 weeks
Revise & Acceptance 2 weeks
Registration & Payment 2 weeks

Fees

Items Amount (VAT Included)
Registration and Publishing Fee (6 pages included) $500
Additional Page $40/extra page

Publication

Accepted papers of this symposium will be published in Applied and Computational Engineering (Print ISSN: 2755-2721), and will be submitted to Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Google Scholar, CNKI, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

The papers will be exported to production and publication on a regular basis. Early-registered papers are expected to be published online earlier.

This symposium is organized by CONF-CDS 2025 and will independently proceed the submission and publication process.

Venue

DS 2.01, University of Portsmouth, Portsmouth, UK

VISA


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