We invite the submission of high-quality manuscripts reporting relevant and work-in-progress research studies addressing various aspects of data science and analytics for equality, inclusion, and well-being challenges. Contributions should be of interest to a large and varied cross-disciplinary audience of researchers and practitioners involved or interested from different perspectives in societal challenges.

Methodologies and Concepts

  • Concepts, methodologies, solutions for sensing, modeling, managing, mining, and understanding people behavior and activity
  • Algorithmic accountability
  • Explainable algorithms
  • Machine learning for bias mitigation
  • Fairness-focused machine learning applications
  • Trustworthy AI: From Principles to Practices
  • Data analytics and artificial intelligent algorithms
  • Recommendations for people and analysts
  • Recommendations for policymakers
  • Intelligent systems to enhance user awareness of algorithm decisions
  • Ethical issues of data collection, storage, and exchange
  • Interactive query refinement and processing
  • Innovative solutions for exploring, analyzing and visualizing data
  • User-controlled algorithms for data integration, cleaning, and analysis
  • Perception-aware data processing and analytics
  • Database systems designed for highly interactive applications
  • Crowd-powered data infrastructure

Application Scenarios

  • Education
  • Private and public employment
  • Entrepreneurship
  • Healthcare applications
  • Public safety and security
  • Citizens' mobility and transportation
  • Urban economy and urban environments
  • Data journalism
  • Covid-19 pandemic
  • Gender Equality Plan
  • Inclusive Language
  • Social services, unemployment and homelessness
  • Economic, social and personal development
  • Government transparency
  • User-generated content (like tweets, micro-blog, check-ins, photos)

Societal Challenges

  • Smart-working
  • Gender gap
  • Balance of life and work times
  • Special needs
  • Ethnic and religious origin
  • Well-being
  • Topics aligned with the UN Sustainable Development Goals

DS4EIW 2026 welcomes submissions presenting original results and substantial new work not currently under review or published elsewhere.

Submission Tracks

The following submissions are accepted:

  • Regular research papers (up to 8 pages)
  • Short research, application, and vision papers (up to 4 pages)

The page limit excludes the references. No appendix is allowed.

Submission Guidelines

Manuscripts must be prepared in accordance with the same rules as ICDE conference papers, i.e., in accordance with the IEEE format available at https://www.ieee.org/conferences_events/conferences/publishing/templates.html.

Please submit your paper through the CMT-managed Online submission system, selecting Workshop "Fifth International Workshop on Data science for equality, inclusion and well-being challenges (DS4EIW 2026)".

Submission Link: https://cmt3.research.microsoft.com/DSEIW2026/Track/1/Submission/Create

Important Information

  • All submissions will be peer-reviewed by at least three members of the program committee
  • All accepted papers will appear in the IEEE ICDE 2026 conference proceedings
  • All accepted papers are expected to be presented at the workshop
  • At least one author of each accepted paper is required to register for the workshop
  • The workshop will be held in person in MontrĂ©al, Canada

For more details on submission guidelines, please visit the Authors page.