Possible topics across methodological approaches and digital contexts include but are not limited to:

Understanding the Web

    Automation and AI in all its manifestations relevant to the Web
    Trends in globalization, fragmentation, and polarization of the Web
    The architecture and philosophy of the Web
    Critical analyses of the Web and Web technologies

Making the Web Inclusive

    Issues of discrimination and fairness
    Intersectionality and design justice in questions of marginalization and inequality
    Ethical challenges of technologies, data, algorithms, platforms, and people on the Web
    Safeguarding and governance of the Web, including anonymity, security, and trust
    Inclusion, literacy, and the digital divide

The Web and Society

    Social machines, crowd computing, and collective intelligence
    Web economics, social entrepreneurship, and innovation
    Legal issues, including rights and accountability for AI actors
    Humanities, arts, and culture on the Web
    Politics and social activism on the Web
    Online education and remote learning
    Health and well-being online
    The role of the Web in the future of (augmented) work
    The Web as a source of news and information, and misinformation

Doing Web Science

    Data curation, Web archives and stewardship in Web Science
    Temporal and spatial dimensions of the Web as a repository of information
    Analysis and modeling of human vs. automatic behavior (e.g., bots)
    Analysis of online social and information networks
    Detecting, preventing, and predicting anomalies in Web data (e.g., fake content, spam)