Workshops and Tutorials

Accepted workshops and Tutorials will be held on June 26th.

Registration fee for attending workshops or tutorials is included in the general conference registration, or can be booked seperately as workshop/tutorial only registration. See the registration page for details.

Some workshops/tutorials may have limited capacities, and some may be based on calls for papers/contributions. Please check the information provided from the workshop/tutorial organizers for details.

More information is coming on the following days.

Workshops

1st Workshop on Blockchain and AI for Community

Information, communication technologies and telecommunication for development (ICT4D) aim to bridge the digital divide between rural and urban contexts and improve socio-economic wellbeing of marginal, underserved communities combining old and new technologies: radio, phone, television, computers, internet, mobile devices. Presently, in the emerging industrial revolution 4.0 (IR 4.0) novel technologies such as blockchain technologies and Artificial Intelligence are attracting attention. Interdisciplinary research is needed to explore the opportunities of these novel technologies for community-oriented socio-economic development.

  • Cheah Waishiang (FCSIT, UNIMAS, Malaysia)
  • Alexander Norta  (Dymaxion OÜ, Estonia)
  • Sim YeeWai (Faculty of Computing and Engineering, QIU, Malaysia)
  • Sadok Ben Yahia (Department of Software Science, Tallinn University of Technology, Estonia)

Format: Online only

Website: Link


Assessing The Ethical Implications Of Artificial Intelligence In Policing

This workshop addresses the question, “how can the Police and developers assess the ethical impact of AI in policing?”. This question arises from Trilateral Research’s recent experience with assessing the ethical impact of AI in policing, during which we have identified two main problems. Firstly, unethical or insufficiently ethical AI tools continue to be developed for, and deployed by, police, therefore, how can the police and developers assess ethical impacts? Secondly, there appears to be a lack of widespread, nuanced awareness concerning how to evaluate the ethical implications of AI tools in policing, therefore, how do the police and developers co-create “ethical by design” AI technologies? In addressing these questions across three interdisciplinary streams of ethical theory, Explainable AI and co-design, we make this workshop relevant to Web Science with theoretical, socio-technical and practical insights.

  • Stephen Anning (Trilateral Research, UK)
  • Zachary Goldberg (Trilateral Research, UK)

Format: Hybrid (In Barcelona with streaming for online participation)

Website: Link


General Collective Intelligence and Web Science

General Collective Intelligence (GCI) is an emerging science that creates the possibility of exponentially increasing the general problem-solving ability of groups which various researchers have hypothesized to be measured by the group’s collective intelligence factor (c), which has been equated with the group’s ability to solve any problem in general. This translates into radically increasing capacity for social impact so that “wicked” social problems might be more reliably solvable where they have not proved to be in the past. This workshop explores both GCI and the patterns through which GCI might be leveraged to achieve this radically increased social impact. This workshop will explore how, in the absence of GCI, groups suffer from systematic errors in decision-making that limit their collective intelligence.    

  • Andy Williams (Nobeah Foundation, Nairobi, Kenya)

Format: to be confirmed

Website: Link


Creating customized learning experiences on the web: AI for a competency-based adaptive E-learning

The intersection of AI and education is highlighted by many technologists, educators, and researchers highlight the intersection of AI and education, showing the diverse possibilities and challenges of using AI in education and for learning. The work on human-computer interaction and taxonomy of the learning types presents a huge potential in this area. Nonetheless, little research addresses the potential of using AI to improve e-learning experience and to bring personalized experiences to e-learners. In this workshop, we discuss how AI could be used to develop an adaptive e-learning experience using a competency-based learning framework. Based on the type of learners, their competencies, and their performance levels, we postulate an ‘intelligent learning’ framework, a new form of MOOC design. Therefore, we seek to bring together educators and MOOC designers to practice this framework of integrating expert views with AI for improved learning experiences on the web.

  • Samah El Khateeb (Ain Shams University, Egypt)
  • Mennatullah Hendawy (TU Berlin, Germany)
  • Ahmed Rezk (Ain Shams University, Egypt)
  • Mohamed Dahy (Helpu e.V. Germany)

Format: Online only

Website: Soon..


Documenting Web Data for Social Research  #DocuWeb22

This workshop attempts to collaboratively discover best practices and frequent pitfalls encountered when working with Web data. Participants will be presented with different perspectives on the significance of data quality in this specific context and familiarized with existing, structured approaches for the critical reflection on and documentation of data collection processes, before being invited to share their own experiences with the collection, use and documentation of Web data. We hope to thereby inspire participants to further integrate data documentation practices into their research processes, and for us to learn from the participants’ experiences to improve existing documentation frameworks for Web data.

  • Indira Sen (Leibniz-Institut für Sozialwissenschaften in Köln, Germany)
  • Leon Fröhling (Leibniz-Institut für Sozialwissenschaften in Köln, Germany)
  • Katrin Weller (Leibniz-Institut für Sozialwissenschaften in Köln, Germany/ Center for Advanced Internet Studies, Bochum, Germany)

Format: Hybrid (In Barcelona with streaming for online participation)

Website: Link

Tutorials

Coornet: detecting problematic online coordinated link-sharing behavior

Coordinated Inauthentic behavior is among the most dangerous and effective way to propagate problematic information online. This tutorial will present CooRnet an R packages developed in 2020 to detect a specific type of online coordinated behavior: coordinated link sharing on Facebook. The tutorial will introduce the participants to the concept of Coordinated Link Sharing behavior (CLSB) explaining the main functionalities of the Coornet package. It will support the participants in their own CLSB detection starting from CrowdTangle data.

  • Luca Rossi (University of Urbino Carlo Bo, Italy)
  • Fabio Gigloetto (IT University of Copenhagen, Denmark)
  • Giada Marino (University of Vienna, Austria)
  • Nicola Righetti (University of Sassary, Italy)

Format: Online

Website: Link

Workshop and Tutorials Chairs

  • Anna Bon, Vrije Universiteit, Amsterdam, Netherlands
  • Srinath Srinivasa, International Institute of Information Technology, Bangalore, India

Contact

websci22-workshops-tutorials@easychair.org