Pre-recorded Conference Programme

Civil Society Advocacy: Roundtable

  • Civil Society Advocacy in AI Governance: Lessons Learned Roundtable – Corinne Cath (University of Oxford, UK), Vidushi Marda (Article 19), Frederike Kaltheuner (Mozilla Fellow), Fieke Jansen (Data Justice Lab), Kate Sim (University of Oxford, UK)

Open data

  • Doing Participation with Data? Configuring Engagement in Open Data, Data Activism and Data Journalism Projects – Jonathan Gray (King’s College London, UK)
  • The role of open data: From available to actionable data – Miren Gutiérrez and Marina Landa (University of Deusto, Spain)
  • Collaboration via open data standards as a means to level the knowledge playing field between citizens and government (and beyond) – Charlie Pinder and Matt Marshall (Open Data Services Co-operative, UK)

Civic responses, activism and countercultures

  • From controversies to controversing: infrastructuring civic participation in the datafied smart city – Corelia Baibarac-Duignan and Michiel de Lange (Utrecht University, NL)
  • Disruptions as democratic participation: Problematizing technologies for predicting civil unrest – Gabriel Grill (University of Michigan, US)
  • Analysing movement capacities – towards a common ground for data justice and digital rights activism? – Outi Puukko (University of Helsinki, FI)
  • Bogota’s CanAirIO: Enhancing Civic and Community Participation through Data Activism and Citizen Science – Andrés Lombana-Bermudez and Carlos Barreneche (Pontificia Universidad Javeriana, Colombia)
  • Digital Policy Advocacy and Tech Activism for Data Justice. Digital Justice Manifesto and Fediverse as case studies – Tales Tomaz (University of Salzburg, AT) and Outi Puukko (University of Helsinki, FI)

Inclusion and participation in policymaking and design

  • Participatory Local Budget from a Data Justice Lens – Virginia Brussa (UNR, Argentina)
  • Programming Diversity? Facilitating IT Participation of Underrepresented Groups – Annika Richterich (University of Sussex, UK)
  • Queering the Queries: Reviewing the Disciplinary Norms of Data Collection and their Effects on Sexual and Gender Minorities – Gaurav Lalsinghani and Ruba El Melik (University of California, Los Angeles, US)
  • An ethnography of state algorithms | ALMPS + datafication + participation + democracy — Ray Griffin (Waterford Institute of Technology, Ireland)

Data and surveillance

  • The rise of educational dataveillance: Children, datafication and the future of data rights – Zoetanya Sujon (London College of Communication, UK)
  • Hacking surveillance – Mareile Kaufman (Universitet i Olso, Norway)

Data and governance

  • Citizen Science Data Governance powered by the DECODE project – Oleguer Sagarra (DRIBIA Data Research), Pablo Aragón (Universitat Pompeu Fabra, Spain), Sam Mulube (Thingful, UK) Catalonia, Spain), Rohit Kumar (Eurecat – Technology centre of Catalonia, Spain), Guillem Camprodon (Institute for Advanced Architecture of Catalonia, Spain), Mara Balestrini (Ideas for Change), Javier Rodríguez (Institut Municipal d’Informàtica, Ajuntament de Barcelona, Spain), Pau Balcells (Institut Municipal d’Informàtica, Ajuntament de Barcelona, Spain) and David Laniado (Eurecat – Technology centre of Catalonia, Spain)
  • An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists – Michael Katell (The Alan Turing Institute, UK), Peaks Krafft (University of the Arts London), Meg Young (Cornell Tech, US)
  • Data trusts, trust openness – Aimee Whitcroft (ODC advisory board member/various)

Digital labour and health

  • What questions and whose voices count in guiding policies in the future of work? A practical workshop on value-sensitve innovation measurements (Chantale Tippett, Aleksandra Berditchevskaia and Stef Garasto, Nesta, UK)
  • My genes, my life: The mundanity of data in Twitter conversations about hereditary cancer conditions – Stefania Vicari (The University of Sheffield, UK)
  • Health Datafication and Justice: Casting a Comparative Analysis on Democratic Approaches to Foster Inclusion and Equitable Outcomes – Ilaria Galasso and Susi Geiger (University College, Dublin)

AIs: ethics, emotions, alternatives

  • Bias in, Bias out: Nutrition Labels for Datasets – Kasia Chmielinski (MIT, US)
  • Is a Slow AI Possible? – Jeremy Crampton (Newcastle University, UK)
  • Ethical AI needs good data but also good ownership structures – Pieter Verdegem (University of Westminster, UK)
  • Emotional AI and Empathic Technologies: Implications of an Ontology of Mediated Emotion – Vian Bakir and Andrew McStay (Bangor University, UK)

Data, AI and methods

  • Is Data Justice a News Frame in Media Reporting on Big Data and Artificial Intelligence? – Dennis Nguyen and Erik Hekman (HU University of Applied Sciences Utrecht, NL)
  • Bio-power, spatio-temporality and datafied selves: a note on methodology – Suneel Jethani (The University of Sydney, Australia)
  • It is their data! Decolonizing methods of information gathering in five communities of Chicago with civic media research – Yonty Friesem (Columbia College Chicago, US)

Data: autonomy, sovereignty, self-determination

  • Reclaiming Data Autonomy in an Age of Digital Platforms: Why data “ownership” is a myth – Damini Satija (Independent / Centre for Data Ethics and Innovation, UK)
  • The right to self determination in the age of big data – Ira Anjanli (Data Justice Lab, UK)