Mag. Dr. Katja Mayer
1090 Wien
Lehrveranstaltungen
Sommersemester 2026
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053620 VU Data Ethics and Legal Issues
Publikationen
Objectifying social structures: Network visualization as means of social optimization. / Mayer, Katja.
in: Theory & Psychology, Band 22, Nr. 2, 01.01.2012, S. 162-178.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
Imag(in)ing social networks: Zur epistemischen Praxis der Visualisierung Sozialer Netzwerke. / Mayer, Katja.
2011. 373 S.
Veröffentlichungen: Buch › Peer Reviewed
Scientific images? How touching! / Mayer, Katja.
in: Science, Technology & Innovation Studies, Band 7, Nr. 1, 2011.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
International Conference on Information and Knowledge Management, Proceedings: Foreword. / Tait, John; Harris, Christopher; Mayer, Katja et al.
in: Conference on Information and Knowledge Management, Proceedings, 01.12.2010, S. iii-iv.
Veröffentlichungen: Beitrag in Fachzeitschrift › Editorial › Peer Reviewed
3rd international Workshop on Patent Information Retrieval (PaIR'10). / Lupu, Mihai; Tait, John; Mayer, Katja et al.
CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops. 2010. S. 1977-1978.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Acting with Social Sciences and Humanities. / Mayer, Katja.
in: EASST Review, 2009.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
On the Sociometry of Search Engines: A Historical Review of Methods. / Mayer, Katja.
Deep Search: The Politics of Search Beyond Google. Hrsg. / Konrad Becker; Felix Stadler. Innsbruck: StudienVerlag, 2009. S. 54-72.
Veröffentlichungen: Beitrag in Buch › Beitrag in Buch/Sammelband › Peer Reviewed
Projekte
Large Language Models in der Strafverfolgung (LLEA)
K.REX:Knowledge Recognition for Evidence eXtraction
Zum offenen Umgang mit Daten in den computergestützten Sozialwissenschaften
Materialität und Zeitlichkeit performativer Sprechakte
Vorträge
THE POLITICS OF OPENNESS IN TIMES OF AI CAPTURE
AI Readiness and AI Resistance in Open Research Data Stewardship
Negotiating Openness in Fragmented Data Ecologies
The question of benefit in Citizen Science
Partizipative Forschung und digitaler Wandel
The Commons Approach: A Proposal for a Digital Humanist Agenda to (Re)Open Artificial Intelligence
uniMind-Workshop | "Digitale Überwachung, algorithmische Kontrolle und KI in der Arbeitswelt"
Open Science in Decline? Data Sharing between AI commons and predatory capture.
Openness in Dialogue: Science, Citizens, Communication
Katja Mayer: Can Citizen Science Teach Democracy?
The next mission: Unlocking Europe's AI Potential
Beyond the Hype: Re-situating AI, Power, and Democracy
Negotiating Openness: The Politics of Registry Data Infrastructures in Austria
Reimagining AI through social innovation
AI Act in Action: Compliance, Oversight, and Enforcement
Re-Situating Digital Humanism: Feminist Epistemology, Critical Posthumanism, and STS Scholarship
Digital Commons Task Force (DCTF) - Panel Discussion on European Sovereignty
Offene Forschungsdaten und KI: Wer kontrolliert, wer trägt Verantwortung?
Openness and Participation: Building Foundations for Responsible and Inclusive Collaboration in Citizen Science
Thriving open and participatory science, reluctant STS?
Offene Forschungsdaten und Künstliche Intelligenz: Verantwortung und Kontrolle im Spannungsfeld der knowledge commons
Digital Humanism in Action: The Power of Knowledge Commons in Research and Innovation
Transparency and intelligence? Advancing artificial intelligence with Open Science
AI and Democracy
Data Literacy and Independent Research in the Post-API Age: Exploring Challenges and Opportunities for Social Network Analysis
Differential Data Equity: Observations on Infrastructuring Participation in Citizen Social Science
Participatory Turns: The bumpy roads to recognition of participatory approaches in the social sciences, and lessons for citizen science
Open for Whom? The Un/intended Divides of Open Science
Politics of Open Infrastructures
Navigating the Paradox: Open Data, AI, and the Delicate Balance of Openness
Infrastructuring Participation
Navigating the EU Data Strategy: Challenges and Opportunities for Industry and Public Authorities
Open science diplomacy for an ethical and trustworthy global AI
The Importance of Open and FAIR Data Sharing
Dateninfrastrukturen der Künstlichen Intelligenz: Datenpolitik zwischen Offenheit und Extraktion.
Reflecting Co-Evaluation and the Promises of Citizen Science
Re-valuing Openness: contested open data practices in global machine learning
Eingabe Künstliche Intelligenz
In/visibilities of inequalities in the global digital transformation
The SDGs as opportunities and challenges for research performing organisations
How the influence of industry forms our political opinion: what we learn from civil society research
Digitaler Humanismus
Challenging the understanding of roles and ownership in citizen social science: the coact experience
Open Science Diplomacy
Digital Technologies and Labour Market Policy: the AMS Algorithm
Data Governance in Times of Crisis
Der Umgang mit Offenheit in der Wissenschaft - Informationsprodukte aus der Forschung für die Allgemeinheit
"Training Trust: Negotiating Machine Learning in Forensic Analytics in Criminal Prosecution"
Open data practices out of the spotlight: what we can learn from initiatives that collect data on the socio-political and economic impacts of the pandemic and its management
Engaging with pandemic knowledge: open social science and policy
Open Science: Joint Efforts for a Better Future
Management von Forschungsdaten in den Sozialwissenschaften
Co-Evaluation
Digital Transformation of Austrian Humanities – accelerated?
Reaching the hard to reach? Reflexionen und Strategien zur Einbindung von Co-Forschenden, die als schwer erreichbar gelten
Open Science in Österreich
Co-evaluation in citizen (social) science
Encounters in Citizen Science
COVID-19, Big Data and civil liberties - where is the journey going?
Big Open Data - Challenges & Opportunities
Digital transformation - why cities should foster their communities of practice
Machine Learning for Open Science
Digitale Souveränität: Der Handlungsspielraum zwischen Individuum und Gemeinschaft
Open Science - Wissen von- und für Menschen in der Gesellschaft
To Study "Soft" Sciences
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