von Annika Gödde | 2. Mai 2025
The group of female AI researchers will address the question of how human-AI teaming can evolve beneficially over time within organizations. This involves understanding the psychological and social dynamics involved in human-AI collaboration, such as trust, team cohesion, and shared mental models. We will explore how these dynamics change over time and how they can be predicted and explored through research design choices.
We will use scenario techniques to work on potential future scenarios of human-AI teaming in the workplace. This will involve analyzing the temporal dynamics of AI implementation in work teams, focusing on the evolution of trust, team cohesion, and shared mental models. We will also discuss normatively desirable and potentially conceivable visions of human-AI teaming in the future.
von Annika Gödde | 23. April 2025
As social media platforms increasingly take on roles and responsibilities traditionally associated with nation states, new frameworks to evaluate their fragility must be developed. Using The Fund For Peace’s Fragile State Index as a model, Haythornthwaite, Mai & Gruzd (2024) articulated the Social Media Fragility Indicators, a set of indicators to measure and evaluate the fragility of social media platforms. Building on this, the working group will discuss and refine the proposed indicators. The overarching goal is to develop a robust framework that can provide prescient insights into the long-term viability of platforms, inform strategic interventions, and highlight cross-platform issues.
To advance this work, the working group will convene a set of international experts from diverse fields to evaluate the sources of social media fragility, refine the initial set of indicators of social media fragility, and devise measures to assess the fragility of social media platforms based on these indicators.
von Annika Gödde | 22. April 2025
This working group explores how academic platforms like ResearchGate, Academia.edu, and Medium shape the visibility of marginalized scholars – particularly women and non-binary individuals from the Global South. While these platforms promise greater access and engagement, they often reinforce existing inequalities through algorithmic bias, competitive scoring systems, and limited accessibility. Their goal is to understand how these digital environments impact the scholarly presence of underrepresented voices and to develop strategies that make academic platforms more inclusive. The project includes a user-focused survey and interviews, drawing from feminist theory and labor studies to evaluate the technical and social aspects of platform design.
von Annika Gödde | 10. März 2025
This project will research online gendered hate such as digital sexisms and gender-based online violence. They are particularly interested in visual misogynistic practices that “fly under the radar”. These include content moderation of visual gender violence; visual performance of gender identities, i.e. stereotyping, diminishing, branding, reinforcing imaginaries; and the role of aesthetics and design in (re)generating gender violence (Özkula et al., 2024).
The meeting at CAIS is intended to provide an opportunity to contrast and combine our collective methods and develop a methodology that better captures the complexity and diversity of cases of Platformed Visual Misogyny through comparative and multi-modal approaches (for which the groundwork has been laid in Özkula, Prieto-Blanco, Tan, & Mdege, 2024).
von Annika Gödde | 3. Februar 2025
How is artificial intelligence reshaping the way political parties operate, engage with citizens, and lead in democratic systems? Our working group, Rethinking Party Politics: The Impact of AI on Governance, Membership, and Leadership, tackles this critical question. We bring together leading scholars in party politics, AI ethics, and democracy studies to explore AI’s transformative influence on political strategy, grassroots mobilization, and decision-making processes. Through interdisciplinary dialogue, expert presentations, and hands-on scenario planning, we’ll investigate how AI impacts political parties using Katz and Mair’s (1993) three-level framework: the party in public office, the party on the ground, and the party central office. Despite the rapid growth of research on AI and democracy, few studies have focused on its impact on political parties key actors in representative systems. By addressing this gap, we aim to make a significant contribution to understanding the future of political organizations in the age of AI, inspiring further scholarship.
