At LINK, we investigate how digital media and AI are reshaping scientific knowledge production, creative work, and collective intelligence. Combining theory-driven investigations with large-scale data, we use quantitative network analysis, online experiments, surveys, and statistical and text-based methods to study interactions and behavior in technology-mediated environments. Our work uncovers systemic biases in the visibility and impact of science, examines how generative AI transforms creative processes and human collaboration, and explores how human–AI systems can be designed to improve group decision-making. Through this integrative approach, we contribute to Computational Social Science, Network Science, Social Computing, HCI, Science of Science, and Computer-Mediated Communication.
Digital Media, AI, and the Transformation of the Scientific Process
Digital media and AI are fundamentally transforming how scientific knowledge is produced and communicated. By combining large-scale empirical analysis with insights from science communication, this research agenda reveals the systemic biases that shape visibility and impact in the evolving scientific ecosystem.
Creativity, Networks, and AI-Mediated Collaboration
Creativity is increasingly shaped by technology-mediated collaboration, transforming how ideas are generated and developed. By integrating computational and network approaches, this research uncovers how generative AI reshapes creative processes while identifying new ways to enhance human creativity.
Collective Intelligence and Human-AI Complementarity
Collective intelligence emerges from the interplay between social systems and the tools that structure collaboration, increasingly including AI. This research explores how thoughtfully designed human–AI systems can improve decision quality and unlock more effective forms of group problem-solving.