Events

The lab organises several events to connect researchers working on/with digital research methods. An overview of events organised by the lab can be found here.

Meeting on Experience Sampling Methods

During the last member-meeting of the academic year, Lara Wolfers and Susanne Baumgartner hosted a session on the usage of Experience sampling methods (ESM). They shared their insights into the advantages and challenges associated to this method as well as information on analysing the data that can be gathered through this method. Accompanied by several examples from their own work, this meeting was a very good opportunity for those interested to learn more about the method!

Workshop on Agent-Based Modeling using NetLogo

Taught by Daniel Mayerhoff, the Digicomlab hosted a workshop providing a soft introduction to agent-based modeling using the user-friendly software NetLogo. The workshop was aimed at social scientists without extensive programming knowledge seeking to use simulated data alongside empirical research. Social simulations can be used at the hypothesis formation stage, applied for analyzing cases that are difficult to study in an ethically acceptable way, or can help to fill gaps in the causal inferences.

CONVERSATIONS: International Workshop on Chatbot Research

CONVERSATIONS 2022 is hosted by the University of Amsterdam, through its Digital Communication Methods Lab, in collaboration with the University of Oslo, Centre for Research on Media Innovations (CRMI), and SINTEF – supported by the Research Council of Norway.

Lecture on the effects of AI media (by Shyam Sundar)

Professor Sundar’s presentation, co-sponsored by the Digital Communication Methods Lab, overviewed different ways of conceptualizing the role of artificial intelligence (AI) in human communication. It discussed key concepts and concerns in the study of AI. It introduced the speaker’s theoretical framework for human-AI interaction (HAII) based on the theory of interactive media effects (TIME), and describe recent studies that apply his HAII-TIME model to content moderation and recommendation systems.