Centre of Competence for Data Science and Simulation is a cross-departmental initiative. Our ambition is to develop infrastructure, tools and competences in machine learning, big data, microsimulation and geoexperimentation to conduct excellent research and advise policy-makers as well as stakeholders

Under the series of discussions around data science we host:

·        Patterns of Knowledge Worker Productivity: Insights from GitHub Activity Data

Chair:             Ingo Isphording (IZA)

When:            Wednesday, 15 January 2025 from 12:30 to 13:30

Where:           LISER, MSH Mezzanine floor, Décanat room (# 0.517)

Summary:

GitHub activity data provides time-stamped records of developer actions, enabling the construction of daily patterns of output quantity, task complexity, quality, working hours, and sentiment at the individual level. Based on these patterns, we explore productivity effects of circadian rhythm disruptions among professional software developers. Using daylight saving time (DST) transitions as natural experiments, we document significant reductions in output and task complexity, with spillover effects in globally distributed teams. Effects differ by chronotype, with morning types outperforming evening types. These findings underscore the economic costs of circadian misalignments (social jetlag) and advocate for flexible work policies to enhance productivity and equity in modern work environments.