
معرفی
Roberta Sinatra is a Professor at IT University of Copenhagen working in the domain of Data Science Networks, Data, and Society. Her research spans network science, computational social science, and the science of science, with particular focus on algorithmic fairness, gender equality in scientific careers, and urban mobility networks.
Research Interests
Professor Sinatra's research focuses on understanding complex systems through network analysis with applications in social science, science policy, and urban planning. Her work examines how algorithms impact society, particularly in sensitive domains like child protection systems. She investigates historical patterns of gender inequality in scientific careers across countries and disciplines, and studies urban infrastructure networks such as bicycle systems. Her approach combines large-scale data analysis with theoretical modeling to address questions at the intersection of technology and society.
Publication Trends
Her recent publications demonstrate a growing focus on the societal impacts of algorithms and AI systems. From analyzing gender inequality in scientific careers to examining fairness in decision support algorithms for child protection, her work bridges technical analysis with social implications. The 2020 paper on gender inequality has been particularly influential with over 670 citations and significant policy impact, while her 2024 publications reflect increasing attention to real-world AI implementation challenges.
Awards
- Årets Forskningsmiljø 2022 (Research Environment of the Year 2022)
Research Funding and Leadership
As principal investigator, Professor Sinatra leads multiple significant research projects including 'Pushing Algorithmic Fairness with Models and Experiments' funded by the Villum Foundation (2021-2024), 'Mechanistic Models for Fair Science' funded by the Independent Research Fund Denmark (2021), and 'AIPrevalence: Quantifying the Prevalence and Diffusion of Generative AI in Science' (2024-2026). Her research on algorithmic bias received 6 million DKK in funding, demonstrating strong institutional support for her work.
Research Environment
She is part of a vibrant research group at ITU that was recognized as the Research Environment of the Year in 2022. Her team includes collaborators like Michael Szell and Vedran Sekara, working at the intersection of data science, social science, and policy. Media coverage of their work has appeared in numerous Danish outlets, reaching policy makers and the general public.



