Roberta Sinatra was one of the 19 recipients of this year’s Villum Young Investigators grant!
The Villum Young Investigator programme (YIP) focuses on attracting and retaining talented young Danish and international researchers at Danish universities. The aim is to support the development of high-level international research environments in the universities.
Roberta’s winning proposal was awarded with DKK 6M:
Bias Explained: Pushing Algorithmic Fairness with Models and Experiments
Algorithms for ranking scientific information have an issue: they use citations, which are ingrained with human biases. Therefore, their output is also biased, creating inequalities and raising concerns of discrimination. This project aims to uncover the mathematical bias mechanisms that drive different citation trajectories given same quality, and to use them for creating fair algorithms.
We are overwhelmed with joy for Roberta’s success, and are looking forward to her future groundbreaking research. The grant will allow the recruitment of one PhD student and two postdocs – so stay tuned for upcoming job calls.
Link: https://veluxfoundations.dk/en/19-new-villum-young-investigators-in-2021










We think it is important to lift people out of poverty and to guarantee them decent standards of living. However, to successfully promote economic growth, the high degree of complexity of the global market and regional industrial activities requires an integrated understanding of the ecosystem of complementary actors, knowhow, and capital. The way to do so is by conceptualizing productivity as an emerging property of a complex system made by simpler interacting parts. Complex systems are notoriously difficult to control but quantifying these interactions can identify the bottlenecks to growth and inform policy to bolster economic convergence. Using tools from economics, complex systems, and network science, we seek crucial insights that enable economic convergence. 



Vedran is a well-rounded scientist with a professional background from tech, academia, and the international development sector, starting at ITU as Assistant Professor. His work lies in the intersection between network science, ethics and computer science, harnessing the power of complex networks, massive datasets, machine learning and data visualization for public good. Vedran joined from UNICEF where he was a Principal Researcher focused on understanding how modern technologies, such as Machine Learning and Artificial Intelligence, impact our societies and its most vulnerable communities. His previous work has been covered in The Ecomomist, Forbes, Scientific American, and Die Zeit, and been featured on the cover of the Proceedings of the Natural Academy of Sciences.