The board of the NWO Division for Social Sciences and Humanities has awarded funding to researchers
Prof. A.R. Mackor
Prof. D.A. Lagnado
(UCL) in the Open Competition - SSH round 2021. This funding gives them the opportunity to do research on a topic of their own choice, without thematic prerequisites.
Over the last 20 years, wrongful convictions, such as Lucia de Berk (the Netherlands), Sally Clark (the United Kingdom) and Thomas Quick (Sweden), have raised serious concerns about errors that judges make in the evaluation of evidence. This has fuelled academic and societal debate on how judges and other legal factfinders can learn to reason more rationally about evidence in criminal cases.
Currently, the two main theoretical approaches to rational reasoning about legal evidence are the Bayesian probabilistic approach and the causal-explanatory approach. The Bayesian probabilistic approach is formal and offers a precise standard to evaluate evidence, but is difficult for lawyers to understand and apply correctly. The causal explanatory approach is easier to understand and to apply, but is informal and less precise. This project will investigate how the two approaches can be integrated into a method that is both rigorous and practically feasible.
Preventing Miscarriages of Justice aims to improve judicial evidential decision-making by:
The aim of the Open Competition – SSH is to facilitate excellent, non-programmed, curiosity-driven research that primarily addresses a social sciences or humanities research question and research problem. Researchers can apply for funding for different types of research: small or large research projects, and for individual projects or for research groups. Research can have a disciplinary, interdisciplinary or cross-domain character. The research can be aimed at international collaboration between researchers and/or research groups.
The next calls will close on 8 September (Open Competition XS) and 1 November 2022 (Open Competition M). A webinar on these programmes will take place on 23 August from 10:00-12:00.
This article was published by the Faculty of Law.
AI-based or AI-enabled weapons are not the futuristic robots that you might know too well if you are a sci-fi fan, such as the ones you might have seen in The Terminator. But the risks linked to the use of AI in war can still cause widespread damage...
In this one-year LLM programme, students will think creatively and learn from our leading researchers in the field of technology law.
PhD researcher Jamie Behrendt has created a unique website that provides a map of existing and developing microgrids in Europe.
The UG website uses functional and anonymous analytics cookies. Please answer the question of whether or not you want to accept other cookies (such as tracking cookies).
If no choice is made, only basic cookies will be stored. More information