In recent years, the question why citizens (do not) support democratic innovations has attracted increasing academic attention. In this research note, Van Der Does & Kantorowicz for the first time empirically verify what drives citizens’ instrumental considerations in their evaluation of a DI.

Municipalities are increasingly attempting to solve problems without issuing decisions. A notification procedure (notification – investigation – application – decision) has recently been introduced that replaces part of the traditional application procedure. Ymre Schuurmans, Professor of Constitutional…

Research in the Natural Computing and Optimization cluster covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.

In the world of Ancient Greece the interpretation of supernatural signs was a versatile tool to facilitate decision-making. This is the central hypothesis of the PhD dissertation of historian Kim Beerden. Defence on 14 February.

From 14 to 15 September 2023, Simona Demkova, AI researcher at the Europa Institute, participated in the INDIGO Project Final Conference, where she provided valuable perspectives on the implications of AI for European public law.

AI MAPS adopts a freedom and social well-being perspective and focuses on three themes to address key security challenges; Social disorder and public nuisances in neighbourhoods, High-impact crime, and Crowds and events.

Terrorist groups adapt to environmental changes to maintain power. This project provides new insights by developing a theory of strategic target selection and using big data analytics and machine learning to test these hypotheses.

Behavioral and neural mechanisms underlying risky decision-making in adolescents

Quantum computing is a novel paradigm for computation, which is nearing real-world impact with the coming generation of limited, but nonetheless powerful quantum devices.

Promotor: Prof.dr. S. Portegies Zwart

The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.

Many important topics in computer science, such as the correctness of software, the efficiency of algorithms and the modeling of complicated systems, depend on sound theoretical underpinnings. In the Theory group, we study these fundamental building blocks and develop verification methods to prove system…

Leiden University computer scientists Yu Liu, Yanming Guo and Michael Lew are a step closer to their ultimate goal: search engines with visual recognition. Their publication of a new algorithm for fusing multi-scale deep learning representations has been received with great enthusiasm. No other algorithm…

Research in the natural computing group covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets

A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.

With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.

Lecture

This thesis has three main parts. The first part gives an algorithm to compute Hilbert modular polynomials for ordinary abelian varieties with maximal real multiplication. Hilbert modular polynomials of a given level b give a way of finding all of the abelian varieties that are b-isogeneous to any given…

This programme is aimed at students who have a strong interest in programming and computer science, as well as an interest in the cognitive psychology and artificial intelligence.

Promotores: S.J. Edixhoven, P.Parent

In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

We see computer programming as an essential skill. It enables you to be self-sufficient in building tools, processing data, visualizing research output, communicating research results, etc. Moreover, it empowers you to make beautiful things.

Lecture

Many important topics in computer science, such as the correctness of software, the efficiency of algorithms and the modeling of complicated systems, depend on sound theoretical underpinnings. In the Theory group, we study these fundamental building blocks and develop verification methods to prove system…

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

(1) What are the institutional factors that influence AI adoption and implementation? and (2) How does AI reshape the exercise of administrative discretion within public organisations, and how do adoption and implementation choices moderate these effects?

This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…

The Centre for Computational Life Sciences

A recent publication by Niek Strohmaier, Assistant Professor of Empirical Legal Studies (ELS) Lab @Leiden, together with Professor Jan Adriaanse, Professor Kees van den Bos and Associate Professor Helen Pluut, has been accepted by the Journal of Applied Social Psychology.

A neural network mimics how our brain works. Evolutionary algorithms use the principle of natural selection to solve complex problems. This kind of 'natural computing' is being used to improve the diagnosis of Parkinson's disease or the production of steel.

Promotor: J.M. van den Broek Co-promotor: M.C. de Vries

The car we buy is made out of thousands of components, which are produced using different types of materials. These materials need to be sourced from different places, sent to production facilities and assembled. Once the car is dismissed, the components need to be taken care of by either reusing, recycling…

Environmental organisation Greenpeace wants to see a drastic reduction in nitrogen deposition on the Netherlands’ most vulnerable nature conservation areas. This would extend beyond the nitrogen targets that the Dutch government is currently striving to meet. Rogier Kegge, Assistant Professor of Constitutional…