658 search results for “algorithmic decisions” in the Public website
-
Decision-free municipality administration causes loophole in legal protection
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…
-
Call for proposals on corporate and organizational decision-making
The Business & Liability Research Network (BLRN) – a partnership between the Company Law department and the Business Studies department of the Leiden Law School – presents the call for proposals for a new book project on the topic of Corporate and Organizational Decision-Making. Submissions are welcomed…
-
Why do citizens (not) support democratic innovations? The role of instrumental motivations in support for participatory budgeting
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.
-
Natural Computing
Research in the natural computing cluster covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.
-
Worsening problems with rules on tax authorities’ information decisions
Inspectors at the Dutch Tax and Customs Administration can require people to provide more information relating to their tax returns. Esther Huiskers-Stoop from the Tax Law department investigated the rules in place to protect us when we are required to provide information to the tax authorities.
-
Ancient Greek decision making with help from the gods
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.
-
Impact of automated decision-making on European public law
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.
-
Risky Business?
Behavioral and neural mechanisms underlying risky decision-making in adolescents
-
Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
-
Evert van Nieuwenburg
Science
e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523
-
Dirk van der Hoeven
Science
d.van.der.hoeven@math.leidenuniv.nl | +31 71 527 7146
-
Quantum Lab (aQa)
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.
-
The gravitational billion body problem
Promotor: Prof.dr. S. Portegies Zwart
-
Understanding deep meta-learning
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.
-
Theory
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…
-
New paradigm for visual recognition
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…
-
Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
-
Natural computing
Research in the natural computing group covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.
-
Caelesta Braun
Faculty Governance and Global Affairs
c.h.j.m.braun@fgga.leidenuniv.nl | +31 70 800 9977
-
Matt Young
Faculty Governance and Global Affairs
m.m.young@fgga.leidenuniv.nl | +31 70 800 9400
-
Mirre Stallen
Faculteit der Sociale Wetenschappen
m.stallen@fsw.leidenuniv.nl | +31 71 527 7336
-
Anne Urai
Faculteit der Sociale Wetenschappen
a.e.urai@fsw.leidenuniv.nl | +31 71 527 3371
-
Amandine Lerusse
Faculty Governance and Global Affairs
a.v.lerusse@fgga.leidenuniv.nl | +31 70 800 9400
-
Steven Miletic
Faculteit der Sociale Wetenschappen
s.miletic@fsw.leidenuniv.nl | +31 71 527 2727
-
Anne Stiggelbout
Faculteit Geneeskunde
a.m.stiggelbout@lumc.nl | +31 71 526 4575
-
Coen Wirtz
Faculteit der Sociale Wetenschappen
c.wirtz@fsw.leidenuniv.nl | +31 71 527 3731
-
Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
-
Joint Lectures on Evolutionary Algorithms
Lecture
-
Machine Learning
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…
-
Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
-
Deep learning for visual understanding
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.
-
Isogeny graphs, modular polynomials, and applications
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…
-
ELS Lab @Leiden member Niek Stohmaier et al on biases in bankers’ decision making
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.
-
Programme structure
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.
-
Artificial Intelligence & Machine Learning
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…
-
Theory
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…
-
Joint Lectures on Evolutionary Algorithms - November 2023
Lecture
-
Images of Galois representations
Promotores: S.J. Edixhoven, P.Parent
-
Computer programming
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.
-
Research
Developing computational algorithms for structural biology -A high resolution, three dimensional view of a molecule provides detailed information that help elucidate its function: by knowing the exact arrangement of atoms in a molecule, we can understand disease, develop drugs to combat them and improve…
-
Analysis of court rulings on ACM decisions under Dutch Competition Act
Prof. Ottervanger, professor emeritus of European Law and Dutch Competition Law has analysed 36 final court judgments concerning decisions by the Netherlands Authority for Consumers & Markets (ACM) in competition cases. The report was part of the review of the ACM that was conducted by the Dutch Ministry…
-
Take part in group decision-making research at the social interaction lab
To easily take part in group decision-making research, Jörg Gross, Assistent Professor Social and Organisational Psychology, launched a platform that allows students at the social interaction lab. Sign up to receive invitations if you are interested in taking part in on-going scientific studies in the…
-
Targeted Informed consent: empowering young participants in medical-scientific research
Promotor: J.M. van den Broek Co-promotor: M.C. de Vries
-
Resource allocation in networks via coalitional games
Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone
-
Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
-
Niek Strohmaier
Faculteit Rechtsgeleerdheid
n.strohmaier@law.leidenuniv.nl | +31 71 527 7997
-
Computational speedups and learning separations in quantum machine learning
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…
-
Following in nature's footsteps
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.
-
Weighing the impacts of our goods and services on the environment and climate: how to measure?
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…
-
‘Heritage decisions limit our ability to imagine alternative forms of society’
It is difficult to imagine a society other than a hierarchical nation-state. This is in part because we neglect alternative forms from the past, argues archaeologist Lewis Borck in the Journal of Contemporary Archaeology.