758 search results for “algorithmic decisions” in the Public website
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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…
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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.
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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.
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Natural Computing and Optimization
Research in the Natural Computing and Optimization cluster covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.
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Terrorist Group Adaptation & Lessons for Counterterrorism (TERGAP)
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.
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Risky Business?
Behavioral and neural mechanisms underlying risky decision-making in adolescents
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AI-MAPS
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.
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Sanne van Can
Faculteit Rechtsgeleerdheid
s.k.p.van.can@law.leidenuniv.nl |
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Wouter Jong
Faculty Governance and Global Affairs
w.jong@fgga.leidenuniv.nl | +31 70 800 9506
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Mirre Stallen
Faculteit der Sociale Wetenschappen
m.stallen@fsw.leidenuniv.nl | +31 71 527 7336
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Anne Urai
Faculteit der Sociale Wetenschappen
a.e.urai@fsw.leidenuniv.nl | +31 71 527 3371
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Coen Wirtz
Faculteit der Sociale Wetenschappen
c.wirtz@fsw.leidenuniv.nl | +31 71 527 3731
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Simona Demkova
Faculteit Rechtsgeleerdheid
s.demkova@law.leidenuniv.nl | +31 71 527 2727
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Eliska Prochazkova
Faculteit der Sociale Wetenschappen
e.prochazkova@fsw.leidenuniv.nl | +31 71 527 2727
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Matt Young
Faculty Governance and Global Affairs
m.m.young@fgga.leidenuniv.nl | +31 70 800 9400
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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.
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The gravitational billion body problem
Promotor: Prof.dr. S. Portegies Zwart
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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.
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Fenying Zang
Faculteit der Sociale Wetenschappen
f.zang@fsw.leidenuniv.nl | +31 71 527 2727
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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…
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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…
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Natural computing
Research in the natural computing group covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.
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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…
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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
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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.
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Anne Stiggelbout
Faculteit Geneeskunde
a.m.stiggelbout@lumc.nl | +31 71 526 4575
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Tim van Lit
Faculteit Rechtsgeleerdheid
t.j.van.lit@law.leidenuniv.nl | 071 5272727
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Joyce Schot
Faculteit Rechtsgeleerdheid
j.schot@law.leidenuniv.nl | +31 71 527 2727
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Joint Lectures on Evolutionary Algorithms - December 2024
Lecture
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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.
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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…
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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.
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Images of Galois representations
Promotores: S.J. Edixhoven, P.Parent
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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.
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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.
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Joint Lectures on Evolutionary Algorithms - November 2023
Lecture
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Investigating Institutional Diversity and Innovation: AI adoption and implementation in Taiwan and The Netherlands
(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?
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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…
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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…
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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.
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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…
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About Us
The Centre for Computational Life Sciences
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Targeted Informed consent: empowering young participants in medical-scientific research
Promotor: J.M. van den Broek Co-promotor: M.C. de Vries
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Floor van Meer
Faculteit der Sociale Wetenschappen
a.f.van.meer@fsw.leidenuniv.nl | +31 71 527 2727
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Steven Miletic
Faculteit der Sociale Wetenschappen
s.miletic@fsw.leidenuniv.nl | +31 71 527 2727
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Amandine Lerusse
Faculty Governance and Global Affairs
a.v.lerusse@fgga.leidenuniv.nl | +31 70 800 9400
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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.
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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…
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Greenpeace asks the court for decision on entire Dutch nitrogen policy
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…
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Public Governance & Civil Society
How and why governments engage with civil society as well as how civil society organizes itself and exerts political influence constitute the key focus of the research programme Public Governance & Civil Society. As such, this research programme offers unique expertise within the field of public administration…