760 search results for “algorithmic decisions” in the Public website
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Felix Frohnert
Science
f.frohnert@liacs.leidenuniv.nl | +31 71 527 2727
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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Guilherme Perin
Science
g.perin@liacs.leidenuniv.nl | +31 71 527 2727
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Jan van Rijn
Science
j.n.van.rijn@liacs.leidenuniv.nl | +31 71 527 2727
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Frank Takes
Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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Data Science and Artificial Intelligence (BSc)
The focus of the Bachelor Data Science & Artificial Intelligence is on computer science, and its applications in Artificial Intelligence. You will receive a strong basis in mathematics, statistics and computer science, combined with advanced knowledge of machine learning, cognitive science, human-robot…
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Floske Spieksma appointed professor of Stochastic Decision Theory
As of 1 June, Floske Spieksma has been appointed Professor at the Mathematical Institute in Leiden. Her field of study is Stochastic Decision-Making. Within this field, researchers develop mathematical techniques to analyse and improve processes within organisations. ‘As a professor, I hope to safeguard…
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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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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.
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Natural Computing
Research in the natural computing cluster covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.
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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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Risky Business?
Behavioral and neural mechanisms underlying risky decision-making in adolescents
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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Evert van Nieuwenburg
Science
e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523
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Dirk van der Hoeven
Science
d.van.der.hoeven@math.leidenuniv.nl | +31 71 527 7146
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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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Algorithm for Structural Variant Detection
PhD defence
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
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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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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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Climate change presents African grazers with tricky decision
Lions limit their prey, such as zebra and gnu, in their options for adapting to global warming. This is what Leiden researcher Michiel Veldhuis, from the Institute of Environmental Sciences, and a group of international colleagues have discovered. The research was published today in Nature Ecology &…
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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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Caelesta Braun
Faculty Governance and Global Affairs
c.h.j.m.braun@fgga.leidenuniv.nl | +31 70 800 9977
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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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Amandine Lerusse
Faculty Governance and Global Affairs
a.v.lerusse@fgga.leidenuniv.nl | +31 70 800 9400
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Coen Wirtz
Faculteit der Sociale Wetenschappen
c.wirtz@fsw.leidenuniv.nl | +31 71 527 3731
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Steven Miletic
Faculteit der Sociale Wetenschappen
s.miletic@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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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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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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Joint Lectures on Evolutionary Algorithms
Lecture
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
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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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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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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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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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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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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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Joint Lectures on Evolutionary Algorithms - June 2024
Lecture
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Joint Lectures on Evolutionary Algorithms - November 2023
Lecture
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture