671 search results for “algorithmic decisions” in the Public website
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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…
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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…
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Niek Strohmaier
Faculteit Rechtsgeleerdheid
n.strohmaier@law.leidenuniv.nl | +31 71 527 7997
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Resource allocation in networks via coalitional games
Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone
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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…
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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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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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Successful ‘landmark decisions’ panel discussion at ISLSSL World Congress in Rome
Yvonne Erkens and Fieke Weber, both from the Department of Labour Law and Social Security, recently organised a panel discussion on behalf of the International Labor Rights Case Law Journal (ILaRC). The discussion took place during the ISLSSL World Congress in Rome and was a huge success.
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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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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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‘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.
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‘Price-setting is one of the most difficult marketing decisions'
The price of products and services plays an enormous role in society, and therefore also in the legal domain, according to Professor of Business Studies. Inaugural lecture 2 June.
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Webinars
On this page you will find a collection of presentations and videos of the Florence Nightingale Colloquia, seminars at the faculty and other event recordings hosted by the Data Science Research Programme.
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System Verification Lab (SVL)
The correctness of computational systems is of great importance to our society, since it becomes ever more reliant on the benefits of computing.
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Basis reduction for layered lattices
Promotor: H.W. Lenstra
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Decompositions in algebra
We show that Kirchhoff ’s law of conservation holds for non-commutative graph flows if and only if the graph is planar. We generalize the theory of (Euclidean) lattices to infinite dimension and consider the ring of algebraic integers as such a lattice.
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Exploring deep learning for multimodal understanding
This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.
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Computability of the étale Euler-Poincaré characteristic
Promotor: S.J. Edixhoven, L.D.J. Taelman
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Links between cohomology and arithmetic
Promotor: S.J. Edixhoven
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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Structure and substructure in the stellar halo of the Milky Way
Promotor: K.H. Kuijken
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SAILS Lunch Time Seminar: Francien Bossema
Lecture
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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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Software developments in automated structure solution and crystallographic studies of the Sso10a2 and human C1 inhibitor protein
Promotor: J.P. Abrahams, Co-Promotor: N.S. Pannu
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Detection of Archaeological Sites in High Resolution Satellite Images
In this project we develop algorithms to automatically detect a particular type of archaeological sites in satellite images of the Alps.
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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…
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Executive Board decision after University Council advice: People counters will not be switched on again
The more than 370 sensors that have been hung up in Leiden University buildings to count the people present will not be switched on again. The equipment will eventually be removed from the buildings.
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SAILS
SAILS (Society, Artificial Intelligence and Life Sciences) is a universitywide initiative aimed at facilitating collaboration across disciplines on the use of Artificial Intelligence (AI). It is one of Leiden University's interdisciplinary programmes.
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The PNR decision and beyond: Melanie Fink on the consequences of automation for the right to good governance
From 23 to 24 February 2023, the Conference ‘The Future of the European Security Architecture: The CJEU’s decision on Passenger Name Records and beyond’ took place at the KNAW in Amsterdam.
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eLaw publishes article in Computer Law & Security Review
In healthcare, gender and sex considerations are crucial because they affect individuals' health and disease differences. Yet, most algorithms deployed in the healthcare context lack close consideration of these aspects and do not account for bias detection. In their latest paper, Eduard Fosch-Villaronga,…
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Playing a role – but which one?
How public service motivation and professionalism affect decision-making in dilemma situations. Individuals who work in the public sector see themselves confronted with conflicting values, contradictory demands, and the need to serve an at times difficult to define ‘public interest’.
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Emotions in EU foreign policy - when and how do they matter?
Politicians' statements often involve emotions, shaping public perceptions. This study highlights the role of emotions in EU foreign policy.
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New scanning method turns objects inside out at high speed
What if you could watch a CT scan live, instead of analysing the images afterwards? If it is up to the Leiden mathematician Jan-Willem Buurlage, that will soon be a reality. He is developing methods to make the algorithms behind 3D scans faster. Quite a challenge: ‘Just like mathematicians, computers…
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The widow, the neighbour and the pump in the garden pond: how court decisions could respond better to society
People come to court because of a legal dispute, and often think that the court decision will also resolve the underlying conflict. But that is not always the case. ‘Court decisions should provide a better response to the needs and the nature of citizens,’ argues professor by special appointment Rogier…
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Ahmed Mahfouz: 'The mystery of brain diseases, unravelled cell by cell'
Which brain cell does what, when Parkinson's disease arises? It won't be long before this jigsaw is solved piece by piece. Ahmed Mahfouz, computational biologist, combines bio-knowledge from Leiden with algorithms from Delft and is getting closer to finding the key.
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Computational Drug Discovery
Research in this group, headed by Gerard van Westen, focusses on computational methods integrated in different parts of the drug discovery process. More specifically, topics include innovative treatments for cancer, selectivity modeling, translational research, allosteric modulation, drug resistance…
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Data science
The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…
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Computer Science at Leiden University
Leiden Institute of Advanced Computer Science (LIACS)
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Handbook of Natural Computing
Natural Computing investigates algorithms and phenonema based on nature to create better and new computer science innovations.
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XAIPRE - Explainable AI For Predictive Maintenance
The project XAIPre (pronounce “Xyper”) aims to develop predictive maintenance system for the maritime industry using sensor technology and artificial intelligence. The project aims at developing Explainable Predictive Maintenance (XPdM) algorithms that do not only provide the engineers with a prediction…
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NeuroSoC
NeuroSoC concentrates on multiprocessor systems on chip with in-memory neural processing units.
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Proteochemometric modelling coupled to in silico target prediction
An integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.
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Structured Parallel Programming for Monte Carlo Tree Search
The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.
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Radicals in arithmetic
Promotor: Prof.dr. P. Stevenhagen, Co-promotor: Prof. dr. B. de Smit
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Real-time tomographic reconstruction
With tomography it is possible to reconstruct the interior of an object without destroying.
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The use of Deep Learning in the automated detection of archaeological objects in remotely sensed data
Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…
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Quantum computation with Majorana zero modes in superconducting circuits
Promotor: C.W.J. Beenakker, Co-Promotor: A.R. Akhmerov
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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Harmonic duality : from interval ratios and pitch distance to spectra and sensory dissonance
This dissertation derives from the development of tools for algorithmic composition which extract pitch materials from sound signals, analyzing them according to their timbral and harmonic properties, putting them into motion through diverse rhythmic and textural procedures.
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Gibbs processes and applications
Gibbs processes, g-measures, fuzzy Gibbs states