904 search results for “algorithmic decisions” in the Public website
-
Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
-
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.
-
Academic Year centred around strategic plan: 'Our compass to make decisions'
Het strategisch plan van de faculteit wiskunde en natuurwetenschappen (FWN) werd gepresenteerd tijdens de opening van het academisch jaar 2023-2024.
-
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,…
-
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’.
-
The psychological poverty trap: How lack of money impacts decision-making, procrastination and loss of control
Lack of money impacts how a person takes financial decisions: now or preferably later. Procrastination and avoidance behaviours in turn have an effect on lack of money, which can result in a sense of loss of control. These are the findings of psychologist Leon Hilbert in his PhD research, although the…
-
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…
-
The search for a ‘quantum advantage’
Proving a quantum computer to be quicker than a normal one is one step closer. After a breakthrough in speeding up classical algorithms, researchers Vedran Dunjko and Casper Gyurik showed that only one quantum algorithm could beat its classical counterpart. They discuss their discovery in Quanta Mag…
-
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…
-
CANCELLED: LCN2 Seminar: Algorithms for Network Visualization and beyond
Lecture
-
Handbook of Natural Computing
Natural Computing investigates algorithms and phenonema based on nature to create better and new computer science innovations.
-
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.
-
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…
-
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…
-
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…
-
Proteochemometric modelling coupled to in silico target prediction
An integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.
-
NeuroSoC
NeuroSoC concentrates on multiprocessor systems on chip with in-memory neural processing units.
-
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.
-
Multi-objective Evolutionary Algorithms for Optimal Scheduling
PhD defence
-
Don't Blink: Detecting transiting exoplanets with MASCARA
This thesis describes the Multi-site All-Sky CAmeRA (MASCARA), which consists of two small robotic telescope designed to detect exoplanets around the brightest stars in the sky.
-
Quantum computation with Majorana zero modes in superconducting circuits
Promotor: C.W.J. Beenakker, Co-Promotor: A.R. Akhmerov
-
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.
-
Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
-
Radicals in arithmetic
Promotor: Prof.dr. P. Stevenhagen, Co-promotor: Prof. dr. B. de Smit
-
Real-time tomographic reconstruction
With tomography it is possible to reconstruct the interior of an object without destroying.
-
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…
-
Gibbs processes and applications
Gibbs processes, g-measures, fuzzy Gibbs states
-
Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
-
Een algemene normtheorie toegepast op open normen in het belastingrecht
On 14 May 2020, Pieter Rustenburg defended his thesis 'Een algemene normtheorie toegepast op open normen in het belastingrecht'. The doctoral research was supervised by Prof. A.O. Lubbers and Prof. J.L.M. Gribnau.
-
Making problem solving more efficient
The recently promoted Hao Wang from the Leiden Institute of Advanced Computer Science teaches computer programmes how to solve real-world problems. His goal is to make the process of problem-solving more efficient. On 1 November, he obtained his doctorate with the predicate cum laude. ‘I hope to solve…
-
President Poroshenko: ‘I hope the Dutch people will make a wise decision’
The association agreement between the EU and Ukraine is highly important for peace in Ukraine, and it is therefore essential that Europe weathers these difficult times. These were the words of Ukrainian President Petro Poroshenko on 27 November during his Europe Lecture at Leiden University.
-
Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
-
615 million euros for quantum research
Quantum Delta NL, a research programme in which Leiden University participates, has been awarded 615 million euros from the National Growth Fund to help develop the Netherlands into a top player in quantum technology. This has been announced at the presentation of the honoured proposals in The Hague…
-
Extrasolar Planet Detection Through Spatially Resolved Observations
Promotor: Prof. dr. I. Snellen, Co-Promotor: Dr. M. Kenworthy
-
Ik kijk er naar uit om de komende jaren kruisverbanden te gaan leggen tussen de verschillende organisaties.
In november 2023 is Anne Fleur van Veenstra, wetenschappelijk directeur van TNO Vector, benoemd tot bijzonder hoogleraar ‘Governance van data en algoritmen voor stedelijk beleid’.
-
European University Institute Fellowship on AI for Madalina Busuioc
Madalina Busuioc, Associate Professor at the Institute of Public Administration, has been awarded the prestigious Fernand Braudel Senior Fellowship by the European University Institute (EUI) in Florence.
-
Research
Research in the POD-group addresses all features of random phenomena – modelling, structuring, analysis, control, optimisation – and covers both fundamental and applied aspects.
-
wall in spontaneous action: ‘We are going to discuss this and reach a decision’
During a meeting at the University on 10 November, staff spontaneously removed a painting by artist Rein Dool from the wall in one of the meeting rooms in the Academy Building, reversed it and placed it on the floor. A tongue-in-cheek action with a serious undertone. This has led to a lot of commotion…
-
Pre-Trial Detention in the Dutch Juvenile Justice System
To what extent is the legislation and use of pre-trial detention of juveniles in the Netherlands in compliance with international children’s rights standards?
-
Rethinking Responsible Scholarship: ‘It is in so many day-to-day decisions, we forget to pause and reflect sometimes’
Psychologists Anna van ‘t Veer and Eiko Fried will start a scientific integrity workshop tour after the summer, called Responsible Scholarship: Psychology. Their aim: giving the subject a more prominent position in the academic’s mind.
-
Administrative burden in digital public service delivery
How does the social infrastructure affect administrative burdens associated with digital government services? The paper 'Administrative burden in digital public service delivery: The social infrastructure of library programs for e-inclusion' published in the Review of Policy Research by Sarah Giest…
-
Computational Network Science Lab
The Leiden Computational Network Science Lab (CNS Lab) researches methods for knowledge discovery from real-world network data.
-
Arakelov invariants of Belyi curves
Promotores: Bas Edixhoven, Jean-Benoit Bost, Co-promotor: Robin de Jong
-
Reinforcement learning
The Reinforcement Learning lab conducts research into Reinforcement Learning and Intelligent Combinatorial Algorithms.
-
Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution
On 12 September 2019, Michiel Rhoen defended his thesis 'Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution in the context of big data'. The doctoral research was supervised by Prof. G.J. Zwenne and Prof.…
-
The power of one qubit in quantum simulation algorithms
PhD defence
-
Optimization of quantum algorithms for near-term quantum computers
PhD defence
-
Inhibitor Selectivity: Profiling and Prediction
Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.
-
Discovering the preference hypervolume: an interactive model for real world computational co-creativity
In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.
-
Improved Strategies for Distance Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.