948 search results for “literatuur and data” in the Public website
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Daniel ValeFaculteit der Rechtsgeleerdheid
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Julian KarchFaculty of Social and Behavioural Sciences
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Staying healthy with big data
By analysing the metabolism using big data techniques, we can identify health risks at an earlier stage. Thomas Hankemeier, professor of Analytical Biosciences at the Leiden Academic Centre for Drug Research, explains how that works.
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Data Carpentry for Social Sciences
OSCL members, amongst which our representative in the Archaeology faculty, were part of Data Carpentry for Social Sciences. Here's what happened.
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Matthijs van Leeuwen: 'I want to teach students responsible data science'
Computer scientist Matthijs van Leeuwen is one of four science faculty members who obtained the Senior Qualification in Education in 2021. What was that like and what drives him? ‘In my own education I would have liked to see more attention paid to the responsibility that machine learning and data mining…
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Leiden bachelor students analyse data EC soccer
Leiden bachelor students analyse data EC soccer Students are now familiar with something sports journalists already knew: summer holidays can be a time of hard labour. Everybody else is lying on the beach, but for you, it is the busiest time of the year. Leiden bachelor students collected the data…
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Omics data integration with genome-scale modelling of dopaminergic neuronal metabolism
Parkinson's disease is the second most common neurodegenerative disease in the world. One of its symptoms is the loss of dopaminergic neurons in the substantia nigra pars compacta.
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Lone Actor Terrorist Attack Planning and Preparation: A Data‐Driven Analysis
This article provides an in‐depth assessment of lone actor terrorists’ attack planning and preparation.
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Personalized Predictions for Migraine and Stroke from E-Health Sensor Data
The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.
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Simon van LierdeFaculty of Science
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Barend MonsFaculty of Medicine
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Maarten KampertLURIS
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Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
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Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
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Yifan WangFaculty of Science
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Kiana ShahrasbiFaculty of Science
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Yee Man NgFaculty of Science
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Niki van SteinFaculty of Science
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Data Science Seminar for Fairness and Transparency
Data Science seminar at the Faculty of Governance and Global Affairs
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transient reductions in the speed of sound of the inflaton in cosmological data, and other topics
Promotor: Prof.dr. A. Achucarro
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Sifting through data the smart way
We produce more data than ever before, and researchers gather more and more information. That data contains a wealth of insights and new possibilities. But how do you extract them? In Leiden, statistics and information science come together in innovative multidisciplinary research. Read more in the…
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Data Science in Digital Health in Uganda
On 27 February, 2019, Kampala International University (KIU) was the venue of the conference ‘Digital Health and Development in Data Science in Uganda’. Professor Mirjam van Reisen from the Leiden Centre of Data Science was one of the main speakers.
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More effective data-driven policymaking
More collaboration, combining data and asking the right questions. These are a few of the recommendations that policymakers and researchers formulated at the conference 'Data gedreven Beleidsontwikkeling' on 28 November 2017.
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Mathilde VerdamFaculty of Social and Behavioural Sciences
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Big data on a small scale
Mirjam van Reisen favours big data built up from local inputs in developing countries and suitable for local use. The new Professor of Computing for Society at Leiden's Faculty of Science connects data science with development sociology. Inaugural lecture 10 March.
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tools for the exchange, analysis and communication of anonymised patient data
This project is a collaboration between Sanquin, LUMC and LIACS. It focuses on the development of meta-modelling methods and tools for the exchange, analysis, and publication of anonymised patient data. Measures are being constructed to evaluate both the level of privacy and the extent to which an anonymized…
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Joost van Ginkel
Faculty of Social and Behavioural Sciences
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Symposium with first cohort of Data Science PhD students
On Tuesday, January 30th, the first symposium of the Data Science Research Programme took place at the Sylvius Building.
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Data Science certificates awarded to employees of Ministry IenW
On Monday, June 24th, 24 employees of the Ministry of Infrastructure and Water Management (IenW) received their certificates for completing Data Science courses, offered by the Leiden Centre of Data Science.
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Statistics Netherlands (CBS) starts initiative for Big Data research
Today, CBS launches the Center for Big Data Statistics (CBDS), a cooperation of an unprecedented scale in the field of Big Data. Leiden University and HumanityX are key partners.
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Alan SearsFaculteit der Rechtsgeleerdheid
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Jenneke EversFaculteit der Rechtsgeleerdheid
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Data science helps in speed skating race for gold
Winning gold in speed skating at the Olympic Games is not just a matter of training hard; data science can also lend a hand. Jeroen van der Eb of the Leiden Institute of Advanced Computer Science (LIACS) developed the measuring skate for this purpose, with which he recently won the Nationale Sportinnovator…
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Cor Veenman (NFI) researcher Forensic Big Data Science at LIACS
On December 4th an agreement was signed between the Leiden Institute of Advanced Computer Science (LIACS) and the Netherlands Forensic Institute (NFI). Cor Veenman (NFI) will perform research in the field of Forensic Big Data Science at LIACS.
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Police ordered to destroy personal data of citizens
The Dutch police must stop storing personal data indefinitely. This was decided by the Council of State following several publications by investigative journalism platform ‘Follow the Money’ (FTM). Bart Schermer, Professor of Law and Digital Technology, assisted in the investigation.
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Bart Custers on CBC Radio on selling your own data
Companies like Facebook and Google make billions of dollars by selling or using our personal data. The data could be used by many different entities for many different reasons: from universities for research, to brands for creating targeted ads. But rather than just giving their data away to these companies…
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Joep SteegmansFaculteit der Rechtsgeleerdheid
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Anne Fleur van VeenstraFaculty of Governance and Global Affairs
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Master's students Data Science present solutions to central government and the House of Representatives
On 1 November 2019, international Master's students Data Science from Leiden University presented the elaboration of their data concepts to senior officials of the House of Representatives and Rijks I-Ecosysteem. With the presentation, they successfully completed this part of the Data Science master…
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learning algorithm for prediction and generation of High-Energy Physics data
Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.
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Inaugural lecture: International cooperation in the digital era
This inaugural lecture discusses the question: How to cooperate in the digital era?
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LIACS receives NWO grant in Challenging Big Data program
The Leiden Institute of Advanced Computer Science (LIACS) received a grant award from NWO for a joint proposal with Centrum Wiskunde & Informatica (CWI, Amsterdam), Tata Steel (IJmuiden), BMW (Munich), and database company MonetDB. Within the NWO Data Science program ‘challenging big data‘, LIACS is…
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detection and GIS for archaeological prospection in remotely-sensed data
The manual analysis of remotely-sensed data is a widespread practice in local and regional scale archaeological research, as well as heritage management.
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Akrati SaxenaFaculty of Science
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Data analysis is really helping the Dutch national women’s football team
The European Football Championship for Women, in the Netherlands this summer, is the background for a large and innovative data research project. The Dutch football union is working together with Leiden University and Sportinnovator. The research is expected to uncover links that have thus far remained…
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From scarcity to abundance: big data in archaeology
New digital methods and a data explosion are radically changing archaeological research. Karsten Lambers, Associate Professor of Archaeological Computer Science, tells us all about it.
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
M. Danhof, Co-promotor: O.E. Della Pasqua
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PhD Candidates in Data Science
The Centre for Digital Humanities is pleased to announce that we are searching for two PhD Candidates who will carry out research within the Centre for Digital Humanities and the Leiden Centre of Data Science.
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Skating faster thanks to data science
The Netherlands has a lot of world-class speed skaters and footballers. Clever statistical analyses could help them perform even better. Leiden University is working on this together with Delft and Amsterdam.
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Bart CustersFaculteit der Rechtsgeleerdheid