2,058 search results for “data science” in the Public website
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Jacq Meulman
Science
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Rob Tijdeman
Science
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Data science course at (water management) Rijkswaterstaat
Nowadays data-driven working is very important within Rijkswaterstaat. A Variety of employees is involved in analyzing the data collected on daily basis by Rijkswaterstaat. The goal is to ensure that we construct an infrastructure in the Netherlands which will be safe, accessible and liveable in the…
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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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Data Science Seminar for Fairness and Transparency
Data Science seminar at the Faculty of Governance and Global Affairs
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Translational data science: applications in health care
How can you tie together scientific research and practical applications? That is exactly what Professor of Translational Data Science Marco Spruit is concerned with, he tells FMT Gezondheid. 'It's about taking socially relevant questions as a starting point for your research.'
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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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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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How can we connect data science and law?
At the Hague University of Applied Sciences, a stakeholder meeting took place on 4 April in the context of peace and justice in a digital world. The meeting was an initiative of Leiden University (LCDS, eLaw) and the Hague University of Applied Sciences, to explore joint curriculum development in the…
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Exploring new methods at Research Lab Legal Data Science
How can data analytics be used as a research method in the field of legal research? This question was addressed during the Research Lab Legal Data Science on 23 September, 2016.
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Data science can reduce likelihood of virus outbreaks
Data science is of vital importance in preventing future outbreaks of viruses, Professor of Data Science Aske Plaat argues. Inaugural lecture entitled ‘Data Science and Ebola’ on 13 April.
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Data-Driven Drug Discovery Network (D4N)
The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.
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Julian Karch
Faculteit der Sociale Wetenschappen
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Wouter Verschoof-van der Vaart
Faculteit Archeologie
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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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Start of second group in data science for policy course at Ministry of IenW
On Wednesday, 5 September 2018, the second group of employees of the Ministry of Infrastructure and Water Management (IenW) started the managerial track of the Data Science course given by Leiden University (LCDS).
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Statistical Science
The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.
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Frank Takes
Science
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Barend Mons
Faculteit Geneeskunde
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Antoine Coudard
Science
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Suzanne Marselis
Science
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Sport Data Center
Sport Data Center
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Cor Veenman
Science
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Project SENSYN
Making sensitive data reusable through synthetic data generation
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Akrati Saxena
Science
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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
Science
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‘For good measure’: data gaps in a big data world
Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.
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Leiden researchers at hackathon data visualization in the House of Representatives
On March 20, 2019, a special meeting took place in the House of Representatives: a hackathon. The aim was to find solutions for better accessibility of the large amounts of information that are produced in the House of Representatives on a daily basis.
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Sport Data Center
Sport Data Center
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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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Wessel Kraaij appointed Professor of Applied Data Analytics
Wessel Kraaij has been appointed Professor of Applied Data Analytics with effect from 1 March 2016. Kraaij will use new methods to analyse big data sets. He intends to use data from various data-intensive research fields to test these methods in practice.
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FAIR data
Open Science means not only sharing final research results but also the underlying data. A main way to do that is by making research data FAIR: Findable, Accessible, Interoperable and Reusable.
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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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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 insight
Social science research helps us understand human behaviour and social structures. These are determined by various factors, which makes the research complex and increases the likelihood of drawing the wrong conclusions. The choice of research method and analysis is therefore extremely important. It…
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FAIR Principles herald more open, transparent, and reusable scientific data
Today, March 15 2016, the FAIR Guiding Principles for scientific data management and stewardship were formally published in the Nature Publishing Group journal Scientific Data.
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Data Management
LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
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Integrating Analytics with Relational Databases
The database research community has made tremendous strides in developing powerful database engines that allow for efficient analytical query processing.
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Publication Helena Ursic en Bart Custers about data reuse
Data reuse and big data: a taxonomy for personal data reuse.
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Data
Data Sets Department of Economics
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Elise Dusseldorp
Faculteit der Sociale Wetenschappen
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Jan van Rijn
Science
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Joost Visser
Science
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Aske Plaat
Science
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Exploratory Data Mining in Multimodal data
The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…
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'Biologists also need to be a bit of a data analyst’
Biologists today have to be able to work with big data. Data analysis skills should be taught from the start of the degree programme, or - even better - in secondary school. This is the message of Vera van Noort, new Professor of Computational Biology. Inaugural lecture 22 January.
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United Nations Fellowship awarded to Statistics PhD Kevin Duisters
United Nations Global Pulse, an initiative of the UN Secretary-General on big data and AI, recently launched the Data Fellows program. Kevin Duisters, PhD in Statistics at the Mathematical Institute, was selected to take part in its first cohort of eight international students.