2,092 search results for “data or hard having” in the Public website
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Data science and visualisation by the government
On 20 February 2019, a special meeting on data science took place in the House of Representatives. The aim of the meeting was to start a dialogue with government organisations about data developments within the government.
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The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…
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The self-employed hard hit by coronavirus crisis
Self-employed workers’ hours have significantly decreased during the coronavirus crisis. Their average hours worked decreased most at the start of the crisis, by more than five hours per week. And it was difficult to return to their pre-crisis hours in the quarters that followed. This is the conclusion…
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ultimate leadership challenge: making critical decisions without enough data
The coronacrisis is emerging as the ultimate test for political leaders. How do national political leaders get ahead or behind ‘the curve’ of fast-changing dynamics. Martin Lodge (London School of Economics and Political Science) and Arjen Boin (Leiden University Institute of Political Science) look…
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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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Big data in archaeology: harnessing the hidden knowledge in the “graveyard” of Malta reports
The goal is to establish an intuitive search and querying service that allows researchers to quickly retrieve the most valuable digital resources, in order to allow them to integrate and synthesise the results into a coherent narrative of the past. The current focus of the project is to implement…
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Data science and sports: a winning combination
Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.
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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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Joost van den Berg
Faculty of Humanities
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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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Leiden University launches Data Science research programme
Leiden University is investing 4 million euros in a new Data Science research programme. This is a joint initiative of all the faculties, headed by Dean Geert de Snoo at the Faculty of Science. The programme will focus on Leiden scientific data.
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Unexpected data are good for business
Data play an important role in any organization. More and more data are available about products, about production processes and about customers. At the annual LIACS Business Event on Wednesday 18 January, the central message was how to find irregularities in Big Data, and how it can help you to track…
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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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EuDEco case study report (D1.3)
D1.3 describes a set of five case studies relevant in the context of the EuDEco project. Case studies are considered relevant if they are initiatives focusing on the promotion of big data and data reuse or pilots facilitating data reuse in one form or the other. The case studies were expected to allow…
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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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Growing super legs for the Tour de France with the aid of Leiden data science
Only the fittest cyclists stand a chance of taking yellow in the brutal Tour de France. Team Jumbo-Visma is working with data scientists from Leiden. They have analysed the stages and performance of Jumbo-Visma’s riders in previous Grand Tours. And they are researching how to determine the fitness level…
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Hard work pays off: a festive graduation of the LLP
Early July was the graduation ceremony of the Leiden Leadership Programme,: a moment to reflect and celebrate the outcomes of eight months’ hard work. Leiden’s Marekerk was filled with colourful music and some wise pieces of advice: ‘Find the path that suits you best.’
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Sharing personal health data
Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.
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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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Cycling like a Jumbo-Visma pro with the Leiden data model
Just like the professional riders from the Jumbo-Visma team, amateur cyclists will soon be able to analyse and improve their performance. Leiden data scientists working with the cycling team are making their smart data model available so that every serious cyclist can keep track of their fitness.
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reconstruction of the codex Añute palimpsest using hyperspectral imaging data
A technique originally developed for satellite imaging can now be used to recover pictographic texts from underneath the surface of a five hundred year old Mexican manuscript.
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Decoding supplier codes of conduct with content and text as data approaches
The growing popularity of corporate self-regulation to address supply-chain issues puts Corporate Social Responsibility and specifically codes of conduct, at the centre of attention. In this article, Jaroslaw Kantorowicz, Sarah Vandenbroucke and Yvonne Erkens analyse supplier codes of conduct of multinational…
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Big data cannot do without statistics
Data science and statistics are closely linked, says Spinoza laureate and Stochastics professor Aad van der Vaart. We talk with him about the big data hype, genome research and collaboration with other disciplines. ‘Statistics helps wherever data is not perfect.’
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If you have data, why not use it?
Sociaaleconomisch Beleid: Empirische Analyse is a new course for those students on the Bachelor’s programme in Public Administration who are following the specialisation in Economics, Administration and Management.
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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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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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INFORM Day on EU Data Protection Law
On Friday November 2nd 2018, eLaw, the Center for Law and Digital Technologies at Leiden University, will host a one-day conference on the new EU Data Protection Law that came into force earlier this year.
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Building a bridge between data science and the social and behavioural sciences
What is the best living environment for dementia patients? To answer this question, Daniela Gawehns is using data mining methods to search through different types of data source. Her research is inadvertently building a bridge between two disciplines that are sometimes somewhat wary of each other.
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Bart Custers on notification obligation data leaks
The Dutch Data Protection Authority (DPA) has announced that 27,000 data leaks were reported in 2019, a huge increase compared to previous years. Bart Custers, Professor of Law & Data Science at eLaw ¬- Center for Law and Digital Technologies, claims in Dutch newspaper Trouw (22 February 2020) that…
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Claartje Levelt: ' Students sometimes ask questions I have to think hard about'
Claartje Levelt is professor of First Language Acquisition. She researches how babies and toddlers learn their mother tongue. Besides her work, she enjoys being involved with music.
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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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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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Bart Custers
Faculteit Rechtsgeleerdheid
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Risks of big data not clearly identified in GDPR
The General Data Protection Regulation (GDPR) came into force in 2018. It was intended to protect the rights and freedoms of individual citizens from the risks of personal data processing. Meanwhile, the phenomenon known as big data has continued to advance at a fast pace. PhD defence on 12 Septembe…
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‘Behaviour comes to us in big data’
Jurist Gineke Wiggers wants to predict the expected impact of legal articles. Carel Stolker, Rector of the University and, like Wiggers, a legal specialist, is enthusiastic about the research. ‘A big data project like this will help us establish the effect of our work on society.’
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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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A treasure trove of legal data
Data science offers great opportunities for legal research, according to Simone van der Hof and Bart Custers (eLaw). But at the same time, we have to keep an eye on the unwanted side effects of big data - such as ethnic profiling.
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‘The really hard part is thinking up a wrong answer.’
The topics of discussion included multiple choices questions, research on teaching, workload and many other things. On 29 October four new enthusiastic fellows were installed in the Leiden Teachers’ Academy and presented their research innovation projects.
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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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Frank Takes on NPO Radio 1 about big data
Frank Takes, Assistant Professor at the Leiden Institute of Advanced Computer Science (LIACS), analyses the flow of funds in our economy using big data. With Jort Kelder, he discussed the value and importance of these data on NPO Radio 1.
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Mirko Forastiere
Science
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Mark Roelofsen
Faculty Governance and Global Affairs
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‘Data science has crept into the faculties’ DNA’
From 14 to 29 PhD candidates, seven actively involved faculties and, above all, lots of innovative interdisciplinary research, all with data science as the common denominator. The university’s Data Science Research Programme (DSO) has proven so successful that after five years on a start-up grant it…
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Dimiter Toshkov wins World Data Visualization Prize
The World Data Visualization Prize for 2019 was awarded to Dimiter Toshkov, Associate Professor at the Institute of Public Administration, for his work on the theme of small states and good governance. The prize is a good way to raise awareness about the value of good data visualization.
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More powerful data centre will accelerate research
Language evolution, targeted drugs or archaeological interpretation. Researchers are making increasing use of supercomputers that can rapidly process large quantities of data. This is one reason why the University data centre will be extended and updated. ‘Datamining means we can get a better picture…
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Do you have a hard time with uncertainty? This may influence how you perceive the world
Always taking the same route to work, going for that one dish in restaurants and going on the same holiday each summer: this may ring a bell for those who don’t like uncertainty. Researchers are now discovering that this aversion affects how we understand the world.
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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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Sport Data Center appointed as Certified Partner of Sportinnovator
The Sport Data Center, a consortium of universities of which Leiden University is leader, is recognised as a Certified Partner of Sportinnovator. This makes the Sport Data Center an important part of the Sportinnovator ecosystem. Sportinnovator is the national programme for sports innovation, initiated…
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CIMPLO – Maintenance prediction for industries
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.