817 search results for “hybrid data” in the Public website
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Li-Ru HsuFaculty of Law
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Joost van Ginkel
Social & Behavioural Sciences
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Maria-Lucia RebreanFaculty of Law
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Maarten KampertLuris
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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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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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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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Yee Man NgFaculty of Science
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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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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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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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Niki van SteinFaculty of Science
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Making policy with big data
Governments have increasing amounts of data at their disposal. How can big data be used in policymaking? And are governments ready to deal with all this data? That is what Sarah Giest, Assistant Professor at the Institute of Public Administration, is interested in.
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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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Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
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Mathilde VerdamSocial & Behavioural Sciences
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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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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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Somayeh DjafariFaculty of Law
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Coarsened Data in Theory and Practice: Challenges, Considerations and Opportunities
PhD defence
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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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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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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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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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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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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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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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Sports and data analytics: discovering the unknown known
The combination of data science and sports is a hot topic. In a talk during the opening of the Academic Year at the Faculty of Science, Professor Joost Kok explained what data analytics can teach us about sports.
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Anne Fleur van VeenstraFaculty of Governance and Global Affairs
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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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Akrati SaxenaFaculty of Science
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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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EuDEco
EuDEco (Modelling the European Data Economy) is a Coordination & Support Action (CSA) receiving funding from the European Union’s Horizon 2020 programme.
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Helena Ursic presented at the Big Data conference in Ljubljana, Slovenia
On May 22 eLaw's researcher Helena Ursic spoke at the international conference
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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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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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EuDEco report on the analysis of framework conditions (D1.2)
D1.2 reports on the findings of an analysis of framework conditions relevant in the context of the data economy from a legal, a socio-economic and a technological perspective. The analysis is a key foundation for the creation of an initial, heuristic model of the European data economy. The deliverable…
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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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eLaw workshop at the Big Data Value Forum in Versailles
On November 22nd 2017 eLaw co-organized with partners of the e-SIDES project a workshop on the ethical, legal and socio-economic implications of big data.
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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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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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Bart CustersFaculty of Law
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EuDEco Report on the legal analysis (D2.2)
D2.2 comprises the in-depth legal analysis of the initial heuristic model, focused on addressing, in more detail, the main legal concerns for data reusers in the European data economy. This detailed analysis of the legal propositions presented in D2.1 is supplemented by an analysis of the technological,…
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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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Guilherme D'Andrea CurraFaculty of Archaeology
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Zihao YuanFaculty of Science