2,215 search results for “literature and data” in the Public website
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A Social History of Painting Inscriptions in the Ming Dynasty (1368- 1644)
Wenxin Wang defended her thesis on 26 October 2016
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Algorithms and data behind Leiden Ranking in public domain
The Leiden Ranking – Open Edition is completely transparent. The ranking compiled by the CWTS uses open data and publishes the algorithms that are used.
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Intelligent Data Analysis Symposium
Conference
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Excavating Fossilized Data
A cross-cut analysis of the ties between university research and fossil industries.
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learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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Leiden University protects your data
At Leiden University we like to stay in touch with our alumni. We therefore invite you by post, email or phone to lectures, workshops and masterclasses for alumni and inform you about developments in your field and at the University. With your knowledge and experience, you also make a valuable contribution…
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‚Flüchtlingskrise‘ in Kunst und Literatur // Taking Positions on the ‘Refugee Crisis’: Critical Responses in Art and Literature
The recent rise in global migration movements and the simultaneous attempts to prevent migrations to the Global North in general and Europe in particular have produced numerous images and narratives that try to record and convey these events and their actors.
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Bioinformatics Data analytics Computational Biology
LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.
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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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Illness and Literature in the Low Countries. From the Middle Ages until the 21th Century
From as early as classical antiquity there has been an interplay between literature and medicine.
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Data Governance for Equitable and Sustainable Digital Food Systems (DIGIFOOD)
DIGIFOOD is a transnational research project that investigates how data governance can support equitable and sustainable digital food systems. Around the world, digital technologies are transforming agriculture. Sensors in soil, satellites in space, and mobile phones in farmers’ hands are generating…
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Dorine SchellensFaculty of Humanities
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Strengthening Integrity in Science and Data: CWTS and EDI Announce Strategic Partnership
The Centre for Science and Technology Studies (CWTS) and the Ethical Data Initiative (EDI) are pleased to announce the signing of a Memorandum of Understanding (MoU) aimed at fostering a collaborative partnership to advance responsible data initiatives and enhance communication within the realms of…
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Pieter KroonenbergFaculty of Social and Behavioural Sciences
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'Vulnerability and Data Protection' book by Gianclaudio Malgieri presented at Naples University
On 3 April 2024, the University L'Orientale in Naples will hold a full afternoon conference to discuss a book written by Dr Gianclaudio Malgieri, Associate Professor at eLaw. The title is 'Vulnerability and Data Protection Law', published with Oxford University Press in April 2023.
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Multilevel governance and responses to the COVID-19 pandemic: a systematic literature review
In this article, the authors summarise the literature on the effects of multilevel governance on governments’ policy responses to Covid-19.
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Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
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CEEDs, the Collective Experience of Empathic Data Systems
The Collective Experience of Empathic Data Systems (CEEDs) consortium developed novel integrated technologies that support experiencing, analysing and understanding of very large datasets.
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Gepco de JongFaculty of Humanities
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Geert Onno PrinsFaculty of Humanities
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The Power of Knowledge Ethical, Legal and Technological Aspects of Data Mining and Group Profiling in Epidemiology
With the rise of information and communication technologies, large amounts of data are being generated and stored in databases. In order to get a better grip on these large amounts of data, serious efforts are being made to discover patterns and relations in the data with the help of new techniques.…
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Lost in Chemical Space, Found in Data
Developing new medicines is one of modern science's most significant hurdles, a process marked by high costs, long timelines, and frequent failures of promising candidates.
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Leiden: Silicon Valley of FAIR data
If researchers make their data FAIR, computers can link large quantities of data and identify patterns, thus greatly accelerating the process of arriving at new insights. In Leiden, the birthplace of ‘FAIR data’, Professor Barend Mons explains the meaning of this term.
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Health Data Science special interest group
Health Data Science Leiden University
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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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Peter GrünwaldFaculty of Science
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Career College: Working in Data Science
Career and apply for jobs
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Missing data procedures in multivariate analysis
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Statistical modelling of time-varying covariates for survival data
This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.
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Using data to improve sports performances
‘Tell me something I don’t know,’ said skating coach Jac Orie to Leiden data scientist Arno Knobbe. And he did. Knobbe and his colleagues now assist athletes in all kinds of ways with the help of data mining.
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Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making?
Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration…
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Experience Day Data Science & Artificial Intelligence
Study information
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Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
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Converting cultural heritage into usable data
How can we make the information in handwritten historical research reports accessible and searchable? Data scientists at Leiden University are working with other universities on a method that will improve access to cultural heritage.
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Reading Russian literature, 1980-2024. Literary Consumption, Memory and Identity
This month, the volume Reading Russian Literature, 1980-2024, edited by Otto Boele and Dorine Schellens, was published at Palgrave Macmillan.
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bibliometric review of COVID-19 research in the crisis and disaster literature
In the wake of the COVID-19 pandemic, the pressing question is how this global health emergency impacted the research agendas of the field of crisis and disaster science. This article reviewed contributions in ten important crisis and disaster journals in the two and a half years following the COVID-19…
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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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Céline ZaepffelFaculty of Humanities
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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.…
- MSc Data Statistics & Data Science Graduation Ceremony
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Mathijs DeenFaculty of Social and Behavioural Sciences
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Jelle GoemanFaculty of Medicine
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Marta FioccoFaculty of Science
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Literature Overview on Evidence-Based Methods for Academic Development of Senior Teaching Faculty Members
What development pathways support teaching faculty members in research-intensive universities in becoming informal educational leaders?
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Data Breaches and Effective Crisis Communication: A Comparative Analysis of Corporate Reputational Crises
Online data breaches are recurrent and damaging cyber incidents fors organizations worldwide. This study examines how organizations can effectively mitigate reputational damages in the aftermath of data breaches by hacking, through situational crisis communication strategies.
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Data Science for State-of-the-Art Blood Banking (BloodStart)
There are around 300,000 people in the Netherlands who donate blood on a regular basis. Women can give blood up to three times a year and men up to five times, resulting in approximately one million blood donations each year. Patients that receive this donated blood are already in a vulnerable condition,…
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Nanodata – Data providing services in support of research and policy in the field of nanosciences and nanotechnologies
This project, commissioned by DG Research and Innovation, aims to provide information for policies that lead to the creation and improvement of the conditions which will allow researchers and European industries to safely master the properties of nanomaterials and to innovate with nanotechnology.
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Paula Esteves dos Santos JordaoFaculty of Humanities
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Monitoring drug-related homicides: An assessment of existing data sources and potential for future monitoring
This project’s aim is to critically assess current homicide data sources in order to develop a proposal for long-term EU-level monitoring of DRH.
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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.