2,103 search results for “data science” in the Public website
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From Data to ACTive lifestyle in Wheelchair users (D-ACT-Wheel)
Making the Virtuagym e-platform suitable for wheelchair users with a spinal cord injury or lower limb amputation.
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Computer Science (MSc)
The two-year master’s programme in Computer Science at Leiden University offers seven specialisations ranging from AI to Bioinformatics and Data Science. The programme combines excellent theoretical teaching with possibilities for applied work with industrial relevance.
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Dedicated image data handling
This page is under construction.
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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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EU Personal Data Protection in Policy and Practice
Although the General Data Protection Regulation (GDPR) harmonizes the protection of personal data across the EU as of May 2018, its open norms in combination with cultural differences between countries result in differences in the practical implementation, interpretation and enforcement of personal…
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Tools and Data
Software and Data of the department Industrial Ecology
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Applying data mining in telecommunications
This thesis applies data mining in commercial settings in the telecommunications industry.
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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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Lectures at Science
From black holes to artificial intelligence and from drug research to data science: welcome to the fascinating world of the Faculty of Science. Our researchers, students and guests regularly give public lectures about their work. You are welcome to attend.
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Social and Behavioural Sciences
The Faculty of Social and Behavioural Sciences brings together high-quality research and outstanding teaching in the disciplines of cultural anthropology, education and child studies, political science, psychology, science and technology studies, as well as in multidisciplinary approaches.
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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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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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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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Computer Science at Leiden University
Leiden Institute of Advanced Computer Science (LIACS)
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
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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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Can we measure the privacy component of online advertising?
On 29 January 2019, Robbert J. van Eijk will defend his Ph.D thesis, in which he investigates the online advertisements that seem to follow you.
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Data mining and algorithm development
Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…
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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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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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Leiden Institute of Advanced Computer Science
Digital technology is changing academia and society at lightning speed. LIACS is in the midst of this with groundbreaking research into data processing and artificial intelligence (AI). It conducts a unique combination of fundamental and applied research into major issues facing academia and society…
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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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Missing data procedures in multivariate analysis
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Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
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Oliver Tuazon
Faculteit Rechtsgeleerdheid
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Bibliometric Data Sources and Indicators (online)
Research
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Data Centres for Natural Recources and Products
Creating information portals for support of European environmental policy.
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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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Generating fake news automatically as a research project
By spreading fake news via TV spots and Twitter with the use of Social Bots, Pascal professor Heike Trautmann is investigating the characteristics of fake news. She is calling on Leiden researchers to cooperate in the project.
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Resampling Methodology for Longitudinal Data Analysis
How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.
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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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Leiden University Center for Statistical Science
The Leiden University Center for Statistical Science unites the statisticians teaching and researching at Leiden University.
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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.…
- Social and Behavioural Sciences
- Science (Wis- en Natuurwetenschappen)
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VODAN Africa – FAIR Covid-19 Data across Africa and Asia
VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…
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Student for a day Data science & Artificial Intelligence
Study information
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Software and data for circular economy assessment
This thesis investigates how the assessment of circular economy (CE) at the macro-economic level can be facilitated and promoted.
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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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Student for a day Data science & Artificial Intelligence
Study information
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Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Essays on wealth, health, and data collection
On 21 November 2018, Lieke Kools defended her thesis 'Essays on wealth, health, and data collection'. The doctoral research was supervised by Prof. dr. K.P. Goudswaard en Prof. dr. C.L.J. Caminada.
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Zhengshan Jiao
Faculty of Humanities
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Ana Parrón Cabañero
Faculteit der Sociale Wetenschappen
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European Citizen Science (ECS)
The overall objective of ECS is to widen and strengthen the European Citizen Science community through capacity building and awareness raising activities such as the creation of a European Citizen Science Academy and the establishment of a network of 28 ECS Ambassadors.
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Tools and Data
Tools and Data of the department of Environmental Biology
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Open Science
On this page you find all the ways through which the Institute of Psychology aims to foster Open Science.
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Working with datasets that are larger than the entire university
Radio telescope LOFAR maps the sky. It produces incredibly detailed images of the universe - and vast amounts of data. Huub Röttgering, director of the Leiden Observatory, talks about the challenges of working with those enormous datasets.
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New paradigm for visual recognition
Leiden University computer scientists Yu Liu, Yanming Guo and Michael Lew are a step closer to their ultimate goal: search engines with visual recognition. Their publication of a new algorithm for fusing multi-scale deep learning representations has been received with great enthusiasm. No other algorithm…