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…

EuDEco (Modelling the European Data Economy) is a Coordination & Support Action (CSA) receiving funding from the European Union’s Horizon 2020 programme.

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…

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.

The Common Market Law Review is designed to function as a medium for the understanding and analysis of European Union Law, and for the dissemination of legal thinking on all matters of the European Union Law.

In 'White Lies and Black Markets. Evading Metropolitan Authority in Colonial Suriname, 1650-1800' dr. Karwan Fatah-Black offers a new account of the colonization of Suriname in the period between 1650-1800.

How should jurisdictions, both on the national and on the supra-national level, handle the interaction between public and private law where it regards the regulation of financial markets?

A comparative study on the spatial origin and development of towns in the northern Netherlands, 700-1400.

By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.

Data Sets Department of Economics

Data reuse and big data: a taxonomy for personal data reuse.

Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…

This thesis analyses the existence and the functioning of the urban labour market in the early Roman empire by looking at the crucial influence of social structures, such as the family and non-familial labour collectives.

The Hazelhoff Centre for Financial Law research programme for 2020-2023 centres around the integrity of financial markets during times of crisis and possible regulation to secure it.

Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)

Provides a cutting-edge comparative political economy analysis of welfare and inequality across ten East Asian countries.

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

The master’s programme Statistics & Data Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme has two specialisations: Data Science and Statistical Science.

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

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…

The Digital Archaeology chairgroup is currently still involved in a project related to EDNA project (national data archive for archaeology). Although this time the focus on innovative research in Computer applications is much stronger. All the archaeological projects in the e-archive are documented…

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

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…

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

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.

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

What consequences does Brexit have for the protection of personal data?

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.

This year, LUCIS adapted the programme of its popular annual Middle Eastern Culture Market into an evening version, featuring a lecture, book discussion, and music.

This year, LUCIS adapted the programme of its popular annual Middle Eastern Culture Market into an evening version, featuring a lecture, book discussion, and music.

The project 'Data use, online consumer needs, business strategies and regulatory response' aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?

Promotores: J.C. van Houwelingen, S.A. van de Geer

When to launch a next-generation product in a competitive market and how much capacity should be allocated to it

On Thursday 11 May 2017, Qiang Yu defended his doctoral thesis ‘Market Power and Competition Law in the Software Industry’. The supervisors of the research are Professor T.R. Ottervanger and Professor S.C.G. Van den Bogaert. A brief summary of his thesis is provided below.

Published on 26 February 2021.

On 7 February 2019, Helena Ursic-Vrabec defended her thesis 'Uncontrollable: Data subject rights and the data- driven economy'. The doctoral research was supervised by Prof. dr. S. van der Hof.

As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

Before your residence permit can be issued, the Dutch immigration department (IND) needs to record your biometric data. Schedule your biometric data appointment as early as possible.

The Data Management Protocol is an elaboration of the Leiden University Data Management Regulations for research that takes place within the Leiden Institute of History. It is intended for researchers who are starting a research project and / or researchers who are going to submit a proposal to external…

The Data Science Research Programme aims to advance the state of the art in Data Science research and to accelerate the use of Data Science methods at all faculties of Leiden University.

Sport Data Center

Science

Although science and education have top priority, exploratory projects with companies, governments and NGOs generate ample opportunities in terms of societal challenges, science strategy, valorisation and research collaboration. In the LIACS Applied Data Science Lab, our master's students and graduates…

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Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

Promotor: J.N. Kok, Co-promotor: W.A. Kosters