1,376 search results for “data science onderzoeksprogramma” in the Public website
-
Aske Plaat
Science
-
Science in the Media
How can we bridge the gap between experts and the general public?
- OSCoffee: Building a data competence center for Population Health Management
-
Countering Lone Actor Terrorism: Data Collection & Analysis
This project aims to improve understanding of, and responses to, the phenomenon of lone actors through analysis of comprehensive data on cases from across Europe.
-
Harold Nefs
Faculteit der Sociale Wetenschappen
-
Sarah Plukaard
Faculteit der Sociale Wetenschappen
-
Ralph Rippe
Faculteit der Sociale Wetenschappen
-
Fatma Çapkurt
Faculteit Rechtsgeleerdheid
-
PathOS - Open Science Impact Pathways
PathOS aims to contribute to a better understanding and measurement of Open Science impacts and their causal mechanisms. This is pivotal in order to develop effective OS policy in the EU (European Union). It will do so by collecting concrete evidence of OS effects, by studying the pathways of OS practices,…
-
Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
-
Interaction with sound for participatory systems and data sonification
This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.
-
Accountability and data-driven urban climate governance
The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.
-
EU H2020 RISE Social Media Analytics
LIACS is a partner in RISE_SMA, an interdisciplinary, international network combining excellent scholars and practitioners to enable vigorous knowledge sharing and to develop solutions for contemporary challenges for Social Media Analytics (SMA).
-
A large-scale crop protection bioassay data set
ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.
-
Exploring big data approaches in the context of early stage clinical
Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.
-
Plant Sciences
The mission of the Plant Science research programme is to contribute to the sustainable production of high quality crops, flowers and high-value bio-based products. This is realised by generating fundamental knowledge of basic biological processes related to development of plants and their interaction…
-
Cheminformatics: Analyzing small-molecule activity data
While bioinformatics methods deal with the analysis of sequence information (be it proteins or DNA), the field of cheminformatics is concerned with the analysis of small-molecule datasets.
-
Data Atlas of Byzantine and Ottoman Material Culture
Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)
-
Data use, online consumer needs, business strategies and regulatory response
This project aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.
-
EU privacy and data protection law applied to AI
On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.
-
Data Carpentry for Social Sciences
OSCL members, amongst which our representative in the Archaeology faculty, were part of Data Carpentry for Social Sciences. Here's what happened.
-
Inaugural lecture: International cooperation in the digital era
This inaugural lecture discusses the question: How to cooperate in the digital era?
-
Jon Chase
Science
-
Tim Mainhard
Faculteit der Sociale Wetenschappen
-
Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
-
Microbial Sciences
In the research programme Microbial Sciences we perform state-of-the-art research in the field of biotechnology and microbial sciences.
-
Project SENSYN
Making sensitive data reusable through synthetic data generation
-
Seminar: 'Data Science meets Humanities'
Seminar 12th of April
-
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.
-
Accessing End-Of-Supply Risk of Spare Parts Using Big Data
How to access the end-of-supply risk of spare pares using big data analytics
-
Maarten Kampert
Faculteit der Sociale Wetenschappen
-
Making big data meaningful for a promising start
All children deserve a promising start. Most children are doing fine. But some need extra support, because of problems during pregnancy or because they grow up in disadvantaged circumstances, e.g. due to poverty, parental addictions or psychological problems.
-
Science
There are eight institutes at the Faculty of Mathematics and Natural Sciences:
-
Animal Sciences
We perform multidisciplinary research at molecular, cellular, and organismal levels of animal biology to increase fundamental understanding of health and disease.
-
Science
The Faculty of Science
-
Science
We are very happy to welcome you to spend a semester or year studying with us in the Faculty of Science. Here you will find information on your course schedules and course and exam enrolment.
-
Philosophical Foundations of the Historiography of Science
This NWO-funded research programme focuses on the assumptions and methodology of the writing of history of science. History of science is in many respects a flourishing discipline: it currently yields an impressive volume of studies. Systematic reflection about the ways in which history of science may…
-
Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
-
Holger Hoos
Science
-
Sjoerd Huisman
Faculteit der Sociale Wetenschappen
-
Sarah de Rijcke
Faculteit der Sociale Wetenschappen
-
Raymond Corbey
Faculteit Archeologie
-
Naomi Truan
Faculty of Humanities
-
Mardet van Gennip
Faculteit der Sociale Wetenschappen
-
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.
-
Open Science Monitor – Study on Open Science: monitoring trends and drivers
The aim of this study is to further develop the Open Science Monitor, which started as a pilot study.
-
Developing science teachers’ knowledge and beliefs
The objective of this project is to understand the content and structure of science teachers’ knowledge and beliefs, and how these change in the context of pre-service teacher education and educational innovation.
-
Science
After your graduation, Leiden University would love to stay in touch with you. Alumni are an important part of the university; with your experience we can improve the education, and you can be part of a valuable network full of knowledge and experience. Find out what options you have to stay in touch…
-
Inaugural lecture: Where science meets business
What is and should be the role of universities in supporting business? How can business benefit more of relationships with science? And what is the role of policy makers in supporting a productive relationship between science and business? Professor Simcha Jong Kon Chin examines the interactions between…
-
Data science course at (water management) Rijkswaterstaat
Nowadays data-driven working is very important within Rijkswaterstaat. A Variety of employees is involved in analyzing the data collected on daily basis by Rijkswaterstaat. The goal is to ensure that we construct an infrastructure in the Netherlands which will be safe, accessible and liveable in the…