3,066 search results for “data science” in the Public website
-
A digital eye for archaeologists
Wouter Verschoof-van der Vaart is refining an artificial intelligence system that can detect and classify archaeological objects on digital images. Such a system is desperately needed because human archaeologists around the world are being flooded with data.
-
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.
-
EXALT: Excavating Archaeological Literature
We will use Artificial Intelligence to make an intelligent, multilingual search engine for archaeological texts, which will enable new discoveries about the human past.
-
‘Using real-world data to enhance our healthcare system’
On 16 May 2022, Professor Michel Wouters from the Department of Biomedical Data Sciences at the Leiden University Medical Centre (LUMC), will deliver his inaugural lecture titled ‘Quality of Cancer Care: why the real world matters’. Wouters will use the opportunity to describe how quality registries…
-
Chinese whispers in the name of science at Lowlands
As long as we humans have existed, we have told each other stories. But how does a story change each time it is told? Which elements stick and which ones are forgotten? This is what Max van Duijn and Tessa Verhoef will research in their Lowlands Whispers experiment at Lowlands Festival.
-
Anne Land-Zandstra
Science
-
Assessments of Past Science
Is it possible to formulate a new conceptual foundation for attributing an evaluative role to historiography of science, without relinquishing the historiographic sensitivity of recent work in the discipline?
-
When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
-
PhD candidate in Network Science
Science, Leiden Institute of Advanced Computer Science (LIACS)
-
Measuring science communication impact
What tools can be applied to measure the output, outcome and impact of science communication efficiently and effectively?
-
Harold Nefs
Faculteit der Sociale Wetenschappen
-
Ralph Rippe
Faculteit der Sociale Wetenschappen
-
Sarah Plukaard
Faculteit der Sociale Wetenschappen
-
Fatma Çapkurt
Faculteit Rechtsgeleerdheid
-
Jaap van den Herik
Faculteit Rechtsgeleerdheid
-
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.
-
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.
-
Citizen science
Citizen science is an umbrella term. It describes a range of ways to involve citizens and societal actors such as NGOs in collaborative knowledge production: crowdsourcing research questions, collective data gathering and analysis (to name a few examples).
-
Science in the Media
How can we bridge the gap between experts and the general public?
-
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.
-
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.
-
A large-scale crop protection bioassay data set
ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.
-
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,…
-
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.
-
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.
-
Searching for the wanted and unwanted effects of innovation
How does ICT affect society? Mirjam van Reisen, professor Computing for Society at the Leiden Centre of Data Science, is intrigued by this question. We speak with her about innovation, changes in health care, and mobile human trafficking. ‘Innovation has many benefits, but it can also be very disrup…
-
TOP grant for four of Leiden’s top scientists
Four scientists will receive the TOP grant for Physical Sciences from the NWO (Netherlands Organisation for Scientific Research). They are astronomer Ignas Snellen, mathematicians Tim van Erven and Charlene Kalle and computer scientist Siegfried Nijssen. The funds will be used to finance temporary research…
-
Data Atlas of Byzantine and Ottoman Material Culture
Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)
-
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…
-
Tuesday Talks: Science Insights | 3 September 2024
Lecture, Tuesday Talks: Science Insights
-
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.
-
Open Science
At Leiden University, we see open Science as the way to make a greater scientific and societal impact. There is also great momentum across the Netherlands for open science, and for good reason.
-
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
-
Jon Chase
Science
-
Michelle Willebrands
Science
-
Tim Mainhard
Faculteit der Sociale Wetenschappen
-
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.
-
Spinoza project Statistical Science
Developing and investigating statistical methods for complex data and models
-
Microbial Sciences
In the research programme Microbial Sciences we perform state-of-the-art research in the field of biotechnology and microbial sciences.
-
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:
-
Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
-
Young Star Maite Boden broadens her horizon
At the beginning of 2020, Maite Boden became the first student ever to receive the Young Star award. She received the award for her contribution to research into the notorious ghost particle: the neutrino. With her master's degree in the pocket as well, she is now looking for a job in data analysis.…
-
Animal Sciences
We perform multidisciplinary research at molecular, cellular, and organismal levels of animal biology to increase fundamental understanding of health and disease.
-
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.
-
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.
-
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…
-
Harmen van der Veer
Faculteit der Sociale Wetenschappen
-
Integrating data to learn more
Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.