2,033 search results for “data or hard having” in the Public website
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and emotional competence in children and adolescents who are Deaf or Hard of Hearing (DHH)
How does having limited access to the social world affect Deaf or Hard of Hearing (DHH) children’s emotional development? And in turn, how do impairments in emotional functioning affect social development and the development of psychopathology?
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Josephine van der Have
Faculteit Rechtsgeleerdheid
j.c.van.der.have@law.leidenuniv.nl | +31 71 527 7840
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Teach children who are deaf or hard of hearing more about emotions and social conventions
Children with hearing loss often fail to pick up on nuances in other people’s emotional responses. As a result, they do not always understand what is going on. Yung-Ting Tsou, a PhD student at Leiden University, found that having more knowledge of emotions and social conventions can help them in their…
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Data-Driven Risk Assessment in Infrastructure Networks
Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'.
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‘For good measure’: data gaps in a big data world
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.
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Robust Estimation using Aggregated Data for Urban policy making (READ-URBAN)
Read-Urban was a first project to investigate whether policy recommendations can be made with the aid of linked data collections and data science and to gain experience with the success factors for such a process.
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Hard power and the European Convention on Human Rights
On 18 June 2019, Peter Kempees defended his thesis 'Hard power and the European Convention on Human Rights'. The doctoral research was supervised by Prof. R.A. Lawson and Prof. H. Duffy.
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
linting@fsw.leidenuniv.nl | +31 71 527 4098
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Publication Helena Ursic en Bart Custers about data reuse
Data reuse and big data: a taxonomy for personal data reuse.
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Inaugural lecture: Data of Value
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.
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DAMIOSO - data mining on high volume simulation output
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…
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Data
Data Sets Department of Economics
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Governance and Data Science Group
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…
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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
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SAPPAO - Optimizing the flight times of airplanes using data 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'.
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Exploratory Data Mining in Multimodal data
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…
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Data-Driven Drug Discovery Network (D4N)
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.
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Inaugural lecture: Data science and Ebola
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…
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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Enriching official economic statistics using data-driven modelling techniques
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'.
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FAIR data
Open Science means not only sharing final research results but also the underlying data. A main way to do that is by making research data FAIR: Findable, Accessible, Interoperable and Reusable.
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Data Management
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…
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Data science
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…
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Data Science
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.
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Data Science
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…
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Data exchange
What consequences does Brexit have for the protection of personal data?
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Data based decision making processes in secondary education
How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?
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Data Use
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.
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Uncontrollable: Data subject rights and the data- driven economy
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.
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Reusing data: Bridging the distance between data consumers and producers
Workshop
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Data protection and privacy
At Psychology Lab on Wheels, we take your privacy and the security of your personal data very seriously. We want to assure you that all the information collected during this study will be handled in accordance with the General Data Protection Regulation (GDPR).
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Privacy and data protection
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.
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Health Data Science
Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.
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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Data Driven Modeling & Optimization of Industrial Processes
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.
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Biometric data appointment
Before your student residence permit can be issued, you must have your biometric data recorded.
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Data Analytics and Management
Our group is part of the Metabolomics and Analytics Centre where we accompany the data from its acquisition all the way to the publication of identified associations and biomarkers for a range of human diseases. The generated data of the metabolic measurements are assessed using an in-house quality…
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Scientometrics Using Open Data
Research
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Data Mining and Sports
Collecting data in sports increased in importance the last few years.
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Sport Data Center
Sport Data Center
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Algorithmic tools for data-oriented law enforcement
Promotor: J.N. Kok, Co-promotor: W.A. Kosters
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Data Science Research Programme
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.
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Data Management Protocol
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…
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Applied Data Science Lab
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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Applied multivariate data analysis
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Statistics and Data Science
The group Statistical Science is responsible for research and teaching in statistics and data science.
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Statistics & Data Science (MSc)
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.
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Data Science & Artificial Intelligence
De minor Data Science & Artificial Intelligence geeft een toegankelijke introductie tot de theorie en praktijk van datawetenschap en kunstmatige intelligentie. Studenten leren de basis van data-analyse en patroonherkenning in grote gegevensverzamelingen, hoe computers leren en ook het interpreteren…