This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of data sets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields…

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.

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.

Promotor: P.D. Grünwald

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.

Promotores: W.T. de Groot, M. Tchuenté, Co-promotor: J.P. Cheylan

Tools and Data of the department of Environmental Biology

In astronomy, the interpration of observations and measurements plays a crucial role: we rely purely and fundamentally on the information that reaches us as observers. And 80% of all matter in the universe is undetectable directly.

This thesis focuses on addressing four research problems in designing embedded streaming systems.

PURPOSE: In the present study we investigated the root-cause of an interference signal (100-200 nm) of sugar-containing solutions in dynamic light scattering (DLS) and nanoparticle tracking analysis (NTA) and its consequences for the analysis of particles in biopharmaceutical drug products.

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.

The current study focuses on Walpole’s social network and the language as contained in the letters of the network members.

Analysis of drug adversity

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What are the flows of C&DW (e.g. bricks, concrete, gypsum and wood) in the case study countries ? How to define the specification for each material to be quantified? What indicators should be used to identify the pattern of each C&DW management system? How to interpret the MFA results in relation…

The purpose of this study was to investigate the formation and growth kinetics of complexes between proteins and oppositely charged polyelectrolytes.

Data theory research on the analysis on the multidimensional data

There are around 300,000 people in the Netherlands who donate blood on a regular basis. Women can give blood up to three times a year and men up to five times, resulting in approximately one million blood donations each year. Patients that receive this donated blood are already in a vulnerable condition,…

Description of Triple bottom line approach for risk-benefit analysis of genetically modified crops.

Co-ordination Action for Innovation in Life-Cycle Analysis for Sustainability: deepening, broadening and leaping forward the LCA methodology.

Promotor: P.J.J. Hooykaas, Co-Promotores: P.B.F. Ouwerkerk, M. Wang

Fokelien Kootstra defended her thesis on 23 April 2019

LIACS is a partner in the EU Erasmus+ Curriculum Development for the Asian education system. The knowledge available in the field of Data Science and Artificial Intelligence education will be shared and adapted for the Asian market.

With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.

Lecture

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.

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.

Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.

ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.

Homicide engenders broad moral concerns in society, and its aftermath can be understood as a barometer for criminal justice policy. Of all homicides committed, however, only some lead to arrest, to prosecution and ultimately to conviction in court.

Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)

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.

Study information

This article assesses Russian rhetoric toward Ukraine from 2004 to 2019 by analyzing statements by the Russian Ministry of Foreign Affairs.

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.

From 14 to 29 PhD candidates, seven actively involved faculties and, above all, lots of innovative interdisciplinary research, all with data science as the common denominator. The university’s Data Science Research Programme (DSO) has proven so successful that after five years on a start-up grant it…

The manual analysis of remotely-sensed data is a widespread practice in local and regional scale archaeological research, as well as heritage management.