Dr. Emmeke Aarts

Associate Professor
Methodology and Statistics
Director of Education
Methodology and Statistics
+31 30 253 9140
e.aarts@uu.nl

Currently, I am the director of education for the Methodology and Statistics department. 

 

Coordination

  • Programme coordinator of the  research master Methodology and Statistics for the Social, Behavioural and Biomedical Sciences (2023 – 2024).
  • Coordinator of the UU wide Applied Data Science minor and the M&S part of the minor Applied Data Science for Economists (2018 – 2023).
  • Chair of the Programme Advisory Committee of the research master Methodology and Statistics for the Social, Behavioural and Biomedical Sciences (2019 – 2023).
  • Member of the Educational Committee of the research masters of the Faculty of Social and Behavioural Sciences (2019 – 2023).
  • Course coordinator: Introduction to multilevel modelling and psychometrics (2021 – current).
  • Course coordinator: Applied data analysis and visualization (2019 – 2023).
  • Course coordinator: Applied data science – Basis van onderzoeksmethoden en statistiek (2019).
  • Course coordinator: Multivariate statistics in practice for SHP (2016 – 2019).

 

Teaching

  • Introduction to multilevel modelling and psychometrics for MSBBSS (2021 – current).
  • Introduction in multilevel and structural equation modelling for MSBBSS (2016 – 2021).
  • Applied data analysis and visualization (2019 – 2023).
  • Applied data science – Basis van onderzoeksmethoden en statistiek (2019).
  • Multivariate statistics in practice for SHP (2016 – 2019).
  • Methods and Statistics 2: Structural equation modelling and multilevel (2016 – 2019).
  • Summerschool - Advanced course on using Mplus (2017 – 2019).
  • Summerschool - Introduction to structural equation modeling using Mplus (2017 – 2019).
  • UCU MET23 (2016 – 2018).

 

Supervision

PhD Co-promotor 

  • Pepijn Vink. Personalised depression dynamics in emerging adults. Daily supervisor and co-promotor (2024 – current ).
  • Mohammad Behbahani. Exploring Hidden Patterns in Relational Event History Data: an extension of Hidden Markov Model for the Relational Event Model. Co-daily
    supervisor and co-promotor (2022 – current).
  • Mehran Moazeni. Developing and applying machine learning algorithms to improve prediction in patients with heart failure. Daily supervisor and co-promotor (2020 - current).
  • Lieke Numan. Data-driven innovation of left ventricular assist device therapy. Co-daily supervisor and co-promotor (successfully defenced in 2023, started 2020).
  • Sebastian Mildiner Moraga. The multilevel explicit-duration hidden Markov model for real time behavioural data. Daily supervisor and co-promotor (2019 - current). 

     

Supervising research master, ADS master, and bachelor students

  • ADS master thesis Jasper Vogelzang. Multilevel Hidden Markov model for activity recognition (2021).
  • Various research master theses on topics concerning the hidden Markov model: Aleksandra Dacko (2023); Jasper Ginn (2019); Felix Clouth (2018).
  • Various bachelor thesis students from 2019 – 2021 on topics concerning the hidden Markov model: Martine Zanen, Suzanne Ekhart, Bart-Jan Boverhof, Jan-Willem Simons.

 

Statistical consultation & data analysis

  • Various funded statistical consultation appointments outside of UU, including Department of Neurology and Neurosurgery, University Medical Center Utrecht (2019), Department of Medical Psychology, AMC, Amsterdam (2016), TNO Life Sciences, Zeist (2016).
  • Statistical and methodological consulting regarding theses of students (bachelor and master) and dissertations of PhD students and for staff at the Faculty of Social and Behavioral Sciences. 

 

Involved in the following study programme(s)
Involved in the following course(s)