Dr. Emmeke Aarts

Sjoerd Groenmangebouw
Padualaan 14
Kamer C116
3584 CH Utrecht

Dr. Emmeke Aarts

Universitair hoofddocent
Methoden en Statistiek
030 253 9140
e.aarts@uu.nl

Coordination

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

 

Teaching

  • Applied data analysis and visualization (2019 – current).
  • Introduction to multilevel modelling and psychometrics for MSBBSS (2021 – current).
  • Introduction in multilevel and structural equation modelling for MSBBSS (2016 – 2021).
  • 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

Co-promotor

  • Mehran Moazeni. Developing and applying machine learning algorithms to improve prediction in patients with heart failure. Daily supervisor and co-promotor (2020 - current).
  • Sebastian Mildiner Moraga. The multilevel explicit-duration hidden Markov model for real time behavioural data. Daily supervisor and co-promotor (2019 - current). 

Research master and ADS master students

  • Thesis Jasper Vogelzang. Multilevel Hidden Markov model for activity recognition (2021).
  • Thesis Jasper Ginn. Sample Size Considerations for Bayesian Multilevel Hidden Markov Models (2019).
  • Thesis Felix Clouth. Statistical power for hierarchical hidden Markov models (2018).
  • Tutor for the research master students of Methodology and Statistics for the Social, Behavioral and Biomedical Sciences (2016 – 2019).

Bachelor students

  • Various students from 2019 – 2021 on topics concerning the hidden Markov model: Martine Zanen, Suzanne Ekhart, Bart-Jan Boverdorf, 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.