CANCELLED: Using smartphone collected data: Experience Sampling Methodology and Intense Longitudinal data analysis  - The Graham Dunn Spring seminar 

The University of Manchester's Centre for Biostatistics

Thank you for registering for The Graham Dunn Seminar due on 18th March. Please be aware that unfortunately we have had to cancel the event due to increasing national travel restrictions and local instituational advice for the speakers to work from home, as well as concern for unessecary risk of exposure to the Coronavirus to our attendees. 
We will endeavour to rearrange for corresponding Autumn Graham Dunn Seminar scheduled for 28th October 2020. We will be in touch as soon as we have more information. 
In the meantime, we hope you all stay in good health.
 
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In honour of the late Professor Graham Dunn, The Centre for Biostatistics decided to rename their biannual  seminar series to honour his contribution. The second Graham Dunn Seminar will contain three talks focusing on the topic of Using smartphone collected data: Experience Sampling Methodology and Intense Longitudinal data analysis. 
We are pleased to confirm the three excellent speakers – Dr Niels van Berkel (Aalborg University, Denmark), Dr Yunxioa Chen (London School of Economics) and Dr Noémi Schuurman (Tilburg University, Netherlands) 
About the speakers:
Dr Niels van Berkel (Aalborg University, Denmark), 
Dr van Berkel is currently Assistant Professor at Aalborg University, Denmark where he is a member of the Human-Centred Computing group. His research interests include Human-Computer Interaction, Social Computing, and Ubiquitous Computing. Niels primary focus has been on self-report studies (e.g., Experience Sampling Method), with his recent PhD acquired whilst at The University of Melbourne focused on improving the quality and quantity of data  collected via technologically advanced mobile smartphone apps. Data may have been collected via either sensors embedded within the device, or through asking participants to respond and provide data on a regular basis. This second method is known and Experience Sampling. Niels thesis focused on improving the quality and reliability of these responses. 
Dr Yunxioa Chen (London School of Economics)
Dr Chen, before joining LSE was an assistant professor in the Department of Psychology and the Institute for Quantitative Theory and Methods at Emory University. He completed his Ph.D. in Statistics at Columbia University in 2016. Dr Chen's research focuses on the development of statistical and computational methods for solving problems in social and behavioural sciences, under three interrelated topics including (1) large-scale item response data analysis, (2) measurement and predictive modelling based on dynamic behavioural data and (3) sequential design of dynamic systems, with applications to educational assessment and learning. Dr Chen recent paper A latent process model for analysing intensive longitudinal data is an ideal basis for a talk on the methodological challenges in data collected from mobile smartphone apps.
Dr Noémi Schuurman (Tilburg University, Netherlands)
Dr Schuurman is currently an Assistant Professor at the Methods &amp; Statistics department of Tilburg University, at the faculty of Social Sciences. Her main research interests are idiographic modelling, dynamic modelling, multilevel modelling, Bayesian modelling, networks, scientific integrity, and philosophy of science. In addition to the several publications on methods used to analyse intensive longitudinal data, Noémi is also part of a team who run a week long workshop at Tilburg University on "Modelling the Dynamics of Intensive Longitudinal Data".

MANDEC

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