TESC Symposium 2025

  • 27Feb2025
  • S8 Pavillion
  • 14:00-17:00h
  • Tilburg University
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Thursday February 27th 14:00-17:00h, the TESC Symposium, edition 2025, takes place. We are happy to invite you to this event. At this symposium TESC members will present their project(plan) and we welcome Marieke Helmich and Marieke Schreuder as the Keynote speakers.

Please find below the titles of the confirmed presentations:

  • Adolescents’ Emotion Regulation of Positive and Negative Emotions and Affect in Daily Life: Moderation of Peer Affiliation – Anke Vischer (DP)
  • The effects of daily strengths use on affective well-being among university students: a daily diary study – Nadica Atanasova (HRS)
  • Self-esteem and social interactions in daily life: An experience sampling study – Manon Enting (Tranzo)
  • Visual attention and aesthetic art perception – A real-world wearable eye-tracking study – Gijs Holleman (CNP)
  • Emotional Intelligence in Daily Social Interactions Sophia Sun (IDA)

 

Our keynote speakers Marieke Helmich (Oslo University) and Marieke Schreuder (DP, Tilburg University & KU Leuven) will give a presentation entitled “Personalized prediction of clinical change through early warning signals: expectations, reality, and ways forward”. Below you can read the abstract.

In the past decade, many psychology researchers have been drawn to dynamical systems theory, and particularly, to the idea that so-called early warning signals (EWS) may forecast major changes in people’s mental health. EWS indicate instability of a system, and have been shown to anticipate abrupt transitions in many different fields, ranging from ecology to the social sciences. In clinical psychology, EWS were introduced as person-specific indicators of risk and resilience that may be detectable in long-term experience sampling (ESM) data. The TRANS-ID (Transitions in Depression) project was designed to empirically evaluate whether EWS detected in ESM data could indeed aid the early detection of transitions in mental health. To this end, we collected long-term ESM data over periods of 4-6 months in various populations. In this presentation, we will summarize and reflect upon the findings from this project. We will additionally suggest several ways forward for predicting clinical change using ESM.

 

For us to get an overview of all attendees, we would appreciate your registration. So we can facilitate enough drinks for you all.

We hope to see you the 27th in S8 Pavillion!

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