Meetings Amsterdam Leadership Lab

About every two weeks we will have our Leadership Lab meetings. Guests are welcome, both to present ideas and to simply attend and listen. If you want to learn more or would like to attend, please contact Wendy de Waal-Andrews (

Here are our most recent and upcoming meetings:


16.12.2019 MF-D134 at 12:00: Reinout de Vries (VU Amsterdam)
Title: The personality of popular and likeable adolesents
Getting along (i.e., to be liked) and getting ahead (i.e., to be popular) are two fundamental psychological motives that have important consequences for adolescents’ standing in the group and well-being. Especially antisocial behaviors, which are less well covered by the Big Five model than by the HEXACO model, have been shown to differentially predict likeability and popularity. To explore the possible differential relations between personality on the one hand and likeability and popularity on the other, I’ll present relations using the HEXACO Simplified Personality Inventory (HEXACO-SPI) and sociometric measures of likeability and popularity among 552 (12- to 14-year-old) adolescents. The results show that agreeableness is the most important predictor of likeability, whereas extraversion (positive), openness to experience, honesty-humility, and agreeableness (all three negative) are the most important predictors of popularity. Facet-level analyses reveal that selected HEXACO facets (greed avoidance, fearfulness, social boldness, gentleness, prudence, perfectionism, aesthetic appreciation, and altruism ) most strongly—and in opposite directions—differentiate in the prediction of likeability and popularity. The results, which are discussed in light of socioanalytic, hierarchical differentiation, resource control strategies, interpersonal circumplex, and adolescent adjustment frameworks, suggest that—among early adolescents—differential personality predictors may make it difficult to both get along and get ahead.

06.01.2020 MF-D134 at 12:00: Killian Wawoe (VU Amsterdam)
Title: New directions in performance management

20.01.2020 MF-D134 at 12:00: Arnold Bakker (Erasmus University Rotterdam)
Title: Fast and slow leadership

03.02.2020 at 12:00: Bertold Meyer (University of Chemnitz)
Title: Psychological well-being of leaders and their subordinates: Insights for promoting employee health from two large field studies

30.03.2020 at 12:00: Daniel Lakens (Eindhoven University of Technology)
Title: Leading the way to a better psychological science
Problematic research practices, such as publication bias where only positive results are published, have been pointed out in the scientific literature for over half a century. Recently, large scale replication projects have suggested that not all published scientific research is as reliable as we want it to be. Psychological science has been at the forefront of improving research practices, due to a traditionally strong expertise in statistics, combined with an interest in how people change behavior and respond to reward structures. In this presentation I will talk about some of the problematic research practices that have limited knowledge generation in the past, how to recognize them, their consequences for the reliability of research findings, and ongoing efforts towards better research practices that have been developed in the last eight years. I will summarize some easy to implement improvements in designing and analysing experimental studies.

06.04.2020 at 12:00: Bastian Jaeger (Tilburg University)
Title: The face of leadership

20.04.2020 at 12:00: Sebastiano Massaro (Surrey Business School)
Title: t.b.c.


02.12.2019 MF-D134 at 12:00: Jacqueline Brassey (VU, McKinsey)
Title: Advancing authentic confidence

18.11.2019 MF-D134 at 13:00: Ard Barends (VU Amsterdam)
Title: Leadership App

14.10.2019 MF-D134 at 12:00: Antonis Koutsoumpis (VU Amsterdam)
Title: Automatic personality assessment from video interviews
The advance of sophisticated artificial intelligent methods offers new possibilities for personality assessment, giving rise to a new line of research aiming to assess personality using machine learning techniques. After a brief overview of the automatic personality assessment literature, two studies – aimed to collect video data from personality interviews – will be described. The video data will be decomposed into three modalities: verbal (the words people used), para-verbal (voice characteristics; e.g., pitch, intensity, speech rate), and non-verbal features (facial expressions), each of which has been previously associated to some extent with personality traits. Machine learning techniques will be applied to explore how these modalities – independently and in combination – are related to self-reported personality traits using the HEXACO personality model. The final goal of the two studies is to develop an algorithm (software) that will automatically assess personality from video interviews, and test whether it constitutes a valid and accurate assessment instrument.

23.09.2019 MF-D134 at 12:00: Gijs Schumacher (UvA: Political Science)
Title: Why do politicians go emotional?
Politicians make emotional appeals to voters all the time. But the intensity of these appeals, and their direction (positive or negative) varies dramatically. We know that these appeals can be persuasive, but we now much less about when politicians use them. In this talk I will summarize perspective from political science, sociology and psychology that provide different perspective on the question when politicians use stronger or weak, negative or positive emotional appeals. A preliminary test of some arguments is presented by an analysis of voice pitch variation of Dutch MPs in a committee setting.