Lewend Mayiwar

Lewend Mayiwar

PhD Candidate (expected 2023)

BI Norwegian Business School

About me

Hi! I am a PhD candidate at the Department of Leadership & Organizational Behavior at BI Norwegian Business School. I am also affiliated with Trope Lab at New York University’s Department of Psychology (lab’s website: https://sites.google.com/nyu.edu/tropelab/about?authuser=0). My PhD project seeks to understand how emotions and psychological distance influence decisions involving risk and uncertainty. Methodologically, I primarily use experiments in order to uncover the causal nature of the relationships. I am a big fan of open and reproducible science. Together with a colleague and PhD candidate, we have set up an open science journal club at our department (ReproducibiliTea BI Oslo) that we are organizing together. The goal of our journal club is to raise awareness of open science and reproducibility (see “Projects” for more info).


  • Open science and reproducibility
  • Replications
  • Judgment and decision making
  • Emotions
  • Psychological distance


  • PhD in Organizational Behavior, present

    BI Norwegian Business School, Department of Leadership and Organizational Behavior

  • MSc in Leadership & Organizational Psychology, 2018

    BI Norwegian Business School, Norway

  • BSc in Business & Economics, 2016

    Mälardalen University, Sweden



ReproducibiliTea BI Oslo

An open science journal club

PhD Project

Emotions, psychological distance, and risk

Recent Publications

Quickly discover relevant content by filtering publications.

Fear from Afar, Not So Risky After All. Distancing Moderates the Relationship Between Fear and Risk Taking

A growing line of research has shown that individuals can regulate emotional biases in risky judgment and decision-making processes through cognitive reappraisal. In the present study, we focus on a specific tactic of reappraisal known as distancing. Drawing on appraisal theories of emotion and the emotion regulation literature, we examine how distancing moderates the relationship between fear and risk taking and anger and risk taking. In three pre-registered studies (Ntotal = 1,483), participants completed various risky judgment and decision-making tasks. Replicating previous results, Study 1 revealed a negative relationship between fear and risk taking and a positive relationship between anger and risk taking at low levels of distancing. Study 2 replicated the interaction between fear and distancing but found no interaction between anger and distancing. Interestingly, at high levels of distancing, we observed a reversal of the relationship between fear and risk taking in both Study 1 and 2. Study 3 manipulated emotion and distancing by asking participants to reflect on current fear-related and anger-related stressors from an immersed or distanced perspective. Study 3 found no main effect of emotion nor any evidence of a moderating role of distancing. However, exploratory analysis revealed a main effect of distancing on optimistic risk estimation, which was mediated by a reduction in self-reported fear. Overall, the findings suggest that distancing can help regulate the influence of incidental fear on risk taking and risk estimation. We discuss implications and suggestions for future research.

A Replication of Study 1 in "Differentiating Social and Personal Power" by Lammers, Stoker, and Stapel (2009)

We performed an independent, direct, and better powered (N = 295) replication of Study 1, an experiment (N = 113) by Lammers, Stoker, and Stapel (2009). Lammers and colleagues distinguished between social power (influence over others) and personal power (freedom from the influence of others), and found support for their predictions that the two forms of power produce opposite effects on stereotyping, but parallel effects on behavioral approach. Our results did not replicate the effects on behavioral approach, but partially replicated the effects on stereotyping. Compared to personal power, social power produced less stereotyping, but neither form of power differed significantly from the control condition, and effect sizes were considerably lower than the original estimates. Potential explanations are discussed.

Interested in open science and JDM research? Follow me on Twitter!