Thank you for taking an interest in working with me and joining my lab. To make things clearer and easier before you contact me, please read the following carefully.
Thank you, but I am currently not looking for research assistants.
Post-docs, postgraduate and graduate students, and visiting students
I currently have no funding for post-docs, postgraduate, graduate students, or visiting students.
I am happy to consider all of those if you have your own external support, and if your research interests are close to mine and our research practices align (read below).
Undergraduate research internships
Who is this for?
The internship openings are for University of Hong Kong undergraduate students pursuing an internship or honors thesis in the year 2018-9.
What are the undergraduate research internships about?
People do not always act rationally. When making decisions, people employ ‘rules of thumb’ (heuristics) that sometimes lead to biases that may seem as irrational. As an example, the “action-effect” by Nobel prize winning Kahneman and Tversky (1982) describes a phenomenon in which people tend to regret negative outcomes more when they are a result of action (acting) compared to inaction (not acting) (more details in this publication about the action-effect) . This is an exciting and prolific area of research with many interesting findings highlighting the bounded rationality of the human mind with fairly strong and consistent effects.
In the last few years psychology has been facing new challenges with failed replications for classic findings (sometimes referred to as the “replication crisis”, see videos at the end of my “research” page) raising the need for both more replication work and meta-analytic summaries of the existing literature and data.
Internship will be focused on one of the following two:
- Conducting “Registered Replication Report” of classic experiments on heuristics and biases in judgment and decision making. We will focus on one specific bias and aim to replicate several classic experiments of that bias. The experiments will be conducted online using Amazon Mechanical Turk labor market using Qualtrics surveys.
- Conducting a pre-registered meta-analysis of the literature on a classic bias. In this project we will examine all the literature on a single classic bias and conduct a quantitative meta-analytic review and summary of the findings. We will review the literature and call other researchers to share their unpublished findings, and then proceed to run a statistical method to compute the combined effect-size of all findings. Since different papers will show different effect-sizes, we will also look for moderators to explain these differences (sample size, publication bias, etc. and other theoretically meaningful moderators).
In either one of these options, I will suggest two or three biases for you to choose from where I identified that a replication or a meta-analysis is needed and is straightforward and simple enough for you to conduct this as an undergraduate student.
All work will adhere to the principles of open-science, sharing all process, materials, data, code, and decision criteria. It is extremely important to me that you also believe in the importance of rigorous transparent and open science.
When you contact me:
- As a student working with me, you will be my collaborator. Please read what I expect of my collaborations, especially the last section about collaborations with students.
- Indicate your familiarity with open-science, replications, and pre-registration procedures (0 – none; 10 – expert).
- Rate your general familiarity with heuristics and biases (0 – none; 10 – expert).
- Add an open-science statement (one paragraph max) to help me see that we share the same mindset on this important topic.
- Briefly go over my publications list and check that you find my research and methods a good fit for you. When you contact me, please indicate (briefly) one or two examples of my research that you find compelling.
- Finally, indicate that you understand and accept to the goal of turning internship outputs to a high-quality top-tier journal article submission.
Examples for previous related work conducted under my supervision can be found on the “Working papers” section with examples on the exceptionality effect, omission bias, mere ownership effect, and the status quo bias.
Please understand that there are far more students approaching me than I can ever supervise, and so I might not be able to guide you. Fit is important, which is why when you contact me it is important that you do your homework about me, think about the implications of working with me, and then communicate to me clearly why you think we should work together.
My basic expectations of you
- An independent, open, and honest working and communication style.
- You are fluent in English.
- You support open-science.
- You are proficient in R, or with some familiarity with R and the willingness to become proficient fast (knowledge of RMarkdown a big plus).