Social Science Collaboratory
The Social Science Collaboratory is a research group at the University of Florida focused on advancing collaborative research methods in the social sciences. We are particularly interested in emotion & AI, methodological biases, and big team science.
Big team science
Many of the most exciting scientific accomplishments of the past few decades – such as mapping the human genome or capturing an image of a black hole – have required researchers to do something unusual: collaborate on a massive scale.
One strand of our work has focused on building up big team science. For example, we helped establish and support the:
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Psychological Science Accelerator: a decentralized community of ≈ 2500 researchers in 50+ countries who pool resources to complete large studies in psychology.
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Emotion Physiology and Experience Collaboration: an interdisciplinary group of researchers who seek to improve emotion theory and emotion AI by creating the largest-ever openly available dataset on emotion physiology.
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Virtual Experience Research Accelerator: an ongoing initiative to create a shared participant recruitment platform for researchers focused on augmented and virtual reality.
For big team science to be most useful, researchers need to critically reflect on the culture of science and its collaborative methods. Big team science challenges scientific conventions – e.g., about how to handle authorship and transparently document disagreements. While it can certainly lead to big discoveries, it can also carry big risk. We thus helped create the Big Team Science Conference to connect researchers interested in tackling these issues. This led to one of the first guides on emerging best practices in big team science.
Geographical distribution of participants recruited in a big team science initiative called the Many Smiles Collaboration (ref).
Affective science and AI
Emotion is a fundamental part of being human – without it, there would be no pain or pleasure, no suffering or bliss, and no tragedy or glory to the human condition.
One strand of our work seeks to understand (a) the cognitions and situations that evoke emotion, (b) the way the body responds to emotional contexts, and (c) how these factors give rise to peoples’ experience of emotion.
For example, we have worked on theories that suggest emotional experience is built off sensations emanating from the peripheral nervous system (e.g., changes in heart rate and muscle tension). We’ve found support for such ideas through:
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A meta-analysis of ≈ 50 years of research
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An adversarial collaboration involving researchers from 19 countries
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Six theory falsification attempts run across 29 countries.
Currently, we are working to establish the Emotion Physiology and Experience Collaboration, which seeks to improve emotion theory and AI by documenting how the peripheral nervous system behaves in different emotional contexts and cultures. We are also working on the Global Gratitude Project, which seeks to improve our conceptualization of gratitude, its potential psychological benefits, and its role in various societies.
Estimated meta-analytic distribution of the effects of posed facial expressions on emotional experience (recreated using data from ref)
Methodological biases
Scientific insights are only as good as the methods used by scientists. Much of our work is thus motivated by an interest in critically evaluating and improving these methods.
We are particularly interested in evaluating the extent to which peoples’ beliefs bias their responses in psychology research. For example, earlier research by our team suggested that posed facial expressions can impact peoples’ emotions (e.g., that smiling can make people feel happy). However, we wondered if such effects were merely driven by participants’ beliefs (e.g., placebo effects). Our results suggested they weren’t. Participants reported feeling happier after posing happy expressions and angrier after posing angry expressions – even when they (a) personally believed the effects were not real, or (b) were told we sought to disprove these effects. Nonetheless, beliefs reliably changed the intensity of these effects, raising broader concerns about how such beliefs might create biases in psychology research.
An in-progress meta-analysis of nearly 200 experimental tests suggests that the effects of participants’ beliefs can be just as powerful as the phenomena psychologists seek to understand in their research. More troublingly, participants’ beliefs tend to bias their responses in unpredictable ways that are currently difficult to explain. Thus, we are now working to better understand how these effects work via large cross-cultural experiments and studies.
Effects of posed expressions on emotional experience among people who believed, were unsure, or did not believe the effect was real (ref).
Join the team
Prospective PhD Students
We anticipate recruiting a Social Psychology PhD student to join the team Fall 2025.
Lab Manager
We are recruiting an advanced undergraduate or post-graduate student to serve as a paid part-time lab manager starting Spring 2024.
Undergraduate Research Assistants
We will be recruiting 1-2 volunteer undergraduate research assistants starting Spring 2024.