My Projects
A few ongoing or recently completed projects. See also Github @hauselin for more. If you find anything interesting, don't hesitate to reach out!
A few ongoing or recently completed projects. See also Github @hauselin for more. If you find anything interesting, don't hesitate to reach out!
See Google Scholar profile or key papers sorted by themes. Or search below—then click download button or copy URL .
Reduced misinformation sharing by up to 6.3% on Twitter and Facebook by delivering accuracy prompt ads to 33 million Facebook users and 75k Twitter users.
I (with Tawab Safi and Tom Costello) built Vegapunk, an app that enables human-AI (LLM) interaction experiments/studies with minimal JavaScript coding.
I developed a new method (reinforcement learning) to motivate people to perservere and take on challenges they would otherwise avoid. The method is based on the idea that people can learn to enjoy effortful tasks.
I applied drift diffusion and hierarchical Bayesian modeling (download code) to investigate the effects of mental effort exertion and how accuracy prompts reduce misinformation sharing.
Zivvy Epstein and I built Yourfeed, a platform to study social media consumption behavior. We used Svelte for the frontend and Flask for the backend.
I (with Oshin Vartanian) proposed a new framework for creativity that integrates decades of research on decision making and neuromodulation (specifically the locus ceruleus-norepinephrine system).
Mohsen Mosleh and I made an app to determine how much misinformation people are exposed to. I also created a database of news domain quality scores.
I discuss the mutual-internal-validity problem, how theory-driven experiments can ironically produce bad theories. I also explain why experimenters should think deeply about why they are running experiments.
I occasionally create data science tutorials. They are mostly for my forgetful future self, though you can also find many FAQs (e.g., data.table vs tidyverse's dplyr, interpret statistical interactions, reshape dataframes, MCMC).
An simple website that helps you convert between commonly used effect size metrics (e.g., Cohen's d, Pearson's r, odds ratio, AUC, Cohen's f)
I occasionally write on Medium (@ausius), a blogging platform founded by Evan Williams. It's a place with "little stories that make your day better and manifestos that change the world."