CV
Ian A. Davis
Philadelphia, PA / iandavis1937@gmail.com / iandavis1937.com /
Summary
Detail-oriented data storyteller & self-starter with a passion for advancing social equity via evidence-based solutions
Experience
Center for Social Norms and Behavioral Dynamics, University of Pennsylvania
Research Specialist Philadelphia, PA 01/2024 - Present
Writing and managing the R & Quarto codebase for seven research manuscripts investigating poverty trap mechanisms from a nationally representative survey of more than 6,000 Americans over two time periods
Providing policy-relevant insights about trust in institutions & social networks using Exploratory Factor Analysis and uncovering key determinants of perceived intergenerational mobility via machine learning (weighted LASSO)
Contributing to novel survey methodology research quantifying respondents’ uncertainty around future income
Stanford SPARQ and the Stanford Cohen Lab
Research Assistant Remote 02/2023 - 09/2023
Used R/RStudio, machine learning techniques (elastic net) and natural language processing to predict changes in over 2,000 participants’ attitudes toward federal welfare
Developed a Python/JavaScript text analytics algorithm that gives online survey participants real-time feedback on their communication style for better political discussions
Recruited 1,500 college students as online study participants via Qualtrics and an online survey panel
Intersectionality in the Social Mind Lab, Haverford College
Research Assistant Haverford, PA 10/2020 - 12/2022
Used R/RStudio, social network analysis, and text analysis to uncover gender-based diƦerences in more than 600 news articles covering police killings
Launched and taught data analysis workshops, mentored new lab members, and presented my work in manuscripts, posters, and presentations
Education
B.S., Psychology Major and Statistics Minor
Haverford College, Haverford, PA 08/2018 - 12/2022
Graduated cum laude—3.89 GPA
Senior Thesis: “Group Status Identity as a Predictor of Social Dominance Orientation in Children”
Organized a Psychology department peer mentorship program in collaboration with Psych. Dept. faculty
Highlighted Coursework
Geospatial Data Science in Python (UPenn Fall 2024), Applied Impact Evaluation (UPenn Fall 2024)
Skills
Areas of Expertise: Statistical Modeling, Regression Tehcniques, Machine Learning, NLP, Survey Design, & Spanish Software: R/RStudio, Python, PostgreSQL, Stata, Qualtrics, JavaScript, HTML, Ubuntu, Excel, & G Suite