About me

R. Gordon Rinderknecht

I am a postdoctoral researcher at the Max Planck Institute for Demographic Research in the Laboratory of Digital and Computational Demography with interests in group processes, inequality, and interpersonal relationships. I finished my PhD in Sociology at the University of Maryland in 2020.

Research

My research primarily focuses on the experience of social isolation and loneliness in daily life. I am also highly interested in the opportunities and challenges associated with online data collection.

My current projects (1) examine the situational experience of social isolation and loneliness; (2) examine changes in social engagement since the 1960’s via harmonized time-diary data; (3) include developing and implementing new methods for collecting experiential and time-diary data; (4) identify the opportunities and challenges associated with using crowdsourcing platforms (i.e. MTurk, Prolific) for academic research; and I am (5) currently conducting data collection for a longitudinal study of COVID-19’s effects on daily life and wellbeing.

Publications

R. Gordon Rinderknecht, Long Doan, and Liana Sayer. “Loneliness Loves Company, Some More Than Others: Tie Strength, Form of Engagement, and Their Relation to Loneliness.”

Forthcoming at Social Problems

Jessica Fish, John Salerno, Natasha Williams, R. Gordon Rinderknecht, Kelsey Drotning, Liana Sayer, and Long Doan “Sexual Minority Disparities in Health and Wellbeing as a Consequence of the COVID-19 Pandemic Differ by Sexual Identity.”

Forthcoming at LGBT Health

R. Gordon Rinderknecht. 2019. “Effects of Participant Displeasure on the Social-Psychological Study of Power on Amazon’s Mechanical Turk.” SAGE Open 9: 1-13. doi: 10.1177/2158244019876268

Marek Posard and R. Gordon Rinderknecht. 2015. “Do People Work Better with Computers than Humans in Groups?” Computers in Human Behavior 51: 219-240. doi: 10.1016/j.chb.2015.04.057

Software Development

My programming background began in my undergraduate career, where I completed courses on the principles of programming, object-oriented software development, and data visualization. I now focus on aspects of programming that are the most relevant to my research. This includes large-scale data processing and the creation of platforms for experimental and time-use research. My primary focus is the development of mytimeuse.com, an online platform for collecting experiential and time-diary data. I developed the front-end using JavaScript (w/ Angular 4 and Bootstrap 4) and the backend CRUD API using Python (w/ Flask-RESTful and SQLAlchemy).

Last Updated: 3/12/2021