Subject: Seeking undergrad RAs interested in tech, HCI, social justice, and understanding data
The Stanford Screenomics Lab is seeking multiple entry-level undergraduate HCI research assistants interested in technology use, digital big data, and equity!
Task and Background: Digital trace data collected from smartphones can tell us a lot about the attitudes, behaviors, and well-being of people over time. This project aims to use digital trace data from participants’ smartphones to understand encounters with information in relation to economic class and market forces. We are looking for research assistants to analyze mobile phone screenshots to understand the information demand and supply factors that shape the technology-related behaviors of Americans across income classes. You will walk in the shoes of others and contribute to cutting-edge research! You will receive human-subjects research certification and experience in data privacy. This work is also an entry into media psychology, media economics, and HCI.
Requirements: Students from all majors and all years (freshman to senior) are welcome to apply. Social science students and students with ethnographic experience are especially encouraged. You must have a computer and a place to use it where nobody else can view your screen. Quick email responsiveness is key.
Pay: $18/hour, federal work-study eligible
Logistics: Spring Quarter, with possible extensions. You must be able to commit ten hours per week through spring quarter, remotely. There are weekly meetings (virtual) but otherwise the hourly schedule is completely flexible and independent, with weekly targets.
Application: Please email your resume/CV, an unofficial transcript, and a 2-3 sentence description of why you are interested in this project to jihyelee@stanford.edu, subject line Tagging Applicant. Applicants should be prepared to complete a quick pre-screening test that mimics the real task, as part of the interview process. Applications are reviewed on a rolling basis, with the first responses sent on Wednesday, April 6, 2022 – so please submit your application as soon as possible. Later applications will be reviewed.
The Stanford Screenomics Lab is seeking multiple entry-level undergraduate HCI research assistants interested in technology use, digital big data, and equity!
Task and Background: Digital trace data collected from smartphones can tell us a lot about the attitudes, behaviors, and well-being of people over time. This project aims to use digital trace data from participants’ smartphones to understand encounters with information in relation to economic class and market forces. We are looking for research assistants to analyze mobile phone screenshots to understand the information demand and supply factors that shape the technology-related behaviors of Americans across income classes. You will walk in the shoes of others and contribute to cutting-edge research! You will receive human-subjects research certification and experience in data privacy. This work is also an entry into media psychology, media economics, and HCI.
Requirements: Students from all majors and all years (freshman to senior) are welcome to apply. Social science students and students with ethnographic experience are especially encouraged. You must have a computer and a place to use it where nobody else can view your screen. Quick email responsiveness is key.
Pay: $18/hour, federal work-study eligible
Logistics: Spring Quarter, with possible extensions. You must be able to commit ten hours per week through spring quarter, remotely. There are weekly meetings (virtual) but otherwise the hourly schedule is completely flexible and independent, with weekly targets.
Application: Please email your resume/CV, an unofficial transcript, and a 2-3 sentence description of why you are interested in this project to jihyelee@stanford.edu, subject line Tagging Applicant. Applicants should be prepared to complete a quick pre-screening test that mimics the real task, as part of the interview process. Applications are reviewed on a rolling basis, with the first responses sent on Wednesday, April 6, 2022 – so please submit your application as soon as possible. Later applications will be reviewed.