During the academic year, SOGI hosts open meetings to discuss lab news, share project updates, and provide an opportunity to collaborate on our projects. Our biweekly lab meetings are held Tuesday at 11am-12pm am in SEA 1.430 starting January 16th. Our lab is currently full, but if you would like to join the waitlist, learn more about the lab, or try and join in the Spring, please reach out to us at email@example.com.
These meetings are a great way to learn more about the work we do at SOGI and get involved. Meetings are open to students, faculty, staff, and invited guests — we would love for you to join us!
For other questions and accommodations, please contact us.
Assists Dr. Stephen T. Russell with ongoing studies of sexual orientation and gender identity (SOGI) and youth and adult health and wellbeing. Position involves implementation of study design; identification, management and analysis of relevant project data; preparation of written reports; and publications for lay audiences and academic articles. The project is led by Dr. Stephen Russell and based at the UT Population Research Center. Information about Dr. Russell and this and other ongoing projects is available at: http://sogi.cns.utexas.edu.
The SOGI: Health and Rights Lab receives a high volume of undergraduate research assistant requests and academic lab credit requests. Please be sure that you can attend the in person meeting times before emailing your inquiry. The SOGI Lab also prioritizes current research assistants who have experience in the lab as a volunteer prior to academic requests such as thesis/independent study advising and practicum courses.
Research assistants may volunteer or sign up for course credit; a limited number of positions may be available for pay. Research tasks will include data entry, basic data summary analysis and reporting, library research / literature searches and bibliographic database management, and some data analysis (depending on interests and experience). Ability to work both independently and as part of a team is essential. Previous experience including library searches, bibliography software, Microsoft Excel and Word, and statistical analysis software are desirable but not necessary. However, interested students at different experience levels are encouraged to apply – no prior experience is required. If you are interested, please send the following information by email to: UTHDFSFlawn@gmail.com. Please include: