Collaborate with the lab
Collaborate.
Researchers and students at any institution, and industry and community
partners, are welcome. Cross-institutional and remote collaboration are
normal. The lab works on questions, not on credentials.
Researchers
The lab collaborates as co-authors on studies of virtual environments,
streaming platforms, computational methods, and virtual meetings. Alex
Leith also joins research teams that need computational content analysis,
livestream and platform data, or VR and AI communication methods.
Industry and community partners
Research partnerships that produce published work, with data handled under
the partner's privacy requirements.
Students
Students at SIUE and elsewhere collaborate on lab research as co-authors.
Funded student positions, when grants allow, are for students enrolled in
SIUE's Department of Mass Communications; students at other institutions are
funded only through their own institution's part in a shared grant. The lab
does not offer remote employment.
Empirical work on existing data
The lab maintains restricted-access corpora on Twitch chat behavior, VRChat-
adjacent Twitter discourse, and pandemic remote-work tweets. A focused
research question on one of these is a common starting point. Many
projects produce a conference paper inside a single semester.
Methods & tool building
Active codebases in R, Python, and web stacks (SvelteKit, Next.js,
TypeScript). TASS, GearOut, the v2v R package, the Mass Comm Careers
Dashboard: all welcome contributors.
Conference co-authorship
ICA, NCA, DiGRA, Meaningful XR, AoIR, HICSS, CHI. Most students who collaborate
with the lab have at least one of these on their CV before they finish.
SIUE-specific (URCA, MA work)
For students at SIUE: undergraduate research through URCA across multiple
departments (Mass Comm, Applied Communication Studies, Psychology,
Integrative Studies), MA thesis chairing in Mass Comm, and committee work
across the consortium.
What the first conversation looks like
A workable question, honestly framed.
Bring a question, an interest, or a dataset. The first conversation is about
whether a project is workable and where the friction will be, not about
whether the idea is "good enough." Most workable projects don't start fully
formed. Most start with something specific you noticed.
aleith@siue.edu.
Short messages are fine. A sentence on who you are, a sentence on what
caught your interest, and a sentence on what you'd like to do is plenty.