What we do
Need help now? Want to talk? Go post in our Gitter: resbaz/Arizona
Everyone is welcome
We support an ample community of researchers from diverse areas and levels of expertise. Whether you are just starting to learn programming or you are already an expert, we have a place for you!
Collaboration
Meeting and working with experts from different fields can bring a new and fresh perspective to your own work! Even more, re-inforce your skill and help train a new generation of developers by teaching others.
Community Building
Meet new people in and outside of your field. Join our supportive network of data scientists and find out what we can do when we work together.
Events
Stay up to date on announcements at our Twitter: @ResBazAZ
(Optionally) RSVP for our events at Meetup: Our MeetUp
Coffee and Code
Where: Catalyst Cafe at BSRL 1230 N Cherry Ave
When: 8.30AM - 10.30AM, every Wednesday
What: Whether you’re debugging code or need ideas for how to introduce programming into your research, Coffee and Code is a great place to receive help and share knowledge! No specific problem? No worries – join us at Coffee and Code to chit chat with other researchers in the morning. Coffee and Code is the best way to start your Wednesday!
A few people you’re likely to see:
Hacky Hour
Where: Snakes & Lattes 988 E University Blvd
When: 4PM - 7PM, every Thursday
What: Hacking + Happy Hour = HackyHour! Every week, researchers, data scientists, and programmers around campus get together. Some people bring their programming problems to get help from those with more experience. Those without projects come to discuss their research, brainstorm new ideas, try out new technologies, or chit chat about data science!
A few people you’re likely to see:
ResBaz Festival
Where: Arizona
When: Annually, for a few days in the spring (Apr/May)
What: Learn, Network, Teach, Help, and Discuss are just a few of the availble things to do at ResBaz. Use the festival to add organizing events or presenting technical workshops to your resume, or simply attend and pick up a new data science trick, the choice is all yours!
A few people you’re likely to see:
