Do you code or analyse data for your research?
Come to Hacky Hour to swap notes, get help, or learn new techniques in programming and data science.
Hacky Hour is a regular meet-up where researchers can congregate to collaborate, and get research help in a social environment. Experts will be on hand to advise on problems related to coding, data analytics, or digital tools, with knowledgeable folk from SIH and other departments who can help you with your questions.
Come to a session!
How do you get involved? Just show up. If you have a laptop or tablet, bring it along so you can show what you’re working on. We have bioinformaticians, computer scientists, data scientists, data strategists, research computing and digital tool specialists, and other mentors on call to give you a hand with your problems. Check who’s rostered this session.
If you have a specific question you’d like to discuss, let us know before the session so we can find an appropriate mentor.
Hacky Hour moves around campus and visits our satellite campuses too. Next session details:
Time and Date:
3-4pm, Wednesday 24th July 2019
Get in touch with us at firstname.lastname@example.org if you would like to host a Hacky Hour at your research group!
People come to Hacky Hour for many reasons:
- Get advice on how to best collect and manage your data.
- Get hands on help to fix a frustrating bug.
- Have someone to show you the basics in R.
- Learn the best way to show some spatial data on a map.
- You recently attended an Intersect training course and want more help using tool ‘X’.
- Your honours student is pestering you to use version control and need help getting started.
- You need to get a huge dataset from a colleague overseas as quickly and easily as possible.
- You’d like a friendly environment to hack away at your data-crunching scripts, and maybe pick up a collaborator.
Even if you don’t have any problems you want solved, come along to:
- Network and chat with other like-minded researchers.
- Help solve someone else’s problem.
- Wrangle your data in the presence of others like-minded.
- Run your own special-interest data or analytical groups nearby and reach a wider audience.
- Help a colleague overcome their fears of using Git.
- Show off a really useful tool you just discovered.
If you’re interested in training in anything particular please let us know by filling out this survey.
Meet the mentors
Each Hacky Hour will be staffed by a variety of mentors and experts in different areas. Check below to see our pool of experts:
|Time and Date:||Location:|
|3-4pm, Wednesday 24th July 2019|
Darya Vanichkina – Data Science
Bioinformatics · Genomics & Transcriptomics · Machine learning · Health · Python · R; Founding Mother
Nathaniel Butterworth – Research Computing
Visualisation · Python · Artemis HPC · Argus Research Desktops · Astrophysics · Geophysics; Cloud; Matlab
Christopher Howden – Statistician
Statistical Methods · Statistical Design
Madhura Killedar – Data Science: Statistics
Bayesian modeling · Simulation · Machine learning· R · Python · Astrophysics · Cosmology
Kayla Maloney – Visualisation
Data visualisation & communication · Design · Geoscience
Taylor Syme – Data consulting
Digital research tools · eNotebooks · Data capture and surveys
Rosemarie Sadsad – Bioinformatics
Phylogenetics · long/short read DNA sequence analysis · Metagenomics · Pipelines · Modelling & Simulation · Bioinformatics & Genomics · Infectious Diseases · Health Systems
Tracy Chew – Bioinformatics
DNA/RNA sequence analysis · Association analysis · Animal genomics · Veterinary science
David Kohn – Data Science: Bayesian modeling
Bayesian modeling · Python · R · Matlab · Stata · SPSS · SQL · Machine learning · Web
Gordon McDonald – Data Science
Simulation · Machine learning · Bayesian statistics · Physics · Chemistry · R · Matlab
Srdjan Luzajic – Data Centre Networking
Core networking · Moving big data · Firewalls & DMZ
The Hacky Hour collaboration
Usyd Hacky Hour is brought to you by..