Event_
Sydney Hacky Hour
For researchers who code or analyse data
Come to Sydney Hacky Hour to swap notes, get help, or learn new techniques in programming and data science.
Hacky Hour is a regular meetup where all researchers – students, staff and university affiliates – gather in a social environment to collaborate and get research support.
Experts and mentors from Sydney Informatics Hub and across the University will be available to advise and answer questions on coding, data analytics or digital tools.
| Next session | 3–4pm, 17 June Third Wednesday of every month |
| Location | Join virtually via Zoom: https://uni-sydney.zoom.us/j/597499126 |
| What to bring | If you have a laptop or tablet, bring it along so you can show what you’re working on. |
What happens at Hacky Hour?
At our Sydney Hacky Hour sessions you can gain:
- advice on how to best collect and manage your data
- practical help on fixing a frustrating bug
- an understanding of the basics of R
- an understanding of spatial data on a map
- help using tool 'X' after attending an Intersect training course
- assistance in using version control
- advice on how to access a large dataset from overseas quickly and easily
Even if you don't have a data problem to solve, come along to network with like-minded researchers, find a collaborator or hack away at your scripts in a friendly environment.
If you have a particular topic you'd like us to cover, please fill out our survey.
Meet the mentors
Each Hacky Hour will be staffed by experts from a variety of backgrounds.
Darya Vanichkina
Bioinformatics, genomics and transcriptomics, machine learning, health, Python, R, Founding Mother
Nathaniel Butterworth
Visualisation, Python, Artemis HPC, Argus Research Desktops, astrophysics, geophysics, cloud, Matlab
Christopher Howden
Statistical methods, statistical designs
Kayla Maloney
Data visualisation and communication, design, geoscience
Taylor Syme
Digital research tools, eNotebooks, data capture and surveys
Rosemarie Sadsad
Phylogenetics, long/short read DNA sequence analysis, metagenomics, pipelines, modelling and simulation, bioinformatics and genomics, infectious diseases, health systems
Tracy Chew
DNA/RNA sequence analysis, single cell RNA-seq, association analysis, animal genomics, veterinary science
Gordon McDonald
Simulation, machine learning, Bayesian statistics, physics, chemistry, R, Matlab
