Sydney Informatics Hub are hosting their own Hacky Hour!
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.
Hacky Hour moves around campus and visits our satellite campuses too. Next session details:
Time and Date:
3-4pm, Thursday 15th March 2018
WIMR L2 Conference room C2.20 and C2.22, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead
Get in touch with us at email@example.com 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
- 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 who’ll be around at the next session:
|Next session:||Thursday March 15, Westmead|
Nathaniel Butterworth – Research Computing
Visualisation · Python · Artemis HPC · Argus Research Desktops · Astrophysics · Geophysics
Rosemarie Sadsad – Bioinformatics
Phylogenetics · long/short read DNA and RNA sequence analysis · GWAS · Metagenomics · Pipelines · Modelling & Simulation · Bioinformatics & Genomics · Infectious Diseases · Health Systems
Hayim Dar – Research Computing
Modelling & Simulation · MATLAB · Artemis HPC · GPU computing · Computational neuroscience · Physics
Tracy Chew – Bioinformatics
DNA/RNA sequence analysis · Association analysis · Animal genomics · Veterinary science
Nicholas Ho – Data Science
Machine learning · Transcriptomics · R · Bioinformatics · Health
Gordon McDonald – Data Science
Simulation · Machine learning · Bayesian statistics · Physics · Chemistry · R · Matlab
Daniele Vicari – Data management
Digital research tools · eNotebooks · Data capture and surveys · Biochemistry
Gene Melzack – Digital Curation
Organising data & structuring data · File formats · Data documentation & dictionaries · Digital preservation & archiving · Computational science
Sonya Corcoran – Coding / Digital Innovation
Creative coding · Data visualisation · Design thinking · Psychology · Educational Design · UX · Web development
Peter Thiem – Data Science Engineering
Aldo Saavedra – Senior Research Scientist
Statistical Methods · Machine Learning · eHealth · Data Science · Physics
Christopher Howden – Statitician
Statistical Methods · Statistical Design
|Upcoming sessions:||Thursday 19th April, Camperdown location TBD!|
Kayla Maloney – Visualisation
Data visualisation & communication · Design · Geoscience
Madhura Killedar – Data Science: Statistics
Bayesian modeling · Simulation · Machine learning· R · Python · Astrophysics · Cosmology
Helena Lynn – Data Management
Digital research tools · eNotebooks · Data capture and surveys · Molecular virology · Microscopy
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