Sydney Hacky Hour

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.

Hacky Hour has been successfully replicated at other universities such as UTS, Melbourne, Griffith Univeristy and The University of British Columbia.

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 23rd May 2018

Location:

School of Physics at the Sydney Nanoscience Hub SNH Learning Studio 4003, Camperdown


Get in touch with us at sih.info@sydney.edu.au 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.

We will be running some mini-workshops in things like Jupyter Notebooks, ParaView, MATLAB, visualisation, and docker in the weeks to come. Stay tuned for more details.

If you’re interested in training in anything particular please let us know by filling out this survey.

BMC Hacky Hour

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: Wednesday May 23rd, Sydney Nanoscience Hub (Camperdown)


Rosemarie Sadsad Rosemarie Sadsad – Bioinformatics

Phylogenetics · long/short read DNA sequence analysis · Metagenomics · Pipelines · Modelling & Simulation · Bioinformatics & Genomics · Infectious Diseases · Health Systems


Nathaniel Butterworth Nathaniel Butterworth – Research Computing

Visualisation · Python · Artemis HPC · Argus Research Desktops · Astrophysics · Geophysics


Tracy Chew Tracy Chew – Bioinformatics

DNA/RNA sequence analysis · Association analysis · Animal genomics · Veterinary science


Nicholas Ho Nicholas Ho – Data Science

Machine learning · Transcriptomics · R · Bioinformatics · Health


Paula Sanz-Leon Paula Sanz-Leon – Neuroinformatics / Computational Modelling

Brain dynamics · Complex systems · Artemis HPC · Python · Matlab · git


Madhura Killedar Madhura Killedar – Data Science: Statistics

Bayesian modeling · Simulation · Machine learning· R · Python · Astrophysics · Cosmology


Kayla Maloney Kayla Maloney – Visualisation

Data visualisation & communication · Design · Geoscience


Sonya Corcoran Sonya Corcoran – Coding / Digital Innovation

Creative coding · Data visualisation · Design thinking · Psychology · Educational Design · UX · Web development


Christopher Howden Christopher Howden – Statistician

Statistical Methods · Statistical Design


Upcoming sessions: Check back soon!


Gene Melzack Gene Melzack – Digital Curation

Organising data & structuring data · File formats · Data documentation & dictionaries · Digital preservation & archiving · Computational science


Gordon McDonald Gordon McDonald – Data Science

Simulation · Machine learning · Bayesian statistics · Physics · Chemistry · R · Matlab


Hayim Dar Hayim Dar – Research Computing

Modelling & Simulation · MATLAB · Artemis HPC · GPU computing · Computational neuroscience · Physics


Daniele Vicari Daniele Vicari – Data management

Digital research tools · eNotebooks · Data capture and surveys · Biochemistry


Peter Thiem Peter Thiem – Data Science Engineering

Software Engineering · Data Science · Applications · Web development · Databases · Python · R · Scikit-Learn · SQL · Java · AWS · Hadoop · HTML · CSS · JavaScript · GIT · Jira · Web · Security · Accessibility


Aldo Saavedra Aldo Saavedra – Senior Research Scientist

Statistical Methods · Machine Learning · eHealth · Data Science · Physics


Srdjan Luzajic Srdjan Luzajic – Data Centre Networking

Core networking · Moving big data · Firewalls & DMZ


Find contact details for Hacky Hour trainers or drop us a line at sih.info@sydney.edu.au.

Usyd Hacky Hour is brought to you by..

MAJOR HACK!


MAJOR HACK!