CSIRO Scientific Computing Services – Advanced Support for CSIRO’s Research Community

Mr Justin Baker1, Mr Daniel Collins1, Ms Juia Anticev1

1CSIRO, Clayton, Australia


CSIRO’s Scientific Computing Services (SCS) group has been providing a dedicated research support service since 2011. This service is delivered through Collaboration Projects which provide specialist capabilities including Machine Learning, Data Analytics, Scientific Visualisation, Workflow Management, and Simulation and Modelling into research and science projects.

The Collaboration Project process is run as a competitive grant process and continues to be very successful.

Twice yearly, around thirty-five Scientific Computing Services specialists (Research Software Engineers) successfully deliver an average of forty project outcomes from a total of sixty submissions. The underlying capabilities are provided by members from each of the four SCS teams: Technical Solutions; Data Analytics and Visualisation; Research Software Engineering; and Modelling and Dataflow.

The Collaboration Project process also provides a mechanism to promote and introduce new tools and frameworks for consumption to CSIRO’s research community e.g. Jupyter Notebook and R/Shiny.

Importantly, these Collaboration Projects are provided to CSIRO researchers and scientists at no additional charge.

We will highlight some very successful examples of collaboration projects, explain how to increase your chance of having your project accepted and outline what to avoid when making a submission.

In addition to SCS Collaboration Projects, we will cover other components of Scientific Computing Services, including:

  • Our plans for the Accelerating Digital Science initiative
  • The future of pan-deployments for SCS
  • Contribution to the Managed Data Ecosystem


Acting Executive Manager

Scientific Computing Services

Information Management and Technology



Jul 07 2021


12:30 pm - 1:30 pm

Local Time

  • Timezone: America/New_York
  • Date: Jul 06 2021
  • Time: 10:30 pm - 11:30 pm