Curtin Institute for Data Science · Established 2016
Messy data, an unproven AI idea, or research that needs to become working software. Bring the problem and CIDS will help find the method, scope the work and build it with you.
All capabilities
CIDS brings the people, methods and infrastructure to move from a rough question to usable evidence, software or training.
Predictive models, classification systems and AI prototypes designed around a real operational or research question.
Descriptive, diagnostic and predictive analysis that turns messy datasets into findings your team can use.
Support for larger simulations and computational workloads across in-house, national and cloud HPC environments.
Pipelines, wrangling and data preparation that make advanced analytics and AI work possible in the first place.
Professional research software, dashboards, tools and applications built by in-house developers who understand research settings.
Workshops and bespoke capability uplift in coding, computational literacy, AI readiness and practical data methods.
Dashboards, digital twins and interactive views that make complex systems easier to inspect and explain.
Mathematical models and decision support for problems across mining, energy, logistics, agriculture and manufacturing.
A dedicated project office that helps define the work, manage delivery and keep the right people around the table.
The shift
You do not need to arrive with a perfect brief. CIDS can meet the work at the right level, from an expert review to a full build.
Bring a defined problem and CIDS can design the method, prepare the data, develop models, build software and manage delivery through to a working output.
Use CIDS as a technical sounding board for feasibility, architecture, AI readiness, grant shape, data governance or the next sensible experiment.
Run targeted training so staff and researchers can understand the tools, interpret the outputs and keep momentum after the project handover.
Blend the modes
Many projects start with advice, move into a prototype, then finish with documentation or training. The shape can change as evidence appears.
Applied R&D depth
CIDS can stay at the advisory layer or go all the way down into data engineering, modelling, high-performance computing and research software.
Define the question, evidence and smallest useful output
Powered by technical discovery
Wrangle, connect and document the datasets that matter
Powered by data engineering
Choose the right analysis, simulation or AI approach
Powered by data science
Run heavier workloads and turn outputs into usable tools
Powered by HPC and RSE
Package the evidence so partners can decide and act
Powered by project delivery
People + infrastructure
CIDS combines specialist people, university infrastructure and delivery practice so ambitious data work has somewhere solid to land.
Data scientists, research software engineers, HPC specialists and project coordinators who can sit beside your domain experts.
Meet the teamAccess to computational methods and environments suited to larger datasets, simulations, prototypes and research workloads.
Explore facilitiesA project office that helps scope the work, coordinate partners, manage milestones and keep the output tied to the original problem.
Plan the workFictional examples of the work CIDS can shape with partners
Resources operations partner
More about a fictional project using sensor data to forecast haul truck delays.
Public health research team
More about a fictional project turning linked health datasets into planning evidence.
Agriculture consortium
More about a fictional project modelling irrigation choices under changing conditions.
Science and engineering group
More about a fictional project processing telescope imagery for faster discovery.
Transport planning partner
More about a fictional project testing freight bottlenecks before systems change.
Government program team
More about a fictional project making funding outcomes easier to inspect and explain.
CIDS can help shape data projects where privacy, accreditation, sovereignty and partner assurance matter. We work with Curtin governance, secure environments and project-specific controls so sensitive work has a practical path forward.
How it works
Your team and systems stay part of the process, from first scoping through to handover.
Listen
CIDS starts by understanding the people, constraints, data sources and decisions already in play. The aim is to work with your operating reality, not pretend it is a clean-room problem.
Scope
Together we define the smallest useful outcome, the data needed, the technical approach, the risks and the roles. That might become advice, a prototype, training or a full delivery project.
Build
Domain experts stay close to the work while CIDS handles the specialist data science, software, modelling and computation. Progress is explained in language stakeholders can actually use.
Handover
The end point is practical: evidence, code, dashboards, documentation, training or a next-step roadmap that your team can carry into funding, operations or further research.
Share a few details and CIDS can help shape the first conversation.
