A National Freight Data Hub … the first steps are already happening
The Federal Government’s funding the design and trialling of a national freight data hub was universally welcomed by the freight and logistics sector.
Ian is the Managing Director of iMove CRC. He's excited by the opportunity presented by the digitisation revolution to address the needs of the transport and mobility sectors, and looks forward to combining his CRC leadership experience with his interests in technology, enthusiasm for national progress, and familiarity with industry.
New scope for more iMOVE projects
iMOVE wants to embrace and engage with all those leaders in the transport and mobility space who were not able to join the CRC at its start.
Collaboration has never been so important
Faced with the demands of the coming transport revolution, collaboration has never been so necessary as it is now.
National Freight Data Hub to increase efficiency and productivity
iMOVE’s Freight Data Requirements Study is a blueprint for the ways technology can increase efficiency in Australia’s freight and logistics sector.
Creating R&D opportunities – your ideas are the beginning
Where do iMOVE project ideas come from? In this thoughtpiece iMOVE MD Ian Christensen discusses running events as a catalyst for project formation.
Data protection and privacy … getting it all right
Data protection, data privacy … we need to talk about these things because they need urgent attention, and they affect all of us.
Data sharing: big benefits with big data
How can you best reap benefits from big data? Through data sharing. A look at the considerations and hurdles involved in data sharing.
Smart mobility and the collision repair industry
With smart mobility & less vehicles on the road, & safer driving, where now for the collision repair industry?
Data and technology driving change in freight and logistics
Affordable advances in tech are bringing possibilities of real change to freight & logistics, to combat inefficiency & congestion, & increase profitability.
Making transport big data human-sized
What are the processes involved in turning extremely large datasets into information that can help us in making good, data-based transport decisions?