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Insights

A look at emerging trends, industry breakthroughs, general life hacks and success stories to keep you informed and one step ahead.

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Co-creating meals for swallowing disabilities: UTS and MELBA's solution
Co-creating meals for swallowing disabilities: UTS and MELBA's solution

Co-creating meals for swallowing disabilities: UTS and MELBA's solution

Building skills for the future: Plus UTS and NETM's partnership
Building skills for the future: Plus UTS and NETM's partnership

Building skills for the future: Plus UTS and NETM's partnership

How re-skilling women could solve the digital skills shortage
How re-skilling women could solve the digital skills shortage

How re-skilling women could solve the digital skills shortage

How creative industries can upskill for digital transformation
How creative industries can upskill for digital transformation

How creative industries can upskill for digital transformation

Microsoft & UTS team up to solve the tech skills shortage
Microsoft & UTS team up to solve the tech skills shortage

Microsoft & UTS team up to solve the tech skills shortage

How businesses can address the construction sector's skills shortage
How businesses can address the construction sector's skills shortage

How businesses can address the construction sector's skills shortage

Learning from international COVID-19 interventions
Learning from international COVID-19 interventions

Learning from international COVID-19 interventions

Forecasting NBN broadband service demand
Forecasting NBN broadband service demand

Forecasting NBN broadband service demand

Human Rights and Emerging Technologies
Human Rights and Emerging Technologies

Human Rights and Emerging Technologies

Analysing COVID-19 and bushfire impacts in LGAs (NSW)
Analysing COVID-19 and bushfire impacts in LGAs (NSW)

Analysing COVID-19 and bushfire impacts in LGAs (NSW)

Analysing COVID-19 impacts in LGA's (NSW)
Analysing COVID-19 impacts in LGA's (NSW)

Analysing COVID-19 impacts in LGA's (NSW)

Machine learning in train network operations
Machine learning in train network operations

Machine learning in train network operations

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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