Emma Schleiger
Biographic Data
| ID | 4639206 |
|---|---|
| NAME | Emma Schleiger |
| GIVEN NAMES | Emma |
| FAMILY NAME | Schleiger |
| SIGNATURE | SCHLEIGER E |
| AFFILIATIONS | Commonwealth Scientific and Industrial Research Organisation |
| ORCID | 0000-0002-0360-3144 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Truck drivers and automation
The transition to autonomous trucks (ATs) is coming, and although it is expected to be gradual, it will create both challenges and opportunities for the existing driver workforce. This paper presents a novel integrated methodology for identifying viable occupational transitions for truck drivers as transport automation advances. Unlike traditional workforce transition analyses that focus primarily on skill similarity, wages, and employment demand…
Australian public opinions of responsible innovation
Public perceptions of responsible innovation
Today, boundaries between innovation, science, and technology have loosened, with innovation often driving technology built upon scientific discovery. This combination has brought us the internet, electric vehicles, and space exploration. But it has not all been good. The economization of innovation has contributed to social inequity, progressed autonomous weaponry, and put the ecological health of our planet at risk. For these reasons, the quest…
Forty years in the making
Differentiating artificial intelligence activity clusters in Australia
We demonstrate how cluster analysis underpinned by analysis of revealed technology advantage can be used to differentiate geographic regions by activity in artificial intelligence (AI). Our analysis uses novel datasets on Australian AI businesses, intellectual property patents and labour markets to explore location, concentration and intensity of AI activities across 333 geographical regions. We find that Australia's AI business and innovation ac…
Differentiating artificial intelligence activity clusters in Australia
We demonstrate how cluster analysis underpinned by analysis of revealed technology advantage can be used to differentiate geographic regions by activity in artificial intelligence (AI). Our analysis uses novel datasets on Australian AI businesses, intellectual property patents and labour markets to explore location, concentration and intensity of AI activities across 333 geographical regions. We find that Australia's AI business and innovation ac…
Differentiating artificial intelligence activity clusters in Australia
We demonstrate how cluster analysis underpinned by analysis of revealed technology advantage can be used to differentiate geographic regions by activity in artificial intelligence (AI). Our analysis uses novel datasets on Australian AI businesses, intellectual property patents and labour markets to explore location, concentration and intensity of AI activities across 333 geographical regions. We find that Australia's AI business and innovation ac…
Forty years in the making
Public perceptions of responsible innovation
Today, boundaries between innovation, science, and technology have loosened, with innovation often driving technology built upon scientific discovery. This combination has brought us the internet, electric vehicles, and space exploration. But it has not all been good. The economization of innovation has contributed to social inequity, progressed autonomous weaponry, and put the ecological health of our planet at risk. For these reasons, the quest…
Truck drivers and automation
The transition to autonomous trucks (ATs) is coming, and although it is expected to be gradual, it will create both challenges and opportunities for the existing driver workforce. This paper presents a novel integrated methodology for identifying viable occupational transitions for truck drivers as transport automation advances. Unlike traditional workforce transition analyses that focus primarily on skill similarity, wages, and employment demand…
Australian public opinions of responsible innovation
Business (2 works) · Climate Change Communication and Perception (2 works) · Computer Science (2 works) · Geography (2 works) · Knowledge management (2 works) · Marketing (2 works) · Perception (2 works) · Political science (2 works) · Responsible Research and Innovation (2 works) · Automation (1 work)