February 18th - 1pm AEDT
Smart Neighborhoods is all about how tools including artificial intelligence and machine learning are being put to use in communities around Australia. We’ll be exploring specific case studies where AI and machine learning have been used for positive community outcomes; and we’ll also be discussing some of the moral and ethical issues that arise when it comes to using these technologies.
1:00pm: Laura Harvey, Managing Editor, Monkey Media
Welcome remarks
1:05pm: President, Australian Smart Communities Association President
ASCA Welcome
1:10pm Keynote Speaker - Ian Opperman, Chief Data Scientist, NSW Government
Smart places – getting smarter through data (with privacy, consent and security)
1:40pm Sue Keay, Chief Executive Officer, Queensland AI Hub
Using AI to support communities
2:15pm: PANEL - AI and Machine Learning in practice
Russell Riding, Automation Team Leader, Melbourne Water
Ben Sinnott, Acting Manager Smart City Office, Wyndham City Council
Speaker TBC, The Urban Institute
3:00pm: Niels Wouters, Head of Research and Emerging Practice, Research Fellow, Science Gallery Melbourne
The good, the bad and the data: ethical and appropriate data gathering and usage
3:30pm: Cat Gilbert, Senior Project Officer, Department of Environment, Land, Water and Planning
Building and tree detection using LiDAR and imagery
Dr Ian Oppermann - Chief Data Scientist, NSW Government
Speaker at Week 1 : AI and machine learning in the community
Dr Ian Oppermann is the NSW Government’s Chief Data Scientist working within the Department of Customer Service. He is also an Industry Professor at the University of Technology Sydney (UTS). From 2015 to 2019, Ian was also the CEO of the NSW Data Analytics Center (DAC). Ian has nearly 30 years’ experience in the ICT sector and has led organisations with more than 300 people, delivering products and outcomes that have impacted hundreds of millions of people globally. He has held senior management roles in Europe and Australia as Director for Radio Access Performance at Nokia, Global Head of Sales Partnering (network software) at Nokia Siemens Networks, and then Divisional Chief and Flagship Director at CSIRO.
Sue Keay - Chief Executive Officer, Queensland AI Hub
Speaker at Week 1 : AI and machine learning in the community
Sue is the CEO of Queensland AI Hub, following her role as Research Director for Cyber-Physical Systems at CSIRO’s Data61. Among many achievements, she is responsible for bringing the Grace Hopper Celebration to Australia and led the development of Australia’s first Robotics roadmap, outlining how robotics and automation will impact every sector of the Australian economy.
Sue was formerly the Chief Operating Officer for the Australian Centre for Robotic Vision and has an MBA from The University of Queensland Business School. She is a graduate of the Australian Institute of Company Directors and chairs the Board of Robotics Australia Group, and serves on the Boards of the CRC for Optimising Resource Extraction and Women in Robotics (international). Sue completed her PhD in Earth Sciences at The Australian National University in 1998 and is recognised as a Superstar of STEM and one of Queensland’s most influential people.
Niels Wouter - Head of Research and Emerging Practice, Science Gallery Melbourne, and Research Fellow, Interaction Design Lab
Speaker at Week 1 : AI and machine learning in the community
Niels Wouters is Head of Research and Emerging Practice for Science Gallery Melbourne, and Research Fellow in the Interaction Design Lab at the University of Melbourne. In his roles, he promotes collisions between arts and science as a mechanism to expose the breadth of STEM. His own research practice in Human-Computer Interaction revolves around the democratisation of technology in order to achieve tangible benefits for society. Niels; work is regularly featured in national and international media, highlighting the impact of new technology on urban life. Niels acquired a PhD in Architectural Engineering and holds degrees in Architectural Design, Computer Science and Human-Computer Interaction.
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