Melbourne Graduate School of Education at the University of Melbourne
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In March 2021, Australia led the world in establishing the mandatory News Media Bargaining Code to force Google and Facebook to pay for the journalism it republishes to attract viewers and advertising. This development has long-term implications for digital platforms and the sustainability of the news media as well as for concepts of knowledge-sharing in an open society. Some argue that this legislation entrenches the power of existing media outlets by monetising content and therefore threatens the very freedom of the internet, while others argue that it will continue the work of democratizing access to quality journalism and information sharing. Who should own knowledge content on global tech platforms? How can, or should, global media giants be made accountable? How is the media landscape changing under the influence of new threats and controls?
The implications of Australia’s contribution to this extraordinary new public policy will be discussed by a panel of industry leaders and media insiders, including:
Professor Jeff Jarvis, The Leonard Tow Professor of Journalism, CUNY Graduate School of Journalism, New York
Dan Stinton, the Managing Director of Guardian Australia
Lizzie O’Shea, the Chair of Digital Rights Watch
Via Zoom: Please register via the link to attend online: https://unimelb.zoom.us/webinar/register/WN_ebyYuGFRTpimdKDvlX5Fkg
In person: All panellists will present online, but you can join us and watch the webinar on the big screen on Level 2 of the Digital Studio, West Wing of Arts West (Building 148) via the rear lift. There will also be coffee and post-discussion chats after the webinar. Please email email@example.com to let us know if you plan to attend in person.
In this lecture, Dr Brodie Lawson demonstrates how mathematical models and computer simulations help us better understand the complexities of the heart.
Underlying the heartbeat is in fact a rich signalling process, in which cells receive electrical stimulus that triggers them to beat. In the normal heartbeat, these stimuli are waves of excitation that travel through the heart, causing each cell to contract in turn and together produce a coordinated pumping motion. The body then controls the heartbeat by choosing how quickly to initiate these waves ー for example, more rapidly during exercise.
Unfortunately, it’s surprisingly easy for this to go wrong. Each heart cell waits for a signal, but can’t tell if a signal was legitimately initiated by the body. When this causes coordination to be lost, the result is arrhythmia, in which heart function is impaired or even lost entirely (ventricular fibrillation). Worse, our treatments for these issues remain unacceptably inconsistent. Understanding why antiarrhythmic medicines or surgeries work for some and not others remains a key question in cardiac physiology.
Enter mathematical models, and ACEMS. This talk will show the astounding complexity of one of the body’s most important organs, and how through virtual computer simulations, we can come to understand it in new ways that traditional experiments could never reveal.