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X-WR-CALDESC:Events for Australian Data Science Network
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DTSTART:20210101T000000
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DTSTART;TZID=Australia/Brisbane:20220505T180000
DTEND;TZID=Australia/Brisbane:20220505T193000
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SUMMARY:AI for Good and the Bootstrapping Problem - Monash Prato Dialogue
DESCRIPTION:AI for Good and the Bootstrapping Problem – Monash Prato Dialogue\nThe Monash Prato Dialogue is a Monash Data Futures Institute Distinguished Lecture series on Artificial Intelligence and its impact on society. In this lecture\, Professor Shannon Vallor will discuss the ethical challenges and opportunities posed by new uses of data and AI. \nREGISTER: https://www.monash.edu/data-futures-institute/news/events/ai-for-good-and-the-bootstrapping-problem-monash-prato-dialogue \nAbout the speaker: \nProfessor Shannon Vallor is the Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence and Director of the Centre for Technomoral Futures in the Edinburgh Futures Institute at the University of Edinburgh\, where she is also a Professor in the Department of Philosophy. \nAbstract:\nIt is widely accepted that the digital age\, and artificial intelligence in particular\, presents increasingly urgent ethical challenges that call for responses guided by collective moral and political wisdom. One response\, to call for an alignment of AI with ‘social good’\, appears to have a noble and uncontroversial aim. \nIn this lecture Professor Vallor will discuss an unexamined problem with this framing that requires our attention. There is a ‘bootstrapping’ problem with calls to align AI with social good\, a problem that also impacts related suggestions to develop more virtuous or responsible models of AI innovation. The problem is that the very models of human and technical excellence most familiar and accessible to us today\, are precisely those that led us into the moral\, political and environmental crises that humanity now faces. \nProfessor Vallor will confront the problem of cultivating virtues and social goods of a new moral shape\, and the radical cultural transformations this may entail.
URL:https://australiandatascience.net/event/ai-for-good-and-the-bootstrapping-problem-monash-prato-dialogue/
CATEGORIES:Event
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DTSTART;TZID=Australia/Brisbane:20220511T100000
DTEND;TZID=Australia/Brisbane:20220511T104500
DTSTAMP:20220414T035103Z
CREATED:20220228T234027Z
LAST-MODIFIED:20220414T035103Z
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SUMMARY:AI4Pandemics Talk #21: Max Menzies\, Tsinghua University
DESCRIPTION:Welcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel.\nSpeaker: Max Menzies\, Tsinghua University \nTitle: Targeted mathematical approaches based on topical questions regarding COVID-19 \nAbstract: COVID-19 has consistently astonished policymakers and challenged researchers. From early predictions that it would “just go away” to later failures to understand precipitous upticks or decreases in cases and/or deaths\, this pandemic has consistently been difficult if not impossible to forecast. Thus\, we took a different approach\, focusing on the descriptive analysis of surprising phenomena. Throughout the pandemic\, we have keenly paid attention to the news to find key questions of interest that lend themselves to the development of innovative and elegant mathematical approaches. Combining backgrounds of pure maths\, applied maths and real-world experience\, we will aim to present work that is mathematically interesting in its own right as well as findings and interpretations of relevance to a wide audience. \n 
URL:https://australiandatascience.net/event/ai4pandemics-talk-21-max-menzies-tsinghua-university/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
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DTSTART;TZID=Australia/Brisbane:20220513T120000
DTEND;TZID=Australia/Brisbane:20220513T130000
DTSTAMP:20220516T001031Z
CREATED:20220504T001107Z
LAST-MODIFIED:20220516T001031Z
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SUMMARY:ADSN Series: Advancing Data-Intensive Research in Australia
DESCRIPTION:This ADSN series will explore the report released by the Australian Academy of Science on ‘Advancing data-intensive research in Australia’\n\n\n\n\n\nAbout this event\n\n\nThis was the first of a six-part monthly webinar series from the Australian Data Science Network. This series will focus on the October 2021 Report released by the Australian Academy of Science on ‘Advancing data-intensive research in Australia’. \n \nIn this webinar\, we focused on some of the high-level findings of the report and discuss the relevance for ADSN member organisations. Our guest speakers were: \n\nProfessor Jane Elith – Report Co-Author\nEmeritus Professor Michael Barber – Report Co-Author\n\nQUT Distinguished Professor Kerrie Mengersen will moderate the panel discussion. \nOur next meeting in the series:\n \nEmail info@australiandatascience.net if you’re interested in attending this workshop.
URL:https://australiandatascience.net/event/science-academy-data-report-series/
CATEGORIES:Event,Webinar
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
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DTSTART;TZID=Australia/Brisbane:20220525T100000
DTEND;TZID=Australia/Brisbane:20220525T104500
DTSTAMP:20220414T035619Z
CREATED:20220414T035619Z
LAST-MODIFIED:20220414T035619Z
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SUMMARY:AI4Pandemics Talk #22: Andres Colubri\, UMass Chan Medical School
DESCRIPTION:Welcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel.\nSpeaker: Andres Colubri\, UMass Chan Medical School \nTitle: Operation Outbreak: an app-based platform for infectious disease education and research \nAbstract: Together with Harvard University Professor Pardis Sabeti and Dr. Todd Brown from The Inspire Project\, we have been working since 2015 on Operation Outbreak (OO). This project was originally motivated by the ever-present pandemic threat (at the time\, made apparent by the West African Ebola outbreak) and the challenge of educating students about it in more engaging ways. Only five years later\, COVID-19 reified epidemiologists’ predictions of a global pandemic caused by an emerging pathogen. As public health measures contributed to curbing the spread of COVID-19\, innovative educational programs on infectious diseases could also play a role in controlling this pandemic––and in preparing for or preempting the next one. OO started as a mock outbreak activity for middle schoolers using stickers to mimic pathogen transmission\, and eventually evolved to comprise three interconnected components: (1) an academic curriculum and textbook on pathogen biology\, epidemiology\, public health\, political decision-making\, and science communication during health emergencies; (2) an outbreak simulation experiential learning activity that synthesizes curricular content with a Bluetooth-enabled smartphone app; and (3) a multi-user dashboard that visualizes data generated during the outbreak simulation for informed reflection and skill development in epidemiology and quantitative data analysis. Facilitated by the smartphone app\, the outbreak simulation spreads a virtual pathogen across participants’ phones via Bluetooth. Additionally\, the simulation incorporates a series of role-playing activities for the students (e.g.\, governance\, research\, healthcare)\, taking place during the simulated outbreak and mirroring a real-world epidemic. The current OO app supports Bluetooth beacons and QR codes that simulate infectious sources and protective items (e.g.\, face masks and hazmat suits) and interventions such as testing and vaccinations\, and we have been making substantial progress last year in the development of the app technology and conducting several large-scale pilots in middle and high schools\, as well as colleges. Currently\, my lab in the Program of Bioinformatics and Integrative Biology at the University of Massachusetts Medical School is focused not only on developing the technology behind OO\, but also using OO as a “real-life” simulator that could help create and validate epidemiological models to better respond to future outbreaks.
URL:https://australiandatascience.net/event/ai4pandemics-talk-22-andres-colubri-umass-chan-medical-school/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
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