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Automating Science: Panel – Stephen Ames, John Wilkins, Greg Restall, Kevin Korb
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Automating Science: Panel – Stephen Ames, John Wilkins, Greg Restall, Kevin Korb

A discussion among philosophers, mathematicians and AI experts on whether science can be automated, what it means to automate science, and the implications of automating science – including discussion on the technological singularity. – implementing science in a computer – Bayesian methods – most promising normative standard for doing inductive inference – vehicle : causal…

Understanding the New Statistics
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Understanding the New Statistics

Geoff discusses statistics, confidence intervals, Bayesian approaches, meta-analysis, and problems with the use of ‘P’ values in significance testing. Discussion points: – Describe your background and involvement in statistics. – How have orthodox statistics helped psychology (& science)? How has it harmed the science? – What methods, models and tools do you commonly use in…

Simulating for Computational Biology – Arun Konagurthu
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Simulating for Computational Biology – Arun Konagurthu

Arun Konagurthu is a Senior Lecturer at the Clayton School of Computer Science and Information Technology, Faculty of Information Technology, Monash University. Between 2011-2013, Arun was additionally a Larkins Fellow at this faculty. Arun leads a small research group that researches mainly in computational biology and bioinformatics. His other research interests include data structures and…