Kelly Hosking, Teresa De Santis, Emily Vintour-Cesar, Phillip Merrdi Wilson, Linda Bunn, George Garambaka Gurruwiwi, Shiraline Wurrawilya, Sarah Mariyalawuy Bukulatjpi, Sandra Nelson, Cheryl Ross, Kelly-Anne Stuart-Carter, Terese Ngurruwuthun, Amanda Dhagapan, Paula Binks, Richard Sullivan, Linda Ward, Phoebe Schroder, Jaclyn Tate-Baker, Joshua S Davis, Christine Connors, Jane Davies
"Putting the power back into community": A mixed methods evaluation of a chronic hepatitis B training course for the Aboriginal health workforce of Australia's Northern Territory
PloS one
computers help neuroscientists analyze experimental results automating application statistics however computeraided experiment planning far less common due lack similar quantitative formalisms systematically assessing evidence uncertainty ontologies semantic web resources help neuroscientists assimilate required domain knowledge experiment planning requires ontological also epistemological eg methodological information regarding knowledge obtained outline epistemological principles graphical representations causality used formalize experiment planning toward causal discovery outline two complementary approaches experiment planning one quantifies evidence per principles convergence consistency another quantifies uncertainty using logical representations constraints causal structure approaches operationalize experiment planning search experiment either maximizes evidence minimizes uncertainty despite work laboratory automation humans must still plan experiments likely continue time thus great need experimentplanning frameworks amenable machine computation also useful aids human reasoning