Efficient occupancy model-fitting for extensive citizen-science data

Efficient occupancy model-fitting for extensive citizen-science data

Appropriate large-scale citizen-science data present important new opportunities for biodiversity modelling, due in part to the wide spatial coverage of information. Recently proposed occupancy modelling approaches naturally incorporate random effects in order to account for annual variation in the composition of sites surveyed. In turn this leads to Bayesian analysis and model fitting, which a...

Negative Calibration for Citizen Science Crater Data

Citizen Science for Citizen Access to Law

Over 2014, the Cornell University Legal Information Institute and the Australian National University worked with users of the Cornell LII site in a citizen science project to collect over 43,000 crowdsourced assessments of the readability of legal and other sentences. Readers (“citizen scientists”) on legislative pages of the LII site were asked to rate passages from the United States Code and ...

Efficient pseudo-global fitting for helioseismic data

Mode fitting or “peak-bagging” is an important procedure in helioseismology allowing one to determine the various mode parameters of solar oscillations. Here we describe a way of reducing the systematic bias in the fits of certain mode parameters that are seen when using “local” fitting techniques to analyse the sun-as-a-star p-mode power spectrum. To do this we have developed a new “pseudo-glo...

Efficient Clothing Fitting from Data

A major drawback of shopping for clothes on-line is that the customer cannot try on clothes and see if they fit or suit them. One solution is to display clothing on an avatar, a 3D graphical model of the customer. However the normal technique for modeling clothing in computer graphics, cloth dynamics, suffers from being too processor intensive and is not practical for real time applications. He...