O. J. Robinson

Analytical guidelines to increase the value of citizen science data: using eBird data to estimate species occurrence

This study improves species distribution estimates from eBird data by refining data processing and addressing biases, showing that complete checklists and effort covariates enhance model performance.

Integrating citizen science data with expert surveys increases accuracy and spatial extent of species distribution models

This study integrates citizen science data with expert surveys to improve the accuracy and spatial coverage of species distribution models for shorebirds in California.

Back-Translating A Rodent Measure Of Negative Bias Into Humans: The Impact Of Induced Anxiety And Unmedicated Mood And Anxiety Disorders

This study translates a rodent negative affective bias measure to humans, finding increased bias and reduced drift rate in those with mood/anxiety symptoms, but no effect from induced anxiety.

Using citizen science data in integrated population models to inform conservation decision-making

The paper uses eBird citizen science data in integrated population models to estimate population trends and identify conservation strategies for tricolored blackbirds.

Modelling avoidance in pathologically anxious humans using reinforcement-learning

This study uses reinforcement-learning models to analyze avoidance behavior in anxious individuals under stress, finding increased reliance on a Pavlovian bias parameter in the anxious group.