Reporting back environmental exposure data and free choice learning

Reporting back environmental exposure data and free choice learning.

Reporting data back to study participants is increasingly being integrated into exposure and biomonitoring studies. Informal science learning opportunities are valuable in environmental health literacy efforts and report back efforts are filling an important gap in these efforts. Using the University of Arizona's Metals Exposure Study in Homes, this commentary reflects on how community-engaged ...

A system for archiving and reporting environmental radioactivity monitoring data

A new information system for archiving and reporting the RPII’s environmental radioactivity monitoring data has been designed. The main objectives of the proposed system are: centralised storage of these data in a standard format; and standardised reporting and exporting functionality. This paper presents a conceptual model and prototype of the proposed system.

Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning

Organisms appear to learn and make decisions using different strategies known as model-free and model-based learning; the former is mere reinforcement of previously rewarded actions and the latter is a forward-looking strategy that involves evaluation of action-state transition probabilities. Prior work has used neural data to argue that both model-based and model-free learners implement a valu...

Improving Mandatory Environmental Data Reporting for Comparable and Reliable Environmental Performance Indicators

Active Preference Learning with Discrete Choice Data

We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an individual in order to find the item that they value highly in as few trials as possible, and exploits quirks of human psychology to minimize time and cognitive burden. To do this, our algorithm maximizes the expected...