Littering involves throwing away waste in places not designated for it, harming the environment. This study introduces a strategy to encourage more use of Littergram, an app designed to fight littering. Littergram allows users to photograph litter and share these images publicly, alerting local councils to clean up the waste. The study aimed to increase user engagement with Littergram by implementing an intervention designed using the Behaviour Change Wheel (BCW), a comprehensive framework for developing behaviour change interventions. We developed and applied a digital campaign through emails, following BCW guidelines. The process began with identifying the behaviour we wanted to change. We conducted a survey to understand what influences this behaviour and selected techniques for changing behaviour based on these insights. The campaign involved sending targeted emails to Littergram users. There was an increase in the use of Littergram during the campaign, and growth returned to initial levels after the campaign ended. This outcome shows that the approach can effectively increase engagement temporarily. Future research should focus on challenges in maintaining long-term behaviour change.

Environmental uncertainty is at the core of much of human activity, ranging fromdaily decisions by individuals to long-term policy planning by governments. Yet,there is little quantitative evidence on the ability of non-expert individualsor populations to forecast climate-related events. Here we report on data from a90-year old prediction game on a climate related event in Alaska: the Nenana IceClassic (NIC). Participants in this contest guess to the nearest minute when theice covering the Tanana River will break, signaling the start of spring.Previous research indicates a strong correlation between the ice breakup datesand regional weather conditions. We study betting decisions between 1955 and2009. We find the betting distribution closely predicts the outcome of thecontest. We also find a significant correlation between regional temperatures aswell as past ice breakups and betting behavior, suggesting that participantsincorporate both climate and historical information into theirdecision-making.