14 pages., via online journal., This research aims to identify and communicate water-related vulnerabilities in transport infrastructure, specifically flood risk of road/rail-stream intersections, based on watershed characteristics. This was done using flooding in Värmland and Västra Götaland, Sweden in August 2014 as case studies on which risk models are built. Three different statistical modelling approaches were considered: a partial least square regression, a binomial logistic regression, and artificial neural networks. Using the results of the different modelling approaches together in an ensemble makes it possible to cross-validate their results. To help visualize this and provide a tool for communication with stakeholders (e.g., the Swedish Transport Administration - Trafikverket), a flood ‘thermometer’ indicating the level of flooding risk at a given point was developed. This tool improved stakeholder interaction and helped highlight the need for better data collection in order to increase the accuracy and generalizability of modelling approaches.
8 pages., via online journal., Social media bring various stakeholders of the agro-food system together into a new playing field. This article reveals the dynamics of this playing field and the ways in which this can influence the governance of agro-food sustainability. We delineate three pathways that highlight the ways in which social media can have implications for the governance of agro-food sustainability; firstly, Hypes on agro-food sustainability issues, secondly, opportunities for the self-organization of food movements, and thirdly, data for new forms of agro-food governance. We conclude that while mass self-communication on social media forms an emergent force that disrupts agro-food governance, it also generates data that forms a resource for powerful players to regain control.