Airscapes Singapore visualizes crowdsourced air quality data from a network of moving sensors to provide personalized air pollution exposure metrics. The interactive visualization gives urban populations a tool to learn how their experiences and activities (which affect travel times and breathing rates) may impact their exposure to pollution in real-time. Citizens may make informed decisions and change their behaviour to minimize their exposure to air pollution, and the impacts of air pollution on their health. The project was developed by an MIT Sensable City team led by Environmental Epidemeologist Marguerite Nyhan and her team of data scientists and engineers.
Biocaching is an outdoor hyperlocal biodiversity data collection game which allows a user to record observations which are forwarded to national and international databases. The team first met at a hackathon in Norway in June 2015 where they designed and built the concept and took home a prize of “Most useful for Society”. They look forward to developing the project further in the coming months.
Hack the Rainforest combines new technology like maps, mobiles and drones with indigenous wisdom in order to document and defend against deforestation and other environmental threats in the Amazon rainforest. Beginning with a first-of-its-kind hackathon in the Peruvian rainforest in early 2015, Hack the Rainforest is creating a mobile data collection app that empowers frontline communities to protect the rainforest. The team is composed of Hivos, Digital Democracy and local partners.
The Moabi team developed Logging Roads in an effort to crowdsource a map of all logging roads in the Congo Basin rainforest to identify logging violations, assess forest degradation, and highlight potential conflicts with customary land rights. To date they have developed a community that has mapped over 10,000 logging road map points in Open Street Map.
The Carnegie Melon team built a stunning and highly interactive visualization of census and
employment datasets to explore the economic impacts of Hurricane Katrina on areas affected by the
storm such as New Orleans and its neighbors.
The IndiaSpend team created an impressive visualization tieing air quality data to respiratory health in Mumbai. The team is continuing to develop the visualization further and plans to integrate real- time public health data in the future.
Incredible visualization of air pollution around the world from semifinalist Yale Environmental Performance Index (EPI). The visualization allows users to zoom in and see air pollution from ground-based monitors and satellites, and the dirtiest power plants.
Clean Water Mapping is a crowdsourced water source mapping platform designed to help populations with limited clean water access visualize water sources. This visualization is focused on the country of Pakistan, where clean water access is a challenge.
The team from the Costa Rica Institute of Technology developed technology that can identify a plant based purely on a photo of its leaves and aims to develop a user-friendly app in an effort to increase bioliteracy. It has demonstrated success to identify 66 species of trees from 3500+ images at 94.5% accuracy.
Foodie is an educational web application mapping food production and distribution across the globe as well as the current capacity and potential of countries to be self-sufficient. Foodie allows users to share and read stories behind food imports and exports of the each country based on FAOs World statistics.
Forest Guardian helps to reduce the reaction time to dissolve Forest Fires with a data visualization that pulls in raw data such as wind, weather, access points, among others. It uses raw data from Costa Rica´s Atlas Data Base and NASA.
PaST (Pasture Seasonal Timeseries) is intended to be a simple mobile-first app that relates forest and pasture management to environmental impact. It links freely available satellite data of ground and tree cover with the ecological processes happening locally or regionally for making informed grazing decisions.
The SciStarter team combines open city datasets in Philadelphia with existing citizen science projects to identify vacant lots for urban gardens and food exchange depots, working with communities along the way. The tool uses North Carolina State University soil data and is Philadelphia-based but planning to scale.
Sapelli is a data collection app designed to engage both literate and non-literate users and indigenous communities in participatory monitoring. The tool enables communities with limited ICT experience to contribute to environmental monitoring and natural resource management. It is an open-source platform from the ExCiteS team at University College London.