1C1F has received the following awards and nominations. Way to go!
We decided to solve the challenge ten, where our goal is to make all people aware of their bad habits in order to change them ensuring the quality of life of future generations and nature. Our solution is a game-choice app designed and directed to children and teenagers groups who live in big cities, where each choice the user takes directly affects earth resources, based on data provided by NASA and other trusted local institutions.
The model of a big city was elaborated according to data from São Paulo (Brazil), but we are expected to create a database of the largest cities in the world, then the project can be replicable. São Paulo have 960.000 children registered only in public schools, so we hope to impact many families, children and teenagers around the world with the initiative.
We developed the idea of a game for teenagers and children, where a prototype of screens was modeled in order to assist the development of the application and validate the idea with the general public. After that, a PWA application developed in ReactJS was implemented in order to insert it on educational teaching plataforms, in schools and on Nasa teaching sites.
Initially the application will collect the number of family members and the location, so this data will be analyzed along with NASA database to define specificities of the region, such as: increased temperature, forest fires and others global warming causes. Others informations such as the number of vehicles, water, soil and air pollution will be defined in a confiable local database.
This application has the logic of assigning questions and options of answers about the user’s daily actions, where points will be assigned or not according to the character of the choice. At the interval of each question, the user will have acess to information, so that he can improve his attitudes. In this way the game will touch people by calling for a sense of responsibility for the maintenance of life on Earth.
The data available by NASA were used which deal with subjects such as: increasing global temperature by region, melting glaciers, increasing sea levels, forest fires, the amount of CO and CO2 in the air, in order to make an analysis of these data and concatenate them with the questions answered by users of the application to simulate the possible future in order to alert them and suggest what can be done to reduce the destruction of the planet. We've used datas from the following plataforms: Fire Information for Resource Management System (FIRMS), Global climate change (Suomi npp), Climate Time Machine (AIRS) and Air Quality (EOSDIS).
[1] 22-year Sea Level Risel. NASA, 2015. Available In: <https://svs.gsfc.nasa.gov/4345
https://svs.gsfc.nasa.gov/4787/>
[2]AGROTÓXICOS NO BRASIL: PADRÕES DE USO, POLÍTICA DA REGULAÇÃO E PREVENÇÃO DA CAPTURA REGULATÓRIA. Ipea, 2019. Available In: <http://repositorio.ipea.gov.br/bitstream/11058/9371/1/td_2506.pdf />
[3] Air Quality - Rio de Janeiro. NASA, 2020. Available In: <https://airquality.gsfc.nasa.gov/slider/rio-de-janeiro-2015-2019-vs-2020/>
[4]Anuário climático do Brasil. INPE, 2019. Available In: <http://www.inpe.br/noticias/arquivos/pdf/anuarioClima2018_Final.pdf />
[5]Climate Time Machine. NASA, 2020. Available In: <https://climate.nasa.gov/interactives/climate-time-machine/>
[6] Fire Information for Resource Management System. Avaible In:https://firms.modaps.eosdis.nasa.gov/map
[7] Gestão dos resíduos sólidos orgânicos urbanos no Brasil: do ordenamento jurídico à realidade. Valéria Cristina Palmeira Zago, 2019. Available In: <https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-41522019000200219/>
[8]Including CO2 implications of land occupation in LCAs - method and example for livestock products.Springer Link, 2012. Available In: <https://link.springer.com/article/10.1007/s11367-012-0434-7 />
[9]Índice de Gestão de Resíduos. Data GEO, 2018. Available In:<https://datageo.ambiente.sp.gov.br/app/?title=IGR+-+%C3%8Dndice+de+Gest%C3%A3o+de+Res%C3%ADduos+2018&uuid=%7BE10E2C9B-D829-4AA6-A31C-653D27AF32C6%7D&layer=IGR2018&resource=wms%3Ahttp%3A%2F%2Fdatageo.ambiente.sp.gov.br%2Fgeoserver%2Fdatageo%2Fows%3FSERVICE%3DWMS%26&bbox=-19.780446515,-53.104873407,-44.163397669,-25.30834614&layer=IGR2018&servidorMetadados=https://datageo.ambiente.sp.gov.br/geoportal/csw#/>
[10]Infraestrutura de dados espaciais ambientais do estado de São Paulo. DataGEO, 2020. Available In: <https://datageo.ambiente.sp.gov.br//>
[11]Making Sense of “Climate Sensitivity”. NASA, 2020. Available In: <https://climate.nasa.gov/blog/3017/making-sense-of-climate-sensitivity//>
[12] Nasa Images. NASA, 2020. Available In: <https://www.nasa.gov/multimedia/imagegallery/iotd.html
[13]NASA, NOAA Analyses Reveal 2019 Second Warmest Year on Record. NASA, 2019. Available In: <https://climate.nasa.gov/news/2945/nasa-noaa-analyses-reveal-2019-second-warmest-year-on-record//>
[14]Plano de Controle de poluição veicular. CETESB-SP, 2019. Available In: <https://cetesb.sp.gov.br/veicular/wp-content/uploads/sites/6/2018/01/PCPV-2017-2019.pdf/>
[15] Resíduos Coletados no município. Prefeitura da Cidade de São Paulo, 2020. Available In: <https://www.prefeitura.sp.gov.br/cidade/secretarias/subprefeituras/amlurb/index.php?p=185375 />
[16] Visible Earth. NASA, 2020. Available In: <https://climate.nasa.gov/earth-now/