Our challenge is to integrate Earth Observation-derived features with available socio-economic data in order to discover or enhance our understanding of COVID-19 impacts.
Our project compiles socio-economic data, fresh new NASA’s information and the latest scientific publication available on LitCovid NIH’s platform to enhance people’s understanding of their action impact on coronavirus dissemination.
Also, since the user should select a city to be the mayor and we are going to use recent data from this city, the game will provide a good view of the impact of our actions on a local and regional basis.
It was really hard to choose a challenge, all of them were interesting enough. But this one seemed to be an awesome way to put on work our ideia to compile trusthful and scientific data and show it to young and some time not interested people in a playful and fun manner.
First, we made a brainstorm trying to find out how to develop a fun and engaging way to disseminate truthful information of COVID-19 in order to motivate people on making best choices in their own lives. After we formalized the idea and started noting how our project could realy impact thousands of uninformed people, then we shared tasks in three main groups:
Market suitability: these tasks should provide us data about the profile and and target audience for our tool. One special data we used came from Sioux Group, Blend News Research, ESPM, on 2019.
Theoretical: so members should look after scientific information and good data to embase our future calculus on the game and also help to create new rules and challenges for players.
Technical: here people should develop a teaser of our game, creating and simulating scenes, backgrounds, text box, and other important game’s features
We tried to develop microparts of the project and then consult a mentor to collect some feedback of the idea, but it wasn’t always possible because we faced some difficulties while developing the prototype which has taken plenty of our time.
We used data to verify truthful and not truthful information, and also intend to use data to simulate the socio-economics indicators of the chosen city.
We used many softwares to make our teaser, between then were:
Adobe Illustrator
Adobe Photoshop
Canva
Construct 3
Camtasia
Filmora 9
RPG Maker
Sketchup
Screenapp.io
Sony Vegas 15
Unity
Cloudonvert.com
At the beginning we realized that our ideia did not fit to the first challenge we chose (Where There’s a Link, There’s a Way), also we had trouble trying to make a playable prototype because many of suggested tools were paid or had important paid features, so we decided to only make an MVP that could simulates a demo of its behaviour.
On the prototype phase we used a research made by Sioux Group, Blend News Research, ESPM, on 2019, to determine the viability and the impact of our product. It helped us to define our target audience.
Also, we used LitCovid’s data and articles to collect all the necessary information to create the interactions between the user and result after each decision.
Exemple of used article: "The number of deaths would have been 65% less (Demo)".
https://www.ncbi.nlm.nih.gov/research/coronavirus/publication/32355904
Also, in case of full implementation of the project we intend to use NASA datasets available on: https://data.nasa.gov/browse?limitTo=datasets