Client project for Weeks 14-16 of Founders and Coders
Heroku App: http://fac16-lsx-action-planner.herokuapp.com/
London Sustainability Exchange (LSx) have been working with schools and communities helping them better understand, monitor and take action on air pollution for over 10 years. They support people to design projects, campaigns and talk to policy makers and planners raising the importance of the issue locally. Their aim is to use citizen science to help make the invisible, visible.
This would be a great tool for LSx's projects, the schools and communities we work with. We'd like to update our tools and our toolkits in this way to appeal to wider and new audiences, bringing together past, present and future projects. Potentially, we could grow the organization as the demand for citizen science tools is global.
Our user needs a way to be remotely supported when conducting air quality experiments and drawing conclusions so they can mobilise and feel confident in creating effective action plans.
A mobile based app to help users create an action plan, to organise and facilitate change. This was designed with kids in mind as the main group that LSx is engaging with currently are school children
git clone https://github.com/FAC-Sixteen/LSx.git
to clone the project.env
file, get in contact for Environment variablesnpm i
to install all dependencies in the express servernpm run nodemon
to start express server cd client/ && npm i
to install all dependencies in the client foldernpm start
to launch the project on localhost:3000npm build
to create a local version of how the project will build on the live production versionnpm test
to run tests locally. Mapping for Change http://mappingforchange.org.uk/ runs a similar citizen science project, and Plume Lab's Flow https://plumelabs.com/en/flow/ monitors personal exposure to pollution. We'd like to explore new ways of how data is collected and presented. There are bioindicators of pollution everywhere in nature, from the ways trees and plants behave to the presence and type of lichens (http://www.nhm.ac.uk/take-part/identify-nature/lichen-id-guide/index.dsml).
Imagine Pokémon Go for pollution.
building on the "crazy 8s" that we drew, we ear-marked our favourite frames from all of them respectively
To inform our figma proto we made an "inspiration" page which acted as a mood board. This culminated in the including the following general themes,
Brain-storming ideas was made easier by making large mind-map as a group. From this we came up with a fair number of the above themes
A big realisation which massively informed the design process was the concept of "action planning" as part of the specification given by the product owner.
The proto was also built gradually through a discriminative process. A frame would be designed, copied and improved upon, rinse repeat until all members of the group were satisfied. Frequently we would pair on a frame and source inspiration from one another's design = a nice, unforced synthesis
With a mobile app we can include 'lite' versions of our toolkits within the app. Full PDF toolkits and further resources can be sent to a designated user email address for a small donation (say £3). (his bosses are a bit tired of giving away our intellectual property for free)
The majority of respondents were interested with an app to support the air quality citizen science process, especially if it can help them draw conclusions and create an action plan. Most respondents had strong existing knowledge of air quality issues (through LSx projects or their own research). These people were interested in how to better draw conclusions/create an action plan/ disseminate their findings.
At the moment it would seem that not everyone conducting the experiments is engaged with the process: For the members of the public we supply testing kit to this is not the same learning exercise it is for participants of our projects. They feel they have already learnt about air quality issues and want to get data to support their agendas.
Perhaps this strengthens the need to provide comparable AQ data/ a wiki resource and highlights the work that needs done to turn this into a tool to promote engagement for users who are not currently interested in AQ issues.
Our users are trying to generate (first-hand) data evidence of pollution in their locales. Some are more engaged with the process of conducting citizen science than others: Some just want to collect some data to confirm their suspicions about air pollution.
Reassured/ that their suspicions were correct. By extension they want to feel empowered with hard data.
Our user needs a way to be remotely supported when conducting AQ experiments and drawing conclusions so they can mobilise and feel confident in creating effective action plans.
We used the creat react App as a base for our client side rendering and a express server to handle interaction with nodemailer and airtable.
React.Fragment
Making a Modal
React client to Express server requests
SVGs in React
styled components
CSS/JS animations
Nodemailer