We talked to Manu about the data gaps, and how this isn't unintentional. About the design challenges of designing something 100% homemade globally, as we don't know for instance, what is on every woman's kitchen or cleaning space. We know there's already really well designed tech to get this diagnose, but isn't sensibly perceived, located and distributed. We also stated that the available information globally is only about the aftermath, when a person already declares her/him self pregnant. This contributes to the previous uncertainty, when you still don't know if u can declare yourself pregnant or pregnant-but-not-wanna-be-pregnant.
Manu proposed to choose in one of the three ways he sees we can proceed:
Focus on the distribution context: Figuring out better ways the products that already exists to start changing the perception of getting and making the test. For example, vending machines where you can approach to it and get a product without human interaction. In my opinion, this might solve the testing part, but not quite attends the original root of al evils in an explicit manner other that "the market says its OK", which can work, but then again we rely on what constrains us.
Focus on data and divulgation: Make graphical work (as @Xavier Coadic suggested, a graphical description that really states the problem, so we can really point where the gaps of info, development, distribution and sensibility are. I'm thinking on really making this in a global network manner, starting with France, Mexico and India, and as @Haashika Raj said, collect ourselves data and make sense of it in a powerful graphical way. A way to expand this is making data bases that connects ONG's, articles, statistics, etc. So a person can compare information and start to realize the bigger problem. This can also address the previous point (I think).
3)Focus on the tech side. He suggested to keep on poking the saliva testing, as a really frugal diagnose of the hormonal state. I know that Xavier and @Pao Arias have lots of info about this, and even if we don't develop a home made pregnancy test, we can also provide a graphical way to explain why this might or might not work. I'm not sure about how feasible is this, as we don't have that much of a lab (unless Xavier tells us how to use our kitchens!) and I have a friend that is pregnant and we can use her saliva and pee (though she will only be pregnant till next Thursday).
That's my review people! Looking forward to make decisions!
Love u all.
PS. he congratulated us for having a strong united spirit about the subject and the passion for it. He also suggested that we can't forget this when we make a decision in where to go from now on.
Hi Everyone!! I think that this''falsability'' about the feasibility of pregnancy tests is important as well. That way it encourages th course of our project to focus on the communication of this issue, and how frugal pregnancy tests are not the absolute solution to it.
Data and information are something like virtual entities to me lol, it's still hard for me to grasp on to the importance of data availability, because of that I still can't seem to identify the importance of this data approach. I do think that it is key, and knowing this I wouldn't want to work on anything else, as te technical and distribution approaches are just partial solutions.
I love you all! thank you for your time.