Happy new year!
I am Ajit Jaokar of team Miami Young Data Scientists
Great to be here and look forward to sharing and collaborating
we have some questions/clarifications
the 15K data is for all the 9 sensors. yes? Is there a list of the actual sensors accessible(ie not all sensors in kit/ github ie those that are used in space)
whats the best place to get the technical details of the data and sensors? (re hypothesis below) I know the github but more looking for the hardware specs
How are people using the kits? (in schools) we have the kits and we were thinking of getting the team (participants) experimenting with specific experiments (same we are running in space) but welcome comments. ex we can take readings on the ground and use these as reference points so the students can get an idea of the kind of data they will get from space. Thats one way …
I envisage below. Any feedback/questions/comments welcome
Overall our experiment is to predict conditions on earth based on data from sensors. This was mentioned in the call / webinar also … but in our case, we are attempting to use Predictive algorithms on the data to extrapolate i.e. make future predictions.
a) Is there access to a space expert to cross validate ideas i.e. someone who knows space? for example What can be predicted(in terms of space) - ex clouds, thunderstorms etc (and by extension - what data is needed for those predictions) - how can I find this out/confirm from someone who know space(these may be some of the references in our work also - so we could propose the hypothesis - but great if we know someone who can say if we are on the right track overall … )
b) This is more an observation rather than a question. I don’t think we will have enough data to make a ‘proper’ prediction - so that’s why I want to know what can be predicted. Once I know that we can make the analysis and create a scientific method i.e. say that our results are based on the datasets we observed … etc etc.
c) This means my experiment itself will be simple i.e. just recording data from some sensors (based on point a above i.e. what is to be predicted). We may not need to run code but … we may have to if we have to programatically manage data.
d) Out of curiosity, what code are people planning to run in space and why? i.e. in our case, I envisage that the data science code would be run after we get data from space(in iPython notebook) which is Python code (vs Arduino code)
many thanks for your insights