Hi Nishant, I'll share mainly about maps related issues. I don't come from anywhere near a formal data science qualification and am not sure if this fits into the accepted range of data science topics, but for me in the absence of these basic layers I don't think we can reach a stage to be able to talk about applying the more popular topics like ML, AI etc.
We practically do have free, granular enough data with village-level boundaries, most coded by census codes. If this is not true for some states then it is true for others and we can start from there. With precise village-level mapping of areas as basis, a lot of opportunities open up: 1. Ownership of land by non-persons can be mapped. We ought to have a one-stop website where each and every prior and new *land acquisition* by the government has been mapped, where *land holdings of major corporate entities* is mapped, *declared no-habitation zones* are mapped. And obviously where the interchange of land ownership between these entities can be tracked. This is not violation of privacy rights as it's not personal holdings, and can have significant impact in matters like communities vs entities disputes, locating the factory that is polluting the region's groundwater or the bottling plant that's sucking it out, etc. 2. For Maharashtra at least, I don't think we have *village-level association of state assembly and parliamentary constituencies*. (Some folks may disagree but I beg you to prove me wrong by attaching in your reply a simple excel/CSV list of 2011 census codes grouped by constituency rather than sending me off on another wild goose chase). At best there are official PDFs that say "half of X taluka is under Y MLA constituency and half of it is under Z constituency, and then another half is under Q constituency". The shapefiles I've seen are cutting straight lines across all the villages. Since at election time everbody DOES figure which constituency they're voting for (hopefully), it would be nice to have this little wrinkle ironed out once and for all. We can then start mapping political accountability at the MLA and MP level rather than sticking to full state-wide statistics of drought, suicides etc that look very big but don't really help in filtering down to root causes. ----- Other topic: transport 3. With ways of digitizing public transport agencies' schedules data becoming more accessible <http://datameet.org/2018/04/13/a-tool-for-composing-transit-schedules-data-in-static-gtfs-standard/>, (sorry for tooting my own horn there) Indian cities' public transport agencies' schedules data ought to be digitized and brought at par with global standards like GTFS. When the real-time streaming data starts to come, it will need a base layer of routes, stops, and timetables data in order to make sense. Else we'll be staring at a map with floating markers and will need considerable work in figuring out what the depot managers already know. Again, the more popular data science topics become applicable to this sector only after the initial groundwork is done. I'll write in again if more things come up. Also, I came across another link by GoI taking inputs similar to what you asked. Here's the link: https://www.aitf.org.in -- Cheers, Nikhil VJ +91-966-583-1250 Pune, India Website <http://nikhilvj.co.in> DataMeet Pune chapter <https://datameet-pune.github.io/> Self-designed learner at Swaraj University <http://www.swarajuniversity.org> Contribute <https://www.instamojo.com/@nikhilvj/> On Sun, Apr 22, 2018 at 3:16 PM, Palash Kulshrestha <[email protected]> wrote: > +1 > > -- > Datameet is a community of Data Science enthusiasts in India. Know more > about us by visiting http://datameet.org > --- > You received this message because you are subscribed to the Google Groups > "datameet" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > For more options, visit https://groups.google.com/d/optout. > -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
