Thanks for sharing. I landed on https://paulnovosad.com/pdf/anr-india-mobility.pdf while browsing through your lab page. Haven't read it fully yet.
Just finished reading "India's new capitalist" book a while back and was wondering about data on social mobility. Best, Dilawar sent from a handheld device, pardon the brevity and tpyos On Tue, 23 Jun, 2026, 10:50 Saloni Taneja, <[email protected]> wrote: > Very cool, Taha! > > On Mon, 22 Jun 2026 at 10:02, Taha Ibrahim <[email protected]> > wrote: > >> Hi everyone, >> >> I am a researcher at Development Data Lab <https://www.devdatalab.org/> and >> I wanted to share a Py package I recently created for our data workflows: >> *AdminLineageAI*. >> >> The package helps create crosswalks between administrative units across >> datasets and time periods using Artificial Intelligence. For example, >> matching districts, subdistricts, states, or countries when names differ >> because of spelling variants, translations, renaming, splits, or mergers. >> >> This problem comes up often in research and policy datasets. For example, >> one dataset may use *Paschimi Singhbhum* while another uses *West >> Singhbhum*, *Allahabad -> Prayagraj* or a newer district may be split >> from its older predecessor district. These cases are difficult to solve >> with plain fuzzy matching. >> >> Some possible use cases include matching government scheme data to Census >> or official administrative lists, creating district or sub district >> evolution crosswalks across years, handling renamed/split/merged >> administrative units, and building reproducible data pipelines for social >> science, policy, or development research. >> >> It is experimental, so important matches should still be cross-checked >> but I would love to hear more possible use cases for it. Main aim here is >> to reduce manual work spent on just merging dataset. >> >> You can install it with: >> >> *pip install adminlineage* >> >> Here <https://github.com/TahaIbrahimSiddiqui/AdminLineageAI>is the >> GitHub repo with usage instructions and a few examples: >> >> It is open source, so please feel free to fork it, use it, or raise an >> issue on GitHub if you have feedback or run into anything. >> >> Best, >> >> Taha >> >> -- >> 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]. >> To view this discussion visit >> https://groups.google.com/d/msgid/datameet/7ba665b2-beb2-4b6b-a6b8-371df36c9bc6n%40googlegroups.com >> <https://groups.google.com/d/msgid/datameet/7ba665b2-beb2-4b6b-a6b8-371df36c9bc6n%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> > -- > 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]. > To view this discussion visit > https://groups.google.com/d/msgid/datameet/CAMieJ_7UVL0zD7zbmXDMxAjZHDEg558QPcrNyM0OppSXMtoWqw%40mail.gmail.com > <https://groups.google.com/d/msgid/datameet/CAMieJ_7UVL0zD7zbmXDMxAjZHDEg558QPcrNyM0OppSXMtoWqw%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > -- 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]. To view this discussion visit https://groups.google.com/d/msgid/datameet/CAM72-ZtyLpa_UFnmDXF9g%2B5VwyxRr7Mm35L4%2B2Er5SW7TYt%2BPQ%40mail.gmail.com.
