Proud to see Splink named a "success story" for driving innovation in analysis in the Government Analysis Function Annual Report 2022/23, quoting @richardprice101:
"Their work on linking data will help to transform the way we deliver public services."
https://t.co/uHto4adX60
A bunch of exciting Splink features dropped recently:
🚀 Option to massively speed up EM training
📚 A host of improvements to the docs
🐘 Support for Postgres
🔬 A beta labelling tool
📊 All charts now Altair 5.0.1 w/png conversion
🎁 Lots of new out-of-the-box comparators.
🧵⬇️
Hey @AmazonHelp
I ordered a mobile phone from you as an urgent replacement for my broken one. After being told delivery had been attempted (it hadn't) and then that it would arrive by 10pm yesterday (it didn't), my package arrived this evening...
#LearningBytes Week 10; In celebration of the #AiGAwards People’s Choice Award winner, check out this excellent article from @RobinLinacre, providing a comprehensive introduction to Splink which enables fast, accurate and scalable record linkage in Python https://t.co/DW0ZCITtrs
Outstanding work! Congratulations to the award-winning @MoJGovUK team. Their work on linking data will help to transform the way we deliver public services. Thanks to the team, and to all those who voted. 👏
Huge congratulations to the Data Linking team at @MoJGovUK!
If you want to learn more about Splink and its benefits, read this blog by MoJ Data Scientist @RobinLinacre on how it can be used for record linkage at scale.
https://t.co/s9cAvXGoaU
🙏🏻🏆Thank you to everyone who voted for us to win this award. It means a lot to be appreciated for the progress we're making to facilitate data linking across government (and beyond).
����Extra special that it comes the day after we hit 5 million Splink downloads!
🎉The people have spoken... 🎉
We are thrilled to announce the very first People’s Choice Award goes to...
The Data Linking team @MoJGovUK for their work on Splink, which enables fast, accurate + scalable record linkage in Python.
Well done team, fantastic achievement!!🏆🥳👏
Even if you don't know me, don't care about data linking software, and you just like the word "splink" - please vote for our data linking software to win an award. Thank you!
Today is the last day to vote for Splink in the Analysis in Government awards. It only takes three clicks and I'd be very grateful:
Vote here: https://t.co/aOpQdrrGjY
Other nominees: https://t.co/dSI30UHTBx
If you've benefitted from Splink, I'd be grateful if you'd consider voting for it for the People's Choice in the Analysis in Government awards.
Vote here: https://t.co/EKjU04UqzC
Other nominees: https://t.co/dSI30UIrr5
Innovative Methods Award runner-up:
Data Linking team @MoJGovUK for their work on Splink – Fast, accurate and scalable record linkage in Python #AiGAwards2022@RichardPrice101
3/4
ADR UK is investing over £2.3 million in the @MoJGovUK#DataFirst programme.
Plans set out to curate, link and share up to five justice research-ready datasets and to further the sharing of justice data with other government departments.
Read more: https://t.co/OwAMcBfxta 1/2
Some of the MoJ data linking team enjoying the International Population Data Linkage Network conference in Edinburgh, ready to talk about Splink to anyone who will listen!
#IPDLN2022
To improve our insights @MoJGovUK’s Data First programme created Splink, an award-winning open-source data linkage software providing a radical improvement over existing techniques. It links datasets 100x larger, 100x faster, & works with most government digital platforms (2/4)
Better use of #data, and better techniques to do it, make a big difference to how the #justice system works, how we support victims, cut crime and improve the quality of people’s lives… (1/4)
Pleased to announce v3 of Splink, for record linkage at scale.
It now supports linkage in Python only, in addition to Spark and AWS Athena, and it's easier to use and faster.
What's new: https://t.co/VGDtmD6NFO
Discuss: https://t.co/CCW2LYRcTV
Docs: https://t.co/dIwoxHR37a
Pleased to release Splink 2.0 on PyPi, which makes record linkage faster and more accurate. The biggest change is an improved approach to term frequency adjustments, written by @SamNLindsay 👏👏. Changelog here: https://t.co/W9o8xJOoLH