This year we’ll hold our 4th PyDataLondon conference during May 5th-7th at Bloomberg (thanks Bloomberg!). Our Call for Proposals is open and will run during February (closing date to be confirmed so don’t just forget about it!– get on with making a draft submission soon).
We want talks at all levels (first timers especially welcome) from beginner to advanced, we want both regular talks and tutorials. We’ll be experimenting with the overflow room just as we did last year (possibly including Office Hours and ‘how to contribute to open source’ workshops).
Take a look at the 2016 Schedule to see the range of talks we had – engineering, machine learning, deep learning, visualisation, medical, finance, NLP, Big Data – all the usual suspects. We want all of these and more.
Personally I’m especially interested in:
- talks that cover the communication of complex data (think – bad Daily Mail Brexit graphics and how we might help people communicate complex ideas more clearly)
- encouraging collaborations between sub-groups.
- building on last year’s medical track with more medical topics
- getting journalists involved and sharing their challenges and triumphs
- and I’d love to be surprised – if you think it’ll fit – put in a submission!
The process of submitting is very easy:
- Go to the website and sign-up to make an account (you’ll need a new one even if you submitted last year)
- Post a first-draft title and abstract (just a one-liner will do if you’re pressed for time)
- Give it a day, log back in and iterate to expand on this
- If your submission is too short then the Review Committee will tell you that you don’t meet the minimum criteria, so you’ll get nagged – but only if you’ve made an attempt first!
- Iterate, integrating feedback from the Committee, to improve your proposal
- Keep your fingers crossed that you get selected
We’re also accepting Sponsorship requests, take a look on the main site and get in contact. We’ve already closed some of the options so if you’d like the price list – get in contact via the website right away.
I’d like to extend a Thank You to the new and larger Review Committee. I’ve handed over the reigns on this, many thanks to the new committee for their efforts.
Ian applies Data Science as an AI/Data Scientist for companies in ModelInsight, sign-up for Data Science tutorials in London. Historically Ian ran Mor Consulting. He also founded the image and text annotation API Annotate.io, co-authored SocialTies, programs Python, authored The Screencasting Handbook, lives in London and is a consumer of fine coffees.