Andrew Ng Fireside Chat – Sign Up Now!

We are incredibly honoured and excited to be hosting Andrew Ng for a fireside chat on 10th February at 6.30pm (Sign up here) Many data scientists’ first encounter with Andrew Ng was through his Stanford University machine learning course – which has enrolled almost 4m people! However, some may be unaware that his contribution toContinue reading “Andrew Ng Fireside Chat – Sign Up Now!”

by piersstobbs January 13, 2021January 14, 2021

January Newsletter

Hi everyone- Happy New Year! I hope you have all had a festive holiday period and found some time to catch up on those deep learning research papers you had been meaning to dig into… Fingers crossed 2021 proves better than 2020…. as a start, how about welcoming in the new year with a fewContinue reading “January Newsletter”

by piersstobbs January 4, 2021January 5, 2021

Andrew Ng at the RSS Data Science Section!

We are going to have the great honour of hosting a fireside chat with Andrew Ng in February. The Data Science Section of the Royal Statistical Society have invited Andrew to come and talk to us about how technical people can become leaders in artificial intelligence and data science. Andrew needs little introduction to theContinue reading “Andrew Ng at the RSS Data Science Section!”

by piersstobbs December 9, 2020December 21, 2020

December Newsletter

Hi everyone- It’s hard to believe it’s December… in some respects the year has felt incredibly slow as we have watched the pandemic run its inexorable course; and then in other ways it feels like a blur of zoom calls and box sets that has gone by in a flash. Lets hope 2021 proves better…Continue reading “December Newsletter”

by piersstobbs December 4, 2020December 21, 2020

November Newsletter

Hi everyone- It’s all go… US Presidential Elections, second waves, third tiers and second lockdowns, all while struggling to maintain some semblance of professionalism for the next Zoom call… Definitely time for ‘self-care’ via some selected data science reading materials! Following is the November edition of our Royal Statistical Society Data Science Section newsletter. HopefullyContinue reading “November Newsletter”

by piersstobbs November 3, 2020December 22, 2020

This pandemic belief is mad, bad and dangerous to know

I know reality doesn’t matter anymore. I get that beliefs no longer require an underlying connection to facts about the world. I’ve made my peace with all of that. Because, generally speaking, I don’t care what you think. If you want to believe that 5G towers can spread viruses, be my guest. But a falseContinue reading “This pandemic belief is mad, bad and dangerous to know”

by martingoodson October 24, 2020December 22, 2020

How not to lose 16,000 COVID-19 test results: a data scientist’s view

A critical piece of the UK Test and Trace infrastructure failed hard this week. All contacts of almost 16,000 COVID-19 infected people were allowed to circulate unknowingly for an entire seven days in the community. That’s about 50,000 people. I’m not going to complain about Public Health England (PHE) using excel to merge the testContinue reading “How not to lose 16,000 COVID-19 test results: a data scientist’s view”

by martingoodson October 10, 2020December 22, 2020

October Newsletter

Hi everyone- As the rain pours down it definitely feels like winter has arrived- all the more reason to spend some time indoors huddled up with some good data science reading materials! Following is the October edition of our Royal Statistical Society Data Science Section newsletter. Hopefully some interesting topics and titbits to feed yourContinue reading “October Newsletter”

by piersstobbs October 5, 2020December 22, 2020

Lessons on Algorithm ethics from UK Exam algorithm story

This document chronicles the recent controversy surrounding the UK exams fiasco where an algorithmic approach was rejected and demonstrates areas where those building and deploying models must be vigilant and have training, process and governance in placeGiles Pavey – September 2021 Background In March 2020, the UK Government made the significant policy in response toContinue reading “Lessons on Algorithm ethics from UK Exam algorithm story”

by rssdss September 15, 2020December 22, 2020

Ethics Happy Hours

Announcing our new Data Science Section Initiative: Share and discuss ethical challenges encountered in your professional life during Ethics Happy Hours Ethical questions are ubiquitous in pursuing real-world data science projects. During the Covid-19 crisis, controversies around the design of contact tracing apps or the moderation of GCSE and A-level results have recently served asContinue reading “Ethics Happy Hours”

by rssdss September 11, 2020December 22, 2020

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The Data Science Section of the Royal Statistical Society includes experienced representatives from business, industry, government and academia and was formed to address emerging topics that will impact the long term success of data science as a profession.

We aim to be the professional body for data science in the UK and have clear goals:

• Support technically-skilled data scientists by increasing their public profile and providing a mentorship network.
• Run a series of events with UK data science leaders, disseminating guidance and exemplars of best practice.
• Drive networking and best practice through social events and hackathons.

For more information, check out the official Royal Statistical Society website and also our LinkedIn site

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