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EARL 2021 - Presentation day

ABOUT THIS WEBINAR

Today will be the last day of EARL 2021 online - join us for a full day of presentations from R users from a wide range of industries. Please see more information on each of the talks below in the 'featured presenter' section. This session will be recorded and shared with ticket holders after the event.

The profits from EARL 2021 will be donated to Data Kind UK - a charity that helps social change organisations use data science.

We are pleased to also announce that EARL has been DICE (Diversity and Inclusion at Conferences and Events) certified and approved. The DICE organisation aims to encourage event organisers to think more about who they put on stage and to improve representation at events.

EARL is organised by Mango Solutions.

AGENDA

8.50am - Laura Swales, Mango Solutions - Welcome
9.00am - Branka Subotic, NATS - Keynote
9.45am - Break
10.00am - Eduardo Contreras Cortes, 4most - Machine Learning applications in Credit Risk
10.30am - Chris Beeley, NHS - Stronger together, making healthcare open- building the NHS-R Community
11.00am - Teresa Marti Rossello, Tilhill - Visualisation and forecasting in the forestry supply chain with the help of Shiny
11.30am - Break
12.00pm - Amit Kohli - Introduction to network analysis
12.30pm - Adithi Upadhya, ILK Labs - Shiny apps for air quality data analysis - Introduction to network analysis
1.00pm - Break
2.00pm - Avision Ho, Monique Ho and Martin Chan, Mettle - Meeting citizens where they R
2.30pm - Daniel Durling, Bank of England - We are not start-ups!
3.00pm - Gwilym Morrison, Royal London - Detection of protected characteristics bias in Machine Learning using R and Shiny
3.30pm - Break
4.00pm - Emily Riederer, Capital One - How to make R packages part of your team
4.30pm - Dr. Jacqueline Nolis, Saturn Cloud - Keynote

ADDITIONAL INFO

When: Friday, 10/09/2021 · 8:50 a.m. London
Duration: 8 hours
Price: £9.99
Language: English
Who can attend? Everyone
Dial-in available? (listen only): Not available.

FEATURED PRESENTERS

Webinar hosting presenter Generic Account

Laura Swales

Events and Community Manager

I run Mango's data science events and I will be hosting EARL 2021.

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Eduardo Contreras Cortes

Machine Learning applications in Credit Risk

This talk will cover the applications of Machine Learning in UK Financial Services and in specific in credit risk. The talk will outline the research conducted by 4most into approaches used in our ML Scorecard Development Framework for identifying...

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Dr Teresa Marti Rossello, Tillhill

Visualisation and forecasting in the forestry supply chain with the help of Shiny

The quality of the forest products is inherently linked to the geographical location and environmental conditions. A Shiny app for a leading forestry company in the UK has been developed to visualise the spatial dimension of historical harvesting...

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Amit Kohli

Introduction to network analysis

What do COVID, fraud, Facebook, and fake news have in common? They are all networks! And failure to recognize network properties will result an incomplete analysis. For example, why do some people spread COVID more than others? In terms of finding...

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Adithi Upadhya, ILK Labs

Shiny apps for air quality data analysis

With the ever-increasing global measurements of air pollutants (through stationary, mobile, low-cost, and satellite monitoring), the amount of data being collected is huge and necessitates the use of management platforms. In an effort to address...

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Avision Ho, Mettle

Meeting citizens where they R

We published a CRAN package and leveraged Shiny to tackle an information access problem citizens had with navigating to each individual Hong Kong district councillor’s Facebook page to receive updates on them. This posed an obstacle to civic...

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Gwilym Morrison, Royal London

Detection of protected characteristics bias in Machine Learning using R and Shiny

Bias has emerged as a key topic in Machine Learning (ML). The detection of biases of different kinds are important controls in the governance of ML models. Detecting and eliminating unwanted bias is important not only for compliance with...

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Dr. Jacqueline Nolis, Saturn Cloud

Keynote presentation

Dr. Jacqueline Nolis is a data science leader with over 15 years of experience in managing data science teams and projects at companies ranging from DSW to Airbnb. She currently is the Head of Data Science at Saturn Cloud where she helps design...

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Emily Riederer, Capital One

How to make R packages part of your team

Many case studies demonstrate the benefits of organizations developing internal R packages. But how do you move your organization from individual internal packages to a coherent internal ecosystem?

This talk will examine how internal R packages...

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Daniel Durling, Bank of England

We are not start-ups!

Very few of us work at a start-up. Many of us work for larger, older institutions. Such organisations have well developed processes that can be difficult to change. Firms such as these have enterprise wide agreements with software providers, must...

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Martin Chan

Meeting citizens where they R

Coming from a humanities background and hardly ever imagined himself to be someone who codes for a hobby, Martin discovered and fell in love with R as he pondered (then as an entry level analyst) whether analysis tasks can be done better and...

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Monique Ho, Organisational Strategist at BAE Systems Applied Intelligence

Meeting Citizens Where They R

Monique is an award-winning chartered management consultant on a mission to build a better society with technologies and empathy. She has solid experience in cybersecurity, corporate innovation, service design and agile transformation. Outside of...

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Chris Beely, NHS

Chris is the co-chair of the NHS-R technical advisory group and provides support to his healthcare provider organisation with a broad range of tasks relating to the storage, collation, analysis, and reporting of different types of data, especially...

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Dr Branka Subotić, CEng

Keynote presentation

Branka has over 15 years’ experience in the aviation industry. She has worked for NATS for 12+ years starting as the Senior/Principle Human Factors Specialist at the Directorate of Safety working mostly on the implementation of the new enroute...

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Mango
We empower organisations to thrive by fostering a data-driven culture, building an effective data science capability, and delivering value using data science and advanced analytics

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