Government Data Science Community of Interest

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Online event

Event description
GovData Science Community of Interest, brings together data science practitioners, enablers and interested people from the public sector.

About this event

About

The Government Data Science Community of Interest (CoI) brings together data science practitioners from across the public sector to showcase projects, discuss topical issues and connect.

If you are new to our community please read through the following material:

This meetup is exclusively for the public sector (central and local government and their arms-length bodies, government companies, policing and public health organisations for example. NHS). Sign up with your organisational email e.g. name@ons.gov.uk. Failure to comply with this may result in your registration being cancelled.

Theme

Across the public sector, data science practitioners are applying the data science toolkit to provide insights on COVID-19 and Brexit. Colleagues from several organisations will showcase their work to the community.

At this meetup we will also take time to pause and reflect on well being and lessons learned.

Well-being and mental health resources:

Agenda

10: 10 am to 10:20 am

Joining time

10:20 am to 10:30 am

Introduction : Housekeeping and news

10:30 am to 11 am

Wastewater monitoring of SARS-CoV-2, Jazz Grimsley, Head of Waste Water Science and Research, JBC

11 am to 11:20 am

Winter is Coming - Analysis of Supply Chain Resilience, Eugene Chang and Fruzsina Gajdos, Data Scientists, DIT

The DEFEND programme in DIT are the x-gov lead on building resilience into the UK's critical, non-food supply chains for the future. It has assessed import risk impacts on public health, essential services, economic recovery and public confidence, and created categories such as Supply, Receive, Make, Store, Deliver.

We have built a shiny tool which gives a quick overview of supply chains, which is driven by open HMRC data and UNComtrade data to understand the most critical trade relations on a goods level.

11:20 am to 11:30am

Break

11:30 am to 12 pm

The data science behind HMRC’s COVID-19 response, HMRC Data Science Team

12 pm to 12:10pm

Winter Well-being, Hillary Juma, Data Science Community and Engagement Manager, ONS

12:10 pm to 12:30 pm

Faster indicators of UK economic activity, Lewis Edwards, Lead Data Scientist, Data Science Campus

A suite of indicators of economic activity, based on Her Majesty’s Revenue and Customs (HMRC) Value Added Returns, road traffic flow data for England, and indicators of shipping activity using Automatic Identification System (AIS) shipping indicators. These indicators are published in the monthly research output: Economic activity, faster indicators, UK.

12:30 pm to 12:40 pm

Break

12:40 pm to 1 pm

How can we estimate Covid’s impact on GB Electricity demand? , Rudi Narendran, Data Scientist, BEIS

1 pm

Close

Registration and joining instructions:

Before

  • Please register with both your work email and the email you might use to access Microsoft Teams.
  • If you are unfamiliar with Microsoft Teams, please check out this guide.
  • The Microsoft Teams joining link will be shared via the online event page and to your email address, on 17th November.
  • You will be able to join the Microsoft Teams via web browser or app from 9:45am before the session starts at 10am

On the Day

  • Once you are joined please make sure your microphone is muted and your screen is not on show as this will affect the streaming quality of the meet up.
  • The session will be recorded, including the chat functionality. Please ensure you happy with what you share ahead.
  • We will be using sli.do for the Q+A sessions during the event.

If you are no longer able to attend please cancel your registration at the earliest opportunity.

Privacy statement

Data collected will be stored jointly by GDS and ONS for event management purposes.

What data we need

The personal data we collect from you will include: your name, email address, job title, organisation.

The legal basis for processing this data is legitimate interest.

Why we need it

We need this information to effectively manage the event you would like to attend. This includes making sure we know who is attending and capacity limits are not exceeded, the event is accessible and caters to everyone's needs as much as possible, and to maintain a diverse and equal audience.

What we do with it

We will:

  • Make sure your data is only used in relation to the event you are attending for the purpose of event management and communications.
  • We will share your data if we are required to do so by law – for example, by court order, or to prevent fraud or other crime.
  • We will only retain your personal data for as long as it is needed for the purposes set out in this document or for as long as is required by law.

We will not:

  • sell or rent your data to third parties
  • share your data with third parties for marketing purposes

What are we doing

As part of our Government Data Science Partnership communications strategy, we are looking to record sessions so other colleagues can have access to sessions.

How we will do this

To support this we will record the Microsoft Teams session.

How will we use this data

i.e this may include one, or a combination of, the following: on GDS/HMG/ONS owned blogs, presentations, social media channels.

Your data will be stored securely in GDS/ONS systems and actively used in promotional material for up to 7 years. After 7 years GDS/ONS will review and delete your data pertaining to this project from our storage systems. However, your data may still be in circulation online or in hard-copy after that date due to the public nature of its disclosure.

If you do not want us to collect this data from you:

If you do not consent to this use of your personal data please inform us at the time of registration on the day, we will ensure published material does not include your personal details such as your name on Microsoft Teams Interface.

You may withdraw your consent, or request your data at any time, by making a request to: gds-comms@digital.cabinet-office.gov.uk and , or by writing to: Communications team, 7th Floor, White Chapel Building, 10 Whitechapel High Street, London E18 DX. Upon receiving your request GDS will cease processing your personal data

This statement was given on 11/10/2019 by Government Data Science Partnership

To read our full privacy notices please read here:

GDS – Privacy Policy

https://docs.google.com/document/d/e/2PACX-1vTQULjP9SCNYENoP4pawLu4vmGU_Bb3c4eOvF4ZWTS2POfEPC-oDVoxV4VUIi7x2vF3WDq4_CjRWghB/pub

ONS – Privacy Policy

https://www.ons.gov.uk/aboutus/transparencyandgovernance/dataprotection/privacyinformationforourstakeholders

Date and time

Location

Online event

Organiser Government Data Science Partnership

Organiser of Government Data Science Community of Interest

The Government Data Science Partnership is a collaboration between the Government Digital Service (GDS), Office for National Statistics (ONS) and the Government Office for Science. It was formed to help government realise the potential of data science. And to support the development of skills and tools to kickstart greater take-up across departments and agencies.

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