With the Census in England and Wales taking place on 21 March 2021, we created a programme of webinars to showcase our plans for design and quality assurance. The series, which was carried out through November and December 2020, included a high-level introductory overview as well as 'In Focus' sessions that outlined specific aspects in more detail. These webinars gave attendees the opportunity to ask questions and provide feedback.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2021/07/the-data-driven-engineering-revolution-a-presentation-from-edge-impulse/
Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “Data-Driven Engineering Revolution” tutorial at the May 2021 Embedded Vision Summit.
In this talk, IoT industry pioneer and Edge Impulse co-founder Zach Shelby shares insights about how machine learning is revolutionizing embedded engineering. Advances in silicon and deep learning are enabling embedded machine learning (TinyML) to be deployed where data is born, from industrial sensor data to audio and video.
Shelby explains the new paradigm of data-driven engineering with ML, showing how developers are using data instead of code to drive algorithm innovation. To support widespread deployment, ML workloads need to run on embedded computing targets from MCUs to GPUs, with MLOps processes to support efficient development and deployment. Industrial, logistics and health markets are particularly ripe to deploy this data-driven approach, and Shelby highlights several exciting case studies.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/08/how-transformers-are-changing-the-direction-of-deep-learning-architectures-a-presentation-from-synopsys/
Tom Michiels, System Architect for DesignWare ARC Processors at Synopsys, presents the “How Transformers are Changing the Direction of Deep Learning Architectures” tutorial at the May 2022 Embedded Vision Summit.
The neural network architectures used in embedded real-time applications are evolving quickly. Transformers are a leading deep learning approach for natural language processing and other time-dependent, series data applications. Now, transformer-based deep learning network architectures are also being applied to vision applications with state-of-the-art results compared to CNN-based solutions.
In this presentation, Michiels introduces transformers and contrast them with the CNNs commonly used for vision tasks today. He examines the key features of transformer model architectures and shows performance comparisons between transformers and CNNs. He concludes the presentation with insights on why Synopsys thinks transformers are an important approach for future visual perception tasks.
Here is a basic Linear Algebra review for the class of Machine Learning. This is actually becoming a new class in the mathematics of Intelligent Systems, there I will be teaching stuff in
1.- Linear Algebra - From the basics to the Cayley-Hamilton Theorem with applications
2.- Mathematical Analysis - from set to the Reimann Integral
3.- Topology - Mostly in Hilbert Spaces
4.- Optimization - Convex functions, KKT conditions, Duality Theory, etc.
The stuff is going to be interesting...
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2021/07/the-data-driven-engineering-revolution-a-presentation-from-edge-impulse/
Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “Data-Driven Engineering Revolution” tutorial at the May 2021 Embedded Vision Summit.
In this talk, IoT industry pioneer and Edge Impulse co-founder Zach Shelby shares insights about how machine learning is revolutionizing embedded engineering. Advances in silicon and deep learning are enabling embedded machine learning (TinyML) to be deployed where data is born, from industrial sensor data to audio and video.
Shelby explains the new paradigm of data-driven engineering with ML, showing how developers are using data instead of code to drive algorithm innovation. To support widespread deployment, ML workloads need to run on embedded computing targets from MCUs to GPUs, with MLOps processes to support efficient development and deployment. Industrial, logistics and health markets are particularly ripe to deploy this data-driven approach, and Shelby highlights several exciting case studies.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/08/how-transformers-are-changing-the-direction-of-deep-learning-architectures-a-presentation-from-synopsys/
Tom Michiels, System Architect for DesignWare ARC Processors at Synopsys, presents the “How Transformers are Changing the Direction of Deep Learning Architectures” tutorial at the May 2022 Embedded Vision Summit.
The neural network architectures used in embedded real-time applications are evolving quickly. Transformers are a leading deep learning approach for natural language processing and other time-dependent, series data applications. Now, transformer-based deep learning network architectures are also being applied to vision applications with state-of-the-art results compared to CNN-based solutions.
In this presentation, Michiels introduces transformers and contrast them with the CNNs commonly used for vision tasks today. He examines the key features of transformer model architectures and shows performance comparisons between transformers and CNNs. He concludes the presentation with insights on why Synopsys thinks transformers are an important approach for future visual perception tasks.
Here is a basic Linear Algebra review for the class of Machine Learning. This is actually becoming a new class in the mathematics of Intelligent Systems, there I will be teaching stuff in
1.- Linear Algebra - From the basics to the Cayley-Hamilton Theorem with applications
2.- Mathematical Analysis - from set to the Reimann Integral
3.- Topology - Mostly in Hilbert Spaces
4.- Optimization - Convex functions, KKT conditions, Duality Theory, etc.
The stuff is going to be interesting...
Mrbml004 : Introduction to Information Theory for Machine LearningJaouad Dabounou
La quatrième séance de lecture de livres en machine learning.
Vidéo : https://youtu.be/Ab5RvD7ieFg
Elle concernera une brève introduction à la théorie de l'information: Entropy, K-L divergence, mutual Information,... et son application dans la fonction de perte et notamment la cross-entropy.
Lecture de trois livres, dans le cadre de "Monday reading books on machine learning".
Le premier livre, qui constituera le fil conducteur de toute l'action :
Christopher Bishop; Pattern Recognition and Machine Learning, Springer-Verlag New York Inc, 2006
Seront utilisées des parties de deux livres, surtout du livre :
Ian Goodfellow, Yoshua Bengio, Aaron Courville; Deep Learning, The MIT Press, 2016
et du livre :
Ovidiu Calin; Deep Learning Architectures: A Mathematical Approach, Springer, 2020
"Attention Is All You Need" Grazie a queste semplici parole, nel 2017 il Deep Learning ha subito un profondo cambiamento. I Transformers, inizialmente introdotti nel campo del Natural Language Processing, si sono recentemente dimostrati estremamente efficaci anche al di fuori di questo settore, ottenendo un enorme - e forse inaspettato - successo nel campo della Computer Vision. I Vision Transformers e moltissime delle sue varianti stanno ridefinendo oggi lo stato dell'arte su molti task di visione artificiale, dalla classificazione di immagini fino ai sistemi di visione per la guida autonoma. Ma cosa sono i Transformers? In che cosa consiste il meccanismo della self-attention che è alla base del loro funzionamento? Quali sono i suoi limiti? Saranno in grado di rimpiazzare le famose reti convoluzionali che hanno, a loro tempo, rivoluzionato la Computer Vision? In questo talk cercheremo di rispondere a tutte queste domande, offrendo un'ampia panoramica sulle idee fondanti, sulle architetture Transformer più utilizzate, e sulle applicazioni più promettenti.
Continuous representations of words and documents, which is recently referred to as Word Embeddings, have recently demonstrated large advancements in many of the Natural language processing tasks.
In this presentation we will provide an introduction to the most common methods of learning these representations. As well as previous methods in building these representations before the recent advances in deep learning, such as dimensionality reduction on the word co-occurrence matrix.
Moreover, we will present the continuous bag of word model (CBOW), one of the most successful models for word embeddings and one of the core models in word2vec, and in brief a glance of many other models of building representations for other tasks such as knowledge base embeddings.
Finally, we will motivate the potential of using such embeddings for many tasks that could be of importance for the group, such as semantic similarity, document clustering and retrieval.
Presentation slide for AI seminar at Artificial Intelligence Research Center, The National Institute of Advanced Industrial Science and Technology, Japan.
URL (in Japanese): https://www.airc.aist.go.jp/seminar_detail/seminar_046.html
Theories of Learning, Emerging Technologies & Authoring Tools for Course Desi...Remo-tito Aguilar
In an environment where there’s rapid, cyclic emergence of DE technologies, theories of learning should guide our choice of tools in designing and developing elearning courses. On the other hand, theories of learning should also be enriched by practice of this authoring technologies
To those who want to know how Industry 4.0 began and why it began, an easy presentation highlighting all relevant points. There is a fundamental curiosity as to how it all started and where is it headed towards. And whether it will be useful. To those who are still waiting to accept the change, look at what happened to Nokia when the iPhone started. It is better to start implementing the small changes soon.
Word Embeddings, Application of Sequence modelling, Recurrent neural network , drawback of recurrent neural networks, gated recurrent unit, long short term memory unit, Attention Mechanism
https://telecombcn-dl.github.io/2018-dlai/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.
ONS Local has been established by the Office for National Statistics (ONS) to support evidence-based decision-making at the local level. We aim to host insightful events that connect our users with exciting developments happening in subnational statistics and analysis at the ONS and across other organisations.
On 28th June 2022, Census 2021 released their first results, followed by data covering eight topics and more recently launched a new ‘Create a custom dataset’ tool. We will take you through a tour of the products such as census maps, build a custom area profile, create your own custom dataset tool and pre-built tables, as well as census analysis plans and how you can carry out your own analysis using census data.
This event is open to all, however we anticipate it will be of most interest to anyone working at a local level on Census data or on any Census topics.
If you have any questions, please contact ons.local@ons.gov.uk
With the Census in England and Wales taking place on 21 March 2021, we created a programme of webinars to showcase our plans for design and quality assurance. The series, which was carried out through November and December 2020, included a high-level introductory overview as well as 'In Focus' sessions that outlined specific aspects in more detail. These webinars gave attendees the opportunity to ask questions and provide feedback.
Mrbml004 : Introduction to Information Theory for Machine LearningJaouad Dabounou
La quatrième séance de lecture de livres en machine learning.
Vidéo : https://youtu.be/Ab5RvD7ieFg
Elle concernera une brève introduction à la théorie de l'information: Entropy, K-L divergence, mutual Information,... et son application dans la fonction de perte et notamment la cross-entropy.
Lecture de trois livres, dans le cadre de "Monday reading books on machine learning".
Le premier livre, qui constituera le fil conducteur de toute l'action :
Christopher Bishop; Pattern Recognition and Machine Learning, Springer-Verlag New York Inc, 2006
Seront utilisées des parties de deux livres, surtout du livre :
Ian Goodfellow, Yoshua Bengio, Aaron Courville; Deep Learning, The MIT Press, 2016
et du livre :
Ovidiu Calin; Deep Learning Architectures: A Mathematical Approach, Springer, 2020
"Attention Is All You Need" Grazie a queste semplici parole, nel 2017 il Deep Learning ha subito un profondo cambiamento. I Transformers, inizialmente introdotti nel campo del Natural Language Processing, si sono recentemente dimostrati estremamente efficaci anche al di fuori di questo settore, ottenendo un enorme - e forse inaspettato - successo nel campo della Computer Vision. I Vision Transformers e moltissime delle sue varianti stanno ridefinendo oggi lo stato dell'arte su molti task di visione artificiale, dalla classificazione di immagini fino ai sistemi di visione per la guida autonoma. Ma cosa sono i Transformers? In che cosa consiste il meccanismo della self-attention che è alla base del loro funzionamento? Quali sono i suoi limiti? Saranno in grado di rimpiazzare le famose reti convoluzionali che hanno, a loro tempo, rivoluzionato la Computer Vision? In questo talk cercheremo di rispondere a tutte queste domande, offrendo un'ampia panoramica sulle idee fondanti, sulle architetture Transformer più utilizzate, e sulle applicazioni più promettenti.
Continuous representations of words and documents, which is recently referred to as Word Embeddings, have recently demonstrated large advancements in many of the Natural language processing tasks.
In this presentation we will provide an introduction to the most common methods of learning these representations. As well as previous methods in building these representations before the recent advances in deep learning, such as dimensionality reduction on the word co-occurrence matrix.
Moreover, we will present the continuous bag of word model (CBOW), one of the most successful models for word embeddings and one of the core models in word2vec, and in brief a glance of many other models of building representations for other tasks such as knowledge base embeddings.
Finally, we will motivate the potential of using such embeddings for many tasks that could be of importance for the group, such as semantic similarity, document clustering and retrieval.
Presentation slide for AI seminar at Artificial Intelligence Research Center, The National Institute of Advanced Industrial Science and Technology, Japan.
URL (in Japanese): https://www.airc.aist.go.jp/seminar_detail/seminar_046.html
Theories of Learning, Emerging Technologies & Authoring Tools for Course Desi...Remo-tito Aguilar
In an environment where there’s rapid, cyclic emergence of DE technologies, theories of learning should guide our choice of tools in designing and developing elearning courses. On the other hand, theories of learning should also be enriched by practice of this authoring technologies
To those who want to know how Industry 4.0 began and why it began, an easy presentation highlighting all relevant points. There is a fundamental curiosity as to how it all started and where is it headed towards. And whether it will be useful. To those who are still waiting to accept the change, look at what happened to Nokia when the iPhone started. It is better to start implementing the small changes soon.
Word Embeddings, Application of Sequence modelling, Recurrent neural network , drawback of recurrent neural networks, gated recurrent unit, long short term memory unit, Attention Mechanism
https://telecombcn-dl.github.io/2018-dlai/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.
ONS Local has been established by the Office for National Statistics (ONS) to support evidence-based decision-making at the local level. We aim to host insightful events that connect our users with exciting developments happening in subnational statistics and analysis at the ONS and across other organisations.
On 28th June 2022, Census 2021 released their first results, followed by data covering eight topics and more recently launched a new ‘Create a custom dataset’ tool. We will take you through a tour of the products such as census maps, build a custom area profile, create your own custom dataset tool and pre-built tables, as well as census analysis plans and how you can carry out your own analysis using census data.
This event is open to all, however we anticipate it will be of most interest to anyone working at a local level on Census data or on any Census topics.
If you have any questions, please contact ons.local@ons.gov.uk
With the Census in England and Wales taking place on 21 March 2021, we created a programme of webinars to showcase our plans for design and quality assurance. The series, which was carried out through November and December 2020, included a high-level introductory overview as well as 'In Focus' sessions that outlined specific aspects in more detail. These webinars gave attendees the opportunity to ask questions and provide feedback.
Join us for this ONS webinar with the Climate Change Coordination and Analysis team, in collaboration with the Integrated Data Service Dissemination team. It will showcase the latest version 2.0 of the UK Climate Change Statistics Portal, which launched on 27 October 2022.
Webinar: How Penton Uses MongoDB As an Analytics Platform within their Drupal...MongoDB
NorthPoint Digital worked with the Penton and MongoDB teams to deliver a MongoDB based solution, Govalytics, to serve city and county governments. We will review the design decisions made and steps taken to implement and integrate into the existing digital platform.
In the session, we will review:
How Govalytics fits into Penton's entire digital platform?
What were the business drivers for choosing MongoDB (with Product Owner testimony) and why it was so successful?
How NorthPoint Digital implemented a complete, highly interactive UX solution powered by MongoDB as part of an integrated solution and not just as a database
Roadmap for the future – how the solution was designed to be independently scalable
Closing plenary: the future of public sector websites #BPCW11Headstar
Closing plenary: 'The future of public sector websites', at Building Perfect Council Websites 11, 14 July 2011 #BPCW11 Speakers: Paul Davidson and Ingrid Koehler
ONS Local has been established by the Office for National Statistics (ONS) to support evidence-based decision-making at the local level. We aim to host insightful events that connect our users with exciting developments happening in subnational statistics and analysis at the ONS and across other organisations.
Have you ever wondered which local authorities are similar to each other? This presentation discusses cluster analysis ONS has published to draw insight into which local authorities are performing in a similar way against key policy themes, promoting greater joined up working between local authorities with similar characteristics to address common problems they face. Our analysis also provides local authorities with control groups for investigating the impact of policy interventions.
In this webinar, we will cover the methods used to create our outputs, demonstrate some of our findings in our interactive visualisation tool and present information on our future plans to expand on this work.
This event is open to all, however we anticipate it will be of most interest to anyone working at a local level, or with data on the policy themes of economy, transport connectivity, education, skills, health and wellbeing.
If you have any questions, please contact ons.local@ons.gov.uk
Cloudera Cares + DataKind | 7 May 2015 | London, UKCloudera, Inc.
Presented on 7 May 2015 in London, Cloudera Cares and DataKind talked about the following topics:
Cloudera Cares: How we've contributed to the community in 2014
Doug Cutting: PAX Data
Amr Awadallah: Cloudera Academic Partnership
Duncan Ross: DataKind UK Overview
Ian Ansell, Peter Passaro, Henry Simms, Billy Wong: Citizens Advice and DataKind
ONS Local has been established by the Office for National Statistics (ONS) to support evidence-based decision-making at the local level. We aim to host insightful events that connect our users with exciting developments happening in subnational statistics and analysis at the ONS and across other organisations.
In April 2022, as the impact of increases in the Cost of Living really came to the forefront, Public Health & Communities, Suffolk County Council published a Cost of Living profile as part of the Joint Strategic Needs Assessment.
Alongside a written Cost of Living report ‘Making ends meet: The cost of living in Suffolk’, an interactive dashboard was also created using Power BI. In addition to internal data flows, publicly available data from sources such as the ONS have been used to provide a rich picture of the current situation for the local community.
The dashboard was developed in order to:
• Provide up to date data and information on the Cost of Living for Suffolk County Council, partner organisations, and members of the public.
• Deliver an interactive tool to allow users to focus on areas most relevant to them.
• Demonstrate that, while increases in the cost of living affect everyone, impact will be greatest for those who are already under financial pressure, exacerbating inequalities.
• Provide a source of actionable insight to support the system with the evidence base needed to support project development, drive change and really make a difference in the community.
Features of the dashboard:
• Place-focused - published at smaller geographies where possible
• Collaborative - Includes local data from across the system such as data shared by Citizens Advice and other system partners.
• Automated - Most data sources have automated connections, meaning there is little manual intervention required.
• Self-Service - Making the report publicly available puts data at the fingertips of colleagues, system partners and members of the public.
• Live - The dashboard is a living report which is frequently updated.
This session will:
• Provide a demonstration of Suffolk County Council’s Cost of Living dashboard
• Give an overview of data sources
• Explore opportunities for automation using Power BI
• Discuss how the data dashboard is used locally
This event is open to all; however, we anticipate it will be of most interest to anyone working on cost of living dashboards at the local level.
If you have any questions, please contact ons.local@ons.gov.uk.
Data Visualization Trends - Next Steps for TableauArunima Gupta
Want answers to:
- What is data visualization?
- Why is it deemed disruptive in the field of analytics?
- What is Tableau?
Come view the slide deck!
Concludes with:
- Digital strategy recommendations for Tableau to become the winner in a winner-take-all-market
Tuesday 28 June, W3 - Sector self regulation and improvement - George Garlick lgconf11
This session will focus on the early lessons emerging from the implementation of the sector owned approach to self regulation and improvement – with a particular emphasis on the practicalities and benefits to be gained from sharing and comparing key performance data and the contribution peer challenge and support can make to improvement, in this case in regard to children’s services.
Speakers:
David Simmonds, London Borough of Hillingdon
George Garlick, Chief Executive, Durham County Council
Janette Karklins, Director of Children’s Services, Bracknell Forest Council
Chair: Cllr Jill Shortland, Vice Chair, Improvement Programme Board, LG Group
Video presentation for 100+ Indian civil servants, for www,cips.org.in in Hydrabad (IN) 25 February 2016. Part of 3 day workshop see http://bit.ly/21iO1Qb done.
This presentation covers the key question: Why dashboards? Local authorities and other public bodies have largely ended publishing reports and now produce dashboards. What are the factors that have contributed to this change?
This is the first presentation from our Workshop on 21 September 2023 on Dashboards, APIs and PowerBI.
ONS Local has been established by the Office for National Statistics (ONS) to promote evidence-based decision-making at the local level. We aim to host insightful workshops which will provide practical, technical support to help users make the most of ONS data. The Cross-Government Data Science Community brings together data scientists and analysts to build data science capability across the UK governments and public sector.
We are delighted to welcome you to our inaugural Workshop in our new series, entitled: 'How to use APIs'. The session will cover what Application Programming Interfaces (APIs) are, the advantages in using them and a practical demonstration of how they can be used. The journey of two Local Authority analysts as they begin using APIs in place of manual processes will be showcased to the audience. The session will conclude by explaining the plan for the forthcoming series of Workshops that will begin in September and introducing the Slack channel that ONS Local and Cross-Government DS community will be using to support users' technical questions going forward.
This event is open to all; however, we anticipate it will be of most interest to anyone working at a local level on creating data dashboards for internal or external use.
If you have any questions, please contact ons.local@ons.gov.uk.
ONS Local has been established by the Office for National Statistics (ONS) to promote evidence-based decision-making at the local level. We aim to host insightful workshops which will provide practical, technical support to help users make the most of ONS data. The Cross-Government Data Science Community brings together data scientists and analysts to build data science capability across the UK governments and public sector.
We are delighted to welcome you to our inaugural Workshop in our new series, entitled: 'How to use APIs'. The session will cover what Application Programming Interfaces (APIs) are, the advantages in using them and a practical demonstration of how they can be used. The journey of two Local Authority analysts as they begin using APIs in place of manual processes will be showcased to the audience. The session will conclude by explaining the plan for the forthcoming series of Workshops that will begin in September and introducing the Slack channel that ONS Local and Cross-Government DS community will be using to support users' technical questions going forward.
This event is open to all; however, we anticipate it will be of most interest to anyone working at a local level on creating data dashboards for internal or external use.
If you have any questions, please contact ons.local@ons.gov.uk.
ONS Local has been established by the Office for National Statistics (ONS) to promote evidence-based decision-making at the local level. We aim to host insightful workshops which will provide practical, technical support to help users make the most of ONS data. The Cross-Government Data Science Community brings together data scientists and analysts to build data science capability across the UK governments and public sector.
We are delighted to welcome you to our inaugural Workshop in our new series, entitled: 'How to use APIs'. The session will cover what Application Programming Interfaces (APIs) are, the advantages in using them and a practical demonstration of how they can be used. The journey of two Local Authority analysts as they begin using APIs in place of manual processes will be showcased to the audience. The session will conclude by explaining the plan for the forthcoming series of Workshops that will begin in September and introducing the Slack channel that ONS Local and Cross-Government DS community will be using to support users' technical questions going forward.
This event is open to all; however, we anticipate it will be of most interest to anyone working at a local level on creating data dashboards for internal or external use.
If you have any questions, please contact ons.local@ons.gov.uk.
ONS Local has been established by the Office for National Statistics (ONS) to support evidence-based decision-making at the local level. We aim to host insightful events that connect our users with exciting developments happening in subnational statistics and analysis at the ONS and across other organisations.
From 1 August 2019, the Secretary of State for Education delegated responsibility for the commissioning, delivery and management of London’s Adult Education Budget (AEB) to the Mayor of London. The AEB helps Londoners to get the skills they need to progress both in life and work. The overarching aim of London’s AEB is to make adult education in London even more accessible, impactful and locally relevant.
In this presentation, the Greater London Authority will be going through the results of the pioneering 2021/22 London Learner Survey (LLS). The survey’s objective is to gain insight into the outcomes of learners to inform and improve policy. The LLS consists of two linked surveys of learners who participated in GLA-funded Adult Education Budget (AEB) learning in the academic year 2021/22.
In the LLS, Learners are surveyed prior to and 5-7 months after completing their course to estimate the economic and social changes that learners experience following an AEB course.
In particular, the presentation will show the economic impact broken down by:
. Progression into employment
. Progression within work
. Progression into further learning.
The social impact will be explored by looking at changes in:
. Health and wellbeing
. Improved self-efficacy
. Improved social integration
. Participation in volunteering
The presentation will also cover how outcomes vary by funding type, breaking down the results by Community Learning and Adult Skills.
This event is open to all; however, we anticipate it will be of most interest to anyone working at a local level on skills, education and employment.
If you have any questions, please contact ons.local@ons.gov.uk.
ONS Local has been established by the Office for National Statistics (ONS) to support evidence-based decision-making at the local level. We aim to host insightful events that connect our users with exciting developments happening in subnational statistics and analysis at the ONS and across other organisations.
Are you interested in finding, visualising, comparing and downloading a wide range of geographically granular datasets in one place? If so, this webinar is definitely for you!
We will present ONS plans for the development of Explore Subnational Statistics (ESS), a public-facing digital service that will allow users to find out more about local areas across the UK.
We will retrace the main milestones in our journey to date, starting from the launch of ESS vision in the GSS subnational data strategy, then taking a closer look at the Subnational Indicators Explorer, and, finally, outlining a roadmap towards the Beta version of the service.
This event is open to all, however we anticipate it will be of most interest to anyone working at a local level, with data on the policy themes of economy, transport connectivity, education, skills, health and wellbeing, or interested in data visualisation products.
If you have any questions, please contact onslocal@ons.gov.uk
Many ways to support street children.pptxSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
A process server is a authorized person for delivering legal documents, such as summons, complaints, subpoenas, and other court papers, to peoples involved in legal proceedings.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
This session provides a comprehensive overview of the latest updates to the Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (commonly known as the Uniform Guidance) outlined in the 2 CFR 200.
With a focus on the 2024 revisions issued by the Office of Management and Budget (OMB), participants will gain insight into the key changes affecting federal grant recipients. The session will delve into critical regulatory updates, providing attendees with the knowledge and tools necessary to navigate and comply with the evolving landscape of federal grant management.
Learning Objectives:
- Understand the rationale behind the 2024 updates to the Uniform Guidance outlined in 2 CFR 200, and their implications for federal grant recipients.
- Identify the key changes and revisions introduced by the Office of Management and Budget (OMB) in the 2024 edition of 2 CFR 200.
- Gain proficiency in applying the updated regulations to ensure compliance with federal grant requirements and avoid potential audit findings.
- Develop strategies for effectively implementing the new guidelines within the grant management processes of their respective organizations, fostering efficiency and accountability in federal grant administration.
Russian anarchist and anti-war movement in the third year of full-scale warAntti Rautiainen
Anarchist group ANA Regensburg hosted my online-presentation on 16th of May 2024, in which I discussed tactics of anti-war activism in Russia, and reasons why the anti-war movement has not been able to make an impact to change the course of events yet. Cases of anarchists repressed for anti-war activities are presented, as well as strategies of support for political prisoners, and modest successes in supporting their struggles.
Thumbnail picture is by MediaZona, you may read their report on anti-war arson attacks in Russia here: https://en.zona.media/article/2022/10/13/burn-map
Links:
Autonomous Action
http://Avtonom.org
Anarchist Black Cross Moscow
http://Avtonom.org/abc
Solidarity Zone
https://t.me/solidarity_zone
Memorial
https://memopzk.org/, https://t.me/pzk_memorial
OVD-Info
https://en.ovdinfo.org/antiwar-ovd-info-guide
RosUznik
https://rosuznik.org/
Uznik Online
http://uznikonline.tilda.ws/
Russian Reader
https://therussianreader.com/
ABC Irkutsk
https://abc38.noblogs.org/
Send mail to prisoners from abroad:
http://Prisonmail.online
YouTube: https://youtu.be/c5nSOdU48O8
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Census 2021 Outputs
1. 1
Census 2021 Outputs
Welcome
Please turn off your camera and mute your microphone
Questions?
Visit www.sli.do and enter code 78579 to ask your questions
Technology problems?
Email sdr.stakeholder.engagement@ons.gov.uk
Starting at 10:45am
#Census2021 www.sli.do 78579
3. 3
Aims for this Session
• Share the lessons learnt from the 2011 Census, the 2018 Output
consultation and ongoing user research.
• Outline the proposed suite of Census 2021 outputs, products and services.
• Demonstrate how Census 2021 outputs and dissemination approaches will
be flexible, timely and accessible.
• Describe the methods for protecting confidentiality in Outputs
(statistical disclosure control).
• Consider how ONS and Census users can work together to assess the
impact of the coronavirus pandemic on using census outputs.
#Census2021 www.sli.do 78579
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Why are we running these webinars?
• To explain how the census works in collecting information
and producing great statistics.
• To sign-post where more information is available.
• To follow on from the material we published in October:
• COVID response
• Statistical Design
• Findings from 2019 rehearsal
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Census 2021 Quality Targets
High quality, flexible,
timely, accessible census
statistics for users
94% overall
response
At least 80% in
every local authority
75% Online
Response
Minimise variability
in response
Support
completion
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“The cost and effort of taking a census
is only worthwhile when the results are
provided to users in ways that they can
use the information to improve the
decisions they make…”
#Census2021 www.sli.do 78579
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Lessons from 2011
What went well
• 2011 Census outputs were the most
comprehensive to date.
• National Statistics accreditation went
smoothly.
• Technical support, statistical control,
and creation of products all went well.
What didn’t go so well, and lessons
• It took too long for all the outputs to be
released.
• Late changes to table specifications were
unwelcomed in terms of changes and
delays.
• Users wanted more flexibility to build tables
relevant to their area and characteristics.
• Not to overpromise and manage
expectations – both in terms of Outputs
and Systems to access them.
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2018 Output Consultation feedback
You told us:
• You support the strategy to disseminate census data using a flexible
dissemination system, and the associated statistical disclosure control approach.
This is for reasons of timeliness and flexibility.
• You would prefer a single point of access to census data, and options for
downloading large volumes of data.
• There is a clear need for data about income derived from administrative data
sources, especially at lower geographies to help users with analysis and service
delivery.
• There is an overwhelming need for timely and accessible origin-destination data.
#Census2021 www.sli.do 78579
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A new flexible, timely and accessible approach
to Census 2021 outputs
Flexible: A wider range of outputs to meet the needs of a greater
range of users. More control for users to create own outputs.
Timely: We aim to make outputs available sooner than for the 2011
Census.
Accessible: Available in ways that suit users needs, with supporting
information to enable understanding of the data.
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Comparison of Census outputs release: 2011 & 2021
Main area for improvement
compared to 2011
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Data Tables
• Bread and butter of Census Outputs.
• Produced since 1801.
• Single variable and cross-classifications of multiple variables.
• Historically constrained by the need to have tables that ‘work’
for all areas and to produce a set that best meets range of
different user needs.
• Are produced for a range of population bases (including the
usual resident population).
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Innovations for 2021
• Distinction of ‘ready-made’ tables along the lines of what
has traditionally been produced, with ability for users to
‘Build their Own’.
Data Tables
Ready
Made
Tables
Build Your
Own
Tables
Tables that
flex
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Ready made tables
• Similar in concept to those produced in 2011 and before.
• We’ll consult on them to agree table specifications.
• Current thinking is that we will propose a set based around the Local
Characteristic Tables, Key Statistics and Quick Statistics produced in 2011
(with additions and changes).
• The intention is that these tables would be made available for all geographic
areas at a particular level (i.e. ‘blanket’ coverage).
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Build Your Own Tables
• Users to request their own combinations of variables
to produce datasets that suit their particular needs.
• Likely to be similar classifications as those used in
Local and Detailed Characteristics tables in 2011.
• The tool builds tables very quickly and applies
disclosure control methods and checks automatically.
• Those checks determine the areas that the requested
table can be made available for– and tables for a
‘patchwork’ of areas can be produced.
• This capability is now fairly mature and we have
proven it as part of rehearsal activities.
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Tables that flex
• This is more conceptual and not yet proven or
developed.
• The concept enables users to ‘flex’ a ready-made
table (for example to be able to increase the level of
detail of a variable in that table).
• We are particularly keen on user feedback on this
concept.
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Statistical Disclosure Control
• In order to be able to offer greater flexibility whilst maintaining the confidentiality of the
information provided, we will have a multi-layered approach to disclosure control.
1. Targeted Record
Swapping
2. Cell Key Perturbation
3. Automated Disclosure
Checks
Uncertainty
Protects unique individuals
and households
Noise
Protects against
differencing
Checks
Protects against sparsity
and disclosures
• In combination, these methods enable the provision of flexible outputs and for them to be
provided more quickly than before. This enables the provision of data using a ‘patchwork’
approach, in areas where the data supports that level of detail.
• The ‘cost’ is that there are small differences in tables (inconsistent totals).
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‘Bespoke, restricted or commissioned’
Origin -
Destination
Building on 2011 products with
increased focus on public
accessible products, as well as
the more detailed data tables.
Small Population
Outputs e.g.
Cornish, Sikh
Building on set of tables produced
from the 2011 Census and keen to
engage with stakeholders to
understand needs and design suitable
products.
Microdata
samples
SRS and UKDS
Plans are similar to 2011 with the addition
of a safeguarded household microdata file
and provision in IPUMS format.
Commissioned
Outputs
Continuation of existing service for
commissioning of Census outputs not
already made publicly available.
Improved offering
Bespoke, restricted or commissioned
Standard
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Richer content
• Arguably, even more opportunities for providing more value to
existing and new users through new and innovative products.
• Exploring changes both in products that could be provided and
also how they can be created.
Richer Content (words, pictures, insights)
Analysis Area Profiles
Area
Classifications
Data
Visualisations
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Census Analysis Aims
The Census Analysis Co-ordination team at ONS is responsible for managing the delivery
of an analytical work programme for Census 2021 across all census topic areas. This will
include combining Census data with other data where useful. An analysis plan is being
developed that to define this work with the following aims:
• Helping users understand and interpret the census data
• Meet requirements of our diverse range of users and stakeholders
• Provide a springboard for analyses by other organisations
• Inform government policy and public debate
• Deliver new outputs and products, using innovative methods
• Utilise all available sources to fill analysis gaps for our users
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Geography
Have your say
Geography policy, products and services consultation – open until 18 Dec 2020
• Intend to continue the use of Output Areas (OAs) and to best-fit to other geographies.
• As with previous censuses looking to keep change to OAs to under 5%.
• Splits and merges where OAs now break thresholds on population
size for 2021.
• Use of Admin data to predict where this will occur, to speed up process.
• Potential for additional targeted re-alignment to create a better fit to some wards and
parishes.
• Continuation of existing products such as Travel to Work areas and Area Classifications.
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Metadata
Information to support the data
• Range of types, from definitions through to detailed Quality reports.
• Keen to identify metadata needs early in the census consultation process.
• Looking to ensure products are timely, comprehensive and easily accessible.
• Exploring the use a centralised metadata storage and management solution for key
metadata.
• Improve UK harmonisation of metadata.
• Metadata will need to support the range of potential census output and analysis
products.
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Accessing Data
• Work taking place within ONS to determine the dissemination capabilities
that will be in place for the release of the 2021 Census Outputs.
This is based on extensive user research.
• We are yet to make formal decisions on the exact nature of systems that
will be used to provide access to the 2021 Census Outputs. Work is
currently taking place to ensure that Nomis would be available and able to
provide 2021 Census data (including flexible tables) to users, if required.
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Value of the census greater than ever
• As a snapshot the census data will paint the picture of our society at significant
point in time.
• That point in time also means it can provide an important baseline for expected
changes ahead. For example the impacts and recovery from the Covid-19
pandemic, and other events and initiatives such as Brexit and ‘Levelling-up’.
• We expect that the rate of change for some topics is likely to be higher than
usual in the intercensal period e.g. employment and health.
• We want to make best possible information available to support decision-
making:
• we will be exploring how we can use other survey and administrative sources with Census
data.
• opportunity to work with users to understand emerging needs.
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UK Outputs
• The need for information about UK outputs is understood and something we still aim to provide.
• The decision to move the Scotland Census to March 2022 does create some challenges:
• Minor impacts on England and Wales Outputs (e.g. workplace populations in some areas).
• Higher level of impact on plans for UK Outputs:
• Timing and scope.
• Particular issues UK Origin-Destination outputs – meaning we need to think more creatively.
• A UK Data User Group is being set up to ensure user input will inform decision making
on UK Census Outputs.
• Given the role of census data in the wider Population Statistics system (e.g. Population Estimates)
the impacts ripple wider than Census, most likely around the timing and ‘neatness’ of changes at the
UK level.
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Key Dates
Date Activity
November/December 2020 Formal consultation on Census 2021 Output Geography
21 March 2021 Census day in England and Wales
Spring/Summer 2021 Formal consultation on Census 2021 outputs
Autumn/Winter 2021 Publication of Outputs Prospectus (incl. indicative release timetable)
March 2022* Census First Release
March 2022* to March 2023* Release window of main Census 2021 outputs (England & Wales)
March 2023* Completion of main Census 2021 outputs (England & Wales)
Late 2023/ early 2024 Release of UK Census outputs
* Target dates
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Useful links
• Census 2021 Outputs webpages
• Register for Census 2021 updates via GovDelivery
• Take part in Census 2021 outputs user research by emailing:
census.outputs@ons.gov.uk
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Summary
• Timely outputs in more flexible and accessible ways.
• Accompanying disclosure control changes.
• Outlined ONS Census Analysis plans.
• Potential for ‘rich content’ products.
• A reminder of the opportunity to respond to the Census Geography
consultation.
• Plans for a full consultation on Census Outputs in Spring/Summer 2021.
• We want to work collaboratively with users throughout to ensure our Census
2021 products and the ways users access them meet needs.
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Census 2021 Outputs
Any questions?
Visit www.sli.do and enter code 78579
Please complete our evaluation survey (we will email you a link) and let us know how we did.
If you have any questions email us on SDR.stakeholder.engagement@ons.gov.uk.
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