The document discusses the seven domains that make up the Indices of Multiple Deprivation: Income, Employment, Health and disability, Education skills and training, Barriers to Housing and Services, Living environment, and Crime. Each domain measures a different type of deprivation experienced by people in an area, such as income deprivation, employment deprivation, barriers to health services, education levels, housing affordability, living conditions, and crime rates. There are 32,482 local super output areas ranked from most to least deprived based on their composite score from the seven domains.
Aula sobre bens virtuais ministrada para o curso de Comunicação Digital da Unisinos.
Aborda uma pesquisa sobre bens virtuais (detalha como foi feita) e principais conceitos desenvolvidos.
Aula sobre bens virtuais ministrada para o curso de Comunicação Digital da Unisinos.
Aborda uma pesquisa sobre bens virtuais (detalha como foi feita) e principais conceitos desenvolvidos.
Some communities are much better equipped than others to shape the area they live in and to use the new opportunities that the Localism agenda affords to co-design and deliver public services. Whether in terms of human and financial capital or levels of volunteering and prevalence of voluntary organisations, it is the more affluent neighbourhoods and communities that have a head start. If we disregard this fact, the whole localist agenda could inadvertently exacerbate existing inequalities rather than closing the gap.
English Indices of Deprivation 2019 (IoD2019) - Digging the DataOpen Data Manchester
Slides by Bowie Penney (Ministry of Housing, Communities and Local Government.) for Open Data Manchester's 'Digging the Data event on 8th October 2019.
International Journal of Humanities and Social Science Invention (IJHSSI)inventionjournals
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Some communities are much better equipped than others to shape the area they live in and to use the new opportunities that the Localism agenda affords to co-design and deliver public services. Whether in terms of human and financial capital or levels of volunteering and prevalence of voluntary organisations, it is the more affluent neighbourhoods and communities that have a head start. If we disregard this fact, the whole localist agenda could inadvertently exacerbate existing inequalities rather than closing the gap.
English Indices of Deprivation 2019 (IoD2019) - Digging the DataOpen Data Manchester
Slides by Bowie Penney (Ministry of Housing, Communities and Local Government.) for Open Data Manchester's 'Digging the Data event on 8th October 2019.
International Journal of Humanities and Social Science Invention (IJHSSI)inventionjournals
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Poverty is scarcity, dearth, or the state of one who lacks a certain amount of material
possessions or money. It includes low incomes and the inability to acquire the basic
goods and services necessary for survival with dignity
According to Mobile Orshansky who developed the poverty measurements used
by the U.S. government, “Poor is to be deprived of those goods, services and
pleasures which others around us take for granted.”
According to David Kurten, Poverty also involves social disintegration and
environmental degradation which he describes as forming the threefold human
crisis in the world today
This paper studies the determinants of personal income including the returns to education. In the process this paper estimates how incomes are affected by characteristics such as gender, caste, language etc. Using a maximum likelihood probability model, private returns to education are estimated using data from a Ministry of Finance Survey on Incomes and Savings conducted in 2004-05. We find that greater levels of education increase both the likelihood of being employed as well as the income earned from work. However, the returns from elementary (primary and middle) education are quite low. We also find that ceteris paribus women, lower social groups, rural residents, non-English speakers have both significantly lower incomes and significantly lower likelihood of being employed. Our results indicate that education should be geared towards ensuring flexibility in the students’ occupational choices.
Conclusion
Using a recently made available data on incomes we analyze how a range of household, individual and educational factors affects incomes. We find that the data for India show similar patterns as found for other countries, however the quantum differs. The key results are as follows:
Non-education characteristics
Individuals from SC and ST households are likely to have about 10 percent lower incomes than those from non-SC/ST households everything else remaining the same.
Women’s incomes are likely to be about a third lower than males having the same household and educational characteristics. They are also much more likely to be unemployed than males.
Those who are currently married are likely to have higher incomes and higher likelihood of being employed. Other results also indicate an interesting association between the marriage and labour markets.
Knowledge of the English language has a significant impact on incomes. Incomes of those who have knowledge of the language are between 18 to 22 percent higher depending upon whether they can merely understand or converse in it.
We also find that occupation effects are highly significant and explain a significant part of the income variations.
Education characteristics
Compared to illiterates those who have completed primary have 50% greater incomes, those who have completed middle school have incomes greater by 75%, those who have completed schooling have incomes greater by 172%, graduates by 278% and professional courses by 356%
After correcting for household and individual characteristics and state effects, compared to illiterates those who have completed primary have 31% greater incomes, those who have completed middle school by 45%, those who have completed schooling by 89%, graduates by 136% and professionals by 171%
After also including fixed occupation effects, compared to illiterates those who have completed primary have incomes greater by 15%, those who have completed middle school by 21%, those who have completed schooling by 42%, graduates by 69% and professional courses by 97%.
In other words, we find that the returns to greater education increase significantly as the level of education increases. This would be fine if the returns at the lowest level were high. However that is not the case and may be an important reason behind the high drop out rate. We also find evidence that there are significant rigidities in the labour market in the sense that household and occupational factors explain much of the variance in incomes. With greater education one may be able to break these rigidities, however, that requires children to remain in school.
For educational policy the message is quite clear: Quality of delivery, and content that enables flexibility in later occupational choice. This will ensure that rational children can expect to gain from the benefits of formal education, and therefore also remain in school longer.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Indices of multiple deprivation
1. Indices of Multiple Deprivation
Income
The purpose of this Domain is to capture the proportions of the population experiencing income deprivation in an area.
Employment
This Domain measures employment deprivation by considering people of working age who are involuntarily excluded from the
world of work, either through unemployment, ill health or family circumstances.
Health and disability
This Domain identifies areas with relatively high rates of people who die prematurely or whose quality of life is impaired by poor
health, or who are disabled, across the whole population.
Education, skills and training
The purpose of the Domain is to capture the extent of deprivation in education, skills and training in a local area. The indicators
fall into two sub-domains: one relating to lack of attainment among children and young people and one relating to lack of
qualifications in terms of skills. These two sub-domains are designed to reflect the ‘flow’ and ‘stock’ of educational
disadvantage within an area respectively. That is, the children/young people sub-domain measures the deprivation in the
attaining of qualifications, while the skills sub-domain measures the deprivation in the resident working age adult population.
Barriers to Housing and Services
The purpose of this Domain is to measure barriers to housing and key local services. The indicators fall into two sub-domains:
‘geographical barriers’ and ‘wider barriers’ which includes issues relating to access to housing such as affordability.
Living environment
This Domain focuses on deprivation in the living environment. It comprises two sub-domains: the ‘indoors’ living environment
which measures the quality of housing and the ‘outdoors’ living environment which contains two measures about air quality and
road traffic accidents.
Crime
This Domain measures the rate of recorded crime for four major crime themes – burglary, theft, criminal damage and violence -
representing the occurrence of personal and material victimisation at a small area level.
There are 32,482 LSOAs in England.
The LSOA ranked 1 by the IMD 2007 is the most deprived and that
ranked 32,482 is the least deprived.