The slowdown in progress on poverty reduction since 2015 has been further set back by the COVID-19 pandemic, with the global rate of extreme poverty rising in 2020 for the first time in over 20 years. The triple threat of COVID-19, conflict and climate change makes the global goal of ending poverty by 2030 unachievable unless immediate and substantial policy actions are taken. The COVID-19 crisis has demonstrated the importance of social protection systems for protecting health, employment and income, with many new social protection measures introduced in 2020 as a result. However, 4 billion people worldwide are still without any social protection, most of whom are poor and vulnerable. Compounding the threats to poverty eradication posed by climate change and conflict, the pandemic is set to increase the number of poor people in 2020 by between 119 and 124 million, causing the extreme poverty rate to rise for the first time in a generation, from 8.4 per cent in 2019 to 9.5 per cent in 2020 according to “nowcasts”. Of the “new poor”, 8 out of 10 are in middle-income countries and territories. It is predicted that around 600 million people will still be living in extreme poverty by 2030.
Below is an aggregation of all the assessments made for my projects on the current goal, these assessments aim to expose potential positive and negative impacts of the projects on the achievement of this SDG.
As a young freelance, entrepreneur I have yet to directly invest in the accomplishment of Goal 1. Through a number of projects I have indirectly, positively impacted the progress of this goal. I have delegated and managed work off-shore through platforms such as Fiverr, working with professionals around the world and providing equal opportunity across the globe.
This section is an integrations with Serintago, this is an experimental AI tool that I am currently developing that aims to assess the impact of projects and project portfolios (including individual assets and deliverables), organisations as a whole, and funds and fund portfolios. Below is an aggregation of all the assessments made for my projects on the current goal, these assessments aim to expose potential positive and negative impact of the project on the its achievement. Serintago is experimental, data and suggestions may not be accurate. While I will do my best to fine tune the AI models I am working with, and therefore refine the output, the following information should only be taken as suggestions and do not reflect the real world impact of my projects or the clients I have worked with.
Below is a list of targets for this goal, these were obtained directly from the UN Statistics API.
Below is a curated list of my projects where a notable impact has been identified on the current goal.
As I strive to further develop my commitment and contributions across all 17 SDGs the links suggested below may at first seem weak. My aim here is to give both the the positive and negative impact assessments equal and fair treatment. My hope is to provide guidance, both to myself and others, when considering similar projects in the future - providing an opportunity to mitigate potential negative and strengthen potential positive impacts ahead of implementation.
Nonetheless, I am human and my application, Serintago operates using several AI models that introduce their own biases - I hope to reduce this as I begin to build training data for my own purpose built model to support Serintago's expansion. Should you notice anything that doesn't quite seem right, please feel free to use the Get in Touch page to reach out.
If what you see below speaks to you, and you would like to discuss a project, idea, or research related to this SDG or any other, you are also very welcome to get in touch. I will be preparing a through leadership series aimed at promoting education for sustainable development (SD) and global citizenship by promoting case studies exposing challenges and setbacks, opportunities and breakthroughs facing SMEs across Europe.