Big Data to Resolve Youth Unemployment in Sri Lanka

By Kavindya Piyasumana | Published: 2:00 AM Sep 5 2020
Tech Talk Big Data to Resolve Youth Unemployment in Sri Lanka

By Kavindya Piyasumana

Youth unemployment is the situation of young people pursuing a profession but struggling to find a job; the UN defines the age range as being 15–24 years old. An unemployed individual is known as someone who does not have a job but is actively searching for a job.


 

Unemployed youth – usually classified as 16 to 25, are at risk in many countries. For most Organisation for Economic Co-operation and Development (OECD) nations, the projected youth unemployment is considerably higher than the general unemployment rate, 

and figures in other developing countries have increased after the global recession. Young people have experienced a severe crisis since the Great Depression in the wake of a global labour and housing scarcity and raise concerns that they are a ‘scarred group’ that is witnessing a dramatic decline in their financial well-being. Governments must counter the crucial transition for young people from school to jobs.

Youth unemployment is a severe and persistent problem in Sri Lanka, which is a significant cause of conflict in which turmoil. What is noteworthy about youth unemployment in Sri Lanka is that a large proportion of Sri Lankans are educated citizens.

 According to the Youth-Labour-Market-Assessment, 2018, the rate of youth unemployment ranges provincially from general unemployment – however, for seven of the nine provinces over 50 per cent. 

It is especially high in the Central, Southern, and Sabaragamuwa Provinces. Almost 50 per cent of unemployed youth have achieved their GCE Advanced Level standard as a proportion of total unemployment, which indicates that many young people have also attained a respectable degree of literacy. 

The problem of unemployment is now unequally distributed and legislative action is required to allow those who enter the workforce to successfully obtain jobs.

The high unemployment rate includes classes, era, geographic disparities, class, ethnicity, and disability treatment, following the National Action Plan for Youth Employment. 

Therefore, the shortcomings in the training system, the difficulties of transitioning from schooling to work, insufficient accessibility, and the demands of different types of occupations are significant considerations for availability. 

Online platforms will perhaps offer transparency and perspectives on educational potential and youth progress. First, data collection needs to be improved and analysis of these data needs to be improved as well. 

Therefore, in the end, decision-making must rely on the employability of the person in terms of his soft capabilities.

If digital technologies are more efficient in addressing day-to-day productivity challenges and more adaptable to different situations, we will progress to a stage where digital tools can be used to solve some of society’s toughest concerns, like schooling and/or jobs. 

Unemployment and capacity growth can be respected by offering an overview of individuals’ employability on a scale – by quantifying social entrepreneurship projects and sharing best practices.

 Larger social networking networks have achieved so, leading to increasingly competitive business trends, because they were integrated into advertising.

There is no doubt that our capacity to digitally track social interactions has driven the emergence of big data generation.

 It has recently created open social data of high spatio-temporal resolution that constantly advances the development of social sciences and takes its place in the public policy field. Yet, this economic growth was substantially sluggish and marginal.

 It is partly due to the long tradition of in-field theory-motivated knowledge processing, where evidence is used mostly for hypothesis checking rather than as a tool of concept and model construction. If analysts are not able to take full use of big data for other reasons, the problem is posed. 

At Silicon Valley Google NEXT 2018 conference, Harambee Youth Job Accelerator was only one of two groups on board. Google stressed Harambee’s usage of big data technology in unveiling digital development 

projects to solve real-world issues such as youth homelessness. Google also welcomed the 20,000 NEXT participants to join the Transforming Google Challenge which created innovative methods to measure Harambee’s impact.

 Harambee CEO Maryana Iskander said, “Harambee’s network is designed to break down the barriers that prevent marginalised youth from doing anything.” We are aggressively leveraging some of the world’s leading technologies, including a Google Cloud platform to allow state-of-the-art geo-location, data mining, and ‘algorithmic matching.’

Harambee has collected data from more than 1.4 million unemployed youth via digital platforms as well as on the mobile and directly to build its ‘employability map’ which provides opportunities for young people. 

Harambee offers South Africa’s largest collection of data on youth job trends. Evan Jones, Harambee CIO added: “Google’s support means a lot to us and helps us to be more open with employees while we aim to address the youth jobs problem in South Africa.

 However, this is a global task and Google Cloud Platform gives us a broad variety of resources and is committed to achieving our strategic priorities. This will expand its efforts by companies like Google to encourage half a million young unemployed South Africans to earn an income by 2022.

To create an intelligent city that encourages the creation of advanced AI, the Internet of Information and big data technology needs adequate infrastructure and, more specifically, maintaining adequate skills and technical. Young people are full of imagination and strength, rendering them the most enticing untapped potential community in an intelligent region.

 When we will leverage the digital transformation platform to support young people create highly technical interdisciplinary skills, we can improve jobs and increase salaries for young people in countries such as Sri Lanka, and will the migration of young people who search elsewhere for better prospects, setting a solid basis for the growth of a smart city (www.iiiedu.org.tw, 2019).

By Kavindya Piyasumana | Published: 2:00 AM Sep 5 2020

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