Archive for the ‘labour markets’ Category

Pathways to Future Jobs

June 1st, 2020 by Graham Attwell
people, special, different

katielwhite91 (CC0), Pixabay

Even before the COVIP 19 crisis and the consequent looming economic recession labour market researchers and employment experts were concerned at the prospects for the future of work due to automation and Artificial Intelligence.

The jury is still out concerning the overall effect of automation and AI on employment numbers. Some commentators have warned of drastic cuts in jobs, more optimistic projections have speculated that although individual occupations may suffer, the end effect may even be an increase in employment as new occupations and tasks emerge.

There is however general agreement on two things. The first is that there will be disruption to may occupations, in some cases leasing to a drastic reduction in the numbers employed and that secondly the tasks involved in different occupations will change.

In such a situation it is necessary to provide pathways for people from jobs at risk due to automation and AI to new and hopefully secure employment. In the UK NESTA are running the CareerTech Challenge programme, aimed at using technology to support the English Government’s National Retraining Scheme. In Canada, the Brookfield Institute has produced a research report ‘Lost and Found, Pathways from Disruption to Employment‘, proposing a framework for identifying and realizing opportunities in areas of growing employment, which, they say “could help guide the design of policies and programs aimed at supporting mid-career transitions.”

The framework is based on using Labour Market Information. But, as the authors point out, “For people experiencing job loss, the exact pathways from shrinking jobs to growing opportunities are not always readily apparent, even with access to labour market information (LMI).”

The methodology is based on the identification of origin occupations and destination occupations. Origin occupations are jobs which are already showing signs of employment. Decline regardless of the source of th disruption. Destination jobs are future orientated jobs into which individuals form an origin occupation can be reasonably expected to transition. They are growing, competitive and relatively resilient to shocks.

Both origin and destination occupations are identified by an analysis of employment data.

They are matched by analysing the underlying skills, abilities, knowledge, and work activities they require. This is based on data from the O*Net program. Basically, the researchers were looking for a high 80 or 90 per cent match. They also were looking for destination occupations which would include an increase in pay – or at least no decrease.

But even then, some qualitative analysis is needed. For instance, even with a strong skills match, a destination occupation might require certification which would require a lengthy or expensive training programme. Thus, it is not enough to rely on the numbers alone. Yet od such pathways can be identified then it could be possible to provide bespoke training programmes to support people in moving between occupations.

The report emphasises that skills are not the only issue and discusses other factors that affect a worker’s journey, thereby, they say “grounding the model in practical realities. We demonstrate that exploring job pathways must go beyond skills requirements to reflect the realities of how people make career transitions.”

These could include personal confidence or willingness or ability to move for a new job. They also include the willingness of employers to look beyond formal certificates as the basis for taking on new staff.

The report emphasises the importance of local labour market information. That automation and AI are impacting very differently in different cities and regions is also shown in research from both Nesta and the Centre for Cities in the UK. Put quite simply in some cities there are many jobs likely to be hard hit by automation and AI, in other cities far less. Of course, such analysis is going to be complicated by COVID 19. Cities, such as Derby in the UK, have a high percentage of jobs in the aerospace industry and these previously seemed relatively secure: this is now not so.

In this respect there is a problem with freely available Labour Market Information. The Brookfield Institute researchers were forced to base their work on the Canadian 2006 and 2016 censuses which as they admit was not ideal. Tn the UK data on occupations and employment from the Office of National Statistics is not available at a city level and it is very difficult to match up qualifications to employment. If similar work is to be undertaken in the UK, there will be a need for more disaggregated local Labour Market Information, some of it which may already be being collected through city governments and Local Economic Partnerships.

CareerChat Bot

May 7th, 2020 by Graham Attwell
chatbot, bot, assistant

mohamed_hassan (CC0), Pixabay

Pontydysgu is very happy to be part of a consortium, led by DMH Associates, selected as a finalist for the CareerTech Challenge Prize!

The project is called CareerChat and the ‘pitch’ video above expalisn the ideas behind the project. CareerChat is a chatbot providing a personalised, guided career journey experience for working adults aged 24 to 65 in low skilled jobs in three major cities: Bristol, Derby and Newcastle. It offers informed, friendly and flexible high-quality, local contextual and national labour market information including specific course/training opportunities, and job vacancies to support adults within ‘at risk’ sectors and occupations

CareerChat incorporates advanced AI technologies, database applications and Natural Language Processing and can be accessed on computers, mobile phones and devices. It allows users to reflect, explore, find out and identify pathways and access to new training and work opportunities.

Nesta is delivering the CareerTech Challenge in partnership with the Department for Education as part of their National Retraining Scheme

  • Nesta research suggests that more than six million people in the UK are currently employed in occupations that are likely to radically change or entirely disappear by 2030 due to automation, population aging, urbanisation and the rise of the green economy.
  • In the nearer-term, the coronavirus crisis has intensified the importance of this problem. Recent warnings suggest that a prolonged lockdown could result in 6.5 million people losing their jobs. [1] Of these workers, nearly 80% do not have a university degree. [2]
  • The solutions being funded through the CareerTech Challenge are designed to support people who will be hit the hardest by an insecure job market over the coming years. This includes those without a degree, and working in sectors such as retail, manufacturing, construction and transport.

You can find out more information about the programme here: https://www.nesta.org.uk/project/careertech-challenge/ and email Graham Attwell directly if you would like to know more about the CareerChat project

Arts, Humanities and Social Science graduates are in demand

May 7th, 2020 by Graham Attwell
woman, library, books

Comfreak (CC0), Pixabay

As reported in FE News, a new report based on analysis by London Economic, ‘Qualified for the Future: Quantifying demand for arts, humanities and social science skills’ provides quantitative evidence for the employment benefits of studying the arts, humanities and social sciences at university.

The report finds that:  

  • Graduates of arts, humanities and social sciences are just as resilient to economic upheaval as other graduates and are just as likely to remain employed as STEM graduates during downturns
  • Looking at the total UK workforce, arts, humanities and social science graduates are just as likely to be employed as their STEM counterparts; the 2017 Labour Force Survey shows that 88% of HSS graduates and 89% of STEM graduates were employed in that year
  • Of the ten fastest growing sectors in the UK economy, eight employ more graduates from the arts, humanities and social science than other disciplines. They include the well-paid information and communication industry and finance sector
  • HSS graduates are the backbone of the economy, with the majority working in the UK services sector. The service sector accounts for 81% of the UK’s total economic output and is second only to the US in export value globally
  • HSS graduates will be essential to fill in the workforce gaps of the future, particularly those studying fine arts, history and archaeology, philosophy and theology, geography, sociology and anthropology
  • While the health sector is the dominant destination for recent STEM graduates, HSS graduates choose to work in a wide range of sectors across the economy, including financial services, education, social work, the media and creative industries.

I have long been dubious of what I see as an overemphasis on STEM subjects from an employment perspective and this report would seem to support such scepticism. And I can well understand the advantages HSS graduates may have in their flexibility and employment resilience.  However, one worry lies in that focus on jobs in the services sector. Obviously as a sector accounting for 81% of the UK’s total economic output, the sector is very broad and will include a spread of occupations. Many, I fear will be in lower paid and precarious employment.

Graduate Jobs

May 7th, 2020 by Graham Attwell

As reported by WONKHE, a survey of 1,200 final year students conducted by Prospects in the UK found that 29 per cent have lost their jobs, and 26 per cent have lost internships, while 28 per cent have had their graduate job offer deferred or rescinded. 47 per cent of finalists are considering postgraduate study, and 29 per cent are considering making a career change. Not surprisingly, the majority feel negative about their future careers, with 83 per cent reporting a loss of motivation and 82 per cent saying they feel disconnected from employers

Urban economies and the Covid 19 crisis

April 29th, 2020 by Graham Attwell
bicycle, vintage, street

3888952 (CC0), Pixabay

Been a while since I last posted here. It i s not that I have been inactive – far from it. It is just that either everyone else seemed to be saying what I wanted to say – and usually better and the strangely unsettling effect of the lockdown in Spain.

Any way I am back here writing again and with a lot of things to talk about.

One area of my work is the provision of Labour Market Information to support careers guidance, primarily in the UK. And just as in other areas of education careers guidance is fast moving online. However providing access to data about the jobs of the future is not an easy business. on the LMI for All database which I work with, only two months ago we published an update of our ‘Working Futures’ data, with projected employment up to 2030 in different jobs. Interestingly, it is the most popular of the ten or so different data sets we provide. But I seriously wonder how accurate that data is any longer.

I have been to a number of webinars about the future of employment and there is increasingly data and analysis coming out. I think one of the unknown factors (leaving aside the question of when a vaccine for Covid 19 might be available) is government policies and reactions to the deep recession sparked off by the pandemic. Policy not only includes direct support to industries, enterprises and individuals but also how the broader economy is regulated in the future (more on this in a future post).

Some of the best analysis of the labour market I have seen (at least for the UK) is from the Centre for Cities. In an article entitled “What does the C0vid 19 crisis mean for the economies of British cities and large towns?” they report that the impact of the pandemic varies in different locations.

  • Sales at non-grocery suppliers fell by around 45 per cent, compared to the same week of last year. Spending at grocery suppliers rose by 16 per cent, as people eat more at home.
  • Pretty university towns and cities have been hit twice – they have lost their students and their tourists. Oxford and Brighton saw massive spending falls – plummeting around 60 per cent compared to the same week last year;
  • The biggest falls have come in smaller tourist towns. Excluding grocery spending, Penrith in Cumbria has seen spending fall 82 per cent fall. Penzance, in Cornwall, has seen an 85 per cent drop;
  • The big cities have all suffered, but with significant variation. Leeds, Cardiff and Liverpool are down more than 30 per cent, but have done better so far than Sheffield and Nottingham – both down by around half;
  • London sales are down by 29 percent overall, but its figures are flattered by being a financial centre. Outside of the centre, spending is down by 40 per cent.
  • Areas with strong retail and wholesale industries, such as Peterborough, have also seen serious declines. Areas with lots of employment in coffee shops, restaurants and sports have also seen particular falls in sales – as have the areas around airports.
  • Local customers are critical. The strongest predictor of how well a neighbourhood’s businesses will do is what share of its old customer base lived nearby. Shops that rely on customers who travel more than a mile to get to them are doing worse.

The article draws particular attention to what they call the ‘localisation effect’. Quite simply how well or badly shops and businesses are doing depends on the percentage of their customers who live locally. Looking on from Spain, I wonder how much the move to out of twon shopping has effected the UK, where high streets were already in trouble before the lockdown. In Spanish cities the housing density is usually higher, with local shops and markets in easy reach for most purchases and probably more likely to survive. On the other hand the large numbers of small bars and terraces are being devastated by the crisis.

Anyway much more to come on this theme in next couple of weeks.

SMEs are not the same as large firms

December 18th, 2019 by Graham Attwell

Much of my work at the moment is focused in two different areas – the training and professional development of teachers and trainers for the use of technology for teaching and learning and the use and understanding of labour market data for careers counseling, guidance and advice. However as data increasingly enters the world of education, the two areas are beginning to overlap.

This morning I received an email from the European Network on Regional Labour Market Monitoring. Although the title may seem a little obscure, the network, which has been active over some time, organises serious research at a pan European level. Each year it selects a theme for research, publications and for its annual conference. Over the last year it has focused on informal employment. Next year’s theme is Small and Medium Enterprises (SMEs) which they point out can be viewed as perhaps the most vibrant and innovative area of the European economy. However, when it comes to researching and understanding SMEs it is not so easy

A number of European or national statistics exist to analyse SMEs’ but they generally use the same categories as for large firms and are, in general, constructed from a large firm perspective or in any case not from a framework based on SME characteristics. Many academic papers focusing on SMEs show that they cannot fully be understood using the same categories as with large firms. The general idea is that firstly, SMEs are same as large ones, just smaller. Secondly, the assumption that they will grow up to become Midcaps, then large firms, is incorrect. Torres and Julien (2005) start their article explaining that “Most, if not all, researchers in small business have accepted the idea that small business is specific (the preponderant role of the owner-manager, low level of functional breakdown, intuitive strategy, etc.)”. A 2019 French publication directed by Bentabet and Gadille tackles the issue of SMEs focussing on their specific “social worlds”, their “action models and logics”, while elsewhere the influences of institutional logics and multi-rationalities of SMEs have been considered. The entry of social worlds highlights the great diversity of micro-enterprises and SMEs, which often makes it difficult to analyse them. As a counterpoint, specific knowledge of these companies is required because they are at the heart of the debates on flexibility, labour market dynamics, skilled labour shortage and disruptions in the vocational training system.

SMEs will be the focus for the next Annual Meeting of the Regional Labour Market Monitoring to be held in September 2020 in Sardinia

Career Development: Identity, Innovation and Impact

September 17th, 2019 by Graham Attwell

On Thursday, 10th October 2019 I am delighted to be speaking at the conference on ‘Career Development: Identity, Innovation and Impact’ in Birmingham UK

The conference will focus on career development policies, research and practice for young people and adults. It will explore practical ways of harnessing individuals’ talents, skills and learning experiences in fast changing and uncertain labour markets. Here is the abstract for my presentation:

Graham Attwell, technical lead for the UK ‘LMI for All’ project (funded by the Department of Education and led by the University of Warwick, IER) will explain latest labour market intelligence/information developments applied in career education, guidance and counselling settings. He will reflect on the changing world of work and examine the impact of technology on the future labour market and implications of Automation and Artificial Intelligence (AI) on employment and the jobs of the future. He will consider how can we best advise young people and adults on courses and employment.

The conference, organised by Deirdre Hughes for DMH Associates, will be exploring the changing nature of identities on a lifelong basis, innovative ways of working with young people and adults in education, training, employment and other community settings. In times of austerity and the impact on services users, there becomes an urgent need to provide evidence on the impact of careers work.

Participants will also get the chance to hear about a series of recent international policy and research events and your own ‘Resource Toolkit’. It is, the conference newsletter says, an opportunity to acknowledge and celebrate innovative and impactful careers work.

Deirdre Hughes will be announcing ambitious plans to help inspire others to engage in career development policies, research and practice and saying more about what they are doing with their partners on careers work in primary schools, post-primary schools and colleges (city-wide approaches), youth transitions, evidence and impact approaches and adult learning both within and outside of the workplace. To receive regular copies of their newsletter go to http://eepurl.com/glOP2f.

Productivity, innovation, learning and ‘Place’

September 3rd, 2019 by Graham Attwell

Fig 7Antiguo-cauce-del-río-Turia-3The UK Centre for Cities has been undertaking a lot of interesting research on the future of cities. In a recent article on their website, they look at ‘why place matters when thinking about productivity. Productivity has been persistently low in the UK and the article discusses “‘Place’, one of the pillars of productivity identified by the Government’s Industrial Strategy” and how it interacts with the other four pillars – ‘People’, ‘Ideas’, ‘Business Environment and ‘Infrastructure’.

Perhaps not surprisingly they find that. city centres offer inherent advantages to some businesses compared to those offered by rural areas. They also draw on previous research in finding that “broadly speaking, density is good for innovation…. the proximity of researchers to each other through co-location improves quality of output. Our work also finds that jobs in city centres are more productive than their counterparts elsewhere” although this preference is not universal.

Infrastructure’ , they say, “is the pillar where the impact of ‘place’ is the most obvious. Proliferation of public transport systems is the most efficient solution to get people around in dense city centres where as a private car is the best way to travel in the countryside.”

However it is the people pillar that I find most interesting and where I disagree with the article. “For the ‘people’ pillar, ‘place’ is indiscriminate – skill levels are the biggest determinant of outcomes everywhere.” The research has been taking place as part of the government drive to develop Local Industrial Strategies in England. Yet I do not think ‘place’ can be reduced to providing skills training courses. Our work in the EU funded CONNECT project suggests that as important, if not more so, is the promotion of opportunities for learning, through networks of different organizations including both the public and private sectors. Such organisations embrace cultural and social activities and adult education as well as formal skills training. And especially in dense cities like Valencia or Athens informal learning taking place in public spaces is critical. Such public spaces are frequently under pressure  from developers and policies need to be developed to preserve and extend such places. Thus any policy which looks at productivity and skills needs to take a wider viewpoint and in relation to cities, consider how public places play a role in sharing knowledge and developing social innovation.

 

Travel to university time a factor in student performance

August 14th, 2019 by Graham Attwell

My summer morning’s work is settling into a routine. First I spend about half an hour learning Spanish on DuoLingo. Then I read the morning newsletters – OLDaily, WONKHE, The Canary and Times Higher Education (THE).

THE is probably the most boring of them. But this morning they led on an interesting and important research report. In an article entitled ‘Long commutes make students more likely to drop out’, Ana McKie says:

Students who have long commutes to their university may be more likely to drop out of their degrees, a study has found.

Researchers who examined undergraduate travel time and progression rates at six London universities found that duration of commute was a significant predictor of continuation at three institutions, even after other factors such as subject choice and entry qualifications were taken into account.

THE reports that the research., commissioned by London Higher, which represents universities in the city found that “at the six institutions in the study, many students had travel times of between 10 and 20 minutes, while many others traveled for between 40 and 90 minutes. Median travel times varied between 40 and 60 minutes.”

At one university, every additional 10 minutes of commuting reduced the likelihood of progression beyond end-of-first-year assessments by 1.5 per cent. At another, the prospect of continuation declined by 0.63 per cent with each additional 10 minutes of travel.

At yet another institution, a one-minute increase in commute was associated with a 0.6 per cent reduction in the chances of a student’s continuing, although at this university it was only journeys of more than 55 minutes that were particularly problematic for younger students, and this might reflect the area these students were traveling from.

I think there are a number of implications from this study. It is highly probable that those students traveling the longest distance are either living with their parents or cannot afford the increasingly expensive accommodation in central London. Thus this is effectively a barrier to less well off students. But it is also worth noting that much work in Learning Analytics has been focused on predicting students likely to drop out. Most reports suggest it is failing to complete or to success in initial assignments that is the most reliable predicate. Yet it may be that Learning Analytics needs to take a wider look at the social, cultural, environmental and financial context of student study with a view to providing more practical support for students.

I work on the LMI for All project which provides an API and open data for Labour Market Information for mainly use in careers counseling advice and guidance and to help young people choose their future carrers or education. We already provide data on travel to work distances, based on the 2010 UK census. But I am wondering if we should also provide data on housing costs,possibly on a zonal basis around universities (although I am not sure if their is reliable data). If distances (and time) traveling to college is so important in student attainment this may be a factor students need to include in their choice of institution and course.

 

Skills for Green Jobs

June 14th, 2019 by Graham Attwell


Addressing climate change and setting economies and societies more firmly onto a path towards a sustainable, low-carbon future is one of the defining challenges of our time. Such shift will entail far-reaching transformations of our economies, changing the ways we consume and produce, shifting energy sources, and leveraging new technologies.

The European Centre for Vocational Education and Training, Cedefop, has released a new report on Skills for Green Jobs. The report is based on country studies undertaken in collaboration with the International Labour Organization (ILO) in six countries (Denmark, Germany, Estonia, Spain, France and the UK) since 2010.

A key outcome, says CEDEFOP, is that countries vary in their approach to defining, classifying and collecting data on green jobs and skills. However, they have observed increased efforts are observed on data collection on developments in the ‘green economy’.

Since 2010, green employment trends have tended to parallel general economic trends. Carbon reduction targets and associated incentives and subsidies have been especially influential on green jobs and skills; other green policies, such as legislation to protect the environment, have also been important.

Although few countries have a strategy on skills for green jobs, “the updating of qualifications and VET programmes has soared, reflecting increased demand for green jobs and skills since 2010.” Updates mainly concern adding ‘green’ components to existing qualifications/programmes, since changes in skill demands are perceived more pertinent to including new green skills within existing occupations rather than the creation of new green ones.

 

More information is available in the CEDEFOP magazine promoting learning for work, Skillset and Match.

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    News Bites

    Graduate Jobs

    As reported by WONKHE, a survey of 1,200 final year students conducted by Prospects in the UK found that 29 per cent have lost their jobs, and 26 per cent have lost internships, while 28 per cent have had their graduate job offer deferred or rescinded. 47 per cent of finalists are considering postgraduate study, and 29 per cent are considering making a career change. Not surprisingly, the majority feel negative about their future careers, with 83 per cent reporting a loss of motivation and 82 per cent saying they feel disconnected from employers


    Post-Covid ed-tech strategy

    The UK Ufi VocTech Trust are supporting the Association of Colleges to ensure colleges are supported to collectively overcome challenges to delivering online provision at scale. Over the course of the next few months, AoC will carry out research into colleges’ current capacity to enable high quality distance learning. Findings from the research will be used to create a post-Covid ed-tech strategy for the college sector.

    With colleges closed for most face-to-face delivery and almost 100% of provision now being delivered online, the Ufi says, learners will require online content and services that are sustainable, collective and accessible. To ensure no one is disadvantaged or left behind due to the crisis, this important work will contribute to supporting businesses to transform and upskilling and reskilling those out of work or furloughed.


    Erasmus+

    The European Commission has published an annual report of the Erasmus+ programme in 2018. During that time the programme funded more than 23,500 projects and supported the mobility of over 850,00 students, of which 28,247 were involved in UK higher education projects, though only one third of these were UK students studying abroad while the remainder were EU students studying in the UK. The UK also sent 3,439 HE staff to teach or train abroad and received 4,970 staff from elsewhere in the EU.


    Skills Gaps

    A new report by the Learning and Work Institute for the Local Government Association (LGA) finds that by 2030 there could be a deficit of 2.5 million highly-skilled workers. The report, Local Skills Deficits and Spare Capacity, models potential skills gaps in eight English localities, and forecasts an oversupply of low- and intermediate -skilled workers by 2030. The LGA is calling on the government to devolve the various national skills, retraining and employment schemes to local areas. (via WONKHE)


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