SkillLab, connecting people, education and jobs - Simon Schmid

Find out more at https://www.oecd.org/en/events/2024/07/skills-without-colours-how-to-navigate-the-green-transition-in-local-labour-markets.html

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Connecting people, education and jobs

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OUR COMPANY
SkillLab is an impact business working with
organizations around the World. We empower
employment, training & career service providers
with technology that creates equitable labor
markets through the universal language of skills.
Our modular solution helps our partners better
understand people’s unique experience, using
artificial intelligence to create an accessible profile
of their skills. Based on this profile, we connect
people, jobs and education.

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The Just Skills Hub
The Just Skills Hubis led by founding technical
partner SkillLab and convened with the support of
the United Nations High Level Champions for
Global Climate Action.
The Hub aims to establish a multi-stakeholder
ecosystem for planning and action to realize
inclusive and equitable workforce transitions.

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SkillLab platform
Flexible, configurable and customizable platform

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How is the green transition
transforming local skills demand?

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Determining skills demand
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Method
Determining skills
demand through
occupation outlooks
Determining skills
demand through job
postings
Determining skills
demand based on expert
opinion
Approach
Forecast employment
change by occupation,
then map to skills
Tag skills via NLP semantic
search and match in free text to
desired level of analysis
Collect expert
opinion on the
demand for skills
or occupations
Data required
Occupation-derived data using
taxonomies
Online job posting–derived dataN/A
Key benefits
Easy to use; enables use of
widely available labour market
data (e.g. Labour Force Surveys)
Pulls skills information from
the source, not through proxy;
new data updated regularly
Can account for broad
trends, foreseeable
disruptions anddifficult to-
quantify expectations
Key drawbacks
Skills are staticallytied to each
occupation; time-lag in
occupation -skills matrix
adjustment
Important data limitations;
methodologies untested
Reliant on experts’ opinion;
often focused on subset of skill
drivers (e.g. automation); skills
are not necessarily tied to
taxonomy

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International Labour Organization
“No single methodology can generate sufficient
knowledge of labour markets, the right mix and
complementarity of different methods is essential
to gain a reliable and comprehensive overview of
skills demand.”

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Living taxonomies address drawbacks of different methodologies
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Method
Determining skills
demand through
occupation outlooks
Determining skills
demand through job
postings
Determining skills
demand based on expert
opinion
Key benefits
Easy to use; enables use of
widely available labour market
data (e.g. Labour Force Surveys)
Pulls skills information from
the source, not through proxy;
new data updated regularly
Can account for broad
trends, foreseeable
disruptions anddifficult to-
quantify expectations
Key drawbacks
Skills are staticallytied to each
occupation; time-lag in
occupation-skills matrix
adjustment
Important data limitations;
methodologies untested
Reliant on experts’ opinion;
often focused on subset of skill
drivers (e.g. automation); skills
are not necessarily tied to
taxonomy
“Living” taxonomies can make methodologies interoperable

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Skill Surveys
Defining the skills needed in “Green” Occupations
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OUR APPROACH
Our award-winning artificial intelligence developsuser-
verified skill data forpeople, employers andeducation
providers. The skill data connectspeople, jobs and
education, while updating and localizing skill and
occupation taxonomies.
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A SOLUTION FOR CONNECTED SKILLS-FIRST LABOR MARKETS
Enabling all labor market stakeholders to connect and adopt a skills-first approach
People
Employers
Education
Providers
Government
Employment
Intermediaries

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COLLECTING SKILL DATA AT THE SOURCE
Enabling all labor market stakeholders to connect and adopt a skills-first approach
People
●Survey workers on their skills from
standardized taxonomies
●Determine the skills employees use in
their day to day
●Gain structured insights into skill the
skill requirements of occupations
People
Employers
Government
Subject Matter
Experts

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COLLECTING SKILL DATA AT THE SOURCE
Enabling all labor market stakeholders to connect and adopt a skills-first approach
Employers
●Survey skill and occupation demand
from employers
●Connect the skill expectations of
employers to their occupations
●Prepare employers for skills-based
hiring
Employers
People
Government
Job Seekers
Subject Matter
Experts

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COLLECTING SKILL DATA AT THE SOURCE
Enabling all labor market stakeholders to connect and adopt a skills-first approach
Subject Matter Experts
●Collect data from subject matter
experts on emerging occupations
●Collect data on the skills that
experts deem necessary
●Gain insights into the effect of larger
trends on the labor market
Subject Matter Experts
People
Government
Job Seekers
Employers

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COLLECTING SKILL DATA AT THE SOURCE
Enabling all labor market stakeholders to connect and adopt a skills-first approach
Government
●Understand the skill requirements of
different occupations
●Understand skill supply and demand
at the local level
●Build a future-ready workforce
Government
PeopleJob Seekers
Employers
Subject Matter Experts

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EBRD & Egyptian Ministry of International Cooperation
Case Study
Provide a in-depth analysis of the skills
needs of the green sector of the country.
Map in demand occupations, with a
particular focus on green occupations
and emerging renewable energy sector.
Calculate the skills-gaps and determine
adequate pathways to transition people.
Involve the local skills ecosystem for
sustainable results.
Development and provision of skills-
survey tools.
Definition and optimisation of invitation
and collaboration channels.
Data Analysis and Gap Analysis
Integrate local labor market information
to inform demand
Objectives Solution Key Stats/Highlights
Interviewed
workers and
employers
3000
Defined emerging
occupations
150
Enabling a future-proof workforce
Powering the green transition

17. Connecting People. Jobs. Education.