April 11 G20 Presentation - IDB and LinkedIn
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The document summarizes a workshop held by the G20 on building opportunities for an inclusive future of work. It discusses challenges with traditional workforce data sources and opportunities provided by new sources like LinkedIn. It outlines a partnership between LinkedIn and the IDB to provide data insights on emerging jobs, skills, and talent migration trends in G20 countries including Argentina. The summary identifies key participants, their roles, and an action plan to address data shortages and guide education and training strategies.
April 11 G20 Presentation - IDB and LinkedIn
- 1. G20 WORKSHOP Building Opportunities for an Inclusive Future of Work 11/04/2018 WORKSHOP | BUENOS AIRES
- 2. Beatriz Nofal Argentina G20 Sherpa (2017) Nate Williams LinkedIn Head of Civic Engagement Nick Eng LinkedIn Senior Data Scientist * We are grateful for the professional collaboration of Beatriz Nofal, T20 member, in this project and
- 3. The Future ofWork is now However the rate of change threatens to outpace the availability of workforce data and insights Traditional data sources help The structure and coverage of survey and administrative data is essential, but limitations exist Consider non-traditional data sources Seek partners who can provide a complementary and detailed picture of the workforce and economy Executive Summary
- 4. Future of Work ARGENTINA’S GLOBAL LEADERSHIP “There is a dramatic shortage of information and data about the exact state of the workforce and automation.” 4 “Policymakers are flying blind into what has been called the fourth industrial revolution.” -Tom M. Mitchell, Carnegie Mellon University -Erik Brynjolfsson, MIT
- 5. Future of Work ARGENTINA’S GLOBAL LEADERSHIP “Between 75 and 375 million workers will transition from obsolete occupations to new ones by 2030.” 5 “The need for better data amounts to an opportunity for government statistics agencies to collaborate with online sources of data, including job boards, professional sites such as LinkedIn, and private tech companies, to obtain a more detailed and accurate picture of jobs, skills, wages, and individual mobility and career moves.”
- 6. Future of Work ARGENTINA’S GLOBAL LEADERSH “The G20 should help ensure that technological change will not increase exclusion or social disintegration. Education is at the centre of this debate: the future will require substantial investment in training and updating skills.” - President Mauricio Macri 25 January, 2018 | World Economic Forum 6
- 7. Labor Market Information - Context 7
- 8. Survey and Administrative TRADITIONAL DATA SOURCES 8 Surveys Periodic, examples include census, household and occupational and skill taxonomies. See US Bureau of Labor Statistics examples on left Administrative Batch process or near real-time. Includes education records, tax records, social security records, unemployment insurance. Used to measure Macro trends in industries, Statistics about workers, employment, and occupations, generally at national levels
- 9. Public Occupational Taxonomies Can be Powerful O*NET AND ESCO ARE LEADING EXAMPLES- CAN BE INTEGRATED INTO A WIDE VARIETY OF RELATED WORKFORCE AND EDUCATION APPLICATIONS
- 10. Frequency Current data collection and processing often results in multi-year lags in reporting, missing new skill developments Detail Granular information about skills is is needed to guide education and training is difficult to access, especially at a local level Cost Employer surveys are costly to implement repeatedly and at scale We need access to better information…
- 11. “Machine Learning” skill matches… LIMITATIONS 11 • MachineTooling? • Amusement Machine Servicers? • KindergartenTeachers? • Sewing Machine Operators?
- 12. Complementary Data NEW SOURCES 12 ConsumerTechnology companies with billions of collective users now offer applications designed to help employers and workers find talent and opportunity. The aggregate activities of both employers and workers on these sites is a potential source of new data insights for policymakers.
- 14. The world’s largest professional network 143M+ United States 14M+ Canada 30M+ Brazil 11M+ Mexico 6M+ Colombia 4M+ Chile 6M+ Argentina 90M+ Europe 6M+ South Africa 1M+ Kenya 1M+ Nigeria 2M+ Egypt 2M+ Saudi Arabia 1M+ Israel 6M+ Turkey 1M+ Morocco 45M+ India 36M+ China 1M+ Hong Kong 1M+ Republic of Korea 1M+ Japan 9M+ Australia 1M+ New Zealand 5M+ Philippines 9M+ Indonesia3M+ Malaysia 2M+ Singapore 14
- 15. Members Companies Jobs Skills Schools Knowledge 15
- 17. Advantages of LinkedIn Data Compare hundreds of countries and cities Global Breakdown by location, industry, function, etc. Granular Members constantly update their profiles Real-Time Monitor data – like migration patterns – over time Historical 17
- 18. 18 World Economic Forum Partnership “On average, gender inequality is getting worse globally but the average hiring of women in India increased by six percent on average” “Trending professions on the continent include the creative industries, food technologists, 3D designers, data centre workers and care, education and health workers” “Across diverse fields of study, there are certain core, cross- functional skills that underpin a career like interpersonal and basic technology skills”
- 19. Research Based On LinkedIn Data 19
- 20. 20 Overview We analyzed hiring data based on member profiles from 2008 – 2017 to understand: 1. What are the most emerging and declining roles? 2. What are the skills most associated with these roles? 3. For declining skills, how transferable are they to other areas? 4. For emerging occupations, how is talent migrating across the world? Our data reflected 275 occupations from LinkedIn’s taxonomy and included 10 countries from around the world in our analyses: Argentina, Australia, Brazil, Chile, France, India, Mexico, South Africa, the United Kingdom, and the United States
- 21. 21 Hiring Trends Across LinkedIn’s Data • Through the lens of LinkedIn’s data, we see differentiation across countries between the trends of different occupations • From these trends we can identify the most emerging or the most declining occupations • Hiring trends to the left are smoothed with a linear regression to reduce noise in our analysis
- 22. 22 Emerging and Declining Occupations – Argentina
- 23. 23 Emerging and Declining Occupations – India
- 24. 24 Emerging and Declining Occupations – United Kingdom
- 25. 25 Emerging and Declining Occupations – United States
- 26. 26 Emerging Occupations across Countries • Business Strategists, Consultants, and Software Developers are emerging in almost all countries analyzed • Regional variation is apparent: • Recruiters are on the rise in all regions except LATAM • Entreprenuership (Owners / Founders) is on the rise particularly in LATAM • Expected trends are observed as well, such as Software Developers in India
- 27. 27 Declining Occupations across Countries • Accountants, Administrative Employees, and Information Technology Consultants are declining in almost all countries analyzed • Some decline is observed in non-knowledge worker roles as well, such as Mechanic and Maintenance Tradespeople and Technicians in Australia, US, South Africa, and LATAM
- 28. 28 Talent Migration – Argentina • Members’ work and location history provide a unique look at how talent flows across borders by region • Talent flow information can also show the flow of skills and occupations from region to region
- 29. 29 Emerging Talent Migration – Argentina • Top 10 Emerging Occupations: • Software Developer • Legal Administrative Professional • Social Media Specialist • Owner / Founder • Creative Designer • Journalist • Consultant • Food Service Professional • Business Strategist • Architect
- 30. 30 Emerging Talent Migration – Australia • Top 10 Emerging Occupations: • Business Strategist • Consultant • Software Developer • Owner / Founder • Food Service Professional • Marketing Specialist • School Teacher • Legal Administrative Professional • Recruiter • Social Media Specialist
- 31. 31 Emerging Talent Migration – South Africa • Top 10 Emerging Occupations: • Software Developer • Owner / Founder • Consultant • Research Fellow • Marketing Specialist • Business Strategist • Business Development Spcialist • Social Media Specialist • Recruiter • Contract worker
- 32. 32 Emerging and Declining Skills Based on LinkedIn’s taxonomy of ~30,000 skills, we can associate each occupation with it most relevant skillset and then identify the most emerging and declining skills. Most Emerging Skills Most Declining Skills
- 33. 33 Transferability of Skills • Transferable skills are better able to withstand labor market disruptions in a dynamic, digital economy • The higher the index, the more transferable the skill • Having transferable skills may be key to reskilling workers in declining occupations Skill: React.js Primary Industry: Information Technology & Services Skill: Instagram Primary Industry: Marketing and Advertising Skill: Financial Audits Primary Industry: Accounting Skill: Manufacturing Operations Management Primary Industry: Automotive Skill: Professional Liability Primary Industry: Insurance Skill: Sales Management Primary Industry: N/A Skill: Teamwork Primary Industry: N/A Skill: Data Science Primary Industry: Information Technology & Services
- 34. Consider non-traditional data sources Seek partnerships to provide a complementary and detailed picture of the workforce, skills and economy Invest in traditional data sources Create new infrastructure to make survey and administrative data interoperable and available across government agencies. (e.g. labor and education ministries) Start now Solve the information shortages in the job market by employing real-time, granular data to make better decisions in education, and training strategies. The Path Forward
- 36. PROJECT ROLES AND RESPONSIBILITIES Team Member Key Responsibility Esteban Eseverri Chair of 2018 G20 Employment Working Group, Ministry of Labor. Project sponsor. Alejandra Kern G20 Coordinator, Ministry of Labor. Key liaison between IDB/LinkedIn and G20 Employment Working Group. Barbara Perrot G20 Assistant, Ministry of Labor. Key project liaison with G20 Employment Working Group. Beatriz Nofal Main Project Advisor and Collaborator. Economist. T20 member and former Argentina G20 Sherpa. Fernando Landa Policy Sherpa B20. Key liaison between IDB/LinkedIn insights project and B20 Engagement Group. Nick Eng Data Scientist, LinkedIn. Principal investigator of data insights in select LAC and G20 countries. Nate Williams Project Manager. Principal representative from LinkedIn to IDB, G20 and B20 groups. Carmen Pages Head of Labor Markets Division at IDB. Economist and project sponsor. Graciana Rucci Lead Specialist, Labor Markets Division at IDB. Economist and key project liaison. Nicole Amaral Member, Labor Markets Division at IDB. Political Economy Specialist and project collaborator. Carolina Gonzalez Labor Market Specialist, Labor Markets Division at IDB. Economist and project collaborator. Carlos Ospino Member, Labor Markets Division at IDB. Economist and project collaborator. Laura Ripani Lead Specialist, Labor Markets Division at IDB. Economist and key project liaison. 36
- 37. 37 Emerging and Declining Occupations – Australia
- 38. 38 Emerging and Declining Occupations – Brazil
- 39. 39 Emerging and Declining Occupations – Chile
- 40. 40 Emerging and Declining Occupations – France
- 41. 41 Emerging and Declining Occupations – Mexico
- 42. 42 Emerging and Declining Occupations – South Africa
- 43. 43 Emerging Talent Migration – Brazil • Top 10 Emerging Occupations: • Owner / Founder • Lawyer • Consultant • Software Developer • School Teacher • Salesperson • Marketing Specialist • Business Strategist • Mental Health Professional • Website Manager
- 44. 44 Emerging Talent Migration – Chile • Top 10 Emerging Occupations: • Software Developer • Owner / Founder • Social Media Specialist • Mental Health Professional • Consultant • Nurse • Dietician • Physical Therapist • Creative Designer • Commercial Real Estate Specialist
- 45. 45 Emerging Talent Migration – France • Top 10 Emerging Occupations: • Performer • Software Developer • Food Service Professional • Business Development Specialist • Business Strategist • Social Media Specialist • Consultant • Production Crew • Recruiter • Legal Administrative Professional
- 46. 46 Emerging Talent Migration – Mexico • Top 10 Emerging Occupations: • Software Developer • Medical Assistant • Social Media Specialist • Human Resources Specialist • Recruiter • Owner / Founder • Business Strategist • Consultant • Marketing Specialist • Advertising Specialist
- 47. 47 Emerging Talent Migration – United States • Top 10 Emerging Occupations: • Software Developer • Recruiter • Business Strategist • Marketing Specialist • Real Estate Broker • Consultant • Research Fellow • Social Media Specialist • Food Service Professional • Data Analyst
- 48. 48 Emerging Talent Migration – India • Top 10 Emerging Occupations: • Software Developer • Owner / Founder • Recruiter • Consultant • Human Resources Specialist • Business Strategist • Marketing Specialist • Business Development Specialist • Online Marketing Manager • Author
- 49. 49 Emerging Talent Migration – United Kingdom • Top 10 Emerging Occupations: • Recruiter • Business Strategist • Software Developer • Consultant • Production Crew • Marketing Specialist • Food Service Professional • Production Editor • Business Development Specialist • Owner / Founder
Editor's Notes
- #13: Data on jobs and skills is being generated from new sources: Real-time Access to new and large sets of data from public and private job boards combined with artificial intelligence (specifically machine learning) to gain insights There are also new players in the workforce arena, such as Google for Jobs and Facebook Jobs that represent new sources of online data on occupations and potentially skills.
- #15: Latest numbers here: https://news.linkedin.com/about-us#statistics
- #16: When we looked at all these actions together, it allowed us to develop the world’s first Economic Graph. An Economic Graph that digitally maps the global economy across six dimensions. Ultimately, we will have a profile for every member of the global workforce, a profile for every company in the world, all open jobs at those companies, all the skills required to obtain those jobs, a profile for every educational institution or training facility that enables people to acquire those skills, and a publishing platform that enables every individual, every company, and every university to share their professionally-relevant knowledge if they’re interested in doing so.
- #17: In short, the Economic Graph is all the data on LinkedIn. It’s a crystal ball for understanding what’s happening in the global economy in real-time through our community. It’s a continuously updated digital representation of 530M members, 18M companies, 11M jobs, 50K skills, 29K schools, and over 190B member posts viewed. It becomes a source of information for individuals, companies, governments and non-profit organizations to make decisions on jobs, skills, and learning.
- #37: LinkedIn started as a place to post your professional profile and keep up with your professional relationships. Since then, it’s become the largest professional community in the world. Our members today are actively helping themselves and each other to grow their careers – sharing industry news, career advice, learning new skills, researching companies, and finding jobs.