Platform Economy and Gig Worker Rights Training Course

Trade Unions

Platform Economy and Gig Worker Rights Training Course is designed to equip learners with deep insights into digital labor platforms, gig work governance, platform accountability, and inclusive labor policies.

Platform Economy and Gig Worker Rights Training Course

Course Overview

Platform Economy and Gig Worker Rights Training Course

Introduction

The Platform Economy is rapidly transforming global labor markets through digital platforms such as ride-hailing, delivery apps, freelance marketplaces, and on-demand service ecosystems. This shift has created unprecedented opportunities for flexible work, remote income generation, and digital entrepreneurship, while also raising critical concerns around labor rights, algorithmic management, wage transparency, and social protection. 

Platform Economy and Gig Worker Rights Training Course is designed to equip learners with deep insights into digital labor platforms, gig work governance, platform accountability, and inclusive labor policies. It explores how technology-driven work models intersect with labor law, digital rights, algorithmic fairness, and social security systems. Participants will gain practical knowledge on advocating for fair pay, decent work conditions, collective bargaining in gig work, and ethical platform design, enabling them to engage effectively in the evolving digital labor ecosystem.

Course Duration

5 days

Course Objectives

  1. Understand the Platform Economy ecosystem and gig work models
  2. Analyze digital labor platforms and algorithmic management systems
  3. Evaluate gig worker classification: employee vs independent contractor debate
  4. Explore labor rights in digital and on-demand economies
  5. Assess income insecurity and wage transparency in gig work
  6. Understand social protection systems for platform workers
  7. Examine data privacy and surveillance in gig platforms
  8. Study algorithmic bias and fairness in task allocation
  9. Explore collective bargaining and unionization in gig economy
  10. Understand regulatory frameworks and global policy trends
  11. Develop skills in platform accountability and ethical governance
  12. Analyze case studies of ride-hailing, delivery, and freelance platforms
  13. Design strategies for decent work and sustainable gig economy models

Target Audience

  • Policy makers and government regulators 
  • Labor union leaders and worker associations 
  • HR and workforce management professionals 
  • Gig workers and platform freelancers 
  • Legal professionals specializing in labor law 
  • Social development and NGO practitioners 
  • Researchers in digital economy and labor studies 
  • Corporate leaders in platform-based businesses 

Course Modules

Module 1: Introduction to Platform Economy

  • Evolution of digital labor markets 
  • Types of gig platforms (ride, delivery, freelance) 
  • Business models of platform companies 
  • Growth of on-demand economy globally 
  • Case Study: Uber’s global expansion and labor debates 

Module 2: Gig Work Classification & Legal Status

  • Employee vs contractor classification issues 
  • Labor law gaps in digital work 
  • Supreme court rulings and global precedents 
  • Misclassification risks and implications 
  • Case Study: Lyft & Uber driver classification lawsuits (US & EU) 

Module 3: Algorithmic Management Systems

  • AI-driven task allocation systems 
  • Ratings, rankings, and performance tracking 
  • Automated decision-making in gig work 
  • Transparency challenges in algorithms 
  • Case Study: Amazon Mechanical Turk workflow automation 

Module 4: Gig Worker Rights & Protections

  • Minimum wage and fair pay debates 
  • Working hours and flexibility concerns 
  • Occupational health and safety issues 
  • Contract transparency rights 
  • Case Study: Food delivery riders’ strikes in Europe 

Module 5: Social Protection & Benefits

  • Health insurance and accident coverage 
  • Pension and retirement challenges 
  • Portable benefits systems 
  • Government welfare integration models 
  • Case Study: India’s social security scheme for gig workers 

Module 6: Platform Accountability & Governance

  • Corporate responsibility in gig platforms 
  • Regulatory compliance mechanisms 
  • Ethical AI usage in labor platforms 
  • Data protection and privacy rights 
  • Case Study: EU Digital Services Act impact on platforms 

Module 7: Collective Action & Unionization

  • Digital unions and worker collectives 
  • Strike movements in gig economy 
  • Bargaining power in fragmented labor markets 
  • Role of NGOs and advocacy groups 
  • Case Study: Uber drivers’ global strike movements 

Module 8: Future of Work in Platform Economy

  • Automation and AI impact on gig work 
  • Hybrid employment models 
  • Green gig economy opportunities 
  • Policy innovations for future labor markets 
  • Case Study: Freelance platforms like Upwork transforming remote work 

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

  • Interactive lectures and presentations.
  • Group discussions and brainstorming sessions.
  • Hands-on exercises using real-world datasets.
  • Role-playing and scenario-based simulations.
  • Analysis of case studies to bridge theory and practice.
  • Peer-to-peer learning and networking.
  • Expert-led Q&A sessions.
  • Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Course Information

Duration: 5 days

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