TRANSFORM | Shaping the Future of Work: From Evidence to Action – Online Conference

October 20, 2026|

TRANSFORM | Shaping the Future of Work: From Evidence to Action – Online Conference

October 20, 2026|

As part of the TRANSFORM project, Iscte – University Institute of Lisbon (Portugal), with the support of NCPE Malta – National Commission for the Promotion of Equality, will host an online event to present the global results of the survey Blueprint of Tomorrow: Introducing the Future of the Human Workforce.

The session will take place on 29 October 2026, from 11:00 to 12:30 (Lisbon time). It will share the survey’s main findings and is open to researchers, academics, policymakers, practitioners, employers, employees and other stakeholders.

Participation is free of charge.

Agenda:

  • Welcome
  • Global Results of the Survey ‘Blueprint of Tomorrow: Introducing the Future of the Human Workforce’
  • Results from Portugal
  • Results from Malta
  • Beyond the Findings: Discussants’ Perspectives – with guests Prof. Rose Marie Azzopardi and Dr. Lara Próspero
  • Open Debate


Rose Marie Azzopardi

Prof. Rose Marie Azzopardi is an economist and academic whose teaching and research focus on the labour market, skills, migration, innovation, gender, economic development and EU-related issues. She has extensive research and consultancy experience, working with national and international institutions including the Government of Malta, the United Nations, the World Bank and EU institutions. Her current research focuses on the future of skills and the changing labour market.

Lara Próspero

Dr. Lara Próspero is the Global Director – Data Insights & AI Operations – Skilling & Knowledge Experience at Microsoft and PhD candidate at Universidade Europeia. Her work focuses on building AI‑first skilling and enablement platforms that help organizations and people adapt, grow, and perform in environments defined by constant change. She leads globally distributed teams responsible for transforming how skills are understood, developed, and applied, moving from static learning models to intelligent, data‑driven, human‑centered systems.