Focus: How interests evolve across lifespan and domains (work, leisure, calling).

Example topics:

• Interests assessments through technologies

• Vocational interests: evolvement and development

• Leisure interests and their intersections with work interests

• Identity, motivation, and interest trajectories across career stages

Key methods: Automated Video Interviews, latent profile analysis, longitudinal

Focus: How people switch between roles, careers, and identities across life transitions.

Example topics:

• Aging workforce adaptation and transition into retirement

• Career breaks and reentry pathways

• Job, callings, and meaning of work in the contemporary workplace

• Work adaptation through job crafting, resilience, and meaning reconstruction

Key methods: AI-based narrative analysis, mixed methods, longitudinal

Focus: Developing and validating new ways to measure and assess key individual differences using behavioral data and advanced technology.

Example topics:

• AI-based assessments: automated video interviews (i.e., multimodal ML models), chatbots, social media posts

• Integrating psychometric validity with ML interpretability

• Measurement equivalence

Key methods: Scale development, Machine learning, NLP, Social Media

Focus: How AI, automation, and digitalization are transforming work and careers.

Example topics:

• Technological change and perceptions of meaningful work

• Future of work attitudes: AI adoption, automation anxiety, re/up-skilling

• New forms of work: gig work, remote work, virtual reality training, etc.

Key methods: Survey, NLP, and experimental designs