Wanlu Chi | Talent, Space, and AI

Talent mobility, platforms,
and spatial inequalities

Selected projects that explore talent mobility, platform systems, and spatial inequalities through data analysis and modelling.

Projects

Global Talent Flows — cover
Project 01Data-driven exploration

Global Talent Flows

A data-driven exploration of how talent circulates across global cities and how opportunity is unevenly distributed.

Focus
Global mobility patterns
Approach
Spatial data and mapping
Insight
Talent flows are highly concentrated rather than evenly distributed.
From Mobility to Conversion — cover
Project 02Analytical project

From Mobility to Conversion

An analytical project examining how mobility is translated into advantage through processes of evaluation and filtering.

Focus
Capital conversion
Approach
Qualitative insights and analytical modelling
Insight
Not all mobility leads to opportunity.
From Real Mobility to Modelled Mobility — cover
Project 03Prototype system

From Real Mobility to Modelled Mobility

A prototype system exploring how talent mobility can be represented computationally across cities.

Focus
Modelling talent flows
Approach
Structured data and predictive modelling
Insight
Mobility can be translated into computational representations.
Where to Return? — A Decision Platform for Global Returnees — cover
Project 04Web product

Where to Return? — A Decision Platform for Global Returnees

海归去哪呀

A decision-support platform helping internationally mobile talent choose where to go, what to pursue, and how to position themselves within uneven urban and labour-market systems.

Focus
Return migration and career decisions; city-level opportunity and policy context; spatial inequality in talent distribution
Approach
System design and information architecture; integrated policy, labour-market, and spatial data; qualitative insight into structured decision models
Insight
Talent mobility is not only about returning—it is about navigating systems that evaluate, filter, and position people differently across cities.