SEE-ME (Systems for Economic Empowerment through Market & Ecosystem Design) is an intensive executive learning programme designed for professionals, policymakers, technologists, strategists, and ecosystem builders seeking to understand how markets, firms, platforms, and ecosystems are being transformed by AI, data, and digital coordination.
The foundational learning component for the SEE-ME program is the “The Economic Stack: Data, Markets, Ecosystems in the AI Economy” course led by Professor Irene Ng.
10 Hours | Five Sessions of Two Hours Each Online
Download the 2-pager:
The-Economic-Stack-Data-Markets-and-Ecosystems.pdf
22 June 2026
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Delivered through a series of 2-hour sessions across one week, the course moves from foundational theory to practical ecosystem design using real-world case studies and the Dataswyft Wallet infrastructure. Participants learn how coordination itself is becoming the defining economic function of the AI era — and why designing ecosystems now matters as much as building products or platforms.
Session 1 — Nano Layer: Data, Behaviour & the AI Economy
This session introduces the foundational layer of the modern digital economy: data. Beginning with the earliest forms of recorded information — from cave markings and clay tablets to digital platforms and AI systems — participants explore how societies have always used data to coordinate exchange, trust, governance, and collective action. The session examines the distinction between attributes and behaviours, durable and expirable data, and why behavioural data has become the central fuel of the AI economy. Participants are introduced to the DIKW model, how AI compresses traditional human reasoning into machine-speed pattern matching, and why the ability to capture, process, and coordinate behavioural data is becoming one of the defining competitive advantages of the modern economy.
Session 2 — Micro Layer: Exchanges, Consumption & Coordination
This session explores the micro layer of the economy where goods, services, labour, and experiences are exchanged and consumed. Participants examine why markets exist in the first place: because exchange between strangers is difficult and requires systems for trust, search, verification, contracting, and coordination. The session traces how digital platforms internalised these coordination functions and became more powerful than many producers themselves. It then moves beyond exchange into consumption coordination, exploring how AI and behavioural data increasingly shape not only what people buy, but how they consume, behave, and form habits over time. Participants learn how products are evolving into continuous coordination systems and why future competitive advantage will increasingly depend on the ability to coordinate consumption rather than merely facilitate transactions.
Session 3 — Meso Layer: Markets, Firms & Institutional Transformation
This session examines the institutional structures that organise economic life at scale: markets, firms, platforms, sectors, and emerging ecosystem forms. Participants are introduced to markets as coordination systems that allocate resources, structure participation, and reduce transaction costs. Drawing on transaction cost economics and the theory of the firm, the session explains why firms exist, how platforms differ from firms, and why AI and digital coordination infrastructures are reshaping organisational boundaries across every sector. Through examples ranging from restaurants and food courts to Uber, Revolut, and AI-enabled microfirms, participants explore how coordination power is increasingly overtaking production power as the dominant economic force. The session concludes by examining how AI agents, platforms, and ecosystem structures are challenging traditional institutional forms and creating entirely new coordination architectures beyond the nation-state.
Session 4 — From Theory to Practice: Ecosystem Design with the Dataswyft Wallet
This session brings together the nano, micro, and meso layers into practical ecosystem design. Participants are introduced to the Dataswyft Wallet as a coordination infrastructure that enables portable trust, verified participation, programmable credentials, and interoperable data ecosystems. Using real-world case studies such as volunteer verification for ESG reporting and farmer credit enablement, the session demonstrates how ecosystems can be designed to reduce transaction costs, improve legitimacy, and create new forms of participation and value creation. Participants learn a structured framework for ecosystem design covering actors, incentives, data flows, governance, badges, and coordination mechanisms. The session culminates in the programme’s central question: who coordinates the ecosystem itself, and what incentives are necessary for ecosystems to sustain participation, legitimacy, and long-term collective value creation?