A project by Prof. George Konstantinidis on Experizon.
Get hands-on experience with the design and implementation of technical components that underpin the data economy, including data sharing, governance, trading, negotiation, privacy, pricing, and compliance. You will work in a small team to design and implement a prototype system or subsystem that addresses a concrete problem in the data economy, and to critically reflect on the technical and governance trade-offs involved. This is a technical project: the emphasis is on system design, implementation, and reasoning, not on essays or purely conceptual analysis. Context See slides and readings on moodle website of the module. Objectives Through this project, you will demonstrate your ability to: -design and implement technical components for data sharing and data economy systems -reason about governance, privacy, consent, and compliance as technical problems -evaluate trade-offs between different architectural and algorithmic choices -work effectively in a small technical team -communicate technical work clearly in both written and oral form. Requirements Your project must include: -A clear architecture diagram -At least one implemented technical component -Evidence of governance enforcement in the implementation or the report (access control, policies, privacy, etc.) -A working demonstration -Enough documentation to install and run - a structured README (separately from the report) -Must run on standard environment, or Docker It is acceptable to: -Use mock/synthetic data -Simulate external services -Build a subsystem rather than a full platform
Technical Artefact -Source code (e.g. Git repository) -Clear instructions to run or test -Reasonable documentation in the code -A structured README on how to install and run the code -A 3-5min video demo recording Written Report ~3000 words (7-10 pages depending on format) -Problem statement and motivation -Relevant background and related work (as appropriate) -System architecture and design decisions (clear architecture diagram) -Description of implementation -Use of AI tools disclosure -Governance, privacy, or economic considerations -Limitations and future work Individual Deliverable -Each student will give a short individual presentation, explaining: their contribution to the project; the key technical decision they were involved in; the design choices and trade-offs considered on their part. -This will be a 3-5 recorded video presentation