Global Hackathon Using AI for Digital Trade Regulatory Analysis

Global Hackathon Using AI for Digital Trade Regulatory Analysis – Application Form

Submit your application for Global Hackathon Using AI for Digital Trade Regulatory Analysis. Proposed solutions must be open source and produce reviewable, evidence-based outputs with verified citations addressing cross-border data flows and domestic data governance. AI for Digital Trade Regulatory Analysis is an initiative of the United Nations to support intelligent, transparent, and evidence-based digital governance. Contact us: escap-digitaltrade-hackathon@un.org and regtech2026@kmitl.ac.th
- Team Information
- TeamIndividual
- Team Name*
- WHO CAN PARTICIPATE: Teams of up to 5 members. Participants from any country, academic background, or professional field. Teams must have technical and policy/legal skill sets. Each team must designate at least: 1 Technical Lead (AI, data extraction, or system development) and 1 Substantive Lead (law, policy, or regulatory analysis). Solo participants must demonstrate capability in both areas.
- How many members are in your team? (1–5)*
- Member 1 (Primary Contact) – Full Name*
  
  First NameMiddle NameLast Name
- Technical LeadPolicy LeadTeam Member
- Member 1 - Gender*
- Member 1 - Nationality*
- Member 1 - Age*
- Member 1 - Email*
  example@example.com
- Member 1 - Phone Number*
  
  Country CodePhone Number
- Member 1 - Country Residence*
- Member 1 - Postal Address*
- Member 1 - Affiliation*
- Member 1 - Affiliation Position*
- Member 1 - Affiliation Categories*
- Other Members
- Member 2 - Full Name
  
  First NameMiddle NameLast Name
- Member 2 - Roles (Select all that apply)
- Member 2 - Gender
- Member 2 - Nationality
- Member 2 - Age
- Member 2 - Email
  example@example.com
- Member 2 - Phone Number
  Please enter a valid phone number.Format: (+00) 000000-000000.
- Member 2 - Country Residence
- Member 2 - Postal Address
- Member 2 - Affiliation
- Member 2 - Affiliation Position
- Member 2 - Affiliation Categories
- Member 3 – Full Name
  
  First NameMiddle NameLast Name
- Member 3 - Roles (Select all that apply)
- Member 3 - Gender
- Member 3 - Nationality
- Member 3 - Age
- Member 3 - Email
  example@example.com
- Member 3 - Phone Number
  Please enter a valid phone number.Format: (+00) 000000-000000.
- Member 3 - Country Residence
- Member 3 - Postal Address
- Member 3 - Affiliation
- Member 3 - Affiliation Position
- Member 3 - Affiliation Categories
- Member 4 – Full Name
  
  First NameMiddle NameLast Name
- Member 4 - Roles (Select all that apply)
- Member 4 - Gender
- Member 4 - Nationality
- Member 4 - Age
- Member 4 - Email
  example@example.com
- Member 4 - Phone Number
  Please enter a valid phone number.Format: (+00) 000000-000000.
- Member 4 - Country Residence
- Member 4 - Postal Address
- Member 4 - Affiliation
- Member 4 – Affiliation Position
- Member 4 - Affiliation Categories
- Member 5 – Full Name
  
  First NameMiddle NameLast Name
- Member 5 - Roles (Select all that apply)
- Member 5 - Gender
- Member 5 - Nationality
- Member 5 - Age
- Member 5 - Email
  example@example.com
- Member 5 - Phone Number
  Please enter a valid phone number.Format: (+00) 000000-000000.
- Member 5 - Country Residence
- Member 5 - Postal Address
- Member 5 - Affiliation
- Member 5 – Affiliation Position
- Member 5 - Affiliation Categories
- Initial Submission
- Project Title*
- Short Proposal Summary (200 words)*
  
  0/200
- Problem Understanding & Objectives (200 words)*
  
  0/200
- Pillar 1 — Tariffs and trade defencePillar 2 — Public procurementPillar 3 — Foreign direct investmentPillar 4 — Intellectual property rightsPillar 5 — Telecommunications infrastructure and competitionPillar 6 - Cross-border Data PoliciesPillar 7 - Domestic Data PoliciesPillar 8 — Internet intermediary liabilityPillar 9 — Access to online contentPillar 10 — Non-technical non-tariff measuresPillar 11 — Technical standards and conformity assessmentPillar 12 — Online sales and transactions
- Q1) In the Personal Data Protection Act (PDPA) of Country A, the following phrases are included:
  
  ‘An organisation shall not transfer any personal data to a country or territory outside Country A...’
  ‘...except in accordance with requirements prescribed under this Act to ensure that organisations provide a standard of protection to personal data so transferred that is comparable to that under this Act.’
- 1.1) What might be a linguistic conflict between the two phases (max 150 words)*
  
  0/150
- 1.2) How will you decide which one takes precedence as the primary regulatory standard, and what is the policy rationale for that choice? (max 150 words)*
  
  0/150
- 1.3) How will you programme your AI to make a correct decision? (max 150 words)*
  
  0/150
- Q2) Propose an end-to-end approach of your project (high-level workflow: collect → extract → classify → explain → cite → export) (max 250 words)*
  
  0/250
- Q3) Data Sources & Scope for Demo of your project (target jurisdiction(s) + document types : e.g. HTML, PDF, scanned PDF, etc.) (max 250 words)*
  
  0/250
- Q4) Evidence & Citation Method (Anti-hallucination) (how you ensure traceable quotations: e.g., URLs, Sections, pages, etc.) (max 250 words)*
  
  0/250
- Q5) You are given three legal sources from one country:
  
  1) an official HTML regulation page,
  2) a scanned PDF of an older amendment, and
  3) a ministry guideline that paraphrases the law but is not legally binding.
  
  Describe how your system would identify which source(s) should be treated as authoritative, extract the relevant clause on cross-border personal data transfer, and return a reviewable citation.
- Please explain your pipeline step by step, including how you would handle OCR errors, document structure, and conflicts between sources. (Max 250 words)*
  
  0/250
- Q6) For this hackathon, solutions must produce evidence-based outputs with verified citations and remain reviewable by humans. Describe a technical design that reduces hallucination when using AI to analyze legal and regulatory documents.
  
  Your answer must include:
  - what the AI model is allowed to do,
  - what it is not allowed to do,
  - how the system links every claim to exact evidence, and
  - one concrete failure case your design is meant to catch before output is shown to the user.
  - Do not describe general AI principles only; describe an implementable workflow.
- (Max 250 words)*
  
  0/250
- Upload your Profiles of all team members (.PDF or related files)*
  
  Your relevant skills and experience
  Cancelof
- Upload your Technical Memo (Max 750 words)*
  
  A brief outline of: - Proposed system architecture; - Tools, models, and methods you plan to use; - Methods to ensure accuracy, transparency, and cost‐efficiency
  Cancelof
- Upload your 5-minute Concept video (Rename your file as: TeamName_LeaderName_Video)*
  
  Concept Video (5 minutes) A simple, clear video explaining your strategy for Automated discovery of legal documents and Mapping and verification of regulatory evidence
  Cancelof
- Backup Links (YouTube/Drive/OneDrive links; ensure reviewers have view access.)
- Applicant Agreement
- DOWNLOAD APPLICATION AGREEMENT FORM
- Download the file, have all team members sign it, and upload it back here.*
  
  Cancelof
- I/We have read, understood, and agree to the Intellectual Property and Open Source terms
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Global Hackathon Using AI for Digital Trade Regulatory Analysis – Application Form

Team Information

Initial Submission

Applicant Agreement