Computational Analysis of International Investment Agreements
More than 3000 international investment agreements (IIAs) have been concluded by 2015 and virtually every country is a signatory. What makes these treaties special is their enforcement mechanism: private investors can sue states directly before international arbitration potentially winning multi-million dollar awards. Given its size and atomized nature, however, practitioners struggle to effectively navigate the IIA universe. To reduce investment law's complexity, this paper introduces a range of computational approaches relying on state-of-the-art technology. Implemented as a web-based tool, these approaches allow researchers, policy makers and litigators to assess similarities and differences between agreements quickly and intuitively helping them to navigate the investment treaty universe.
Table of contents
- 1. Introduction
- 2. Data
- 3. Methodology
- 3.1. q-character gram representations of treaty texts and their Jaccard distance
- 3.2. Heat map representation of Jaccard scores
- 3.3. Diffs and article-level comparisons of treaty texts
- 4. Applications
- 4.1. Systemic and country-level comparisons
- 4.2. Treaty- and article-level comparisons
- 4.3. Applications in negotiations and litigation
- 5. Web-based Tool and Future Developments
- 6. References
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