Development of Alliance Agreements in the Era of Outbreaks

Project Summary

This project summarizes the existing sample agreements from different institutions, analyzes the key contractual issues in the formation of alliances, and develops master charts of legal provisions to compare different approaches, to provide a reference for the formation of new alliances in the era of epidemic disease outbreaks. 

Themes and Categories

Key Contractual Issues in the Formation of New Alliances

Project Team

Beibei Sun, Duke University School of Law, J.D.’16 

Mentor: Professor Julie Barnes-Weise, Duke 

Funding: 

Methodology

Reviewed existing model and related agreements;

  • Identified applicable key terms;
  • Identified major approaches to specific issues;
  • Developed master chart of specific terms from designated agreements;
  • Adapted existing terms to the needs of a multi-party alliance for development of vaccines and therapies to treat and protect against an epidemic disease outbreak. 

Conclusion

The legal framework substantially affects the outcome and efficiency of the alliance formation.

  • The four key issues are usually central of the negotiation.
  • Which approaches to adopt is determined by the purpose and scope of the alliance. 

Download the poster with more details about the project

Related Projects

A team of students will contribute to an effort to operationalize the application of distributed computing methodologies in the analysis of electronic medical records (EMR) at Duke.  Specifically, the team will compare and contrast conventional (Oracle Exadata) and distributed (Apache SPARK) systems in the analysis of EMR data, and create recommendations for implementation.  Students will then use these systems to execute natural language processing (NLP) on clinical narratives and radiology notes with existing, ongoing analyses of Duke data.  This Data+ team will work with the Duke Forge, an interdepartmental collaboration focused on data science research and innovation in health and biomedical sciences.

This paper addresses analysis of heterogeneous data, such as ordered, categorical, real and count data. Such data are of interest in our motivating application, cognitive and brain science, in which subjects may answer questionnaires, and also (separately) undergo fMRI interrogation. A contribution of this paper concerns the joint analysis of how people answer questionnaires and how their brain responds to external stimuli (here visual), the latter measured via fMRI.

With the significant international consequences of recent outbreaks, the ITP Lab conducted extensive stakeholder interviews and macro-level health policy analysis to expose gaps in pandemic preparedness and develop legal frameworks for future threats.