The Transnational Digital Government Project seeks to combine five advanced information technologies into one integrated system to help the immigration services of various countries cooperate with each other to control their boundaries against illegal immigration, drug smuggling and terrorism. The project is based on technologies that facilitate the collection, processing, exchange and integration of information. While the current pilot project being executed in Belize and the Dominican Republic focuses on connecting remote border posts within and between these two countries (nationally and transnationally), as well as producing instantaneous access to centralized databases in both countries, the technology can be used in a variety of other ways and applied to other government functions (i.e.: health and education) to enhance international cooperation and more effective government in general. Specific research is being done in five information technologies:

§         Spoken dialogue systems for data collection, training and learning;

§         Active data management and security techniques for rule-based data sharing and filtering;

§         Information retrieval and machine translation technology for sharing documents and searching information across different languages and countries;

§         Middleware for transnational (heterogeneous) information grids that enable private, secure and dependable automation of collaboration processes and policies, and the delivery of computing services through Internet portals; and

§         Network behavior modeling and optimization for delivery of acceptable quality of service.

 

Initially two pilot countries volunteered to serve as pilots for this project – Belize and the Dominican Republic – and the government process they have chosen to apply the research being conducted is immigration control at remote border stations. However, the long run goal is to be able to replicate this system in other Western Hemisphere countries, and to other government processes.

       At the end of the project, the application being developed will:

§         Permit automatic querying of databases in any of the participating countries to obtain information on suspicious travelers;

§         Automatically alert authorities and relevant agencies when the profile of a traveler (history of travel, behavior, illegal documentation, appearance) is suspicious;

§         Enable access to information in databases either within the country or in other participating countries, including information automatically translated from databases in other languages;

§         Manage security and privacy of the information internally in the control agencies of each participating country, nevertheless permitting regional access to selected information to share with the authorities of the other countries allowing for transnational collaboration.

 

The context of this research is the ongoing process of transnational cooperation among governments of the Western hemisphere to deal with the negative impact on society of illicit drug production, trafficking, and consumption. The process, coordinated by CICAD – the Inter-American Drug Abuse Control Commission, which is the counter-drug body of the member states of the OAS, is called the Multilateral Evaluation Mechanism (MEM). The MEM is a peer-based multilateral process to facilitate evaluation of the progress made by the nations of the hemisphere in dealing with the diverse manifestations of the drug problem.  The MEM requires that countries collect, share and analyze extensive amounts of information in accordance with agreed-upon standard indicators presented in the form of a questionnaire.  A complete response to this questionnaire on the part of OAS countries and the success of the analysis of this data at the regional level requires data that is obtainable, compatible, and exchangeable. This project provides countries with a tool to be able to gather accurate data to be used in the MEM process.

 

The research is being conducted by a team of researchers from seven universities: University of Florida, Carnegie Mellon University, University of Colorado, University of Massachusetts, North Carolina State University, University of Belize and the Pontificia Universidad Católica Madre y Maestra (PUCMM) from the Dominican Republic; and experts from agencies in three different countries (United States, Belize and the Dominican Republic). Under the umbrella of the OAS, several ministries and agencies in the three countries will be involved. These include two OAS departments in Washington, D.C. (the Office of Science and Technology and the Inter-American Drug Abuse Control Commission – CICAD); the National Drug Abuse Control Council of Belize’s Ministry of Health; and the National Drug Council of the Dominican Republic. The university researchers include experts on speech-based interfaces, machine translation, databases, information retrieval, Internet computing and networking.

 

            This is a three year project financed by the National Science Foundation through a US$1,500,000 grant to the University of Florida. We are currently in the project’s second year of execution. The first phase of the research has been completed, and an initial system prototype has been built and demonstrated in Belize. Further research is being done to extend the capabilities of the system and adapt it to the immigration agencies of the participating countries. A second demonstration of a more advanced prototype is programmed to take place in the Dominican Republic during the second quarter of 2004. The short term objective (year 2005) is to be able to implement the built system in one border post in each country. Upon success in this one border post, the system then would be scaled up to include multiple border posts in each country.

 

Taking into account the results of the project and the success of the system in the pilot countries, the long term objective of the project is to expand the built model to other countries in the hemisphere, and adapt the system to serve other government functions.