Through interdisciplinary collaborations, we strive to correlate data science research initiatives and the gaining of new knowledge to create related methodologies, education, and research disciplines that integrate well with a transformative inquiry into current discourses on the means to devise sustainable criteria to advance global human development.
DATA SCIENCE DISCIPLINES Provides
Support for key agency operations
challenges for scientific disciplines
that harbor major societal importance
Our work supports research in a variety of fields where incredible advances are being made through the facilitation of meaningful collaborations between internal/external researchers, data analysts, and others with expertise in historical analysis, issues in sustainable development, and societal challenges that relate to future prognosis. We make use of those methods researchers have developed and deployed as next-generation computational tools and techniques. Still others with advanced capability are being explored.
Data Science Teams
In general, our data science teams operates within a decentralized reporting structure where data scientists report to different functions or units throughout the organization as needed to benefit the operational experience.
Our data science Collaborative Partnership connects data analysis with current and emerging science and research communities to foster transformative sustainable criteria to advance human development in a global context. The partnership’s two major goals are to build sustainable relationships to foster community development, and devise innovations that move humanity from a fractured society to solidify that based on sustainable achievements.
Global Human Development
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains; specifically to advance human development in a global context.
Framing Human Species Identity
AI is a perfect example of prescriptive analytics. AI systems consume a large amount of data, as it must be in a constant mode of learning in order to use information to support informed decisions. Well-designed AI systems can communicate these decisions, even putting them into action, and used for our operations when beneficial. For example, analysis of the Global Reach Initiative and TeamMx field unit operations. The importance of Blockchain technology will be considered.
A blockchain is a distributed database that is shared among the nodes of a computer network. As a database, a blockchain stores information in digital format and is best known for maintaining a secure and decentralized record of transactions. Blockchain guarantees the fidelity and security of a record of data and generates trust with no trusted third party.
Of note, is that blockchain technology has been used to project future living conditions and habitats for humans. It shows possibilities for providing elements, or ways for achieving sustainable goals. To design sustainable communities, it would do much as a support feature for our Global Reach Initiative and its field unit operation.
Data Science Research Center
Key Advisory for Data Analysis