Bachelor degree in Discovery Informatics at College of Charleston

 

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Bachelor Degree in Discovery Informatics at College of Charleston

College of Charleston
Bachelor degree
Discovery Informatics

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Discovery Informatics is concerned with the creation of new information from existing information, whether previously stored, or as it flows through a communication channel. How can we apply existing tools and create new tools to help us to discover new information, validate what
we discover, and within the human context, enter the discovery into our knowledge base?

The term "Discovery Informatics" was defined by William W. Agresti in 2003, as follows: "Discovery Informatics is the study and practice of employing the full spectrum of computing and analytical science and technology to the singular pursuit of discovering new information by identifying and validating patterns in data."

The College of Charleston faculty, in the development of our undergraduate program, have enhanced the definition by explicitly articulating the contributing fields of Bayesian statistics, mathematical modeling, and computer programming.

It's about gleaning new knowledge from existing information. Until the 20th century, information was the critical input that helped people solve problems. In the 20th century information became the solution. Information itself was the product of commerce – from science to the entertainment industry. And now, at the beginning of the 21st century, information has become a problem – there seems to be no end to how much information can be generated, communicated and stored, often without intention or value.

Discovery Informatics does not purport to solve the information glut. Instead the aim is to find meaning in information that is otherwise not useful – or not as useful as it could be – because of its sheer volume. Discovery Informatics has already had success in transforming the way we do biology (as bioInformatics and genomics), in medicine (as medical Informatics), and in pharmacology (in drug Informatics and drug discovery).

The information revolution did not start with the computer. Gutenberg was responsible for that when it became possible to copy information for mass distribution. Today networks copy and transport information nearly without cost, with respect to paper-based publication. Working with information stored as bits rather than atoms has made all the difference. With the ease of information publication and transmission. Every person and computational device connected to the information grid can both publish and consume information. Discovery Informatics is a challenging but quantitative response to find added value by thinking in new ways made available only as a partnership between humans and machine.

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