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Data Science Alliance

The Data Science Alliance (DSA) is a group of faculty and researchers at Idaho State University across a variety of departments, colleges, and disciplines that teach, research, apply, and/or are interested in data science. The DSA exists to promote collaboration and support for these efforts; raise awareness of data science activity, research, and courses at Idaho State University; and provide an external face to facilitate collaboration and conversation with industry and government.


What is Data Science?

Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information.

Data science allows entities to use the data at their disposal, whether that’s customer data, financial data or otherwise, in an intelligent manner. The results should be a key driver of growth. 

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.

The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.

Artificial Intelligence is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.


DSA Members

Bodily, Paul. Assistant Professor, Department of Computer Science. Website

Donna Delparte. Associate Professor, Geosciences. Website

Derryberry, Dewayne. Professor, Department of Mathematics and Statistics.

Frischmann, Julie. Clinical Assistant Professor, Statistics, Department of Management and Marketing.

Godsey, Sarah. Associate Professor, Department of Geosciences. Website

Kalivas, John. Professor, Department of Chemistry. Website

Kerby, Leslie. Assistant Professor, Department of Computer Science. Website

Nawotniak, Shannon Kobs. Associate professor, Department of Geosciences. Website

Parker, Kevin. Professor, Department of Informatics. Website

Peterson, Teri. Clinical Associate Professor, Department of Management.

Schoen, Marco P. Professor and Director of MCERC/ERC. Website

van Woerden, Irene. Assistant Professor, College of Health (Statistician). Website

Weber, Keith T. ISU GIS Director, GIS Training and Research Center. Website

Xu, Danny. Associate Professor, Department of Biomedical and Pharmaceutical Sciences. Website

Zhu, Yunrong. Associate Professor, Department of Mathematics and Statistics. Website