Data Science Research and Methods │ Data Science

New research approaches for better understanding

The Data Science team at AIR is experienced with standard and emerging approaches to help clients get the most out of their data. We work closely with subject matter experts to identify the correct model and evaluate the results. The use of data science research and methods can streamline data processing, uncover new information, and supplement more traditional statistical approaches while saving many hours of human effort.

Machine learning techniques allow researchers to identify patterns across large datasets and generate predictive models that draw on many variables, far more than conventional statistical approaches. Natural Language Processing can provide quantitative summaries of text-based data and supplement more qualitative approaches. Video analytics can identify instances of speech, audio events, or facial expressions, and flag these excerpts for further analysis or generate metrics of their own.

Christina Jones
Principal Data Scientist