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ABOUT US

The Data Science and Applications (DaSA) Center is the point of connection for faculty, students, and staff at New Mexico State University who work in the areas of data science, computational social science, artificial intelligence, and digital humanities. 

The purpose of DaSA is threefold. First, DaSA is an “expertise hub” that brings together researchers from across the NMSU campus who can collaborate or consult with research teams inside and outside of the university in need of a data science skill set. 

Second, DaSA functions as a centralized web presence through which NMSU undergraduates and Data Analytics Professional Masters students may find faculty with whom they’d like to potentially work via independent study, work study, or volunteering. 

Lastly, DaSA facilitates a regular interdisciplinary workshop where faculty, graduate students, undergraduate students, postdoctoral researchers, and other members of the NMSU community share their works-in-progress (at varying stages of completion) that involve data science, computational social science, artificial intelligence, and digital humanities elements.

VISION

DaSA’s vision is to be recognized as a premiere community of expertise for collaboration and consultation on data science-related projects both nationally and internationally, and to position New Mexico State University as a central hub for education and research in the fields of data science, computational social science, artificial intelligence research, and digital humanities.

MISSION STATEMENT

The mission of DaSA is to serve as a centralized community for data scientists, computational social scientists, artificial intelligence researchers, and digital humanists at New Mexico State University. The purposes of this community are as follows:

  • to function as an “expertise hub” that brings together researchers from across the NMSU campus who can collaborate or consult with research teams inside and outside of the university in need of a data science skill set;
  • to maintain a centralized web presence through which NMSU undergraduates and Data Analytics Professional Masters students may find faculty with whom they’d like to potentially work via independent study, work study, or volunteering; and
  • to facilitate a regular interdisciplinary workshop where faculty, graduate students, undergraduate students, postdoctoral researchers, and other members of the NMSU community share their works-in-progress (at varying stages of completion) that involve data science, computational social science, artificial intelligence, and digital humanities elements.