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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 fourfold. First, DaSA is an “expertise hub” that brings together researchers from across the NMSU campus who can (a) collaborate or consult with research teams inside and outside of the university in need of a data science skill set, and (b) find and collaborate with one another on projects and funding opportunities.

Second, DaSA functions as a centralized 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. 

Third, DaSA provides office space with computers outfitted with various data science software for students and postdocs of faculty affiliates.

Lastly, DaSA facilitates interdisciplinary programming in the form of workshops, symposia, and colloquia where scholars inside and outside of the NMSU community share their works 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 (a) collaborate or consult with research teams inside and outside of the university in need of a data science skill set, and (b) find and collaborate with one another on projects and funding opportunities;
  • to maintain a centralized 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;
  • to provide office space with computers outfitted with various data science software for students and postdocs of faculty affiliates; and
  • to facilitate interdisciplinary programming in the form of workshops, symposia, and colloquia where scholars inside and outside of the NMSU community share their works that involve data science, computational social science, artificial intelligence, and digital humanities elements.