Mission:

• • inspire students to work collaborative in the creation of solutions, methods and tools for data-driven discovery and improving algorithmic fairness

  • develop a situated-learning and problem-based learning ecosystem by levering one of the tenets of the socio-technical premise, namely that all contexts matter

  • establish a strong collaborations with other departments and institutions and better server our students

  • engage students to study and address the impact that machine learning and AI have on learning

  • strengthen the MICE (Mentor, Inspire, Connect and Empower) program that the Computer Science program at UST has adopted

  • create pedagogical approaches for improving data-science and computing literacy to groups that traditionally have limited access to these technologies

  • harness the border-less reality that information technology offers in order to create a synergistic collaboration with cities and institutions in other countries