This Praxis develops a machine learning (ML) model to address ransomware threats in higher education institutions (HEIs). HEIs are vulnerable to cyberattacks due to their open-access environments, diverse user bases, and decentralized IT systems. These vulnerabilities are compounded by limited budgets, heightened risks from increased digital…

This final report describes activities and findings of a project which examined computer-automated scheduling in institutions for higher education and secondary schools and selected two sources for scheduling systems products which it recommends to institutions in the member states of the Midwestern Higher Education Commission and members of the…

Edna Chun and Alvin Evans explain how a low-cost application service provider model can benefit institutions looking to streamline and simplify the recruitment and hiring process, yet still attract top talent. They offer tips for selecting a vendor, examine the importance of collaboration between and among different campus constituents in…