• The epistemic foundations of data science, artificial intelligence, and/or information technology • The legacies of bias, inequality, and/or racial discrimination in information systems. • The political economy of information science and technology • The social making and deployment of disciplines such as operations research, managerial and/or business science • The production, perception, and politics of narratives about algorithms, automation, and/or artificial intelligence. • Applications of information systems in national security, healthcare, environment and/or the welfare state. • Alternative histories of information and data science in the Global South and/or underrepresented communities in the Global North. • The evolution of expertise and authority in data-driven science, technology, and/or medicine. • (De )colonizing domains of information science and/or technology. • Subversive technological adaptations, interventions, and/or resistance by marginalized groups. • The role(s) of information science and technology in the emergence of new threats, vulnerabilities, and risks.

Education level to the extent education is relevant to the position.Academic Discipline (faculty pay ranges reflects 9-month annual salary)Unique applicable skills.