Job Description

• 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.