“…Third, the computational tool view overlooks the contextual organizational, environmental, and institutional features dynamically contributing to shaping algorithms across space and over time, including customs, culture, knowledge, or resources (e.g., Porter, 1996); global instruments such as regulatory frameworks, classifications, standards, policies, or the law (Mennicken & Espeland, 2019;Yeung, 2018); decision-making and problem-solving characteristics such as expertise, choice, and judgment (Aversa, Doherty, & Hernandez, 2018;Galliers, Newell, Shanks, & Topi, 2017); and material contingencies such as hardware, platforms, or languages (Nambisan, Wright, & Feldman, 2019). As created and enacted within a thick web of proximities and relationalities, algorithms thus stretch far beyond both the narrow conditions under which they are developed and deployed, and purely technical domains (Geiger, 2014).…”