Data-driven decision-making: Unpacking the systemic shifts in evidence-based governance
Original framing: “Inside the evidence revolution — how decision-making became data driven” — Nature
The article is grounded in scientific discourse, emphasizing empirical data and evidence-based policy. It references technological advancements and data analytics, aligning closely with scientific methodologies and evidence-based reasoning.
The shift toward data-driven governance reflects a broader systemic transformation in how authority and legitimacy are constructed.
While scientific and technological advances offer powerful tools for decision-making, they also risk reinforcing historical and cultural biases unless deliberately checked. Integrating Indigenous knowledge, cross-cultural insights, and participatory models can help balance the dominance of data with diverse epistemologies. A future-oriented approach must also consider the artistic and spiritual dimensions of human experience to avoid reducing governance to mere algorithmic efficiency. Ultimately, a systemic reimagining of data governance is necessary to ensure it serves the collective good rather than entrenched power structures.