Data profoundly shapes our economic, political, and social ecosystems, yet we have limited control over its influence. Unchecked dataflows among agents can distort or undermine these ecosystems. Analyzing dataflows helps us understand their use and misuse, revealing opportunities to harness their value. Beneficial dataflows, such as hospitals sharing patient data, enhance healthcare outcomes, while harmful dataflows, such as personal data sold to self-interested brokers, cause substantial damage. Equally critical are absent dataflows-such as banks or governments withholding data due to competition or mistrust-that lead to unrealized value. Despite their substantial impact, unified methods to manage dataflows effectively are lacking. Current legal (regulations), economic (incentives), and technical (privacy technologies) interventions are developed independently without a clear evaluation of their collective effectiveness.
Ronield Fernandez (Mon,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: