In todayโs world, the process of policy development has moved beyond merely identifying the right objectives or designing well-intentioned interventions. The core difficulty now lies in establishing a causal framework within an increasingly complex social reality. Even 20 years ago, it was not easy to clearly distinguish cause-and-effect relationships in social phenomena. Yet, today, with the deep penetration of digital technologies, artificial intelligence applications and numerous interfaces into everyday life, this difficulty appears to have undergone a qualitative leap. In other words, as life has become more complex compared to the recent past, the intersections between different spheres of life have increased significantly. Consequently, the first major challenge in policy-making is identifying causal linkages, while the second is that problems themselves have become far more complex as the points of contact between previously distinct domains have multiplied due to contemporary life dynamics. Moreover, this complexity continues to intensify.
Therefore, developing policies to address a problem in a given domain requires not only an understanding of the intersection set that directly affects that domain, but also detailed knowledge of the o
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