The law functions as a reflexive societal institution; a construct of society, it not only reflects society, but incorporates the assumptions, priorities, and values of those who act within it, and reproduces that society along those lines (Cobbe)
With the significantly greater quantification of observable phenomena in our society, and more accurate pattern recognition using new technologies and methods, our understanding and representation of society shifts. (Alarie, 2016) It follows, that law, policy and the whole system of social governance must shift with it.
So how do you use the greater quantification of observable phenomena (aka “data”) to inform and shape policy
To use data for policy formulation, especially with NLP, here’s how you can break it down:
How it works: You start with a clearly defined policy goal or hypothesis. Then you use data to validate or invalidate the idea, refine it, and shape it into effective policy.
Example: Hypothesis: "Introducing bike lanes in urban areas reduces traffic congestion."Data Use: Collect urban mobility data, traffic patterns, accident statistics, pollution levels, and public sentiment data to test if this policy achieves the intended outcomes.
When to use:
How it works: You start from the data itself. Exploratory analysis can identify hidden patterns, new correlations, or emerging trends, generating novel policy opportunities or previously unidentified challenges.
Example: Analyzing urban mobility data might reveal unexpected congestion hotspots or under-served transport routes. This insight could lead to new policy initiatives such as bus route adjustments or infrastructure investments.
When to use:
| Aspect | Policy-First Approach | Data-First Approach |
|---|---|---|
| Starting Point | Defined problem/hypothesis | Exploration and discovery from data |
| Data Use | Confirmatory | Exploratory |
| Policy Outcome | Incremental, targeted | Innovative, unexpected outcomes |
| Risk | Bias toward preconceived solutions | Risk of data fishing or misinterpretation |
| Benefits | Clear evaluation, easier communication | Opportunity for innovation, adaptability |