Building A Dataset Estimating The Real-time Cost Of Global Conflicts — Looking For Feedback On Structure/methodology

I’ve been working on a small project to estimate and standardize the cost of ongoing global conflicts into a usable dataset.

The goal is to take disparate public sources (SIPRI, World Bank, government data, etc.) and normalize them into something consistent, then convert into time-based metrics (per day / hour / minute).

Current structure (simplified):

– conflict / region

– estimated annual cost

– derived daily / hourly / per-minute rates

– last updated timestamp

– source references

A couple of challenges I’m running into:

– separating baseline military spending vs conflict-attributable cost

– inconsistent data quality across regions

– how to represent uncertainty without making the dataset unusable

I’ve put a simple front-end on top of it here:

https://conflictcost.org

Would really appreciate input on:

– how you’d structure this dataset differently

– whether there are better source datasets I should be using

– how you’d handle uncertainty / confidence levels in something like this

Happy to share more detail if helpful.