
This preprint proposes a governance-centered framing of suicide as an “emotional disaster”: a systemic breakdown of emotional safety arising from failures in public institutions, social trust, and protective infrastructure. Rather than treating suicide solely as an individual pathology, the paper reframes it as a collective risk indicator that calls for governance-level prevention—through emotional safety frameworks, crisis-sensing capability, and public-interest data governance. The discussion is conceptual (not an empirical study) and is shared as a timestamped research record to support future analytical, policy, and technical development. Any reference to non-clinical emotional signals is intended to be ethically aggregated under privacy-preserving, rights-respecting governance and is not medical advice or a diagnostic tool. This framework does not attribute responsibility to specific governments or institutions, but aims to expand the analytical vocabulary available to public administration, social policy, and welfare systems seeking population-level risk detection and early intervention beyond clinical models.
early warning, data-driven policy, public sector risk, welfare system social policy, non-clinical data, population mental health, emotional disaster, administrative failure, early intervention policy, public administration, social risk monitoring, public governance, policy failure, emotional safety, risk detection, governance, public infrastructure, systemic risk, algorithmic governance, governance failure, suicide prevention
early warning, data-driven policy, public sector risk, welfare system social policy, non-clinical data, population mental health, emotional disaster, administrative failure, early intervention policy, public administration, social risk monitoring, public governance, policy failure, emotional safety, risk detection, governance, public infrastructure, systemic risk, algorithmic governance, governance failure, suicide prevention
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
