Institutions lack privacy-safe insight into technology-facilitated gender-based violence (TFGBV) trends; women and girls lack opt-in routing to trusted support/opportunities and safe innovation spaces
GenderSight is an API-first, privacy-preserving multimodal system designed as governed public-interest infrastructure with three tightly separated service surfaces: (i) institutional narrative intelligence on technology-facilitated gender-based violence (TFGBV), (ii) consent-driven support and opportunity routing for women and girls, and (iii) women’s innovation enablement through moderated Virtual Green Rooms.
At its analytic core, GenderSight fuses text and image signals to characterize TFGBV narrative patterns, prevalence shifts, and trend dynamics in a manner that is decision-relevant yet structurally constrained against individual surveillance. This is operationalized through explicit trust boundaries between data domains, aggregate-first institutional reporting, controlled release policies (including cohort-protection logic and configurable privacy constraints), and enforceable governance controls such as role-based access control, auditability, policy/version traceability, and human-in-the-loop escalation for high-risk or low-confidence outputs. The institutional interface is therefore engineered to support population-level situational awareness and response planning without exposing person-level records or enabling cross-domain linkage.
In parallel, GenderSight addresses the practical gap between harm visibility and real-world assistance via an opt-in routing surface that connects women and girls to verified support and opportunity resources through consent-scoped workflows and minimal data disclosure. This routing capability is architected as a distinct domain from institutional analytics so that support seeking cannot be repurposed into an indirect identification channel.
The Virtual Green Rooms extend the system beyond monitoring and referral into sustained empowerment: they provide moderated, pathway-oriented collaboration environments for women innovators and entrepreneurs, supporting mentorship, structured teaming, partner discovery, and opportunity formation under governance and safety constraints. Within the paper’s logic, these Green Rooms are SDG-5 anchored but explicitly cross-cutting in applicability: the mechanism can host SDG-aligned innovation tracks across diverse development priorities (e.g., education, livelihoods, health, climate resilience, and governance) while maintaining a consistent safety model—moderation, access control, and accountability—so participation and venture formation remain protected across thematic domains.
The evaluation framing applies a Zimbabwe three-strata design with explicitly simulated quantitative results to demonstrate the measurement logic, robustness slicing, and governance-aware reporting needed for subsequent field validation. Overall, GenderSight is presented as an integrated socio-technical pipeline: multimodal narrative intelligence with privacy-by-construction, consent-based support routing, and safeguarded innovation enablement, unified by enforceable governance.
GenderSight_Paper_FINAL.pdf