Quests are guided micro-tasks that enable individuals and institutions to enter the Nexus Ecosystem by contributing to real-world disaster risk challenges. Designed to align with Responsible Research and Innovation (RRI) principles, Quests support foundational participation in areas such as geospatial annotation, policy translation, AI onboarding, and parametric trigger testing. Each completed Quest builds contributor credentials through eCredits and feeds into the broader Nexus micro-production workflow. Quests are essential for democratizing access to DRR, DRF, and DRI innovation—activating diverse expertise while reinforcing transparency, inclusion, and ethical engagement at the system’s edge
Quests are structured, modular tasks that introduce or guide participants through concrete challenges—ranging from satellite data annotation to parametric finance calibrations. They break down large projects into manageable segments, letting contributors learn in real time while delivering meaningful outputs that feed into open-source DRR, DRF, and DRI solutions
Anyone with a relevant interest—be it technical (e.g., data analysts, AI engineers) or domain-focused (e.g., climate scientists, municipal planners, local field responders)—can join a Quest. The system is built to accommodate multi-level expertise, from novices who want to earn eCredits for simpler tasks to advanced researchers working toward pCredits or vCredits
Each Quest is aligned with a real-world risk application:
DRR Quests might involve hazard mapping or early warning improvement;
DRF Quests focus on parametric financing and insurance triggers;
DRI Quests tackle data analytics, AI modeling, or geospatial intelligence.
By completing relevant tasks, participants actively strengthen these critical domains with open data layers, validated models, or improved operational procedures.
The MPM breaks down large, complex risk innovation goals into a series of small, trackable work units (Quests). This approach not only provides quick wins and iterative improvements but also fosters continuous peer-driven engagement. Participants can seamlessly progress from initial engagement tasks to more advanced modules—earning eCredits, pCredits, and eventually vCredits as their contributions grow in depth and significance
Each Quest is structured to incorporate disclaimers about data integrity, cultural and local sovereignty, equity of coverage, and potential algorithmic biases. In practice, this means including disclaimers about incomplete data or uncertain thresholds, verifying local input or ground truth, and systematically inviting peer review to eliminate hidden biases. Thus, Quests ensure that all innovation remains transparent, inclusive, and ethically aligned
It depends on the technical tier of a Quest. Some Quests may require basic familiarity with data labeling or simple script usage, while advanced Quests can involve specialized geospatial platforms, AI frameworks, or parametric simulation scripts. Each Quest lists recommended software, skill sets, and knowledge references (e.g., mapping tools, data cleaning scripts) to help you prepare effectively
Completion of a Quest yields a combination of eCredits, pCredits, or partial vCredits, reflecting different levels of engagement, participation, and validation. These credits help track your progression, unlock advanced resources or Bounties, and grant you more influence (e.g., proposal rights, governance roles) in the broader ecosystem. Additionally, completing Quests often builds tangible portfolio pieces (e.g., validated data layers or parametric modules) recognized across the Nexus Platforms
Most Quests have built-in peer collaboration steps. For instance, hazard mapping Quests might require multiple experts to verify polygon accuracy; parametric finance Quests might need local feedback on threshold fairness. Once the peer (or small group) endorses your submission, the system logs partial or full validation credits and awards vCredits to validators. This peer-driven environment ensures multiple sets of eyes catch mistakes or biases early
Yes. Many Quests are iterative, meaning new data sources or revised thresholds can trigger updated Quests. For instance, hazard zones might need reannotation after major environmental changes (landslides, deforestation). Similarly, parametric instruments may be re-benchmarked if climate data or coverage demands shift. This ensures the open, evolving nature of DRR, DRF, and DRI solutions remains current with real-world shifts
Participants, institutions, or local communities of GRA can submit Quest proposals through official channels (platform committees or designated working groups). Proposals must outline the real-world impact, identify the skill sets involved, and demonstrate how the tasks connect to DRR, DRF, or DRI objectives under RRI guidelines. Following a short approval cycle, your Quest can be published, enabling others to join, collaborate, and enrich the NE.