Seeds Yet to Take Root:

Not every scholarly endeavor reaches the stage of funded implementation, yet each proposal embodies significant intellectual labor, disciplinary insight, and collaborative commitment. This page (Seeds Yet to Take Root) presents a transparent record of research concepts that were formally proposed for funding but remained unrealized—whether due to shifting agency priorities, limited funding cycles, or evolving national research thrusts. These proposals retain intrinsic academic value: they articulate well-defined problems, imagine strategic methodologies, and map out contributions to scientific and societal advancement. In making them visible, this page acknowledges that the pursuit of knowledge is shaped not only by completed projects but also by the ideas that continue to wait patiently for fertile ground.

Beyond documenting intellectual effort, this list also serves as a transparent proof of ownership of the research ideas, methods, and novelties embedded in each proposal. Publicly presenting these concepts safeguards Jaderick's and his collaborators' intellectual work and help prevent instances in which others—intentionally or inadvertently—submit similar proposals as their own, a reality that has occurred in the broader research landscape.

The list below gathers project proposals that were submitted across various funding programs and collaborative networks. Some were evaluated as fundable but deferred; others were outpaced by changes in policy direction; still others remain aspirational, poised for future refinement or re-envisioning. Together, they capture the breadth of inquiry, interdisciplinary imagination, and forward-looking orientation characteristic of Jaderick’s research practice.

• Development of information communication technology (ICT) platforms for near real-time reporting of acute fever and Android-based mosquito vector identification and vector volume estimation

Role: Project Leader

Under the research program Operational platform Using Telesurveillance for tracking Dengue virus infections and its mosquito vectors in the Philippines (OUT-DENGUE) with Prof. Mary Grace B. Dacuma, Ph.D. as program leader.

Proposed to: DOST-GIA, PCHRD-Monitored (PhP40.1M, 3 Years)

The proposed project seeks to develop integrated ICT platforms that enable near real-time reporting of acute fever cases while simultaneously providing Android-based tools for mosquito vector identification and volume estimation. It envisions a digital disease-surveillance environment where citizens and local health workers can rapidly log symptomatic cases, giving public health authorities immediate insight into emerging fever clusters. Alongside this, a mobile application will use image-based recognition to distinguish mosquito species of public health importance and estimate their local densities using standardized photographic inputs. By linking human symptom reports with spatially tagged vector data, the system aims to generate actionable early-warning signals that enhance outbreak preparedness and response. This unified approach strengthens community-level epidemiological monitoring, empowers frontline health workers, and supports evidence-driven vector control strategies. Ultimately, the platform aspires to provide a scalable, low-cost digital infrastructure that advances modern public health surveillance in the Philippines.

• SPEED UP: Sustainable platform for escalating malaria elimination through data integration technology to promote rapid inter-agency response towards high throughput malaria diagnosis, treatment, surveillance and monitoring in resource-poor remote upland communities of the Philippines

Role: Co-proponent (with Prof. Mary Grace B. Dacuma, Ph.D. as Project Leader)

Proposed to: Bill and Melinda Gates Foundation (USD 100K, 18 Months)

This research initiative focuses on the development and implementation of the SPEED UP framework, a sustainable digital platform designed to accelerate malaria elimination strategies across the Philippines. By leveraging advanced data integration technology, the project aims to bridge communication gaps and facilitate a cohesive inter-agency response mechanism. The study specifically targets the logistical challenges inherent in resource-poor, remote upland communities, deploying high-throughput protocols to streamline diagnosis, treatment, and patient monitoring in these geographically isolated areas. Furthermore, the research evaluates the system's capacity to enhance real-time surveillance, ensuring that health data is synthesized rapidly for immediate decision-making. Ultimately, this project seeks to establish a scalable model for health interventions that ensures long-term sustainability and responsiveness in the fight against vector-borne diseases.

• Novel high-throughput integrated real-time surveillance system of dengue virus and other arboviruses like chikungunya and Zika viruses that present as dengue-like illnesses in the Philippines

Role: Co-proponent, with Prof. Mary Grace B. Dacuma, Ph.D. as Project Leader

Proposed to: DOST-GIA, PCHRD-Monitored (PhP34.5M, 3 Years)

This research establishes a novel, high-throughput surveillance framework designed to address the diagnostic challenges posed by the co-circulation of dengue, chikungunya, and Zika viruses in the Philippines. Recognizing that these arboviruses frequently present with indistinguishable clinical symptoms—often leading to misdiagnosis as generic "dengue-like" illnesses—the project integrates advanced molecular diagnostics with real-time epidemiological monitoring. The system utilizes multiplex high-throughput screening technologies, such as automated RT-PCR or Next-Generation Sequencing (NGS), to rapidly differentiate viral etiologies from large volumes of clinical samples. Simultaneously, this laboratory data is fed into a centralized digital dashboard that aggregates geospatial and temporal case data, enabling immediate visualization of transmission hotspots. By transitioning from passive, symptom-based reporting to active, pathogen-specific surveillance, this initiative aims to significantly improve the accuracy of national health data and facilitate more precise, evidence-based vector control interventions.

• FORECAST: Agriculture, Fisheries, FOrestry, and Natural Resources Damage ProjeCtion and Rapid ASsessmenT

Role: Co-proponent (with Prof. Damasa B. Magcale-Macandog, Ph.D. as Project Leader)

Proposed to: DOST-GIA, PCIEERD-Monitored, Energy & Utilities Systems Technology (PhP68.8M, 3 Years)

This research focuses on developing and validating the FORECAST system, an integrated platform designed for advanced damage projection and rapid assessment across critical natural resource sectors in the Philippines. The core objective is to move beyond post-disaster evaluation by integrating predictive modeling techniques with real-time data to forecast the probable scale and scope of damage to agriculture, fisheries, forestry, and natural resources. The methodology involves coupling climate and hazard risk models with geospatial data layers that map resource vulnerability, allowing for the pre-event estimation of economic losses and required recovery resources. The rapid assessment component aims to provide decision-makers with actionable intelligence immediately following a hazard event, significantly improving the timeliness and precision of disaster response, resource allocation, and rehabilitation planning across affected sectors. Ultimately, FORECAST is intended to serve as a crucial tool for enhancing national resilience and food security planning against the increasing frequency of natural calamities.

• MASID: Vegetation and Built-Up Monitoring and Assessment using Satellite Imagery and Data in Laguna

Role: Co-proponent (with Prof. Damasa B. Magcale-Macandog, Ph.D. as Project Leader)

Proposed to: DOST-GIA, PCIEERD-Monitored, Emerging Technology Development (PhP12.8M, 3 Years)

The MASID project establishes a systematic monitoring and assessment protocol centered on tracking critical land cover changes across the province of Laguna. The core methodology hinges on the application of advanced satellite imagery and data processing, leveraging remote sensing and geospatial analytics to generate high-resolution, temporally relevant land use/land cover (LULC) maps. The research specifically targets two crucial indicators: the health and extent of vegetation (including forest cover and agricultural areas) and the spatial growth of built-up areas. The resulting data enables precise quantification of environmental pressures, such as deforestation rates and uncontrolled urban expansion, providing vital insights for regional planning. Ultimately, MASID is designed to supply local government units and environmental stakeholders with the objective, periodic data necessary for informed decision-making regarding sustainable development and resource management within the region.

• EcoInformatics using Crowdsourced and Big Data for Biodiversity and Food Security (EcoCrowd)

Role: Co-proponent, with Prof. Damasa B. Magcale-Macandog, Ph.D. as Project Leader

Proposed to: Philippine-California Advanced Research Institutes (PCARI) (PhP40.9M, 2 Years)

This interdisciplinary project, known as EcoCrowd, focuses on advancing ecological understanding and resource management through the integration of Crowdsourced and Big Data methodologies, collectively referred to as EcoInformatics. The primary objective is to leverage large, complex datasets—sourced from both passive data streams and active citizen science efforts—to enhance monitoring, analysis, and predictive modeling for biodiversity conservation and food security. The methodology involves developing sophisticated analytical frameworks capable of processing, cleaning, and integrating heterogeneous data, such as real-time environmental sensor readings, remote sensing inputs, and public biodiversity observations. By applying these informatics tools, the project generates actionable intelligence on species distribution, ecosystem health, and the impact of environmental changes on agricultural sustainability. Ultimately, EcoCrowd aims to empower stakeholders, from local farmers to national policymakers, with robust, real-time ecological data necessary for evidence-based decision-making in conservation and maintaining resilient food systems.

A record of ideas planted, awaiting only the right season to grow.