We describe the Bangsamoro Data Challenge, a platform for collaboration, ideation, and solution d... more We describe the Bangsamoro Data Challenge, a platform for collaboration, ideation, and solution development to solve social issues in the Bangsamoro Autonomous Region of Muslim Mindanao (BARMM) the Philippines. The challenge invited data enthusiasts, students, and working professionals to create solutions by utilizing the publicly-available datasets such as government, satellite, climate, health, agriculture, and local data. We discuss the history, relevance, process and impact of this platform, as well as the current status and potential of the prototypes generated by the exercise. The success of the challenge has paved the path towards data-driven development of the BARMM.
This paper presents Project AEDES, a big data early warning, and surveillance system for dengue. ... more This paper presents Project AEDES, a big data early warning, and surveillance system for dengue. The project utilizes Google Search Trends to detect public interest and panics related to dengue. Using Google Search Trends, precipitation, and temperature readings from climate data, the system nowcasts probable dengue cases and dengue-related deaths. The system utilizes FAPAR, NDVI, and NDWI readings from remote sensing to detect likely mosquito hotspots to prioritize interventions. We discuss the origin and development of the project and recent developments. We also discuss the current state of development and directions for further work.
SSRN INFORMATION SYSTEMS: BEHAVIORAL & SOCIAL METHODS eJOURNAL, 2021
Objectives. Infodemics of false information on social media is a growing societal problem, aggrav... more Objectives. Infodemics of false information on social media is a growing societal problem, aggravated by the occurrence of the COVID-19 pandemic. The development of infodemics has characteristic resemblances to epidemics of infectious diseases. This paper presents several methodologies which aim to measure the extent and development of infodemics through the lens of epidemiology. Methods. Time varying R was used as a measure for the infectiousness of the infodemic, topic modeling was used to create topic clouds and topic similarity heat maps, while network analysis was used to create directed and undirected graphs to identify super-spreader and multiple carrier communities on social media. Results. Forty-two (42) latent topics were discovered. Reproductive trends for a specific topic were observed to have significantly higher peaks (Rt 4-5) than general misinformation (Rt 1-3). From a sample of social media misinformation posts, a total of 385 groups and 804 connections were found w...
We describe the Bangsamoro Data Challenge, a platform for collaboration, ideation, and solution d... more We describe the Bangsamoro Data Challenge, a platform for collaboration, ideation, and solution development to solve social issues in the Bangsamoro Autonomous Region of Muslim Mindanao (BARMM) the Philippines. The challenge invited data enthusiasts, students, and working professionals to create solutions by utilizing the publicly-available datasets such as government, satellite, climate, health, agriculture, and local data. We discuss the history, relevance, process and impact of this platform, as well as the current status and potential of the prototypes generated by the exercise. The success of the challenge has paved the path towards data-driven development of the BARMM.
This paper presents Project AEDES, a big data early warning, and surveillance system for dengue. ... more This paper presents Project AEDES, a big data early warning, and surveillance system for dengue. The project utilizes Google Search Trends to detect public interest and panics related to dengue. Using Google Search Trends, precipitation, and temperature readings from climate data, the system nowcasts probable dengue cases and dengue-related deaths. The system utilizes FAPAR, NDVI, and NDWI readings from remote sensing to detect likely mosquito hotspots to prioritize interventions. We discuss the origin and development of the project and recent developments. We also discuss the current state of development and directions for further work.
SSRN INFORMATION SYSTEMS: BEHAVIORAL & SOCIAL METHODS eJOURNAL, 2021
Objectives. Infodemics of false information on social media is a growing societal problem, aggrav... more Objectives. Infodemics of false information on social media is a growing societal problem, aggravated by the occurrence of the COVID-19 pandemic. The development of infodemics has characteristic resemblances to epidemics of infectious diseases. This paper presents several methodologies which aim to measure the extent and development of infodemics through the lens of epidemiology. Methods. Time varying R was used as a measure for the infectiousness of the infodemic, topic modeling was used to create topic clouds and topic similarity heat maps, while network analysis was used to create directed and undirected graphs to identify super-spreader and multiple carrier communities on social media. Results. Forty-two (42) latent topics were discovered. Reproductive trends for a specific topic were observed to have significantly higher peaks (Rt 4-5) than general misinformation (Rt 1-3). From a sample of social media misinformation posts, a total of 385 groups and 804 connections were found w...
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Papers by Mark Toledo