Validating the Voice of the Crowd During Disasters

Victorino, John Noel; Estuar, Maria Regina Justina E.; Lagmay, Alfredo Mahar Francisco

doi:10.1007/978-3-319-39931-7_29

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…Use of crowdsourced photographs to detect flooding Witherow et al, 2018a,b Use of sensors in vehicles to detect flooding Wu and Wang, 2014;De Guzman et al, 2016;Amagsila et al, 2018 Social media such as Twitter Analysis of data from Twitter or similar social media data to detect flood events or map flood extent Holderness and Turpin, 2015;Kiatpanont et al, 2016;Pandey and Natarajan, 2016;Yadav and Rahman, 2016;Albahari and Schultz, 2017;Arthur et al, 2018;Feng and Sester, 2018;Lin et al, 2018;Yang et al, 2018;Bhuvaneswari and Valliyammai, 2019 Online reporting Use of online applications such as Ushahidi or bespoke applications to report flooding Koswatte et al, 2015Koswatte et al, , 2016Koswatte et al, , 2018Ludwig et al, 2015;Naik, 2016;Victorino et al, 2016;Pánek et al, 2017 Mobile apps Use of mobile apps to report flooding Liu et al, 2011;Victorino and Estuar, 2014;Le Coz et al, 2016;Victorino et al, 2016;Middelhoff et al, 2017;Minn et al, 2017;Sahay et al, 2017;Hendricks et al, 2018;Wang et al, 2018;Yabut et al, 2018 Kutija et al, 2014;Blumberg et al, 2015;Yu et al, 2016;Lewis and Silkstone, 2017;Loftis et al, 2017 Integrated systems − Systems for integrating sensors, authoritative data and crowdsourced data for flood management and early warning ...…”

Section: During Flood Events Automated Flood Detectionmentioning

confidence: 99%

“…Ushahidi was developed in Kenya as a website for crowdsourcing and sharing of information (Okolloh, 2009); in this context it has been used to report floods in Australia (Koswatte et al, 2015(Koswatte et al, , 2016(Koswatte et al, , 2018 and to develop a crisis map of the Czechia during the 2013 floods (Pánek et al, 2017). Other online reporting systems include the Flooded Streets application for reporting street flooding in Chennai during the 2015 floods (Naik, 2016), the CrowdMonitor application, which assigns data gathering tasks to citizens during an emergency of different kinds, including any kind of flooding (Ludwig et al, 2015) and flood reporting via the Philippines Flood Hazard Maps application (Victorino et al, 2016). The latter application is also supported by the Flood Patrol mobile app (Victorino and Estuar, 2014).…”

Section: Online Reporting and Mobile Appsmentioning

confidence: 99%

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A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding

See

2019

Front. Earth Sci.

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Pluvial flooding can have devastating effects, both in terms of loss of life and damage. Predicting pluvial floods is difficult and many cities do not have a hydrodynamic model or an early warning system in place. Citizen science and crowdsourcing have the potential for contributing to early warning systems (EWS) and can also provide data for validating flood forecasting models. Although there are increasing applications of citizen science and crowdsourcing in fluvial hydrology, less is known about activities related to pluvial flooding. Hence the aim of this paper is to review current activities in citizen science and crowdsourcing with respect to applications of pluvial flooding. Based on a search in Scopus, the papers were first filtered for relevant content and then classified into four main themes. The first two themes were divided into (i) applications relevant during a flood event, which includes automated street flooding detection using crowdsourced photographs and sensors, analysis of social media, and online and mobile applications for flood reporting; and (ii) applications related to post-flood events. The use of citizen science and crowdsourcing for model development and validation is the third theme while the development of integrated systems is theme four. All four main areas of research have the potential to contribute to EWS and build community resilience. Moreover, developments in one will benefit others, e.g., further developments in flood reporting applications and automated flood detection systems will yield data useful for model validation.

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Section: During Flood Events Automated Flood Detectionmentioning

confidence: 99%

Section: Online Reporting and Mobile Appsmentioning

confidence: 99%

A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding

See

2019

Front. Earth Sci.

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“…Citizen science or crowdsourcing, in recent times, is regarded as one of the clever alternative approaches capable of providing information at ner space-and time-scales. (Hirata et al, 2015;Victorino et al, 2016). Solicited crowdsourcing, i.e., recruiting citizens to deliver organized observations played a key role in developing a long precipitation data base, i.e., cooperative observer network for the entire US (https://www.weather.gov/coop/overview).…”

Section: Mainmentioning

confidence: 99%

Twitter - a new citizen science solution for urban flood database #urban floods #flood database

Ponukumati

Regonda

2023

Preprint

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High spatial heterogeneous behavior of urban floods offers challenges in its monitoring, modeling and assessment, and lack of flood database further increases complexity. This study proposes a twitter-based framework to develop a flood database. Three flood events differing in rainfall characteristics are selected, and event-specific flood inventories are developed using the proposed framework. The inventory was validated with newspaper-based information. Analysis of tweets imply a broad agreement among both twitter- and newspaper- based flooding instances, however, highlight the need to include identifiable location information in tweets. Further, the results suggest floating and using of hashtags, and importantly active participation of individuals and various agencies aids in the development of reliable and accurate flood inventory of decent size. Integration of artificial intelligence and machine learning techniques allows to develop cost-effective flood inventories of finer space-time resolutions with minimized manual efforts for many cities around the world; the developed flood inventories make many urban areas data rich; thus it decreases complexity of urban flood relevant challenges at least by one important dimension, thereby plays a key role in modeling and mitigation efforts.

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“…Training volunteers may increase accuracy or scientific reliability of their contributions and is a typical component of traditional citizen science projects (Flanagin and Metzger 2008;Tang and Liu 2016). In the Philippines, an automated process for validating crowdsourced flood reports compared them with nearby reports and with weather station data, identifying reports as correct if they fell within a computed confidence interval (Victorino et al 2016). Structuring questions so that observations are as objective as possible, asking about data rather than content, such as a measurement of weight or size (Gollan et al 2012), precipitation or number of species of grass within a frame, could provide opportunities to cross-check accuracy.…”

Section: Crowdsourcing and Credibilitymentioning

confidence: 99%

“…It would provide much more context than clusters of reports mainly submitted when the prospect of federal assistance creates a financial incentive. Comparing different types of observer reports, such as CoCoRaHS and CMOR, from similar spatial areas could also provide a means of calibrating observations (Gollan et al 2012;Victorino et al 2016;Wright et al 2015).…”

Section: Possible Responsesmentioning

confidence: 99%

Whose Ground Truth Is It? Harvesting Lessons from Missouri’s 2018 Bumper Crop of Drought Observations

Smith

Burbach

Hayes

et al. 2021

Weather, Climate, and Society

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Drought-related decision making and policy should go beyond numeric hydro-meteorological data, incorporating information on how drought affects people, livelihoods and ecosystems. But the effects of drought are nested within environmental and human systems, and relevant data may not exist in readily accessible form. For example, drought may reduce forage growth, compounded by both late-season freezes and management decisions. An effort to gather crowdsourced drought observations in Missouri in 2018 yielded a much higher number of observations than previous related efforts. Here we examine 1) the interests, circumstances, history and recruitment messaging that coincided to produce a high number of reports in a short time; 2) whether and how information from volunteer observers was useful to state decision-makers and to U.S. Drought Monitor (USDM) authors; and 3) potential for complementary use of stakeholder and citizen science reports in assessing trustworthiness of volunteer-provided information. State officials and the Cattlemen’s Association made requests for reports, clearly linked to improving the accuracy of the USDM and the related financial benefit. Well-timed requests provided a focus for people’s energy and a reason to invest their time. State officials made use of the dense spatial coverage that observers provided. USDM authors were very cautious about a surge of reports coinciding closely with financial incentives linked to the Livestock Forage Disaster program. An after-the-fact comparison between stakeholder reports and parallel citizen science reports suggests that the two could be complementary, with potential for use protocols developed to facilitate real-time use.

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Validating the Voice of the Crowd During Disasters

Cited by 6 publications

References 5 publications

A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding

A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding

Twitter - a new citizen science solution for urban flood database #urban floods #flood database

Whose Ground Truth Is It? Harvesting Lessons from Missouri’s 2018 Bumper Crop of Drought Observations

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