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Human Computation for Disaster Response
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Disaster response and public health are mature disciplines and have already benefited extensively from ML methodology.
“Furthermore, while crises may be some of the most distressing consequences of climate change, disaster response and public health are mature disciplines in their own right, and have already benefited extensively from ML methodology [118,531,862].”
From Tackling climate change with machine learning (2023) · cites this paper as [531]
Citations
Cited by
Sorted by citations
Whittaker, J., McLennan, B. J., & Handmer, J. W. (2015) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2015.07.010 · Cited by 552
“Meier [55] describes how graduate students at Tufts University in Massachusetts launched a live crisis map within hours of the 2010 Haiti earthquake to document the extent of the damage and the affected population′s urgent needs.”
BackgroundTackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336
“[623] Patrick Meier.”
BackgroundMunawar, H. S., Qayyum, S., Ullah, F., & Sepasgozar, S. M. E. (2020) · Big Data and Cognitive Computing · doi:10.3390/bdcc4020004 · Cited by 194
“The QCRI then provides an immediate solution to overcome the crisis [122].”
BackgroundMichelucci, P. E. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8806-4 · Cited by 167
Beria, P., & Lunkar, V. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102616 · Cited by 146
“Meier (2013) performed an elaborate examination of the available case studies describing specific crowdsourcing methodologies applied to support disaster relief, with special attention to challenges, benefits and outcomes.”
BackgroundBaruch, A., May, A. J., & Yu, D. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.039 · Cited by 159
“These tags are collated, processed for consensus and used for a range of targeted campaigns, including assisting in disaster response (Meier, 2013), tracking wildfires (Hansen, 2015) and even searching for the missing Malaysian”
BackgroundInfluentialSusha, I., Grönlund, Å., & van Tulder, R. J. M. (2018) · Government Information Quarterly · doi:10.1016/j.giq.2018.11.002 · Cited by 69
Williams, S. (2020) · The MIT Press eBooks · doi:10.7551/mitpress/12261.001.0001 · Cited by 65
Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations
Novikov, G., Trekin, A., Potapov, G., Ignatiev, V., & Burnaev, E. V. (2018) · Lecture notes in business information processing · doi:10.1007/978-3-319-93931-5_25 · Cited by 55
Remotely measuring populations during a crisis by overlaying two data sources
Bharti, N., Lu, X. B., Bengtsson, L., Wetter, E. W., & Tatem, A. J. (2015) · International Health · doi:10.1093/inthealth/ihv003 · Cited by 42
Operational framework for flood risk communication
Intrieri, E., Dotta, G., Fontanelli, K., Bianchini, C., Bardi, F., Campatelli, F., & Casagli, N. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101510 · Cited by 37
“this platform to inform themselves and to offer their help, as for the digital volunteers who used the tweets to create an online map to find people and their main needs [41].”
BackgroundError and attack tolerance of collective problem solving: The DARPA Shredder Challenge
Stefanovitch, N., Alshamsi, A., Cebrián, M., & Rahwan, I. (2014) · EPJ Data Science · doi:10.1140/epjds/s13688-014-0013-1 · Cited by 29
A Community Perspective on Resilience Analytics: A Visual Analysis of Community Mood
López-Cuevas, A., Ramírez-Márquez, J., Sánchez-Ante, G., & Barker, K. (2017) · Risk Analysis · doi:10.1111/risa.12788 · Cited by 27
“(8,9) In particular, efforts have been directed to user-generated content on social media to identify damaged zones in disasters.”
BackgroundThe Role of Volunteer Citizens in Response to Accidents and Disasters
Aminizade, M., Moghaddam, M. N., Jam, M. B., Shamsi, M., Majidi, N., Amanat, N., & Hoseini, S. H. (2017) · Health in Emergencies & Disasters Quarterly · doi:10.18869/nrip.hdq.2.3.107 · Cited by 25
“Even the trained subjects, volunteer, and ordinary citizens engaged into such activities to help at the time of accident and disasters are considered intruders by the authorities [28, 29].”
BackgroundState of the World’s Volunteerism Report 2018
Volunteers, U. N. (2018) · State of the World's Volunteerism Report · doi:10.18356/264258e9-en · Cited by 23
Basheva, O. A., & Ермолаева, П. О. (2020) · VESTNIK INSTITUTA SOTZIOLOGII · doi:10.19181/vis.2020.11.1.625 · Cited by 21
Human Computation and Convergence
Michelucci, P. E. (2016) · Springer eBooks · doi:10.1007/978-3-319-07052-0_35 · Cited by 24
“The other two distributed sensing methods described above, people as sensors and collective sensing , have been useful in crisis relief efforts(Meier, 2013).”
BackgroundTwitter and Disasters: A Social Resilience Fingerprint
Rachunok, B., Bennett, J. B., & Nateghi, R. (2019) · IEEE Access · doi:10.1109/access.2019.2914797 · Cited by 20
“Recent work has hypothesized that online social networks (OSNs) can fill this gap in the study of resilience by incorporating the direct measurement of individuals in a community throughout the response to a major disruption [13], [14].”
Background(2014) · Choice Reviews Online · doi:10.5860/choice.51-6796 · Cited by 17
Knoth, C., Slimani, S., Appel, M., et al. (2018) · Applied Geography · doi:10.1016/j.apgeog.2018.05.016 · Cited by 10
“In these examples, the former mobilized the volunteer workforce while the ladder provided the technological platform for the collaborative mapping and the satellite imagery to conduct the analysis on (Meier, 2013).”
BackgroundUnderstanding Crowdsourcing and Volunteer Engagement
Roberts, S., & Doyle, T. (2017) · Geophysical monograph · doi:10.1002/9781119217930.ch9 · Cited by 9
Roles of Remote Sensing Technologies for Disaster Resilience
Chen, Z., Glasscoe, M. T., Eguchi, R. T., Huyck, C. K., & Kar, B. (2022) · American Society of Civil Engineers eBooks · doi:10.1061/9780784415900.ch5 · Cited by 5
Human computation requires and enables a new approach to ethical reviewPreprint
Vepřek, L. H., Seymour, P. J., & Michelucci, P. E. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.10754 · Cited by 4
“Real-world human computation systems are already advancing cancer[3], HIV[4], and Alzheimer’s[5] research, diagnosing malaria[6] in sub-Saharan Africa, reducing female genital mutilation in Tanzania[7], predicting flood effects in Togo[8], endowing the blind with real-time scene understanding[9], expediting disaster r…”
BackgroundBasheva, O. A., & Ермолаева, П. О. (2025) · Palgrave Studies in Sustainable Futures. · doi:10.1007/978-3-031-55387-5_26 · Cited by 2
Micro-tasking as a method for human assessment and quality control in a geospatial data import
Sveen, A. F., Erichsen, A. S. S., & Midtbø, T. (2019) · Cartography and Geographic Information Science · doi:10.1080/15230406.2019.1659187 · Cited by 2
“Meier (2013) labels micro-tasking “ smart crowdsourcing ” .”
BackgroundBasheva, O. A., & Ермолаева, П. О. (2024) · Palgrave Studies in Sustainable Futures. · doi:10.1007/978-3-031-30231-2_26-1 · Cited by 1
Collective Action and Human Computation
Novak, J. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8806-4_33 · Cited by 1
Rossi, C., & Frisiello, A. (2024) · doi:10.1002/9781119741374.ch12 · Cited by 1
Measuring Social Responsiveness for Improved Handling of Extreme Situations
Butakov, N. A., Fatkulin, T., & Voloshin, D. V. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-93698-7_26
“Users willing to help can participate in the information aggregation, sharing, manual analysis of data [10], translation [11] and other activities.”
BackgroundHuman Computation and Convergence
Michelucci, P. E. (2014) · Springer eBooks · doi:10.1007/978-3-319-04033-2_35-1
Synergizing Geoweb and Digital Humanitarian ResearchPreprint
Burns, R. (2017) · doi:10.31235/osf.io/9xpkw
Synergizing Geoweb and Digital Humanitarian Research
Burns, R. (2018) · UNP - Nebraska eBooks · doi:10.2307/j.ctt21h4z6m.16
Metadata
- Authors
- Meier, P.
- Affiliations
- Qatar Foundation (QA)
- Corresponding author
- Meier, Patrick
- ORCID
- Meier, Patrick
- Venue
- Handbook of Human Computation
- Publisher
- Springer New York
- Published
- 2013
- Pages
- 95-104
- OpenAlex
- W328684559
- Cited by
- 36
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2022: 3 · 2020: 6 · 2019: 2 · 2018: 6 · 2017: 5 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 2
- FWCI
- 18.94
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Social Sciences › Communication › Public Relations and Crisis Communication
- Keywords
- human computation, disaster response, crowdsourcing, social media data, humanitarian aid, disaster relief, adaptive systems, gamification, crisis response
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