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Hybrid community participation in crowdsourced early warning systems

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Hybrid community participation in crowdsourced early warning systems. / Lalone, Nicolas; Tapia, Andrea; Case, Nathan; MacDonald, Elizabeth ; Heavner, Matt.

Proceedings of the ISCRAM 2015 Conference - Kristiansand, May 24-27. ed. / Leysia Palen; Monika Buscher; Tina Comes; Amanda Hughes. Kristiansand : ISCRAM, 2015. 9.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Lalone, N, Tapia, A, Case, N, MacDonald, E & Heavner, M 2015, Hybrid community participation in crowdsourced early warning systems. in L Palen, M Buscher, T Comes & A Hughes (eds), Proceedings of the ISCRAM 2015 Conference - Kristiansand, May 24-27., 9, ISCRAM, Kristiansand. <http://iscram2015.uia.no/wp-content/uploads/2015/05/9-b.pdf>

APA

Lalone, N., Tapia, A., Case, N., MacDonald, E., & Heavner, M. (2015). Hybrid community participation in crowdsourced early warning systems. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), Proceedings of the ISCRAM 2015 Conference - Kristiansand, May 24-27 [9] ISCRAM. http://iscram2015.uia.no/wp-content/uploads/2015/05/9-b.pdf

Vancouver

Lalone N, Tapia A, Case N, MacDonald E, Heavner M. Hybrid community participation in crowdsourced early warning systems. In Palen L, Buscher M, Comes T, Hughes A, editors, Proceedings of the ISCRAM 2015 Conference - Kristiansand, May 24-27. Kristiansand: ISCRAM. 2015. 9

Author

Lalone, Nicolas ; Tapia, Andrea ; Case, Nathan ; MacDonald, Elizabeth ; Heavner, Matt. / Hybrid community participation in crowdsourced early warning systems. Proceedings of the ISCRAM 2015 Conference - Kristiansand, May 24-27. editor / Leysia Palen ; Monika Buscher ; Tina Comes ; Amanda Hughes. Kristiansand : ISCRAM, 2015.

Bibtex

@inproceedings{fb336f59c1ba422c9264bc3692d0a988,
title = "Hybrid community participation in crowdsourced early warning systems",
abstract = "In this paper we present Aurorasaurus: a website, a mobile application, and a citizen science initiative that allows a community of users to report and verify sightings of the Aurora Borealis. Through ad-hoc data indirectly offered through social media, a community of citizen scientists verify sightings of the Aurora Borealis. These verified data are tested against currently existing aurora-forecasting models. The insights these data provide are transformed into map and text-based forms. In addition, notifications are sent to interested participants in a timely manner. This is a design test-bed for an early warning system (EWS) that is capable of detecting and communicating the earliest signs of disaster to community members in near real time. Most importantly, this system incorporates community participation in improving the quality of data mined from Twitter and direct community contributions.",
author = "Nicolas Lalone and Andrea Tapia and Nathan Case and Elizabeth MacDonald and Matt Heavner",
year = "2015",
month = may,
language = "English",
editor = "Leysia Palen and Monika Buscher and Comes, {Tina } and Hughes, {Amanda }",
booktitle = "Proceedings of the ISCRAM 2015 Conference - Kristiansand, May 24-27",
publisher = "ISCRAM",

}

RIS

TY - GEN

T1 - Hybrid community participation in crowdsourced early warning systems

AU - Lalone, Nicolas

AU - Tapia, Andrea

AU - Case, Nathan

AU - MacDonald, Elizabeth

AU - Heavner, Matt

PY - 2015/5

Y1 - 2015/5

N2 - In this paper we present Aurorasaurus: a website, a mobile application, and a citizen science initiative that allows a community of users to report and verify sightings of the Aurora Borealis. Through ad-hoc data indirectly offered through social media, a community of citizen scientists verify sightings of the Aurora Borealis. These verified data are tested against currently existing aurora-forecasting models. The insights these data provide are transformed into map and text-based forms. In addition, notifications are sent to interested participants in a timely manner. This is a design test-bed for an early warning system (EWS) that is capable of detecting and communicating the earliest signs of disaster to community members in near real time. Most importantly, this system incorporates community participation in improving the quality of data mined from Twitter and direct community contributions.

AB - In this paper we present Aurorasaurus: a website, a mobile application, and a citizen science initiative that allows a community of users to report and verify sightings of the Aurora Borealis. Through ad-hoc data indirectly offered through social media, a community of citizen scientists verify sightings of the Aurora Borealis. These verified data are tested against currently existing aurora-forecasting models. The insights these data provide are transformed into map and text-based forms. In addition, notifications are sent to interested participants in a timely manner. This is a design test-bed for an early warning system (EWS) that is capable of detecting and communicating the earliest signs of disaster to community members in near real time. Most importantly, this system incorporates community participation in improving the quality of data mined from Twitter and direct community contributions.

M3 - Conference contribution/Paper

BT - Proceedings of the ISCRAM 2015 Conference - Kristiansand, May 24-27

A2 - Palen, Leysia

A2 - Buscher, Monika

A2 - Comes, Tina

A2 - Hughes, Amanda

PB - ISCRAM

CY - Kristiansand

ER -