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    Rights statement: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3290607.3299047

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SENSEI: Harnessing Community Wisdom for Local Environmental Monitoring in Finland

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

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SENSEI : Harnessing Community Wisdom for Local Environmental Monitoring in Finland. / Palacin-Silva, Maria; Ferrario, Maria Angela Felicita Cristina; Wolff, Annika; Kupiainen, Niina; Ginnane, Síle; Happonen, Ari; Piutunen, Sara.

CHI’19 Extended Abstracts,of the 2019 CHI Conference on Human Factors in Computing Systems. New York : ACM, 2019. CS01.

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

Harvard

Palacin-Silva, M, Ferrario, MAFC, Wolff, A, Kupiainen, N, Ginnane, S, Happonen, A & Piutunen, S 2019, SENSEI: Harnessing Community Wisdom for Local Environmental Monitoring in Finland. in CHI’19 Extended Abstracts,of the 2019 CHI Conference on Human Factors in Computing Systems., CS01, ACM, New York, ACM CHI Conference on Human Factors in Computing Systems, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290607.3299047

APA

Palacin-Silva, M., Ferrario, M. A. F. C., Wolff, A., Kupiainen, N., Ginnane, S., Happonen, A., & Piutunen, S. (2019). SENSEI: Harnessing Community Wisdom for Local Environmental Monitoring in Finland. In CHI’19 Extended Abstracts,of the 2019 CHI Conference on Human Factors in Computing Systems [CS01] ACM. https://doi.org/10.1145/3290607.3299047

Vancouver

Palacin-Silva M, Ferrario MAFC, Wolff A, Kupiainen N, Ginnane S, Happonen A et al. SENSEI: Harnessing Community Wisdom for Local Environmental Monitoring in Finland. In CHI’19 Extended Abstracts,of the 2019 CHI Conference on Human Factors in Computing Systems. New York: ACM. 2019. CS01 https://doi.org/10.1145/3290607.3299047

Author

Palacin-Silva, Maria ; Ferrario, Maria Angela Felicita Cristina ; Wolff, Annika ; Kupiainen, Niina ; Ginnane, Síle ; Happonen, Ari ; Piutunen, Sara. / SENSEI : Harnessing Community Wisdom for Local Environmental Monitoring in Finland. CHI’19 Extended Abstracts,of the 2019 CHI Conference on Human Factors in Computing Systems. New York : ACM, 2019.

Bibtex

@inproceedings{6d9bf423181b4376b9d0d22384873f8b,
title = "SENSEI: Harnessing Community Wisdom for Local Environmental Monitoring in Finland",
abstract = "The way people participate in decision making has radically changed over the last few decades. Technology has facilitated the sharing of knowledge, ideas and opinions across social structures and, has allowed grass-root initiatives to flourish. Participatory civic technology has helped local communities to embrace civic action on matters of shared concern. In this case study, we describe SENSEI, a year-long participatory sensing movement. Local community organisations, decision makers, families, individuals and researchers worked together to co-create civic technologies to help them address environmental issues of shared interest, such as invasive plant species, abandoned items in the forests and nice places. Over 240 local participants have taken part to the different stages of this year long process which included ten community events and workshops. As a result, over hundred concrete ideas about issues of common interest were generated, nearly thirty civic tech prototypes were designed and developed, along hundreds of environmental observations. In this paper, we describe the process or orchestration of this initiative and present key reflections from it.",
keywords = "Environment, Citizen Science, Participatory Design",
author = "Maria Palacin-Silva and Ferrario, {Maria Angela Felicita Cristina} and Annika Wolff and Niina Kupiainen and S{\'i}le Ginnane and Ari Happonen and Sara Piutunen",
note = "{\textcopyright} ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3290607.3299047; ACM CHI Conference on Human Factors in Computing Systems : Weaving the Threads of CHI, CHI 2019 ; Conference date: 04-05-2019 Through 09-05-2019",
year = "2019",
month = may,
day = "4",
doi = "10.1145/3290607.3299047",
language = "English",
isbn = "9781450359719",
booktitle = "CHI{\textquoteright}19 Extended Abstracts,of the 2019 CHI Conference on Human Factors in Computing Systems",
publisher = "ACM",
url = "https://chi2019.acm.org/",

}

RIS

TY - GEN

T1 - SENSEI

T2 - ACM CHI Conference on Human Factors in Computing Systems

AU - Palacin-Silva, Maria

AU - Ferrario, Maria Angela Felicita Cristina

AU - Wolff, Annika

AU - Kupiainen, Niina

AU - Ginnane, Síle

AU - Happonen, Ari

AU - Piutunen, Sara

N1 - © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3290607.3299047

PY - 2019/5/4

Y1 - 2019/5/4

N2 - The way people participate in decision making has radically changed over the last few decades. Technology has facilitated the sharing of knowledge, ideas and opinions across social structures and, has allowed grass-root initiatives to flourish. Participatory civic technology has helped local communities to embrace civic action on matters of shared concern. In this case study, we describe SENSEI, a year-long participatory sensing movement. Local community organisations, decision makers, families, individuals and researchers worked together to co-create civic technologies to help them address environmental issues of shared interest, such as invasive plant species, abandoned items in the forests and nice places. Over 240 local participants have taken part to the different stages of this year long process which included ten community events and workshops. As a result, over hundred concrete ideas about issues of common interest were generated, nearly thirty civic tech prototypes were designed and developed, along hundreds of environmental observations. In this paper, we describe the process or orchestration of this initiative and present key reflections from it.

AB - The way people participate in decision making has radically changed over the last few decades. Technology has facilitated the sharing of knowledge, ideas and opinions across social structures and, has allowed grass-root initiatives to flourish. Participatory civic technology has helped local communities to embrace civic action on matters of shared concern. In this case study, we describe SENSEI, a year-long participatory sensing movement. Local community organisations, decision makers, families, individuals and researchers worked together to co-create civic technologies to help them address environmental issues of shared interest, such as invasive plant species, abandoned items in the forests and nice places. Over 240 local participants have taken part to the different stages of this year long process which included ten community events and workshops. As a result, over hundred concrete ideas about issues of common interest were generated, nearly thirty civic tech prototypes were designed and developed, along hundreds of environmental observations. In this paper, we describe the process or orchestration of this initiative and present key reflections from it.

KW - Environment

KW - Citizen Science

KW - Participatory Design

U2 - 10.1145/3290607.3299047

DO - 10.1145/3290607.3299047

M3 - Conference contribution/Paper

SN - 9781450359719

BT - CHI’19 Extended Abstracts,of the 2019 CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

Y2 - 4 May 2019 through 9 May 2019

ER -