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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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
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 -