Community Level Indicators Tool

Mel Woods; Saskia Coulson; Raquel Ajates; Drew Hemment; Mara  Balestrini; Sihana  Bejtullahu; Stefano  Bocconi; Gijs  Boerwinkel; Marc  Boonstra; Douwe-Sjoerd  Boschman; Guillem  Camprodon; Tomas  Diez; Ioan Fazey; Christine van den Horn; Trim  Ilazi; Ivonne  Jansen-Dings; Frank  Kresin; Dan  McQuillan; Susana  Nascimento; Emma  Pareschi; Alexandre Polvora; Ron  Salaj; Michelle Scott; Gui  Seiz

doi:10.20933/100001178

Community Level Indicators Tool

Mel Woods, Saskia Coulson, Raquel Ajates, Drew Hemment, Mara Balestrini (Contributing member), Sihana Bejtullahu (Contributing member), Stefano Bocconi (Contributing member), Gijs Boerwinkel (Contributing member), Marc Boonstra (Contributing member), Douwe-Sjoerd Boschman (Contributing member), Guillem Camprodon (Contributing member), Tomas Diez (Contributing member), Ioan Fazey (Contributing member), Christine van den Horn (Contributing member), Trim Ilazi (Contributing member), Ivonne Jansen-Dings (Contributing member), Frank Kresin (Contributing member), Dan McQuillan (Contributing member), Susana Nascimento (Contributing member), Emma Pareschi (Contributing member)Alexandre Polvora (Contributing member), Ron Salaj (Contributing member), Michelle Scott (Contributing member), Gui Seiz (Contributing member)

Research output: Other contribution

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Abstract

This is an open-source downloadable tool that has been developed with community-led citizen science projects in mind. It is part of Citizen Sensing: A Toolkit, a collection of 25 methods and tools that can be used in citizen science projects.

The Community Level Indicators (CLIs) tool is designed for community members and citizen science practitioners wanting to start a new project and is designed to be used throughout a citizen science project. The CLI method involves asking community members to identify extra information that a community in a citizen science project can collect to complement and contextualise sensor data. For example, if a community is concerned about air pollution in their area, they might start a campaign to reduce the number of cars that drive on their street while using a sensor to monitor changes in air quality. The CLI, in this case, could be the measurement of car traffic and could be monitored over time to see if the actions of the campaign had successfully helped to reduce the number which drove on the specific street and if this decrease resulted in improved air quality. This toolkit helps participants to monitor the impact of their actions by tracking and measuring real change. The Community Level Indicators tool helps participants to collaboratively choose what information will be collected, and how. This tool can also be used at the end of a data collection period, to see how actions have made a difference.

This page includes a Community Level Indicators guidance document which outlines the toolkit, the steps, resources needed and useful links that can explain the process of using the toolkit yourself. The page also includes a Community Level Indicators canvas which can be used in conducting the activity.

Original language	English
Publisher	University of Dundee
Number of pages	4
Place of Publication	Dundee
DOIs	https://doi.org/10.20933/100001178
Publication status	Published - Oct 2020

Keywords

Citizen Science
Environmental Monitoring
Climate Issues
Toolkits
Co-Creation
Design
Data Collection
Participatory Action Research
Air pollution
Inclusive
Consensus
Stakeholders
Community-based Participatory Research

Access to Document

10.20933/100001178Licence: CC BY-SA

CLIs A4 - open accessFinal published version, 199 KBLicence: CC BY-SA
CLIs Canvas A2 - open accessFinal published version, 142 KBLicence: CC BY-SA

Cite this

Woods, M., Coulson, S., Ajates, R., Hemment, D., Balestrini, M., Bejtullahu, S., Bocconi, S., Boerwinkel, G., Boonstra, M., Boschman, D.-S., Camprodon, G., Diez, T., Fazey, I., van den Horn, C., Ilazi, T., Jansen-Dings, I., Kresin, F., McQuillan, D., Nascimento, S., ... Seiz, G. (2020, Oct). Community Level Indicators Tool. University of Dundee. https://doi.org/10.20933/100001178

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title = "Community Level Indicators Tool",

abstract = "This is an open-source downloadable tool that has been developed with community-led citizen science projects in mind. It is part of Citizen Sensing: A Toolkit, a collection of 25 methods and tools that can be used in citizen science projects.The Community Level Indicators (CLIs) tool is designed for community members and citizen science practitioners wanting to start a new project and is designed to be used throughout a citizen science project. The CLI method involves asking community members to identify extra information that a community in a citizen science project can collect to complement and contextualise sensor data. For example, if a community is concerned about air pollution in their area, they might start a campaign to reduce the number of cars that drive on their street while using a sensor to monitor changes in air quality. The CLI, in this case, could be the measurement of car traffic and could be monitored over time to see if the actions of the campaign had successfully helped to reduce the number which drove on the specific street and if this decrease resulted in improved air quality. This toolkit helps participants to monitor the impact of their actions by tracking and measuring real change. The Community Level Indicators tool helps participants to collaboratively choose what information will be collected, and how. This tool can also be used at the end of a data collection period, to see how actions have made a difference.This page includes a Community Level Indicators guidance document which outlines the toolkit, the steps, resources needed and useful links that can explain the process of using the toolkit yourself. The page also includes a Community Level Indicators canvas which can be used in conducting the activity. ",

keywords = "Citizen Science, Environmental Monitoring, Climate Issues, Toolkits, Co-Creation, Design, Data Collection, Participatory Action Research, Air pollution, Inclusive, Consensus, Stakeholders, Community-based Participatory Research",

author = "Mel Woods and Saskia Coulson and Raquel Ajates and Drew Hemment and Mara Balestrini and Sihana Bejtullahu and Stefano Bocconi and Gijs Boerwinkel and Marc Boonstra and Douwe-Sjoerd Boschman and Guillem Camprodon and Tomas Diez and Ioan Fazey and {van den Horn}, Christine and Trim Ilazi and Ivonne Jansen-Dings and Frank Kresin and Dan McQuillan and Susana Nascimento and Emma Pareschi and Alexandre Polvora and Ron Salaj and Michelle Scott and Gui Seiz",

year = "2020",

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doi = "10.20933/100001178",

language = "English",

publisher = "University of Dundee",

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Woods, M , Coulson, S , Ajates, R, Hemment, D, Balestrini, M, Bejtullahu, S, Bocconi, S, Boerwinkel, G, Boonstra, M, Boschman, D-S, Camprodon, G, Diez, T, Fazey, I, van den Horn, C, Ilazi, T, Jansen-Dings, I, Kresin, F, McQuillan, D, Nascimento, S, Pareschi, E, Polvora, A, Salaj, R, Scott, M & Seiz, G 2020, Community Level Indicators Tool. University of Dundee, Dundee. https://doi.org/10.20933/100001178

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T1 - Community Level Indicators Tool

AU - Woods, Mel

AU - Coulson, Saskia

AU - Ajates, Raquel

AU - Hemment, Drew

A2 - Balestrini, Mara

A2 - Bejtullahu, Sihana

A2 - Bocconi, Stefano

A2 - Boerwinkel, Gijs

A2 - Boonstra, Marc

A2 - Boschman, Douwe-Sjoerd

A2 - Camprodon, Guillem

A2 - Diez, Tomas

A2 - Fazey, Ioan

A2 - van den Horn, Christine

A2 - Ilazi, Trim

A2 - Jansen-Dings, Ivonne

A2 - Kresin, Frank

A2 - McQuillan, Dan

A2 - Nascimento, Susana

A2 - Pareschi, Emma

A2 - Polvora, Alexandre

A2 - Salaj, Ron

A2 - Scott, Michelle

A2 - Seiz, Gui

PY - 2020/10

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N2 - This is an open-source downloadable tool that has been developed with community-led citizen science projects in mind. It is part of Citizen Sensing: A Toolkit, a collection of 25 methods and tools that can be used in citizen science projects.The Community Level Indicators (CLIs) tool is designed for community members and citizen science practitioners wanting to start a new project and is designed to be used throughout a citizen science project. The CLI method involves asking community members to identify extra information that a community in a citizen science project can collect to complement and contextualise sensor data. For example, if a community is concerned about air pollution in their area, they might start a campaign to reduce the number of cars that drive on their street while using a sensor to monitor changes in air quality. The CLI, in this case, could be the measurement of car traffic and could be monitored over time to see if the actions of the campaign had successfully helped to reduce the number which drove on the specific street and if this decrease resulted in improved air quality. This toolkit helps participants to monitor the impact of their actions by tracking and measuring real change. The Community Level Indicators tool helps participants to collaboratively choose what information will be collected, and how. This tool can also be used at the end of a data collection period, to see how actions have made a difference.This page includes a Community Level Indicators guidance document which outlines the toolkit, the steps, resources needed and useful links that can explain the process of using the toolkit yourself. The page also includes a Community Level Indicators canvas which can be used in conducting the activity.

AB - This is an open-source downloadable tool that has been developed with community-led citizen science projects in mind. It is part of Citizen Sensing: A Toolkit, a collection of 25 methods and tools that can be used in citizen science projects.The Community Level Indicators (CLIs) tool is designed for community members and citizen science practitioners wanting to start a new project and is designed to be used throughout a citizen science project. The CLI method involves asking community members to identify extra information that a community in a citizen science project can collect to complement and contextualise sensor data. For example, if a community is concerned about air pollution in their area, they might start a campaign to reduce the number of cars that drive on their street while using a sensor to monitor changes in air quality. The CLI, in this case, could be the measurement of car traffic and could be monitored over time to see if the actions of the campaign had successfully helped to reduce the number which drove on the specific street and if this decrease resulted in improved air quality. This toolkit helps participants to monitor the impact of their actions by tracking and measuring real change. The Community Level Indicators tool helps participants to collaboratively choose what information will be collected, and how. This tool can also be used at the end of a data collection period, to see how actions have made a difference.This page includes a Community Level Indicators guidance document which outlines the toolkit, the steps, resources needed and useful links that can explain the process of using the toolkit yourself. The page also includes a Community Level Indicators canvas which can be used in conducting the activity.

KW - Citizen Science

KW - Environmental Monitoring

KW - Climate Issues

KW - Toolkits

KW - Co-Creation

KW - Design

KW - Data Collection

KW - Participatory Action Research

KW - Air pollution

KW - Inclusive

KW - Consensus

KW - Stakeholders

KW - Community-based Participatory Research

UR - http://making-sense.eu/

UR - https://www.weobserve.eu/

U2 - 10.20933/100001178

DO - 10.20933/100001178

M3 - Other contribution

PB - University of Dundee

CY - Dundee

ER -

Community Level Indicators Tool

Abstract

Keywords

Access to Document

Other files and links

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