Guidance on applying environmental intelligence to inform green investment

Caitlin Douglas; Mark Mulligan; Arnout Van Soesbergen; Sophia Burke

doi:10.1145/3524458.3547225

Guidance on applying environmental intelligence to inform green investment

Caitlin Douglas, Mark Mulligan, Arnout Van Soesbergen, Sophia Burke

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

In this paper we show how environmental intelligence (EI) can be used to obtain evidence to support green investments focused on land use in urban and rural areas. Specifically, we propose a six step R&D process to facilitate the development and use of advanced environmental monitoring equipment to inform green investments. The six steps are: problem definition, experimental design, indicator development, hardware and software development, investment performance evaluation and outcomes communication. To help show how EI can be applied to support green investments we use a live investment as a case study. The investment we focus on is the pedestrianisation of a section of the busy Strand-Aldwych gyratory in central London (England). We first describe our activities for each stage of the R&D process and conclude with recommendations to others considering using EI to help provide an evidence base for green investment.

Original language	English
Title of host publication	GoodIT 2022 - Proceedings of the 2022 ACM Conference on Information Technology for Social Good
Publisher	Association for Computing Machinery
Pages	231-235
Number of pages	5
ISBN (Electronic)	9781450392846
DOIs	https://doi.org/10.1145/3524458.3547225
Publication status	Published - 7 Sept 2022
Event	2nd ACM Conference on Information Technology for Social Good, GoodIT 2022 - Limassol, Cyprus Duration: 7 Sept 2022 → 9 Sept 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2nd ACM Conference on Information Technology for Social Good, GoodIT 2022
Country/Territory	Cyprus
City	Limassol
Period	7/09/2022 → 9/09/2022

Keywords

air quality
Internet of Things
pedestrianisation
policy support
sensors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3524458.3547225

Cite this

Douglas, C., Mulligan, M., Van Soesbergen, A., & Burke, S. (2022). Guidance on applying environmental intelligence to inform green investment. In GoodIT 2022 - Proceedings of the 2022 ACM Conference on Information Technology for Social Good (pp. 231-235). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3524458.3547225

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abstract = "In this paper we show how environmental intelligence (EI) can be used to obtain evidence to support green investments focused on land use in urban and rural areas. Specifically, we propose a six step R&D process to facilitate the development and use of advanced environmental monitoring equipment to inform green investments. The six steps are: problem definition, experimental design, indicator development, hardware and software development, investment performance evaluation and outcomes communication. To help show how EI can be applied to support green investments we use a live investment as a case study. The investment we focus on is the pedestrianisation of a section of the busy Strand-Aldwych gyratory in central London (England). We first describe our activities for each stage of the R&D process and conclude with recommendations to others considering using EI to help provide an evidence base for green investment. ",

keywords = "air quality, Internet of Things, pedestrianisation, policy support, sensors",

author = "Caitlin Douglas and Mark Mulligan and {Van Soesbergen}, Arnout and Sophia Burke",

note = "Funding Information: The ReSET project has received funding from the European Union{\textquoteright}s Horizon 2020 FET Proactive Programme under grant agreement No 101017857. The opinions expressed in this document reflect only the authors{\textquoteright} view and in no way reflect the European Commission{\textquoteright}s opinions. We thank Westminster City Council (particularly Ramiro Levy), King{\textquoteright}s College London, London School of Economics and St Mary Le Strand Church for their support of our Strand and Aldwych monitoring network. History Dates: Received May 2022; accepted July 2022 Publisher Copyright: {\textcopyright} 2022 ACM.; 2nd ACM Conference on Information Technology for Social Good, GoodIT 2022 ; Conference date: 07-09-2022 Through 09-09-2022",

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day = "7",

doi = "10.1145/3524458.3547225",

language = "English",

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Douglas, C , Mulligan, M , Van Soesbergen, A & Burke, S 2022, Guidance on applying environmental intelligence to inform green investment. in GoodIT 2022 - Proceedings of the 2022 ACM Conference on Information Technology for Social Good. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 231-235, 2nd ACM Conference on Information Technology for Social Good, GoodIT 2022, Limassol, Cyprus, 7/09/2022. https://doi.org/10.1145/3524458.3547225

Guidance on applying environmental intelligence to inform green investment. / Douglas, Caitlin ; Mulligan, Mark ; Van Soesbergen, Arnout et al.
GoodIT 2022 - Proceedings of the 2022 ACM Conference on Information Technology for Social Good. Association for Computing Machinery, 2022. p. 231-235 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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N1 - Funding Information: The ReSET project has received funding from the European Union’s Horizon 2020 FET Proactive Programme under grant agreement No 101017857. The opinions expressed in this document reflect only the authors’ view and in no way reflect the European Commission’s opinions. We thank Westminster City Council (particularly Ramiro Levy), King’s College London, London School of Economics and St Mary Le Strand Church for their support of our Strand and Aldwych monitoring network. History Dates: Received May 2022; accepted July 2022 Publisher Copyright: © 2022 ACM.

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AB - In this paper we show how environmental intelligence (EI) can be used to obtain evidence to support green investments focused on land use in urban and rural areas. Specifically, we propose a six step R&D process to facilitate the development and use of advanced environmental monitoring equipment to inform green investments. The six steps are: problem definition, experimental design, indicator development, hardware and software development, investment performance evaluation and outcomes communication. To help show how EI can be applied to support green investments we use a live investment as a case study. The investment we focus on is the pedestrianisation of a section of the busy Strand-Aldwych gyratory in central London (England). We first describe our activities for each stage of the R&D process and conclude with recommendations to others considering using EI to help provide an evidence base for green investment.

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ER -

Guidance on applying environmental intelligence to inform green investment

Abstract

Publication series

Conference

Keywords

UN SDGs

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