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Neset, Tina-Simone, ProfessorORCID iD iconorcid.org/0000-0003-1151-9943
Alternative names
Publications (10 of 78) Show all publications
Neset, T.-S., Andersson, L., Edström, M. M., Vrotsou, K., Greve Villaro, C., Navarra, C., . . . Linnér, B.-O. (2024). AI för klimatanpassning: Hur kan nya digitala teknologier stödja klimatanpassning?. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>AI för klimatanpassning: Hur kan nya digitala teknologier stödja klimatanpassning?
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2024 (Swedish)Report (Other academic)
Abstract [sv]

Tillgång till vädervarningar med information om förväntade konsekvenser av vädret är nödvändigt för god krisberedskap hos myndigheter, kommuner, näringsliv och privatpersoner. Vidareutveckling av varningssystem som fokuserar på förväntade störningar (konsekvensbaserade varningssystem) är därför en viktig komponent i samhällets hantering av klimatförändringar. Forskningsprojektet AI för klimatanpassning (AI4CA) har analyserat möjligheter och hinder med att inkludera AI-baserad text- och bildanalys som stöd till SMHI:s konsekvensbaserade vädervarningssystem och på sikt även stödja långsiktig klimatanpassning. 

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2024
Series
CSPR Brief, E-ISSN 2004-9560 ; 2024:1
National Category
Climate Research
Identifiers
urn:nbn:se:liu:diva-203955 (URN)10.3384/brief-203955 (DOI)
Available from: 2024-05-30 Created: 2024-05-30 Last updated: 2024-06-14
Neset, T.-S., Oen, A., Máñez Costa, M. & Celliers, L. (2024). Co-designing climate services: Concepts and practices of the ERA4CS projects. Climate Services, 100461-100461, Article ID 100461.
Open this publication in new window or tab >>Co-designing climate services: Concepts and practices of the ERA4CS projects
2024 (English)In: Climate Services, ISSN 2405-8807, p. 100461-100461, article id 100461Article in journal (Other academic) Published
National Category
Other Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-203617 (URN)10.1016/j.cliser.2024.100461 (DOI)
Available from: 2024-05-20 Created: 2024-05-20 Last updated: 2024-05-20
Grundel, I., Eliasson, K. & Neset, T.-S. (2024). ELABORATOR co-creation playbook: Deliverable 2.3.
Open this publication in new window or tab >>ELABORATOR co-creation playbook: Deliverable 2.3
2024 (English)Other, Policy document (Refereed)
Abstract [en]

The ELABORATOR project aims to support cities across Europe in their transition to climate neutrality by promoting the implementation of mobility interventions towards inclusive, sustainable, safe and affordable mobility. The project aims to provide tools and methods to support a truly collaborative and participatory approach in achieving inclusive transport infrastructure development in 12 cities in Europe. The deliverable of T2.3, the ELABORATOR Co-creation playbook provides practical guidelines to engage groups of stakeholders and citizens in the development of qualitative data collection methods, comprising community-based and citizensscience research to ensure that the final methods and tools have legitimacy for all the parties involved in new and innovative urban interventions’ design and deployment. The playbook provides a solid foundation for the cities to work with co-creation methodologies to support the involvement of stakeholders and citizens, especially focusing on the inclusion of VRUs in co-creation processes. Hopefully these guidelines will also prove fruitful for other cities working with collaborative methods. 

Publisher
p. 67
Keywords
Co-creation, co-design sustainable urban mobility, living labs
National Category
Social Sciences Social and Economic Geography Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-205033 (URN)
Projects
- The European Living Lab on Designing Sustainable Urban Mobility Towards Climate Neutral Cities
Funder
EU, Horizon 2020, 101103772
Available from: 2024-06-18 Created: 2024-06-18 Last updated: 2024-06-18
Opach, T., Navarra, C., Rød, J. K., Schmid Neset, T.-S., Wilk, J., Cruz, S. S. & Joling, A. (2023). Identifying relevant volunteered geographic information about adverse weather events in Trondheim using the CitizenSensing participatory system. Environment and Planning B: Urban Analytics and City Science, 50(7), 1806-1821
Open this publication in new window or tab >>Identifying relevant volunteered geographic information about adverse weather events in Trondheim using the CitizenSensing participatory system
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2023 (English)In: Environment and Planning B: Urban Analytics and City Science, ISSN 2399-8083, Vol. 50, no 7, p. 1806-1821Article in journal, Editorial material (Refereed) Published
Abstract [en]

The study set out to investigate how the experience of creating a map-based participatory system might help identify what is needed to support the production of relevant volunteered geographic information (VGI) about urban areas exposed to impacts of adverse weather events in Trondheim, Norway. This article details the systematic approach used to collect VGI, starting from the active engagement of end users during the design and development process of the CitizenSensing participatory system, through using the system in two VGI campaigns, up to the examination of the collected data. Although the VGI examination identified exposed areas in Trondheim, for instance, those that are likely to accumulate surface water from heavy rains or meltwater, the experience gained from the use of the CitizenSensing system helped to identify some critical points regarding the production of relevant VGI. Potential practical implications justify the need for VGI. For instance, in the case of Trondheim, relevant VGI may result in better planned municipal interventions regarding city infrastructure for pedestrians, cyclists and drivers, increased public awareness and access to local knowledge about areas exposed to inundation. The study also confirmed the need for adequate system components for VGI vetting and exploration in the post-collection stage to obtain a comprehensive insight into collected VGI.

Place, publisher, year, edition, pages
Sage Publications, 2023
Keywords
participatory system; volunteered geographic information; adverse weather events; water inundation; geographic visualisation
National Category
Climate Research
Identifiers
urn:nbn:se:liu:diva-190301 (URN)10.1177/23998083221136557 (DOI)000889603700001 ()
Projects
Citzensensing
Funder
The Research Council of Norway, 274192The Research Council of Norway, 321002Swedish Research Council Formas, 2017-01719EU, Horizon 2020, 690462
Note

Funding: project Citizen Sensing-Urban Climate Resilience through Participatory Risk Management Systems, ERA4CS, an ERA-NET by JPIClimate; FCT (Portugal) [ERA4CS/0001/2016]; FORMAS (Sweden) [2017-01719]; NWO (The Netherlands) [438.17.805]; RCN (Norway) [274192, 321002]; European Union [690462]

Available from: 2022-12-01 Created: 2022-12-01 Last updated: 2023-12-07Bibliographically approved
Vrotsou, K., Navarra, C., Kucher, K., Fedorov, I., Schück, F., Unger, J. & Neset, T.-S. (2023). Towards a Volunteered Geographic Information-Facilitated Visual Analytics Pipeline to Improve Impact-Based Weather Warning Systems. Atmosphere, 14(7), Article ID 1141.
Open this publication in new window or tab >>Towards a Volunteered Geographic Information-Facilitated Visual Analytics Pipeline to Improve Impact-Based Weather Warning Systems
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2023 (English)In: Atmosphere, E-ISSN 2073-4433, Vol. 14, no 7, article id 1141Article in journal (Refereed) Published
Abstract [en]

Extreme weather events, such as flooding, are expected to increase in frequency and intensity. Therefore, the prediction of extreme weather events, assessment of their local impacts in urban environments, and implementation of adaptation measures are becoming high-priority challenges for local, regional, and national agencies and authorities. To manage these challenges, access to accurate weather warnings and information about the occurrence, extent, and impacts of extreme weather events are crucial. As a result, in addition to official sources of information for prediction and monitoring, citizen volunteered geographic information (VGI) has emerged as a complementary source of valuable information. In this work, we propose the formulation of an approach to complement the impact-based weather warning system that has been introduced in Sweden in 2021 by making use of such alternative sources of data. We present and discuss design considerations and opportunities towards the creation of a visual analytics (VA) pipeline for the identification and exploration of extreme weather events and their impacts from VGI texts and images retrieved from social media. The envisioned VA pipeline incorporates three main steps: (1) data collection, (2) image/text classification and analysis, and (3) visualization and exploration through an interactive visual interface. We envision that our work has the potential to support three processes that involve multiple stakeholders of the weather warning system: (1) the validation of previously issued warnings, (2) local and regional assessment-support documentation, and (3) the monitoring of ongoing events. The results of this work could thus generate information that is relevant to climate adaptation decision making and provide potential support for the future development of national weather warning systems.

Place, publisher, year, edition, pages
MDPI, 2023
Keywords
weather warning systems, flooding, volunteered geographic information, visualization, visual analytics, artificial intelligence, machine learning, natural language processing, classification, social media
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-196332 (URN)10.3390/atmos14071141 (DOI)001037893300001 ()
Projects
AI4ClimateAdaptation
Funder
Vinnova, 2020-03388
Note

This research was funded by Sweden's Innovation Agency, VINNOVA, grant number 2020-03388, 'AI for Climate Adaptation'.

Available from: 2023-07-18 Created: 2023-07-18 Last updated: 2024-07-04
Styve, L., Navarra, C., Petersen, J. M., Neset, T.-S. & Vrotsou, K. (2022). A Visual Analytics Pipeline for the Identification and Exploration of Extreme Weather Events from Social Media Data. Climate, 10(11), 174-174
Open this publication in new window or tab >>A Visual Analytics Pipeline for the Identification and Exploration of Extreme Weather Events from Social Media Data
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2022 (English)In: Climate, E-ISSN 2225-1154, Vol. 10, no 11, p. 174-174Article in journal (Refereed) Published
Abstract [en]

Extreme weather events are expected to increase in frequency and intensity due to global warming. During disaster events, up-to-date relevant information is crucial for early detection and response. Recently, Twitter emerged as a potentially important source of volunteered geographic information of key value for global monitoring systems and increasing situational awareness. While research on the use of machine learning approaches to automatically detect disaster events from social media is increasing, the visualization and exploration of the identified events and their contextual data are often neglected. In this paper, we address this gap by proposing a visual analytics pipeline for the identification and flexible exploration of extreme weather events, in particular floods, from Twitter data. The proposed pipeline consists of three main steps: (1) text classification, (2) location extraction, and (3) interactive visualization. We tested and assessed the performances of four classification algorithms for classifying relevant tweets as flood-related, applied an algorithm to assign location information, and introduced a visual interface for exploring their spatial, temporal, and attribute characteristics. To demonstrate our work, we present an example use case where two independent flooding events were identified and explored. The proposed approach has the potential to support real-time monitoring of events by providing data on local impacts collected from citizens and to facilitate the evaluation of extreme weather events to increase adaptive capacity.

Place, publisher, year, edition, pages
MDPI, 2022
Keywords
visual analytics; machine learning; text classification; NLP; social media; extreme weather events; flooding
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-190270 (URN)10.3390/cli10110174 (DOI)000894930800001 ()
Funder
Vinnova, 2020-03388
Note

Funding: Swedens Innovation Agency, VINNOVA [202003388]

Available from: 2022-11-30 Created: 2022-11-30 Last updated: 2023-01-04
Wibeck, V., Eliasson, K. & Schmid Neset, T.-S. (2022). Co-creation research for transformative times: Facilitating foresight capacity in view of global sustainability challenges. Environmental Science and Policy, 128, 290-298
Open this publication in new window or tab >>Co-creation research for transformative times: Facilitating foresight capacity in view of global sustainability challenges
2022 (English)In: Environmental Science and Policy, ISSN 1462-9011, E-ISSN 1873-6416, Vol. 128, p. 290-298Article in journal (Refereed) Published
Abstract [en]

This paper explores the potentials and limitations of transdisciplinary research on sustainability issues characterized by extensive uncertainty and complexity. Transdisciplinary approaches that support the co-creation of knowledge in collaboration between science and society are advocated in research that aims to explore pathways for societal transformations towards sustainability. However, there is limited research on how co-creation research plays out in practice and what are its implications, in particular with regards to how data collection and analysis can be developed to increase the quality and reliability of the research, and to the roles that researchers themselves play in shaping the research. This paper makes two contributions: First, it offers insight into the design and implementation of co-creation endeavors based on scholarly literature as well as experiences from a research program that seeks to support foresight capacity for sustainable development under geopolitical uncertainties. Second, the paper elaborates methodological support for co-creation research by highlighting the potential of co-dissemination for transdisciplinarity and arguing for a systematic approach to reflection and self-reflexivity. Specifically, the paper reflects on experiences from the ongoing Mistra Geopolitics research program, which explores the intersections between geopolitics and sustainable development, and where co-creation has been at the core since the start of the program. We explore three stages in transdisciplinary research: (i) co-design of the research agenda, (ii) co-production of knowledge, and (iii) co-dissemination. Specifically, we examine the role of non-academic partners, the role of knowledge brokers and facilitation, and the need for flexibility, adaptability and reflexivity throughout the process.

Place, publisher, year, edition, pages
Elsevier, 2022
Keywords
Transdisciplinarity, Co-production, Geopolitics, 2030 Agenda, Paris climate agreement, Sustainability transformations
National Category
Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-181736 (URN)10.1016/j.envsci.2021.11.023 (DOI)000787256200004 ()
Note

Funding: Swedish Foundation for Strategic Environmental Research - MistraSwedish Foundation for Strategic Research [2016/11]

Available from: 2021-12-09 Created: 2021-12-09 Last updated: 2022-05-13Bibliographically approved
Máñez Costa, M., Oen, A. M. P., Schmid Neset, T.-S., Celliers, L., Suhari, M., Huang-Lachmann, J.-T., . . . Schuck-Zöller, S. (2022). Co-production of Climate Services: A diversity of approaches and good practice from the ERA4CS projects (2017–2021). Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Co-production of Climate Services: A diversity of approaches and good practice from the ERA4CS projects (2017–2021)
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2022 (English)Report (Other academic)
Abstract [en]

This guide presents a joint effort of projects funded under the European Research Area for Climate Services (ERA4CS) (http://www.jpi-climate.eu/ERA4CS), a co- funded action initiated by JPI Climate with co-funding by the European Union (Grant 690462), 15 national public Research Funding Organisations (RFOs), and 30 Research Performing Organisations (RPOs) from 18 European countries. This guide sets out to increase the understanding of different pathways, methods, and approaches to improve knowledge co-production of climate services with users as a value-added activity of the ERA4CS Programme.

Reflecting on the experiences of 16 of the 26 projects funded under ERA4CS, this guide aims to define and recommend good practices for transdisciplinary knowledge co-production of climate services to researchers, users, funding agencies, and private sector service providers. Drawing on responses from ERA4CS project teams to a questionnaire and interviews, this guide maps the diversity of methods for stakeholder identification, involvement, and engagement. It also conducts an analysis of methods, tools, and mechanisms for engagement as well as evaluation of co-production processes.

This guide presents and discusses good practice examples based on the review of the ERA4CS projects, identifying enablers and barriers for key elements in climate service co-production processes. These were: namely (i) Forms of Engagement; (ii) Entry Points for Engagement; and, (iii) Intensity of Involvement. It further outlines key ingredients to enhance the quality of co-producing climate services with users and stakeholders.

Based on the analysis of the lessons learned from ERA4CS projects, as well as a review of key concepts in the recent literature on climate service co-production, we provide a set of recommendations for researchers, users, funders and private sector providers of climate services. 

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2022. p. 56
Series
CSPR Report (Centre for Climate Science and Policy Research); CSPR Report (Centrum för klimatpolitisk forskning), ISSN 1654-1529, E-ISSN 1654-9112 ; 2021:2
National Category
Climate Research
Identifiers
urn:nbn:se:liu:diva-182887 (URN)10.3384/9789179291990 (DOI)9789179291990 (ISBN)
Note

This report is not externally peer-reviewed

Revisions:

2022-02-11 The report PDF was published.

2022-05-06 An incorrect spelled author name was updated in the author list, and the published PDF has been exchanged. Before this date the PDF was downloaded 193 times.

Available from: 2022-02-11 Created: 2022-02-11 Last updated: 2022-11-17Bibliographically approved
Glaas, E., Bohman, A., Karlson, M., Navarra, C., Olsson, J., Hundecha, Y., . . . Linnér, B.-O. (2022). Development and user testing of the ICT-platform Visual Water supporting sustainable municipal stormwater planning. Urban Water Journal, 19(9), 962-974
Open this publication in new window or tab >>Development and user testing of the ICT-platform Visual Water supporting sustainable municipal stormwater planning
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2022 (English)In: Urban Water Journal, ISSN 1573-062X, E-ISSN 1744-9006, Vol. 19, no 9, p. 962-974Article in journal (Refereed) Published
Abstract [en]

The need to develop sustainable stormwater management is intensifying due to climate impacts and urban densification. Such complex planning processes require insights into disparate issues, connecting heterogeneous actors. While many decision-support tools are developed to facilitate such planning, research assessing their usefulness is requested. This study introduces and assesses one such ICT-tool; the Visual Water platform, aiming to support sustainable stormwater planning in Swedish municipalities. The study aims to identify critical points to consider for developers of related decision-support tools and to detangle requirements and tradeoffs in making them relevant and user-friendly, building on test-sessions with Swedish practitioners. Results show that the platform responds to challenges within municipal planning as outlined by Swedish practitioners. However, though the platform content is considered relevant, its application in real-world planning is perceived as somewhat unclear. The paper discusses ideas for how sustainability-related decision-support tools better can respond to user demands.

Place, publisher, year, edition, pages
Taylor & Francis Ltd, 2022
Keywords
Decision-support; ICT; planning; stormwater; sustainability
National Category
Other Environmental Engineering
Identifiers
urn:nbn:se:liu:diva-187721 (URN)10.1080/1573062X.2022.2108850 (DOI)000836959800001 ()
Note

Funding Agencies|Swedish Research Council Formas [2016-20090]; Svenskt Vatten [16-117]

Available from: 2022-08-30 Created: 2022-08-30 Last updated: 2023-04-18Bibliographically approved
Bastviken, D., Wilk, J., Nguyen, T. D., Gålfalk, M., Karlson, M., Schmid Neset, T.-S., . . . Sundgren, I. (2022). Measuring greenhouse gas fluxes: what methods do we have versus what methods do we need?. In: : . Paper presented at EGU22, the 24th EGU General Assembly, held 23-27 May, 2022 in Vienna, Austria and Online..
Open this publication in new window or tab >>Measuring greenhouse gas fluxes: what methods do we have versus what methods do we need?
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2022 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

Appropriate methods to measure greenhouse gas (GHG) fluxes are critical for our ability to detect fluxes, understand regulation, make adequate priorities for climate change mitigation efforts, and verify that these efforts are effective. Ideally, we need reliable, accessible, and affordable measurements at relevant scales. We surveyed present GHG flux measurement methods, identified from an analysis of >11000 scientific publications and a questionnaire to sector professionals and analysed method pros and cons versus needs for novel methodology. While existing methods are well-suited for addressing certain questions, this presentation presents fundamental limitations relative to GHG flux measurement needs for verifiable and transparent action to mitigate many types of emissions. Cost and non-academic accessibility are key aspects, along with fundamental measurement performance. These method limitations contribute to the difficulties in verifying GHG mitigation efforts for transparency and accountability under the Paris agreement. Resolving this mismatch between method capacity and societal needs is urgently needed for effective climate mitigation. This type of methodological mismatch is common but seems to get high priority in other knowledge domains. The obvious need to prioritize development of accurate diagnosis methods for effective treatments in healthcare is one example. This presentation provides guidance regarding the need to prioritize the development of novel GHG flux measurement methods.

National Category
Other Natural Sciences
Identifiers
urn:nbn:se:liu:diva-189635 (URN)10.5194/egusphere-egu22-6468 (DOI)
Conference
EGU22, the 24th EGU General Assembly, held 23-27 May, 2022 in Vienna, Austria and Online.
Available from: 2022-10-31 Created: 2022-10-31 Last updated: 2023-03-07Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1151-9943

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