Sensemaking
A Complexity Perspective
Bibliographic Data
| ID | 4239809 |
|---|---|
| Authors | Timothy Lynam (0000-0003-1400-2587, Commonwealth Scientific and Industrial Research Organisation), Chris Fletcher (Community Options (United States)) |
| Year | 2015 |
| Volume | 20 |
| Issue | 1 |
| Pages | art65 |
| Publication date | 2015-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Conservation Ecology (JOURNAL) |
| Journal identifiers | ISSN: 1195-5449 • E-ISSN: 1708-3087 |
| Publisher | Resilience Alliance (PUBLISHER • CA) |
| DOI | 10.5751/es-07410-200165 |
| OpenAlex | W2328983180 |
| Language | EN |
| Citations received | 15 |
| References cited | 25 |
Our intent was to provide a methodological overview of the primary data collection process in support of the other articles in this special issue. We documented and illustrated the use of a data collection and analysis suite, SenseMaker, that was designed to collect and work with narrative fragments. The approach presented adds a new and inherently mixed tool to the mixed methods toolbox. Despite its novelty and potential utility, little has been written in the academic literature on the application of SenseMaker to complex problems. To the best of our knowledge, the approach has not been used in relation to climate change or climate change adaptation and has not been presented in the mixed methods literature. We sought to contribute to filling this gap through describing the approach used to generate the data that underpin the articles in this special feature. Our purpose was to illustrate some of the potential and most notable challenges of using the SenseMaker data collection and analysis process in a complex domain through examining adaptation to climate change. Our overview was not exhaustive but rather sought to highlight capabilities and challenges through examining experiences of adaptation from a stages of change perspective. SenseMaker provides a remarkably powerful tool for the capture of micronarratives of complex phenomena such as climate change. The capacity to have respondents interpret, i.e., make sense of, their own narratives is an important innovation that provides one plausible solution to the problem of analysts coding narratives. Analytically, however, SenseMaker is relatively weak for those seeking strong statistical support for analyses and provides no capability for analyzing the narratives themselves
Climate change · Data collection · Data science · Knowledge management · Management science · Narrative · Novelty · Political science · Sensemaking · Social science · Sociology · Suite · Toolbox · Complex Systems and Decision Making · Computer Science · Engineering · Psychology · Social Psychology · Sustainability and Climate Change Governance · Artificial Intelligence
Analysing perceptions of nature and nature's contributions to people for a Swiss ecological infrastructure
Can sense-making tools inform adaptation policy? A practitioner's perspective
Voicing resilience through subjective well-being
Exploring social representations of adapting to climate change using topic modeling and Bayesian networks
Making sense of climate change
Supporting transformative climate adaptation
I am a young Venezuelan woman who left her country”
Narrative matters for sustainability
Evaluation through narratives
Peacekeepers and Local Women and Girls
Women’s Changing Opportunities and Aspirations Amid Male Outmigration
Where is the diversity in this facility?’ Experiences of emergency care among visible minority individuals in Kingston, Ontario
From farm to table
A visual narrative for taking future generations’ perspectives
Revisiting modal split as an urban sustainability indicator using citizen science
Sensemaking in organizations
Self-change and therapy change of smoking behavior
Uncertainty, complexity and post-normal science
The new dynamics of strategy
Model Selection and Multimodel Inference
Toward a Comprehensive Model of Change
Constructing the political spectacle
A Four Times Told Tale
Believing is seeing
Simplifying complexity
Is Mixed Methods Social Inquiry a Distinctive Methodology
Triangulation and Mixed Methods Designs
Cross‐National Comparisons of Image Associations with “Global Warming” and “Climate Change” Among Laypeople in the United States of America and Great Britain1
Overcoming the tragedy of super wicked problems
The post-normal science of precaution
Post-normal science in postnormal times
In search of how people change
Narrative Analysis—Or Why (and How) Sociologists Should Be Interested In Narrative
Individual differences in need for cognitive closure
Dilemmas in a general theory of planning
Mixed Methods Research
The need for cognition
Dispositional differences in cognitive motivation
Can sense-making tools inform adaptation policy? A practitioner's perspective
Integrative Analysis Strategies for Mixed Data Sources
| Unique citing works | 15 |
|---|---|
| Citations per year | 1,36 |
| Citation span | 2015 - 2025 (11) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |