Jeremy Maxwell Hills
Payal Nandini Maharaj- 1The Office of the DVC (Research, Innovation & International), The University of the South Pacific, Laucala Campus, Suva, Fiji
- 2School of Earth and Environmental Sciences, The University of Queensland, St. Lucia Campus, Brisbane, QLD, Australia
The 2030 Agenda for Sustainable Development sets out a transformative vision which has yet to be realised for SDG14 and oceans. Recognition of the “indivisibility” of the Goals and enhanced integration of ocean governance support this transformation, but require at least multidisciplinary, or probably transdisciplinary, approaches. For regions which are highly dependent on development finance, a powerful leverage point for a transdisciplinary transformation is in the design of development investments. The work presented here identifies design features of ocean development-financed projects involving substantial amounts of research in two Pacific Small Island Developing States (SIDS): Fiji and the Solomon Islands. Transdisciplinary approaches were closely aligned to what is established as Mode 2 research modalities which focus on participation and multi-knowledge systems, as opposed to Mode 1 which have a predominantly scientific basis. From the literature an analytical indicator framework was developed which scored projects on their Modes of research within four categories: Product, Process, Policy and People. This framework was applied to five development-financed projects, and permitted the balance of Mode 1 and Mode 2 to be assessed and significant differences between projects identified. The work surfaces project features which can be embedded in the design of ocean investments which promote transdisciplinarity. This tractable and practical recognition of transdisciplinarity has connotations to the UN Ocean Decade in its ability to deliver on its transformation rhetoric. With capacity weaknesses and constrained financial resources in developing countries, and urgent ocean-related challenges especially in SIDS, moving to designed-in transdisciplinary and transformational outcomes remains a priority.
1. Introduction
1.1. Transformation through integration
The UN 2030 Agenda for Sustainable Development sets out a transformative vision which has yet to be realized for SDG14 (“life below water”). In the 2030 Agenda, the 17 Sustainable Development Goals (SDGs) represent a set of interrelated and indivisible development Goals, although the strength of the connections between the Goals are uneven (McGowan et al., 2019). Recognition of this “indivisibility” of the goals, means that more integrated approaches are required for this envisioned transformation to sustainable development. SDG14 is highly integrated to other SDGs, especially in SIDS (Small Island Developing States) which are reliant on the ocean (e.g. Singh et al., 2018; Singh et al., 2021). Thus, the global high-level policy frame demands enhanced integration of ocean knowledge, management and governance to support this transformation explicit in Agenda 2030.
Present formalized knowledge systems, derived from universities and research institutes, are “arguably failing humanity” when compared to global challenges (e.g. Fazey et al., 2020). For more integrated outcomes it is necessary to traverse traditional scientific discipline boundaries and combine or connect multiple disciplines. The necessity of working towards integrated approaches for more sustainable outcomes, has been embedded into some mechanisms of support, such as the UK Research and Innovation Global Interdisciplinary Research Hubs (UKRI, 2019) through which this work was undertaken, and the Belmont Forum which is a partnership of funding organizations, international science councils, and regional consortia which has a Vision to support international transdisciplinary research providing knowledge for understanding, mitigating and adapting to global environmental change.
A review of transdisciplinary funding mechanisms concluded that research funding agencies that have a critical role to play by directly supporting and incentivizing transdisciplinary research (OECD, 2020). In addition, the OECD review concluded with respect to developing transdisciplinary approaches that “the UN and other international bodies…. can play an important role in building consensus and catalyzing action” and that this “requires changes not only within science systems but also support and engagement from other sectors of society”.
This United Nations Decade of Ocean Science for Sustainable Development (2021-2030) has a Vision for the “Science We Need for the Ocean We Want” and a Mission which includes “transformative ocean science solutions” (UNESCO, 2022a). The Decade requires financial resources in the region of US $5-7 billion over the first 5 years to fully meet the needs of implementation. The Decade has a process of endorsing existing initiatives and projects (UNESCO, 2021; UNESCO, 2022b). Resource mobilization has secured US $855 million, primarily through existing project endorsement, and a further US $15 million in new funds to support Decade action. A significant resource mobilization gap of >80% is apparent over the remaining 5 first years of the Decade; significant additional funds will be required to meet its objectives (UNESCO, 2022b).
With the UN sustainable development transformation being predicated on more integrated knowledge and outcomes, and consequently increasing levels of knowledge and understanding which traverse traditional discipline boundaries our research focuses on the research design of the financial resource gap of the Decade. In a perpetually resource limited environment, efficient and effective investments become a priority. In Decade terms, this translates to how best design future programmes, or design criteria to endorse relevant projects, which ensure this integration-dividend is captured and the transformation of Agenda 2030 advanced.
1.2. Transdisciplinarity for oceans
The Decade identifies that transdisciplinarity is the key to transformative knowledge; it states that one of the barriers to overcome to achieve SDG14 is that transdisciplinary approaches to ocean science require a systematic change to framing problems, identifying resources and disseminating results (UNESCO, 2022a). Transdisciplinary research has been defined as a comprehensive, multi-perspective, problem- and solution-oriented approach that transcends disciplinary boundaries and bridges science with practice (Pohl, 2011; Franke et al., 2022). The process of joint knowledge production between experts from different disciplines (Coghlan and Brydon-Miller, 2014), sectors, and decision levels, including joint problem formulation, knowledge generation, application in both scientific and societal practice, mutual quality control of scientific rigor, social robustness, and practical relevance leads to transdisciplinary co-production (Polk, 2015). This concept of ‘transdisciplinarity’ was developed in the 1970s (Jantsch, 1972; Piaget, 1972) before the principle of sustainable development (Brundtland, 1987) further encouraged integrative approaches.
Transdisciplinary research has been perceived to (1) tackle real life problems, (2) address the complexity of these problems by involving a variety of actors from science and practice and accounting for the diversity of their perspectives, and (3) create knowledge that is solution-oriented, socially robust, and transferable to both scientific and societal practice (Pohl and Hadorn, 2007; Lang et al., 2012; Berni, 2016). While there is still ongoing debate on definitions, transdisciplinarity can be differentiated from multidisciplinary, where knowledge stays within discipline boundaries, and interdisciplinarity, in which knowledge is a synthesis of disciplines in a coordinated and coherent whole. In many ways, transdisciplinarity transcends discipline boundaries by creating new integrated knowledge (e.g. Bammer, 2005 and Jahn et al., 2012); this is a fundamental essence of the transformation urged by Agenda 2030, and implicit in the UN Ocean Decade.
While the precise definition and role of transdisciplinary is becoming somewhat normalized but still debated within academia, approaches or tools to measure of assess transdisciplinary approaches are limited. Transdisciplinary studies are still relatively rare, making up <10% of coastal and marine published work (Riechers et al., 2022). Many of these studies articulate on transdisciplinarity and codeveloping solutions-oriented science (e.g. Arkema and Ruckelshaus, 2017, for the Caribbean ocean conservation; Syddall et al., 2021, for Pacific tuna fisheries), sometimes focusing on specific components of transdisciplinarity (such as knowledge integration in Swedish water research, Hoffmann et al., 2017). Whereas, other research discusses the form of projects that would promote transdisciplinarity (e.g. Brink et al, 2018 for ecosystem services and planning; Wolff et al., 2019, for management of river valleys; Franke et al., 2022; on marine real-work laboratories to support the UN Decade), but refrain from developing systematic analytical approaches or tools to assess and evaluate transdisciplinary progress.
1.3. Towards transdisciplinarity by design
Considerable time and effort were expended by the authors, and the broader team involved in the One Ocean Hub project, in framing and structuring transdisciplinarity in a practical and functional way to support development outcomes. A working definition emerged from this project through a collaborative deliberative analysis, involving one of the authors; “Transdisciplinarity is a collaborative research process between researchers and the individuals the research is supposed to engage, benefit, or consider, together developing a co-designed knowledge generation process” (Strand et al., 2022).
However, progression towards an analytical framework which had the potential to identify and characterize the transdisciplinary nature of ocean development investments was frustratingly elusive (Maharaj and Hills, 2021). This maybe reflects the challenge of moving from a well-found theoretical and conceptual basis of transdisciplinarity formulated in the past, to practical application in contemporary sustainability settings. In our context, literature prior to the emergence of transdisciplinary research agendas, decades ago, provided an entry point in practical application of transdisciplinary.
One major approach to transdisciplinarity stems from a March 2000 congress in Zurich, Switzerland, attended by ~800 people from more than 42 countries, including industry, government, and academics from nearly 40 disciplines (Klein, 2004). The goal of the conference was to develop transdisciplinary practice, promote transdisciplinary research, and create favorable institutional structures and power incentives (du Plessis et al., 2013; Segalàs-Coral and Tejedor, 2012). An approach was developed, subsequently termed the Zurich approach, for which the Network for Transdisciplinary Research (td-net) is still maintained by the Swiss Academies of Arts and Sciences (SAAS, 2022).
In formulation the Zurich approach fundamentally drew on the Mode approach to knowledge generation (Gibbons, 1994; Gibbons et al., 1994). In summary, the Mode approach identifies two polarized styles or approaches. Mode 1 focuses on problems of academic interest, which are implemented in disciplinary ways and involve scientists doing science as the normative process and organizational fixed hierarchical institutional arrangements. Whereas Mode 2 involves problems located within the domain of the solution, change-orientation in knowledge and practice and more transient institutional arrangement, and transdisciplinary research methods (Gibbons, 1994; Gibbons et al., 1994). Differentiation between Mode 1 and 2 in projects and initiatives was tractable (e.g. Mitchell, 2020); this was our entry point into contemporary ocean development investments.
The Mode 2 approach to knowledge production was embedded in the Zurich definition of transdisciplinarity and deliberation and discourse around transdisciplinarity were mainly fueled by Mode 2 knowledge production (Jahn et al., 2012). Gibbons and his colleagues “generalized key features of transdisciplinarity – heterogeneity, social responsibility and contextuality – into a new way to produce scientific knowledge (Jahn et al., 2012). Consequently, the authors took the Mode approach as a practical bifurcation for knowledge generation; with the structure and process of Model 1 obviating transdisciplinarity, whereas the structure of Mode 2 being obligate to, or at least promulgator of, transdisciplinary approaches.
1.4. Research aim and approach
The primary aim of the research presented here was to elaborate a tractable and practicable approach for the UN Ocean Decade to identify transdisciplinary investments which could meet its stated transformative agenda. A secondary aim was to provide an approach which could be used by development partners and governments more widely in designing transformative ocean-related interventions for developing countries.
This study was targeted at two Pacific SIDS which were selected as they were the two target countries in the region of the One Ocean Hub project supporting this work: Fiji and the Solomons Islands (the latter classified as a Least Developed Country). SIDS tend to have a strong reliance on ocean resources and, the South Pacific/developing country focus constrains itself to tractable and practical approaches due to the “persistent disparities in ocean science capacity” (Harden-Davies et al., 2022) and urgency of action. The approach of the authors was to journey through the bewildering array of generic discourse of transdisciplinary to create tangible and practical ways forward, which could be appreciated by development partners and in government offices in the South Pacific and elsewhere.
The unit of analysis was recently completed Overseas Development Assistance (ODA) supported ocean-related projects which were interrogated to determine their blend of Modes. To achieve this a literature review identified design features necessary to promulgate transdisciplinary approaches in ocean development projects, and then recently completed ocean-related development projects were interrogated.
2. Methodology
2.1. Development of indicators
An extensive literature analysis of published journal papers and books was conducted in order to extract the characteristics or features of Mode 1 and Mode 2. Each publication was reviewed in order to identify constituent indicators. The analysis identified and extracted features or characteristics which the authors conferred to being indicative of either Mode 1 or 2. Consolidation of the list of Mode 1 and 2 candidate indicators removed overlapping or nested indicators through aggregation undertaken by the authors. Following this consolidation process, there remained 31 indicators for Mode 1 and 37 indicators for Mode 2; indicative source references for each indicator were retained (Table 1). Although the literature on which the indicators emerged was extensive, some possible indicators may have been missed in other un-read publications. However, it is a working assumption that the 30+ indicators for Mode 1 and 2 were adequate to characterise the project approach.
Table 1 The groups, indicators and descriptions for Mode 1 and Mode 2 which make up the 4P framework.
Subjective iterative shuffling of the indicators was undertaken by the authors to try to identify coherent higher-level groupings of indicators. This process concluded with identifying four groupings of indicators which applied to both the Modes: Product, Process, Policy and People. The authors termed this the 4P framework and it was used as the basis of interrogation of specific ocean development projects (Table 1).
2.2. Selection of ocean-related projects
Development projects which included an ocean component in the South Pacific region and which were supported by Overseas Development Assistance were selected for interrogation by the 4P framework.
The project selection criteria were:
a. The project was targeted at Fiji and Solomon Islands which were One Ocean Hub target countries.
b. The project had to be recently completed so that final documentation was accessible.
c. The project appeared to involve multiple ocean-relevant disciplines.
d. The project included a research-type component, in that creating new knowledge and understanding was an objective.
Extensive internet search and then targeted discussions with local contacts (usually Project Manager/Director or Technical Staff who were involved in implementation of the projects) by the authors through email or direct conversation to establish the correct documents to review, led to the selection of the following projects for which comprehensive reporting was available:
1) National Marine Ecosystem Service Valuation (MESV) for Fiji and Solomon Islands, a part of the Marine and Coastal Biodiversity Management in Pacific Island Countries (MACBIO) project.
2) National Ecosystem and Socio-Resilience Analysis and Mapping (ESRAM) for Fiji and Solomon Islands, a part of Pacific Ecosystems-based Adaptation to Climate Change (PEBACC) project.
3) Reweaving the Ecological Mat (REM) project for Fiji.
2.3. Application of the 4P framework
Each project output was reviewed in detail to identify the presence of each of the 68 indicators in the 4P framework. Differences between the exact wording of indicators and the reporting documents were permitted for inclusion if the sense of use was similar. The presence of each indicator was verified by an extracted reference from the official project documents. To reduce possible bias, the initial findings obtained were sent to the other author for verification.
This process provides a dataset of the presence/absence of 68 indicators, across two Modes and four groupings, from five projects: MESV-Fiji, MESV-Solomon Islands, ESRAM-Fiji, ESRAM-Solomon Islands and REM-Fiji. Samples of text from project documents which helped to identify presence of indicators are provided (Table 2). All indicators were assumed to be independent and were equally weighted in the subsequent analysis, as there was no rational a priori basis for weighting.
Table 2 Example compilation of edited extracts from the reports on which indicator presence was determined, divided into the 4P groups for brevity.
2.4. Statistical analysis
Statistical analysis was undertaken to determine the difference between Mode 1 and Mode 2 indicators by project. χ2 analyses were undertaken between each project pair, with the null hypothesis that the expected distribution of indicators present for Mode 1 and for Mode 2 was equal between pairwise projects. A Bonferroni adaptation was applied to the significance level of the χ2 value to reduce the chance of obtaining false-positive results (type I errors) when multiple pairwise tests are performed on a single set of data (Sokal and Rohlf, 1995). The Bonferroni adaptation involved dividing the χ2 value by the total number of pairwise tests undertaken for each of the threshold significant levels (P<0.05 to P<0.001); this meant that higher χ2 values were required to be significant.
3. Results
3.1. Analysis of indicators
The presence of each of the 68 indicators in each of the 5 analysed projects is presented (Figure 1). The presence of multiple Mode 1 indicators can be seen in all of the projects, although REM has only two (Figure 1A). However, REM demonstrates presence of all Mode 2 indicators, with other projects demonstrating varying frequencies of Mode 2 indicators (Figure 1B).
Figure 1 Presence of indicators derived from reports of each of the 5 analysed projects for Mode 1 (A) and Mode 2 (B) (FJ = Fiji, SI = Solomon Islands).
3.2. Comparative analysis by Mode
The percentage of Mode 1 and 2 indicators present for were determined (Figure 2). All projects had a combination or mix of Mode 1 and Mode 2 indicators. In four of the five projects Mode 1 indicators were more prevalent than Mode 2. However, in the REM project all Mode 2 indicators were present.
Figure 2 The percentage of indicators present in Mode 1 and Mode 2 for each of the 5 projects.
MESV-FJ and REM were dominated by one research Mode (Mode 1 and Mode 2, respectively), whereas the three other projects had more of a mix of Modes; ESRAM-SI had a near equal balance of Mode 1 and Mode 2 indicators. In the analysed sample of projects, there seemed to be a trade-off between Mode I and Mode 2, with either one Mode dominating or a moderate balance between the two Modes.
The χ2 analysis showed highly significant (P<0.001) differences between REM and all other projects in terms of indicators (Table 3). There was also significant differences in the same programme (ESRAM and MESV) but implemented in Fiji and Solomon Islands suggesting that national-level design and implementation approaches are a significant factor in project delivery, even when they are under a common multi-country programme. ESRAM-SI, with its relatively similar balance of Mode 1 and Mode 2 indicators, was significantly different to MESV-FI, having notably more Mode 2 indicators, but also significantly different to REM partly through having more Mode 1 indicators. This suggested that ESRAM-SI holds a central point which is significantly different to projects dominated by Mode 1 and by Mode 2, and thus in a statistical sense the Mode model is not just bipolar but a continuum.
Table 3 The significance of pairwise χ2 tests between projects for Mode 1 and Mode 2 indicators: with NSD = not significantly different; * = P<0.05; ** = P<0.001; and *** = P<0.0001", (χ2 with 3 degrees of freedom, P values with Bonferroni adaptation).
3.3. Analysis by 4P grouping
The percentage presence of indicators with each of the 4P groups for Mode 1 and Mode 2 was determined to indicate of the relative strength of that group in each project. The MESV project in Fiji and Solomon Islands demonstrated a balance towards Mode 1 with all the 4P groups in Mode 1 having a high percentage of indicators present (over 80%, except Product in Fiji) (Figure 3). In fact all possible Mode 1 indicators were present for Process (100%) and Policy (100%) in Fiji, and Process (100%) and People (100%) in Solomon Islands. Whereas, the presence of Mode 2 indicators in MESV was low being 0 to 40%, except for the People group in Solomon Islands (Figure 3B). Comparing MESV between the two countries, the Solomon Islands has a stronger presence of Mode 2 indicators compared to Fiji. The absence of Mode 2 Product and Policy groups in Fiji, and the People focus on Solomon Islands, again reflect differences in implementation between the countries.
Figure 3 National Marine Ecosystem Service Valuation (MESV) analysis using showing percentage presence of indicators Mode 1 and Mode 2 in the 4P groups: (A) Fiji, (B) Solomon Islands.
4P analysis of the ESRAM project demonstrated a similar general trend to MESV, with differences between the project in the way it was implemented between the two countries and the Solomon Islands demonstrating stronger Mode 2 elements compared to Fiji (Figure 4).
Figure 4 National Ecosystem and Socio-Resilience Analysis and Mapping (ESRAM) analysis using showing percentage presence of indicators Mode 1 and Mode 2 in the 4P groups: (A) Fiji, (B) Solomon Islands.
The REM project was focused on Fiji. The analysis indicates much stronger Mode 2 bias in its implementation compared to both MESV and ESRAM (Figure 5). The REM project demonstrates presence of all of the Mode 2 indicators in each of the 4P categories. There were some small elements of Mode I in REM, with <20% of Mode I indicators present in Process and People groups.
Figure 5 Reweaving the Ecological Mat (REM) analysis showing percentage presence of indicators Mode 1 and Mode 2 in the 4P groups.
4. Discussion
4.1. A lens into transdisciplinarity
Literature analysis confirmed that there was a major distinction between Modes. Mode 1 indicators reflect a more scientifically based and academic led venture, while Mode 2 indicators emphasized diversity, mutualism and social aspects of research which had transdisciplinarity at the core. The analysis presented here was conducted using the 4P’s Framework which captures these literature-derived differential characteristics between Mode 1 and 2. Projects like MESV-FJ proved to be mainly Mode 1 with a focus on scientific knowledge generation in this case in relation to ecosystem service economic valuation, while REM-FJ proved to be predominantly Mode 2 with strong elements of collaboration and mutual learning. The ESRAM-SI project had a relatively balanced blend between Mode 1 and Mode 2 drawing on both knowledge production and collaborative learning, and demonstrating that projects can reflect a mix of Mode and 2 approaches. In our project examples, we found a range from discipline-focused scientific knowledge production, to socialized holistic and transdisciplinary knowledge and understanding advancement.
It is envisaged that the 4P framework might provide a useful framework for assessing the blend of Mode 1 and Mode 2, with provision of designing-in further Mode 2 characteristics which promote transdisciplinary outcomes. The framework has relevance before, during (such as mid-term review) and after project completion and used to incrementally progress the transdisciplinary nature of ocean investments. The potential of the 4P’s framework is that it represents a practical tool for advancing the design of ocean-related investment which promote transdisciplinary and thus the sustainable development transformation as per Agenda 2030. Implicit in this framework are some key requirements for development project design, such as multi-stakeholder involvement and participation, and inclusion of a diversity of ocean-based knowledge.
To achieve the Agenda 2030-style transformation, further investigation of practical implementation of multiple disciplinary approaches in development contexts need to be progressed. Present knowledge systems are not fit-for-purpose for the global challenges and need vast and rapid shift in focus (Fazey et al., 2020). The 4Ps framework captures many elements of disciplinarity drawn from the literature, yet further frameworks and tools in securing transformative design of ocean investments can further progress transdisciplinarity. For example, Norström et al. (2020) focus on principles of knowledge co-production to address complex sustainability problems, Cundill et al. (2015) focus on team composition and the social process of learning, and Rigolot (2020) places transdisciplinarity centrally in Mode 2, but as “a way of being” within a broader discipline of “integration and implementation sciences” (i2S).
Yet, to promote transdisciplinarity further as a practical instrument for transformative outcomes, there is a need for empirical and experiential studies on transdisciplinarity. Complementary to sematic and conceptual progression, future work needs to clarify the roles and responsibilities of involved actors (Hoffmann et al., 2017), and include personal values and ethics (Wolff et al., 2019). To move towards transdisciplinary, substantive epistemological shifts will be required which traverse sustainability- and development-based knowledge generation, and involve a collaboration of scientists, funders, governments and international organizations (OECD, 2020). The holistic but practical nature of the 4P framework has the potential to be an instrument with multiple entry points for promoting transformative approaches for sustainable development. With further research the 4P framework could be used to reflect on the design and implementation of past initiatives, or for setting guidelines or guardrails for the design of new initiatives which aim to inculcate transdisciplinarity as a mechanism for promoting transformative outcomes.
4.2. Transdisciplinarity and the UN ocean decade
The UN Decade notes the need to move beyond “business as usual” and towards “transformative ocean science” with the UN 2030 Agenda being positioned as the “central framework” (UNESCO, 2022a). As most of the financial resources are based on external initiatives which are endorsed by the Decade, the procedure for endorsement of initiatives is paramount in shaping the Decade and its outcomes. Agenda 2030 emphasizes the need for transformational endeavors, and transdisciplinarity is seen as one way to progress such transformation, yet this is weakly reflected in the endorsement criteria. It should also be noted that endorsement calls revolve around the 10 challenges stated by the UN Decade, which include reducing pollution, protecting biodiversity, developing equitable ocean economies and expanding Global Ocean Observing, but the criteria are tacit on the epistemological revolution required in knowledge-systems and transdisciplinarity for transformative outcomes (in the sense of e.g. Fazey et al., 2020).
General terminology in the UN Decade endorsement criteria, state, for example, that initiatives will “contribute to the achievement of the SDGs”, and that initiatives should lead to “uptake of science and ocean knowledge for policy, decision making, management and/or innovation” (UNESCO, 2020). This is alongside more specific criteria related to other features, including co-design, data access, partnerships and overcome barriers to diversity and equity. The need for integrated, multiple-discipline or transdisciplinary approaches for transformative action is not explicitly mentioned in the endorsement criteria. The Decade rhetoric on ocean knowledge for transformation does not seem to be fully balanced with the constituent project endorsement criteria.
Furthermore, contrary to the need for strong leadership in securing the future of the oceans, the endorsement procedure represents passive absorbance of existing funded initiatives. Only in the case of “Potential Decade Actions” are initiatives at the design stage and have not secured financial resources. The work presented here has demonstrated tractable ways of analyzing project design to determine if it prevents, or promotes, transdisciplinary, or for revising project design such that transdisciplinarity is promoted. The opportunity for driving forward transdisciplinary approaches with transformational outcomes is apparent within the Decade. However, mass endorsement of projects based on generalist guidelines may help to reduce the significant Decade financing gap, but will passively track “business-as-usual” and fail to meet the high-level rhetoric and ambition of the Decade and Agenda 2030.
5. Conclusions
Defining tractable ways forward from dialogues around transdisciplinarity to meet the Agenda 2030 challenge for integrated outcomes remains a challenge. The work presented here attempts to provide a practical process contributing to the design and assessment of transdisciplinary ocean-investments. With limited capacity and constrained financial resources in developing countries, and urgent ocean-related challenges especially in SIDS, moving from “business-as-usual” approaches to transdisciplinary and transformational outcomes is a priority. Expanding further ocean-based knowledge, may not be a sufficient path to transdisciplinary and transformational outcomes; this has connotations to filling the financing gap in the UN Ocean Decade, as well as shaping significant investments by development partners into oceans.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
Author contributions
JH initially conceived the study and it was further developed by PM. The 4P’s framework was developed under the guidance of JH by PM. Data analysis and visualisation was carried out by JH and PM. All authors contributed to the article and approved the submitted version.
Funding
This research was funded by the One Ocean Hub project. The One Ocean Hub is a collaborative research for sustainable development project funded by UK Research and Innovation (UKRI) through the Global Challenges Research Fund (GCRF) (Grant Ref: NE/S008950/1). GCRF is a key component in delivering the UK AID strategy and puts UK-led research at the heart of efforts to tackle the United Nations Sustainable Development Goals.
Acknowledgments
We would also like to especially acknowledge the wider One Ocean Hub team, especially those from The University of the South Pacific, the Pacific stakeholders who were involved in preliminary workshops, and Dr Megan Seneque for the many deliberations which have helped shape this work.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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Keywords: ocean, policy, transdisciplinary, transdisciplinarity, Pacific, development, SIDS
Citation: Hills JM and Maharaj PN (2023) Designing transdisciplinarity for transformative ocean governance. Front. Mar. Sci. 10:1075759. doi: 10.3389/fmars.2023.1075759
Received: 20 October 2022; Accepted: 31 January 2023;
Published: 16 February 2023.
Edited by:
Helena Calado, University of the Azores, PortugalReviewed by:
Christian T. K.-H. Stadtlander, Independent Researcher, Destin, FL, United StatesMaria Gabriela Palomo, Independent Researcher, Buenos Aires, Argentina
Copyright © 2023 Hills and Maharaj. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jeremy Maxwell Hills, amVyZW15LmhpbGxzQHVzcC5hYy5mag==
†These authors have contributed equally to this work and share first authorship