Abstract
The United Nations’ Sustainable Development Goals (SDGs) are an important global framework which provides a shared vision for a more sustainable future for all people and the planet. In the last five years, citizen science as a discipline has paid increasing attention to the SDGs and the contributions that citizen science could make towards their achievement. This paper presents a collection of 51 questions and a corresponding set of answers which can be used by citizen science projects to self-assess their impact towards the SDGs. The questions and answers were originally derived from the official UN description of the SDG targets and indicators and were refined through a workshop and series of nine interviews with citizen science project coordinators. The outcomes of the workshop and interviews reveal the challenges of assessing impacts towards the SDGs in a way which is relevant to the majority of citizen science projects. In many cases, the wording of the SDGs had to be altered to make sense in the context of citizen science. The final set of questions and answers are structured to reflect two pathways of impact: citizen science contributing to the (official) monitoring of the SDGs, and citizen science contributing to the direct achievement of the SDGs.
1. Introduction
The UN Sustainable Development Goals (SDGs) were set up in 2015 and, since the addition of targets and indicators in 2017, monitoring and assessment have been a central part of activities working towards the goals [1]. As a broad, global framework, many organisations and projects have attempted to connect their work to the SDGs and report on their contribution towards the achievement of the goals, albeit often in a superficial manner [2]. In response, several tools have been developed to help organisations assess their impact with regard to the SDGs [3,4]. The citizen science community has also demonstrated interest in the SDGs. Recent examples include the 2020 Citizen Science SDG Conference [5] and previous Special Issues in scientific journals [6]. Particular attention has been given to how citizen science could contribute data to the (official) monitoring of the 231 unique SDG indicators [7]. An effort to map the contribution of citizen science to the SDGs concluded that citizen science data are already used to monitor 5 SDG indicators, and could be used for the reporting of a further 76 indicators [8].
The input of citizen science to the SDGs is not limited to monitoring indicators; it also has the potential to directly contribute to the achievement of the goals and targets [9], as well as supporting broader societal changes (multi-stakeholder partnerships, education, and citizen involvement in policy), which are prerequisites to many of the changes envisaged in the SDGs [10]. The balance of these two impacts (monitoring and achievement) varies from project to project, with some projects focusing more on one than the other. For example, FreshWater Watch, a water quality citizen science project, focuses on monitoring the parameters of indicator 6.3.2.; however, through the involvement and education of citizens, the project additionally contributes to the achievement of Target 6.b: “Support and strengthen the participation of local communities in improving water and sanitation management” [11]. In other cases, such as food waste (SDG target 12.3), citizen science has the potential to contribute more by influencing action through behaviour change and policy influence, rather than only collecting data for the corresponding indicator [12]. In many cases, a project may not even have the ambition to contribute to the monitoring of an SDG indicator but may still carry out actions relevant to the achievement of the SDGs. For example, education is commonly included as an element of citizen science projects, and the impact on participant’s learning and scientific literacy has the potential to help achieve several SDGs, most obviously SDG 4: “Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all” [13].
In a previous study, a majority of citizen science projects (27 of 30) were found to have a superficial or nonexistent involvement with the SDGs; the only exceptions were projects which fed data directly into reporting for SDG indicators [14]. This shallow or nonexistent involvement with the SDGs may seem surprising given the increasing prevalence of SDGs in citizen science projects. As the paper concludes, some of this difference may be due to technical difficulties and other barriers in reporting on SDG indicators. However, by focusing on citizen science data and the monitoring of SDG indicators, the authors might also miss other contributions of projects towards the achievement of the SDG targets. One reason for this omission could be that there is not currently a clear or consistent way to assess the contribution of citizen science projects towards the implementation of the SDGs, so connections are labelled as “superficial”. For example, a recent attempt to create a self-assessment for European citizen science projects on their contribution to the SDGs asked projects to assess their impact at the level of the 17 goals [15]. Given the lack of detailed knowledge of the SDGs among citizen science projects, and the fact they often have a local scope, it is perhaps unsurprising that assessments at the broad level of the SDGs lead to statements of projects’ superficial impact [14].
Even if, to date, more has been carried out to consider the contribution of citizen science to the monitoring of the SDGs rather than to their implementation, future assessments of citizen science should consider both impacts on the SDGs, not least because a recent study found more potential for projects to make progress towards indicators rather than monitoring them [16]. Furthermore, the SDGs that citizen science has the greatest potential to monitor could potentially be significantly different from those it has the greatest potential to contribute to the achievement of. The four SDGs identified as having the greatest potential for monitoring by citizen science are the following: SDG 15—“Life on Land”; SDG 11—“Sustainable Cities and Communities”; SDG 3—“Good Health and Wellbeing”; SDG 6—“Clean Water and Sanitation” [8]. Meanwhile, another study found the goals most used by citizen science projects in addition to these four were the following: SDG 4—“Quality Education”; SDG 13—“Climate Action”; SDG 17—“Partnership for the Goals” [10]. Whilst these three goals might be less suitable for citizen science monitoring, they are closely aligned with common citizen science impacts (on education, awareness raising, behaviour change, and multi-stakeholder collaborations). A holistic assessment of the impact of citizen science across all the SDGs must therefore consider project contributions to both the monitoring of indicators and the achievement of targets and goals.
Given the predictable increasing prevalence of SDGs in the public discourse until 2030, and the corresponding pressure for projects to incorporate them, there is a need for clear and consistent methods to monitor the impact of citizen science on the SDGs. As a related advantage for citizen science, having a stronger link to the SDGs can help projects secure more funding [14]. Indeed, the SDGs are frequently mentioned in funding calls and the European Commission often specifically requests that proposals consider and address the SDGs, including in the Horizon 2020 SwafS-15-2018-2019 call, under which the MICS project was funded [17]. MICS, “Measuring the Impact of Citizen Science” (https://mics.tools, accessed on 28 February 2022), is a research project of which this study forms a part, and which is developing a platform and toolbox to help citizen science projects to measure their impacts across five domains: society, the economy, governance, the environment, and science and technology. MICS builds on the current state of the art and past learnings by carefully considering and adopting approaches from previous impact assessment methods and combining them in a new framework [18]. The primary expected users of the MICS platform will be citizen science project coordinators. A project coordinator is responsible for leading the research and managing a citizen science project, and is typically a professional employed to carry out this role and coordinate the actions of participating citizen scientists.
This paper presents an attempt to create a practical approach to assess the impact of citizen science projects towards the SDGs. The developed method considers the contribution of citizen science towards both the monitoring and achievement of the SDGs, reflecting the range of connections between citizen science and the SDGs identified in the literature. By applying the SDGs in an impact assessment framework, this research demonstrates some strengths and challenges of using the SDGs as the basis of citizen science impact assessment.
2. Materials and Methods
2.1. Experimental Design
This study was designed to critically assess the suitability of the Sustainable Development Goals for the impact assessment of citizen science projects. It forms part of a larger study within the MICS project, which aims to develop a set of characteristics (captured through a set of questions and answers) that form the basis of an impact assessment method. The experimental design was based on standard methods in survey development and pretesting. The questions and answers were assessed and refined through an iterative process, with data gathering split over three rounds in order to allow for experimental testing, whereby changes made to the questions based on feedback in the initial rounds could be validated in future rounds [19]. Firstly, a workshop was held with three citizen science project coordinators using a co-participation method where the project coordinators gave feedback simultaneously [20]. This was followed by two rounds of five and four cognitive interviews, respectively. Cognitive interviews collect user feedback to identify issues in questionnaires, helping to reduce response errors when the survey is deployed [21]. Both the workshop and the cognitive interviews used “think aloud” protocols, which allow interviewers to better understand participants’ thoughts and reactions in comparison with typical question prompts [22]. The workshop and interviews aimed to test and refine the structure and content of a set of questions and answers used to assess the impact of citizen science projects. The aims, methods, and handling of data in the study were approved by Earthwatch Europe’s ethics process (application code: MICS003).
2.2. Questionnaire Design
The initial set of questions was extracted from a literature review of citizen science impact assessment methods [18]. Some additional sources were also considered, including the ECSA characteristics of citizen science [23] and the SDG descriptions. An initial set of 152 questions was either directly extracted or adapted from these sources. Each question was assigned a unique three-digit number for identification, for example, “question 007”. A collection of answers was also defined for each question. The questions then underwent an informal expert review among this paper’s authors. The questions and corresponding answers were edited based on this review, resulting in a revised set of 159 questions. These questions were grouped into six categories: “general” questions comprising the first category, and five categories of questions related to five domains of impact (society, the economy, governance, science and technology, and the economy). The questions were transferred into a series of online questionnaires, one for each of the categories. Examples of these questionnaires are available in Supplementary Materials (Document S1). This study focuses on the 41 questions (of the total 159) related to the SDGs.
2.3. Workshop and Interview Structure
The workshop and interviews followed the same overall structure. The sessions started with a short welcome and introduction, lasting approximately five minutes. In this time, the interviewers explained the overall objectives, the context for this study, the purpose of the workshop or interview, and details of how the data collected would be handled and used. The introduction also included an explanation of practicalities for the session, for example, how interviewees could access the questionnaires, and approximate timings for the workshop or interview.
The main structure of the workshop and interview was based on the six questionnaires. During the sessions, the project coordinators worked their way through the questionnaires answering all the questions which were applicable to their project. During the workshop, the questionnaires were answered in the following order: 1—general; 2—society; 3—governance; 4—economy; 5—environment; 6—science and technology. For the nine interviews, the order of the questionnaires was manipulated to reduce bias from participant fatigue for the later questions or from the order of related questions in different questionnaires. The order of the questionnaires answered is summarised in a table available in Supplementary Materials (Document S2). The interviewers introduced each questionnaire and then read out each question, allowing time for the interviewee to answer the question and explain their reaction to the question. A set of discussion prompts were also used to help elicit feedback from the project coordinators. For example, interviewees might be asked the following: “Does the question feel relevant to your project?” or “Do you need further information to answer the question?”.
After the project coordinators had answered all the questions in each questionnaire, there was a short, semi-structured discussion designed to encourage feedback on the questionnaire as a whole, and allowing project coordinators further opportunity to give feedback on specific questions. For the interviews, an additional set of discussion prompts were added to gather more details on the project coordinators’ experience with the Sustainable Development Goals. Once all questionnaires had been answered, there was an additional semi-structured discussion to allow the interviewees to reflect on the process of answering all the questionnaires. The workshop and interviews both ended with a short closing section where the interviewers debriefed the project coordinators on the next steps, including how the results from the study would be used. Full details of the session structure, including the question prompts used, are set out in Document S3 (see Supplementary Materials).
2.4. Workshop Procedure
The workshop took place in April 2021 and was held in a meeting room at the Earthwatch office in Oxford, UK. Two workshop facilitators and the three project coordinators invited to participate were present. One facilitator was responsible for moderating the session and leading discussion, whilst the other facilitator took notes from the workshop. The workshop followed the structure described in the section above. Each of the project coordinators used their own laptops during the workshop to access the questionnaires and submit their responses. For each questionnaire, a workshop facilitator guided participants to answer the questions at the same time as each other by reading out each question in turn. Time was allowed after each question had been answered for the project coordinators to discuss and give feedback on the question. A series of prompt questions were written on a whiteboard in view of all the workshop participants. These prompts were read out and explained at the start of the workshop, and participants were invited to consider them throughout. At the end of each questionnaire, following a short discussion on the questions, the participants were offered a break and reminded they were able to request a break at any time during the session. In total, the workshop lasted just over four hours.
Notes were taken throughout the workshop, capturing the participants’ feedback and any additional observations from the facilitators. Notes were recorded in a matrix so that each comment could be associated with both the corresponding question and the project coordinator or facilitator who made the comment. After the workshop, the notes taken were reviewed for spelling or grammar errors and, if necessary, edited to make sure the original intention of the workshop participant had been sufficiently captured. This also gave the workshop facilitators an additional opportunity to add any comments about the workshop. In the days after the workshop, the notes collected were analysed and discussed by the two workshop facilitators and, where possible, changes were made to the questions and answers to resolve issues identified in the workshop. If a change could not be agreed by the two workshop facilitators, then the feedback on that question was discussed by a panel of four researchers (including the original two facilitators) who then agreed whether and how the question and answers should be changed.
2.5. Interview Procedure
The nine interviews took place between April and June 2021. The interviewees were invited via email to take part and sent a consent form, which they signed and returned prior to their interview. At least two interviewers were present at every interview: one to facilitate the interview and one to take notes. Eight of the interviews were held online using the GoToMeeting video conferencing software, and one took place in person at the Earthwatch office. The interviewees used their own devices to access the questionnaires which were emailed to them at the start of the interview. The interviews followed the same structure as the workshop with the addition of a series of discussion prompts added to obtain more details from the interviewees about the relevance of the SDGs to their project (available in Document S3 of Supplementary Materials). The questionnaires were answered in a predetermined order, which was different for each interview. After interviewees had answered and given feedback on all the questions in each questionnaire, there was a short, semi-structured discussion. Participants were offered a break after the end of each questionnaire and were reminded that they were able to request a break at any time during the interview. The interviews lasted between 4 h 56 min and 2 h 30 min, inclusive of breaks (mean 3 h 59 min; median 3 h 54 min). Data were collected in the same manner as the workshop, with interviewee comments and interviewer observations captured in a matrix with the questions. After each interview, the notes taken were cleaned, correcting spelling mistakes or sentences with an unclear meaning. Once the first set of five interviews had been completed, the notes from each of the interviews were combined with the notes from the workshop and were analysed by the interviewers. Changes were made to the questions and answers in the same way as after the workshop. The same process of analysis and revisions was undertaken after the final four interviews had been carried out.
2.6. Participants and Projects
In total, twelve project coordinators were invited to take part in the study. A previous study within the MICS project had interviewed eleven project coordinators, all of whom were invited to participate in this study, and six of whom agreed to take part. Details of the previous study and the recruitment of participants is reported in Sprinks et al. [24]. A further six project coordinators were recruited who had all responded to an open invitation to help test the MICS impact assessment approach, which was advertised at a number of citizen-science-themed conferences and events. This approach allowed participants to “opt-in”, and the authors only contacted those who had already expressed an interest in participating.
The twelve project coordinators each represented a different citizen science project. One of the projects operated only at a local level (within a single city), six of the projects operated at a national level, two of the projects operated across multiple countries, and three of the projects operate worldwide. The projects studied a variety of topics, including the following: water quality, astronomy, biodiversity, plastic pollution, accessibility, nature-based solutions, air quality, and algorithm bias. At the time of participating in this study, seven of the projects were active, four of the projects were no longer possible to participate in, and one project was yet to start. The project coordinators worked in a variety of organisations whilst managing citizen science projects. Five of the coordinators worked at private research institutes, three of the coordinators worked at universities, two of the coordinators were representing NGOs, one coordinator worked at a think tank, and one coordinator worked at an SME. In recognition of the considerable time and energy spent by the study participants, interviewees and workshop participants were offered a pizza as compensation. Only six of the twelve project coordinators accepted the offer to have food purchased for them during the study. All participants were also offered the chance to see some of the MICS project’s recent progress, including mock-ups for the MICS platform.
2.7. Analysis
Analysis of data for this study focused just on the characteristics related to the SDGs. The analysis approach was based on the six phases of thematic coding described by Braun and Clarke [25]. All the comments made in the workshop and interviews were collated together in a single file. In total, 227 comments were extracted, 217 of which were directly associated with a question, and 10 of which came from the open discussions at the end of each questionnaire. This list of comments was then read and given initial codes (multiple codes were often given to the same comment). In this process, 34 different codes were assigned 364 times across the comments. Once all comments had been coded, the 34 codes were amalgamated into 10 themes, described in Section 3.3. For example, two codes, “question requires knowledge of SDGs” and “SDG not relevant to project”, were combined to form the theme “difficulty with SDG”. The response rates of participants were also analysed, giving a quantitative indication of which questions they were interested in answering and which areas they considered they were having an impact in. Response rates were calculated by dividing the total number of responses given per question by the maximum possible number of responses, i.e., the number of participants who were asked that question. Positive response rates were calculated by dividing the number of responses, which indicated whether a project was having an impact on the related SDG by the total number of responses given to a question (not the total number of possible responses). Analysis of the questions was also aggregated to the level of the SDGs by associating each question with the corresponding goal, target, or indicator. The response rates and themes connected to each question could then be combined for each SDG.
3. Results
3.1. Question and Answer Revision
Over the course of the workshop and interviews, the original list of 41 questions related to the SDGs was expanded to a group of 51 questions. The number of changes to the questions are summarised in Table 1.
Table 1.
Summary of number of changes made to questions and answer options.
In total 13 questions were added and 3 questions were removed. Most of the new questions which were added arose from questions being split apart for clarity. For example, a question related to sustainable cities was split into two questions, one asking generally about sustainable cities and one specifically focussed on air quality.
3.2. Questionnaire Responses
During the workshop and interviews, it was possible for participants to skip answering a question if they deemed it was not relevant to their project. Analysing the response rate of each question can therefore give an indication of which questions—and by extension, which SDGs—were relevant to the projects which were interviewed. For the 43 questions asked in the second round of interviews which are related to the SDGs, the average response rate was 85%, i.e., on average, only 10 of the 12 participants would choose to answer each question. In comparison, the overall average response rate for all the questions was 90%, and was 93% for questions not related to the SDGs. Of course, responding to a question is not necessarily an indication that the question is relevant to a project, since it was possible for project coordinators to answer “no” or “I don’t know” to most questions. Another indicator of a question’s relevance to projects was, therefore, their positive response rate: the proportion of responses to a question that suggest a project had an impact in that area. To determine which could be classed as positive responses, the answers to each question were compared with the corresponding SDG goal, target, or indicator, and the options which suggested a project had an impact in that area were highlighted. In the examples below, the positive responses are indicated in bold. Question 154 is a single-select question, whilst multiple answers can be selected for Question 143. In the case that multiple answers can be selected for a question, only one of the positive answers has to be selected for the response to be classed as a positive response, i.e., an interviewee would not have to select all of the bold answers to Question 143 for their answer to be categorised as a positive response.
Question 154: Does the project explicitly promote diversity and inclusion among all relevant participant groups?
- Yes
- No
- I don’t know
Question 143: How does the project contribute to the formal education of participants (for example, by working with schools)?
- Pre-primary-level education to children
- Primary-level education to pupils
- Secondary-level education to pupils (middle and high school)
- Tertiary education to students (university, college and vocational courses)
- Adult education or life-long learning
- The project does not contribute to the formal education of participants.
- I don’t know
The average positive response rate for the questions related to the SDGs was 41%. The average positive response rate for all questions was 60%, and the average positive response rate for non-SDG related questions was 67%. The response rates for questions grouped by SDG are summarised in Table 2. For example, 2 questions relating to SDG 2, “Zero Hunger”, were asked to all 12 participants. Only 11 responses were given across these 2 questions. The highest possible number of responses to these questions was 24, giving a response rate of 46% (11 divided by 24). Of these 11 responses, only 1 answer indicated a project was having an impact related to SDG 2. This gives a positive response rate of 9% (1 divided by 11).
Table 2.
Response rates for questions related to each Sustainable Development Goal.
3.3. Comments and Discussion
Across the workshop and interviews, the 12 participants made a total of 227 comments in response to questions related to the SDGs. These comments can be described with 10 themes, which are summarised in Table 3. (Some comments fit several themes; hence, the total number of comments in Table 3 is 364).
Table 3.
Summary of the themes arising from the thematic analysis of the workshop and interview comments. Quotes from participants are given in italics. Themes are ordered by number of corresponding comments.
3.4. Updated Questions Related to SDGs
The updated set of 51 questions related to the SDGs are presented in Figure 1 and Table 4. Figure 1 shows a flow chart of six questions which assess the project’s knowledge of the SDGs and their contribution to the monitoring of SDG indicators. These six questions cover all the goals and indicators of the SDGs. Table 4 presents the remaining 45 questions, grouped by the SDG they relate to. These questions correspond with 16 of the 17 SDGs, 52 of the 169 SDG targets, and 8 of the 231 unique SDG indicators. Some of the questions allow multiple answers to be selected, whilst some require one answer only to be chosen. The wording of the questions has been adapted from the original wording in the SDGs so the strength of relation between the questions and corresponding targets and indicators varies between questions. Some questions very closely match the SDGs; for example, question 408 uses almost identical wording to SDG Target 12.6, as follows:
Figure 1.
Flow chart showing the relation between six of the questions related to the SDGs.
Table 4.
Updated questions and answers ordered by SDG.
Question 408: Does the project collaborate with external companies to enable the adoption of sustainable practices?
SDG Target 12.6: Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle.
Other questions have become less directly linked to the original SDG. For example, question 156 asks about inclusivity within the project.
Question 156: Does the project actively engage participants from disadvantaged or historically marginalised backgrounds?
SDG Target 1.4: By 2030, ensure that all men and women, in particular the poor and the vulnerable, have equal rights to economic resources, as well as access to basic services, ownership and control over land and other forms of property, inheritance, natural resources, appropriate new technology and financial services, including microfinance.
Whilst inclusion is an element of SDG target 1.4., it is predominantly about reducing economic inequality and poverty. Someone answering “yes” to question 156 would therefore not be guaranteed to be contributing to SDG target 1.4.
4. Discussion
This study presents a set of questions, tested and refined over a series of interviews, assessing the impact of citizen science projects on the SDGs. Analysing the responses of citizen science project coordinators to these questions helps to reveal the potential connections between citizen science and the SDGs, as well as the issues that arise when trying to empirically assess these connections.
4.1. Relevance of the SDGs to Citizen Science
Including a significant number of questions related to the SDGs in a general impact assessment framework for citizen science projects only makes sense if the SDGs are relevant to citizen science projects. Analysing the response rates for each question gives some indication of which of the SDGs the project coordinators found relevant. Five SDGs have response rates lower than 50% (SDG 2, 6, 7, 14, and 15). Of these, three SDGs (6, 14, and 15) had a 100% positive response rate, whilst SDG 2 and 7 had positive response rates of 9% and 0%, respectively. The low response rate for these five goals is perhaps unsurprising given that the questions related to these SDGs are very thematically specific. For example, a project coordinator is very unlikely to answer a question related to “life below water” (SDG 14) unless it focuses on marine environments. The difference in positive response rates, however, suggests that, although the questions related to SDGs 6, 14, and 15 were not relevant to every project, for projects which worked on these topics, they were very relevant and easy to answer. Meanwhile, the low positive response rates for SDG 2 and 7 suggests that these questions were not relevant, at least for the projects interviewed. The thematic specificity of these questions could explain why the response rates and positive response rates were, on average lower, for the SDG questions than the other questions. The low response rates for these SDGs in this study do not necessarily suggest that they are not worth including in an impact assessment framework; they simply reflect the thematic bias in the project coordinators who participated in the workshop and interviews. It is clear, however, that not every SDG will be relevant to every citizen science project.
In contrast, the three SDGs with both high response rates and high positive response rates (SDG 4, 13, and 16) cover topics which are relevant to the discipline of citizen science, regardless of the thematic focus of the project. For example, questions related to SDG 4 ask about the education and training of citizen scientists, which is a common objective of citizen science projects. Similarly, one question related to SDG 13 asks about the education of participants about environmental challenges, which is relevant to most citizen science projects with an environmental objective. The questions related to SDG 16 are about public participation in decision making and whether project outputs are open access. Again, it is likely that these questions are relevant to most projects, given the strong relation between citizen science, open science, and democratisation.
It is also interesting to examine the SDGs with high response rates but low positive response rates (SDG 1, 3, 5, 8, 10, and 17). This pattern could indicate topics relevant to projects, but on which the projects do not have an impact. For example, the questions based on SDG 1, 3, 5, and 10 are all related to various forms of diversity and inclusion, which are commonly discussed topics among citizen science practitioners, but which projects often do not have time to tackle directly. The questions on economic growth (SDG 8) and international cooperation (SDG 17) might also be related to the long-term objectives of projects but are too broad or ambitious for most projects to impact directly.
In a previous study [24], citizen science project coordinators were interviewed about their current approaches to impact assessment and their ability to assess impact. In these interviews, project coordinators gave the highest proportion of negative comments about their ability to assess impacts for SDGs 3 and 4, and gave the highest proportion of positive comments about their ability to assess impacts for SDGs 6, 14, and 15. The relation between SDGs and citizen science impact on them, shown by the previous study, is generally supported by the response rates in this study. For example, SDG 3 has a very low positive response rate, whilst SDGs 6, 14, and 15 all have a 100% response rate. The main exception between the two studies is SDG 4, “Quality education”, which had a high positive response rate in this study. This difference could be because, in the previous study, participants were asked about their ability to quantify their impact on the topic, whereas in this study, project coordinators could answer “yes/no” questions, which are likely to be easier to answer.
Whilst the topics of some SDGs might be thematically relevant to citizen science projects, comments from the workshop and interviews indicated that the SDG framework as a whole might not be as relevant to citizen science projects. This is especially the case for projects whose local geographic scale or short timeframe do not match the broad scale of the SDGs. One of the themes which arose from the thematic analysis was “Difficulty with SDGs”, which had 32 corresponding comments. Out of these 32 comments, 19 were made during the wrap-up discussions at the end of questionnaires rather than in direct response to a question. The remaining 13 comments were relatively evenly spread among the SDGs, with most SDGs only receiving 1 comment on this theme. This distribution could suggest that, whilst project coordinators are generally happy with the topics covered in the SDGs, they have more difficulty with the SDG framework as a whole. For example, one participant commented: “I’m not linking my project directly to the SDGs. Not for any particular reason, but I hadn’t thought of it. For a project which isn’t directly linked to the SDGs, it might not feel like a natural way to assess the project. They might have to do quite a bit of research to understand the questions”. Other common comments were that the SDGs are at “the very high level” and do not “make sense in the context of citizen science”. Another potential limitation of the SDGs is their timeframe. One participant explained: “All this discussion about the SDGs, they were established in 2015, so depending on the period of the project you’re evaluating, they might not be relevant to the project. Our participants were in training between 2013 and 2016”. The difference in timeframe is a critical downside of integrating the SDGs within an impact assessment framework for citizen science. Even if the topics covered by the SDGs are relevant to some projects, as a policy framework, they might not be relevant at the scale or timeframe of an individual project. The MICS questions, therefore, confine specific references to the SDGs to the 6 questions outlined in Figure 1, and avoid explicitly mentioning the SDGs for the other 45 questions, even if they are based on the SDGs.
4.2. Monitoring Progress vs. Contribution towards Achieving SDGs
Citizen science can have two different impacts on the SDGs: monitoring progress towards achieving the SDGs (Figure 1) and contribution towards achieving the SDGs (Table 4). Currently, the number of citizen science projects which support the monitoring of SDG indicators is limited. Still, citizen science has been identified as an important potential source of data for SDG monitoring [8]. To capture this impact, the questions in Figure 1 include explicit references to the SDGs and exactly replicate the wording of the goals and indicators. However, whilst a project needs to be aware of the SDGs to contribute to their official reporting, it is possible to contribute to their achievement without knowing what they are. Avoiding mentioning the SDGs in some of the questions (Table 4) therefore means that people who are not aware of the SDGs are not put off from answering the question, and any impact they are having on the achievement of the SDGs is captured. A general need in impact assessment is to capture unexpected or unintended impacts, which, in the case of this study, is only possible if project coordinators answer all the relevant questions, and are not put off from answering a question because it uses unfamiliar terminology, for example, referencing the SDGs.
Moving beyond the language used in the SDGs also allows the wording of the questions to be adapted to suit a wider range of projects. The very specific wording of the SDGs might make them seem irrelevant to projects, even when the project has an impact in that area. Examples which arose in this study include the inclusion of sustainable agriculture in SDG 2 “Zero hunger” and air quality in SDG 11 “Sustainable cities and communities”. In response to a question on SDG 11, one participant commented: “[the project] is not urban air quality in this sense, it’s air quality but also around non-urban areas”. In recognition of these cases, the questions deviate from the original wording of the SDG to make the question easier for respondents to understand, even if they are not familiar with the SDGs. Departing from strict replication of the language used in the SDGs also allows for inclusion of particular topics, such as mental health. Mental health and well-being are only mentioned as a small component of target 3.4 of SDG 3, “Good health and well-being”, and the one corresponding indicator, 3.4.2, addresses suicide mortality rate, which, whilst important, does not reflect the broad range of mental health issues people face in the Global North [26]. Given the potential for citizen science to positively impact participants’ mental health and well-being [27], the topic is given a prominence in the questions that deviates from the SDG wording. Adapting the language of the SDGs for the questions in Table 4 helps to ensure that all contributions to these topics are captured, even if the project coordinator is not aware of the SDGs or the details of their targets and indicators. Equally, maintaining explicit references to the SDGs in a subset of questions (Figure 1) means the direct contributions to the monitoring of SDGs are still recorded and that the MICS platform will introduce the SDGs to project coordinators who might not have considered them before.
4.3. Relevance of the Questions to the SDGs and Limitations of the Approach
The MICS questions give a good indication of which SDGs a project might have an impact on. However, there are several limitations to the extent to which the questions can be used to assess citizen science’s impacts on the SDGs.
Firstly, while there are questions which relate to every goal and a question which asks about the monitoring of every indicator, with regard to a project’s contribution to the achievement of the SDGs, the questions only cover a small proportion of the targets (30%) and indicators (3%). Of particular note is SDG 9, “Industry, innovation and infrastructure”, which currently has no related questions to its targets and indicators. The selection of questions, including most of the questions related to the SDGs, was based on a literature review of current citizen science impact assessment methods [18]. Some additional questions were added based on the SDGs which were chosen to match the authors’ knowledge of existing citizen science projects and the topics which they cover. Whilst it is still possible that projects are related to a target or an indicator not covered in the questions, it is likely that the questions will be sufficient for the majority of existing citizen science projects. Nevertheless, because they do not cover all the targets and indicators, the questions cannot be considered a truly comprehensive assessment of impact towards the SDGs.
Furthermore, there is uncertainty as to how well the questions capture a project’s impact. Two of the themes which arose from the thematic analysis were related to uncertainty: one for the uncertainty of how to interpret the question and one for the uncertainty of which answer to select. In total, there were 88 comments made by participants in these themes across 43 questions (with a total of 500 possible responses). This number of comments shows that, on average, 18% of responses to the questions involved some level of uncertainty that the question had been interpreted and answered correctly. Over the course of the study (including two rounds of edits to the questions; one after the workshop and one after the first round of interviews), there was no significant change in the proportion of comments relating to uncertainty, implying that the initial refinement of the questions did not help to improve the certainty of project coordinators in their responses. One potential reason for this could be because the questions were only tested with a limited number of project coordinators, which might not have been enough to perfectly refine the wording of the questions and answers.
The testing process revealed that even small changes to the wording of the questions can significantly alter their interpretation. For example, one of the themes which arose from the thematic analysis relates to the seven questions which contain the word “explicitly”. The comments made by interviewees suggest that, whilst the project coordinators might have answered positively to the questions thinking of a tenuous impact, having seen the word explicitly, they answered that they had not had that impact. Even if, in this case, the wording helped to reduce the ambiguity of the question, a level of subjective interpretation is inevitable within the questions. When the questions are implemented within the MICS platform, they will therefore be displayed alongside help and information text which will be written to aid the interpretation of the question. For example, key terms in the question will be defined and examples will be given of project activities which would fulfil the requirements of the question. The language of the questions and answers was further refined after the second round of interviews, to be tested alongside the help and information text in the MICS platform.
The MICS questions are designed so that they can be used to assess a project at any stage, i.e., to predict the impact of a project which has not yet started, to measure the current impact of a project, and to summarise the impact of a project which has finished. Therefore, whilst efforts are being made to reduce the ambiguity in the wording of the questions, the questions must be sufficiently open to interpretation, such that they can be used at these different project stages. In the interest of usability, the final decision of how to interpret questions will be left to the user. However, to help aid this decision, when the questions are implemented in the MICS platform, specific guidance will be given as to how the questions should be answered at each project stage, so that there is increased consistency as to how the questions are answered both between projects and within the same project (for example, not answering about future impact for some questions and current impact for other questions). Given this limitation, it is important that the interpretation of any impact assessment based on these questions matches the interpretation of the questions, so that a project coordinator’s answers to a question can be understood in the correct context.
Finally, because the wording of the SDGs has been adapted and altered to make the questions more accessible, some questions no longer exactly match the original target or indicator. As discussed in Section 3.4, this means that a positive response to some of the questions does not guarantee the project is having a positive impact on the corresponding SDG. Given these limitations, any claims made about the impact of projects on the SDGs based on the questions of this study should follow the principles of impact integrity, as defined in the SDG impact standards: not overstating positive impacts, placing impacts in the appropriate context, and being transparent about gaps and limitations in understanding about impacts [28].
5. Conclusions
This paper presents a practical approach to assessing the impact of citizen science towards the Sustainable Development Goals. This approach reflects two distinct pathways to impact for citizen science: monitoring progress towards achieving the SDGs, and contribution towards the direct achievement of the SDGs. Building on existing impact assessment frameworks for citizen science (for example, Kieslinger et al. [29]), this paper shares an exhaustive set of indicators, in the form of 51 questions and—for the first time—the corresponding answers, to assess the impact of citizen science towards the SDGs. This set of indicators is part of a more extensive framework, comprising of over 200 questions to measure the impact of citizen science across five domains: society, the economy, governance, the environment, and science and technology. These questions will be incorporated into an interactive interface within the MICS platform alongside additional guidance and recommendations for citizen science impact assessment. Given the potential limitations of the approach identified in this paper, the questions will continue to be tested with a larger number of project coordinators from a diverse range of projects as part of the development of the MICS platform. This will help to ensure that the questions cover all relevant SDG targets and indicators, the wording of the questions and answers is clear and easy to understand, and that users’ interpretation of the questions is in line with the intended meaning of the questions.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/su14084676/s1, Document S1: input feature questionnaires, Document S2: interview questionnaire order, Document S3: workshop and interview structure.
Author Contributions
Conceptualization, S.P., S.M.W., J.S. and L.C.; methodology, S.P., S.M.W., J.S. and L.C.; formal analysis, S.P.; investigation, S.P., S.M.W. and L.C.; resources, S.P., S.M.W., J.S. and L.C.; data curation, S.P. and S.M.W.; writing—original draft preparation, S.P.; writing—review and editing, S.P., S.M.W., J.S. and L.C.; visualization, S.P.; supervision, L.C.; project administration, L.C.; funding acquisition, L.C. All authors have read and agreed to the published version of the manuscript.
Funding
The research described in this paper was funded by the European Commission via the MICS project, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 824711. The opinions expressed in it are those of the authors and are not necessarily those of the MICS partners or the European Commission.
Institutional Review Board Statement
This study was approved by the Earthwatch ethics board (application code: MICS003).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data presented in this study are available on request from the corresponding author. The data are not publicly available due to limitations in accordance with consent provided by participants.
Acknowledgments
This work was conducted as part of the MICS Horizon 2020 project, and as such we thank all of the consortium partners for their support. We also thank the citizen science coordinators who agreed to act as participants for this study, both for their time and commitment.
Conflicts of Interest
The authors declare no conflict of interest, and the funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
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