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  <front>
    <journal-meta><journal-id journal-id-type="publisher">GC</journal-id><journal-title-group>
    <journal-title>Geoscience Communication</journal-title>
    <abbrev-journal-title abbrev-type="publisher">GC</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Geosci. Commun.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2569-7110</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/gc-6-15-2023</article-id><title-group><article-title>Geoscientists' views about science communication: <?xmltex \hack{\break}?>predicting willingness to
communicate geoscience
</article-title><alt-title>Geoscientists' views about science communication</alt-title>
      </title-group><?xmltex \runningtitle{Geoscientists' views about science communication}?><?xmltex \runningauthor{J. Rodrigues et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Rodrigues</surname><given-names>Joana</given-names></name>
          <email>joana225@gmail.com</email>
        <ext-link>https://orcid.org/0000-0002-9131-0041</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Castro</surname><given-names>Cecília</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Costa e Silva</surname><given-names>Elsa</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7215-6384</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Pereira</surname><given-names>Diamantino Insua</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Institute of Earth Sciences, Pole of the University of Minho, Braga, 4710-057, Portugal</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Centre of Mathematics, University of Minho, Braga, 4710-057, Portugal</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Communication and Society Research Centre, University of Minho,
Braga, 4710-057, Portugal</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Joana Rodrigues (joana225@gmail.com)</corresp></author-notes><pub-date><day>2</day><month>March</month><year>2023</year></pub-date>
      
      <volume>6</volume>
      <issue>1</issue>
      <fpage>15</fpage><lpage>25</lpage>
      <history>
        <date date-type="received"><day>26</day><month>October</month><year>2022</year></date>
           <date date-type="rev-request"><day>9</day><month>November</month><year>2022</year></date>
           <date date-type="rev-recd"><day>7</day><month>February</month><year>2023</year></date>
           <date date-type="accepted"><day>13</day><month>February</month><year>2023</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2023 Joana Rodrigues et al.</copyright-statement>
        <copyright-year>2023</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://gc.copernicus.org/articles/6/15/2023/gc-6-15-2023.html">This article is available from https://gc.copernicus.org/articles/6/15/2023/gc-6-15-2023.html</self-uri><self-uri xlink:href="https://gc.copernicus.org/articles/6/15/2023/gc-6-15-2023.pdf">The full text article is available as a PDF file from https://gc.copernicus.org/articles/6/15/2023/gc-6-15-2023.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e125">The main barriers to science communication are common in different fields and they are widely identified in the literature. Studies focused on specific scientific communities framed science communication as an activity with the specificities of each context and field. In this study, we analysed geoscientists' representations and attitudes about communication to understand which factors can have significant impact on the prediction of
public engagement and that can explain the frequency/intensity of communication. The results pointed out that factors such as professional experience, recognition by the institution, lack of financial support, personal satisfaction and geoscientific area of expertise, have a significant effect on their public engagement.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e137">Most scientists consider it somewhat important to communicate science (e.g. Royal Society, 2006; Nielsen et al., 2007; Peters, 2013). However, it is not clear whether this fact translates into effective communication (Jensen, 2011) since activities are mainly carried out as a “goodwill exercise” (Neresini and Bucchi, 2011).</p>
      <p id="d1e140">According to Burns et al. (2003, p. 191), science communication can be defined as the use of appropriate skills, media, activities and dialogue to produce personal responses to science, such as awareness; enjoyment or other
affective responses; interest, evidenced by voluntary engagement; opinions,
forming, reforming and confirming science-related attitudes and
understanding of contents, processes and social factors. It is considered an
umbrella concept that includes several related terms such as
“dissemination”, “outreach”, “scientific literacy”, “popularisation”,
“informal education”, “public understanding of science”, “public awareness of science” or “public engagement”. These concepts may have related goals but in fact, they are not synonymous and each one reflects a specific context. This is the case of “public engagement”, a term that refers to the current understanding of the relationship between citizens and science – a relationship that should be a dialogical and participative process (Bucchi and Trench, 2016), but that it is still not always the case. The type and nature of public engagement varies within specific communities and disciplines (Jensen and Croissant, 2007; Jensen, 2011; Kreimer et al., 2011; Johnson et al., 2014). Topics with greater popular visibility, public
interest or increased “social demand” such as medicine and health or
climate bring more attention to some areas than to others and give
scientists different opportunities to engage with the public (Dunwoody et
al., 2009; Jensen, 2011; Ivanova et al., 2013). For example, scientists who
acknowledge the impact of their work tend to communicate more, such as
nanoscientists, demonstrating a greater sense of social responsibility (Dudo
et al., 2014). Also, scientists who perceive the controversy of their
research, as climate scientists (Entradas et al., 2019), or who understand
the importance of communication for the well-being of society (Besley et
al., 2013), feel a bigger responsibility to communicate. On the other hand,
some scientists may feel that their disciplines have less of a political nature and, therefore, see less value in public engagement, thus discouraging
communication (Besley et al., 2013).</p>
      <p id="d1e143">Generally, science communication intensity is higher in the areas of social sciences and humanities (Kyvik, 2005;<?pagebreak page16?> Jensen and Croissant, 2007; Torres-Albero et al., 2011; Jensen, 2011; Kreimer et al., 2011; Marchinkowski et al., 2014; Entradas and Bauer, 2017), despite the fact that natural sciences mobilises more practitioners in public events (Entradas and Bauer, 2017). Social sciences and the humanities engage more frequently with civic audiences and stakeholders, while natural sciences more often tend to address educational audiences (Entradas and Bauer, 2017). It is possible that natural science and technology scientists may engage less because lay public seem more interested in social, cultural or health topics (Bentley and Kyvik, 2011).</p>
      <p id="d1e146">Natural science and technology scientists experience more difficulties in making their research understandable when they communicate it (Bentley and Kyvik, 2011; Kyvik, 2005). Highly complex codes of the disciplines and difficulties of translation for non-experts are pointed out as barriers to communication (Bentley and Kyvik, 2011; Johnson et al., 2014). However, the behaviours and motivations also differ: for example, astronomers participate regularly in engagement activities which may be explained by astronomers' long tradition of outreach (Entradas and Bauer, 2019).</p>
      <p id="d1e150">While previous studies showed that the majority of the scientific community,
in general, was not involved in science communication (Jensen and Croissant,
2007), recent research presents evidence of higher levels of public
engagement (e.g. Rose et al., 2020). Also, specific communities such as
climate scientists and astronomers usually have contact with lay
audiences and are active communicators (Ivanova et al., 2013; Entradas et
al., 2019; Entradas and Bauer, 2019). Jensen and Croissant (2007) followed
the same community for several years and demonstrated that there is indeed
an increasing trend in the number of activities. This trend may be mainly
explained by external demands, related to the social impact of the topics
(Jensen, 2011; Ivanova et al., 2013). For example, scientists in Spain do
not see the need to communicate because there is a little demand for it
(Torres-Albero et al., 2011).</p>
      <p id="d1e153">Literature reveals a wide range of studies focused on specific scientific
communities like geneticists (Mathews et al., 2005), nanoscientists (Corley
et al., 2011; Dudo et al., 2014), astronomers (Entradas and Bauer, 2019;
Anjos et al., 2021), biologists and physicists (Ecklund et al., 2012,
Johnson et al., 2013), climate scientists (Entradas et al., 2019) or marine
scientists (Pinto et al., 2018). The very first approach to study the
geoscientists' community attitudes and practices was made by Liverman and
Jaramillo (2011), under the scope of the working group for Communicating Environmental Geosciences of the Commission for “Geoscience for
Environmental Management” (GEM) of the International Union of Geological Sciences (IUGS). That international study analysed environmental geoscientists' attitudes and experiences related to communicating science. The results of that study date back more than 10 years and comprise descriptive statistics without advancing explanations about the reasons for these behaviours.</p>
      <p id="d1e156">Geoscience communication is an emergent area that still needs a better
formalisation regarding its interdisciplinary approach and its specific
challenges. It can be summarised as a practice which seeks to communicate
aspects of geoscience with a wider audience, with the aim of increasing
attention, involvement and public discussion of geoscientific results,
aspects of outreach, public engagement, participation or knowledge exchange
(Illingworth et al.,  2018). The main objective of this study is to map and better understand the communication attitudes of the Portuguese geoscience community in order to address their specific needs, providing clues for institutions and
policy makers to improve communication. Our specific goals are as follows: (1) to analyse geoscientists' representations and attitudes about science communication, (2) to recognise the motivations and obstacles towards science
communication, (3) to understand which indicators explain geoscientists'
participation in public engagement, (4) to identify the factors that lead
to higher participation in those activities and (5) to understand if the
scientific nature/context of geosciences influences scientists' attitudes
towards communication.</p>
      <p id="d1e159">This study intends to not only assess the Portuguese geoscience community
but also bring wide inputs for the international community. These findings
will contribute to the development of a conceptual framework for geoscience
communication research, identifying the main challenges and opportunities.</p>
      <p id="d1e162">The following research questions will be addressed:<def-list>
          <def-item><term>(RS 1)</term><def>

      <p id="d1e171">What explains geoscientists' public engagement?</p>
          </def></def-item>
          <def-item><term>(RS 2)</term><def>

      <p id="d1e180">What explains the intensity of this public engagement?</p>
          </def></def-item>
        </def-list></p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Background</title>
      <p id="d1e193">Previous studies on scientific communities identified several predictors of
public engagement (e.g. Poliakoff and Webb, 2007; Dunwoody et al., 2009;
Besley et al., 2013; Jensen 2011; Johnson et al., 2014) relating to
sociodemographic, context and personal factors.</p>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Sociodemographic factors</title>
      <p id="d1e203">Literature shows that sociodemographic variables influence science
communication performance but sometimes with inconsistent results. Some
studies showed, for example, that women are more active (Andrews et al.,
2005; Jensen, 2011; Ecklund et al., 2012; Johnson et al., 2014) and give
more importance to communication activities. Other studies demonstrated that
men are more active (Crettaz von Roten, 2011) and they are more willing to
communicate. More recent research concluded that gender is not a factor
(Entradas and Bauer, 2019). Also, age can affect participation in public
engagement (Jensen, 2011), but together with gender and<?pagebreak page17?> subfield, these
factors seem to be considered minor predictors (Besley et al., 2013).</p>
      <p id="d1e206">Formal training in science communication is considered a predictor (Dunwoody
et al., 2009) and those who attend training are more critical of their own
performance (Clarkson et al., 2018). However, most scientists have no training (Royal Society, 2006; Entradas and Bauer, 2019; Ridgway et al., 2020) and geoscientists are no exception (Liverman, 2009; Liverman and Jaramillo, 2011).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Context</title>
<sec id="Ch1.S2.SS2.SSS1">
  <label>2.2.1</label><title>Area of expertise</title>
      <p id="d1e224">The contextual culture of each discipline influences the communication and
type of activities (Johnson et al., 2014), as well as researchers' opinion
about their field and its impact on society. As we discussed earlier, the
differences between communication practices of social and natural sciences
and even between biology and physics have been studied. But when studying a
community of geoscientists, it also seems pertinent to try and understand if
there are patterns or relationships between the subdisciplines of geosciences. The communication of geological hazards, an area with a large component of uncertainty and risk, and the geological resources, with a huge impact on society and local communities, or tectonics, a field whose content and practical applicability are far removed from the lay audiences, probably
differ from each other.</p>
      <p id="d1e227">For example, the abstract and non-human timescales of geoscience (see
Bowring, 2014) make public understanding difficult. On the other hand,
environmental topics tend to be discussed in a “battlefield” mode,
discouraging many scientists from engaging with the media (Boykoff, 2008).
Furthermore, many geoscience subjects are presented by the media mainly because of their disaster side; journalists rarely approach positive aspects of research or direct implications on people's lives (Liverman and Jamarillo,
2011). Lack of strategic communication on topics with impacts on human
health, for example regarding mining wastes, produced negative effects on
local populations (Di Giulio et al., 2008). Not only the social impacts but
also the political, cultural and economic orientations and the
politicisation of some subjects affect the will and way of communicating.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <label>2.2.2</label><title>Public perception of their area of expertise</title>
      <p id="d1e238">In general, scientists agree they have the moral duty to communicate, not
only the results of their research but also social and ethical implications
(Wellcome Trust, 2000; Royal Society, 2006). According to Liverman and
Jaramillo (2011), environmental geoscientists tend to consider that their
work is not too complex or uninteresting for lay audiences. They also
recognise the implications of their work for society and decision-makers and
their moral duty to communicate. The subdiscipline is also related to the
scientist's sense of responsibility to communicate and with the perceived
public interest and complexity of their area.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS3">
  <label>2.2.3</label><title>Professional experience</title>
      <p id="d1e249">The professional experience and career position may have positive effects
(Jensen and Croissant, 2007; Jensen et al., 2008; Jensen, 2011), even if
science communication activities are not officially recognised for career
progression. Among academic communities, senior researchers tend to be more
active (Royal Society, 2006; Jensen, 2011; Kreimer et al., 2011; TorresAlberto, 2011; Entradas and Bauer, 2019; Entradas et al., 2019). Moreover, the most academically productive researchers who have higher publication rankings engage more with public (Dunwoody and Ryan, 1985; Jensen et al., 2008; Peters et al., 2008; Jensen, 2011; Bentley and Kyvik, 2011; Ivanova et al., 2013). These scientists tend to have more public visibility outside the academic community (Jensen, 2011) and their status is positively correlated with the frequency of media engagement (Dunwoody et al., 2009).</p>
</sec>
<sec id="Ch1.S2.SS2.SSS4">
  <label>2.2.4</label><title>Institutional attitude</title>
      <p id="d1e260">The context and attitudes of the institution influence the intensity of
communication (Dunwoody and Ryan, 1985; Marchinkowski et al., 2014).
Scientific institutions seem to be more and more committed to public
communication and performance indicators might prove their support, even so,
it is not considered an essential element (Neresini and Bucchi, 2011).
Scientific careers and academic systems are still focused on research
productivity, and the lack of encouragement and support from the institution may be a demotivating factor for public engagement (Andrews et al., 2005; Ecklund et al., 2012; Shanley and Lopez, 2009; Rose et al., 2020). More recognition, rewards and encouragement from department heads would foster scientific communication activities (Royal Society, 2006).</p>
</sec>
<sec id="Ch1.S2.SS2.SSS5">
  <label>2.2.5</label><title>Barriers</title>
      <p id="d1e272">Several barriers to public engagement have been pointed out by different
scientific communities. Quite common are the lack of time (Pearson et al.,
1997; Wellcome Trust, 2000; Andrews et al., 2005; Mathews et al., 2005;
Royal Society, 2006; Nielsen et al., 2007; Poliakoff and Webb, 2007; Shanley
and Lopez, 2009; Pinto et al., 2018; Ridgway et al., 2020), lack of
financial support (Poliakoff and Webb, 2007; Shanley and Lopez, 2009;, Pinto
et al., 2018) or the lack of skills and training to communicate (Mathews et
al., 2005; Shanley and Lopez, 2009), as discussed before.</p>
      <p id="d1e275">The audience is also often identified as a barrier. Scientists see the
public as a homogeneous group, irrational and misguided (Royal Society,
2006; Cook et al., 2004; Davies, 2008), and their seeming lack of knowledge
and interest<?pagebreak page18?> discourages engagement (Wellcome Trust, 2000; Blok et al., 2008; Besley and Tanner, 2011; Ecklund et al., 2012; Pinto et al., 2018; Anjos et al., 2021), which is even more common in highly codified disciplines (such as mathematics or chemistry) (Bentley and Kyvik, 2011).</p>
      <p id="d1e278">In some cases, scientists feel that public engagement can cause negative
opinion among their peers and have a negative impact on their career for making science too accessible and causing perceived reputational damages (Mathews et al., 2005; Royal Society, 2006; Jensen et al., 2008; Ecklund et al., 2012;  Johnson et al., 2014).</p>
      <p id="d1e281">The perception that scientists' visibility and frequency of media
interaction might be inverse to their scientific ability and research is
known as the “Sagan Effect”, named after the astronomer and communicator Carl Sagan (Russo, 2010; Martinez-Conde, 2016). More recent studies show that
peer critic opinions do not matter (Entradas and Bauer, 2018; Ridgway et al., 2020).</p>
      <p id="d1e285">The relationship with the media has always been controversial (e.g. Dunwoody
and Ryan, 1985; Hartz and Chappell, 1998; Nielsen et al., 2007; Corley et al., 2011; Anjos et al., 2021), even if the paradigm seems to be progressively changing (Peter et al., 2008; Dunwoody et al., 2009; Ivanova et al., 2013). Scientists report critical opinion but positive experiences with journalists (Peters et al., 2008; Besley and Tanner, 2011), however they underline misrepresentation of scientific content by journalists as an obstacle to communication (Blok et al., 2008; Young and Matthews, 2007; Hartz and Chappell, 1997; Mathews et al., 2005; Davies, 2008).</p>
</sec>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Personal factors</title>
<sec id="Ch1.S2.SS3.SSS1">
  <label>2.3.1</label><title>Self-perceived competence (self-efficacy)</title>
      <p id="d1e304">Scientists' perception of their own skills and ability to communicate tends
to have a positive impact on the intention to communicate and on their
performance (Wellcome Trust, 2000; Gascoigne and Metcalfe, 1997; Poliakoff
and Webb, 2007; Dunwoody et al., 2009; Ecklund et al., 2012). In general,
scientists feel prepared to communicate (Wellcome Trust, 2000; Royal Society,
2006), some even feel overconfident (Rose et al., 2020). However, they feel
less confident when it regards social and ethical implications (Royal
Society, 2006).</p>
      <p id="d1e307">The lack of communication skills and training can be considered a barrier to
participate (Dunwoody and Ryan, 1985; Mathews et al., 2005; Poliakoff and
Webb, 2007; Pinto et al., 2018) or not (Ridgway et al., 2020).</p>
</sec>
<sec id="Ch1.S2.SS3.SSS2">
  <label>2.3.2</label><title>Personal satisfaction</title>
      <p id="d1e318">Perception of personal performance may also provide an indication about the
attitude towards communication. Generally, scientists would like to spend
more time with public engagement (Royal Society, 2006; Nielsen et al., 2007,
Bentley and Kyvik, 2011; Liverman and Jaramillo, 2011), probably because it
is not their main priority and they understand its benefits. Positive
experiences and personal satisfaction is positively related to the intention
to communicate (Andrews et al., 2005; Dunwoody et al., 2009; Entradas et
al., 2019).</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Data collection</title>
      <p id="d1e331">To answer the research questions – (RS 1) what explains geoscientists' public engagement and (RS 2) what explains the intensity of this public engagement – a quantitative methodology was selected, with an attitude-based
questionnaire, built for the purpose of this work considering the factors,
willingness and barriers to communication reviewed in the literature.</p>
      <p id="d1e334">The data were collected through an online survey applied by a self-administered questionnaire, through Google Forms, between June and July 2020, after a pilot test with 10 respondents.</p>
      <p id="d1e337">The questionnaire consists of 47 questions (subdivided into 161 indicators)
with an optional comment box. It is divided into three groups: (a)  demographic profile, (b) experiences and practices and (c) representations in
scientific communication. It included closed-ended questions (multiple-choice,
dichotomous, Likert scales, matrix and ranking) and open-ended questions
about geoscience topics and subjects. Since the survey applied is very
extensive, with too many questions and indicators, we will focus the
present study on the data collected about the perceptions, analysing
representations, beliefs, attitudes, preferences, motivations and
expectations, in a total of 30 indicators.</p>
      <p id="d1e340">An a priori factorisation and a selection of the factors was performed under
a strategic perspective drawn from the literature review and based on
previous questionnaires such as Hartz and Chappell (1997), Wellcome Trust
(2000), Royal Society (2006) and Liverman and Jaramillo (2011).</p>
      <p id="d1e344">The complete questionnaire is available in the  “Material A” in the Supplement. The results referring to the 30 indicators studied in the scope of this work are also available in “Material D” in the Supplement.</p>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Data set</title>
      <p id="d1e354">There are no official data on the number of geoscientists in Portugal, so a
broad distribution of questionnaires was made by e-mail and social media.
Scientific and professional associations and networks, research centres and
university departments in Portugal were contacted to cooperate in the
dissemination of the questionnaire among their members. It was also
advertised on social media, in scientific communication and geoscience pages
and groups. Despite the respondents being from different sociodemographic
groups, different professional categories and different fields of
geosciences, the inference must be cautious since there is no guarantee of
representativeness of the population under study. The data set consists of
geoscience professionals and postgraduate<?pagebreak page19?> students developing their work in
Portugal. A total of 179 valid responses was collected. As science
communication practitioners are not only researchers and the academic
community, the data set also includes other professionals. Among the surveyed
geoscientists, there were technical professionals (28 %), university
professors (20 %), school teachers (18 %), researchers (17 %),
postgraduate students (11 %) and even science communicators (4 %).</p>
      <p id="d1e357">Females made up 52 % of the surveyed geoscientists, 56 % were more than 41-years old, 40 % have a PhD and 42 % a Masters degree. Regarding their degree area, the majority studied geology (70 %), followed by biology and
geology, environmental sciences, environmental education (16 %), and
other areas such as geological engineering, mine engineering, biology,
geophysics, meteorology, oceanography, physics and geography, and aerospace engineering. The sample slightly overrepresented scientists with a geology
degree (70 %), with only 30 % representing geoscientists holding other degrees.</p>
      <p id="d1e360">Regarding geographic distribution, responses were collected in all regions
of Portugal, with a greater justifiable representation of areas with higher
population density and greater concentration of scientific institutions
(universities, research centres, science centres and geoparks).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Methodology</title>
      <p id="d1e371">Data were analysed using SPSS, version 25.0 (IBM Statistics) and R,
version 4.2.0. In addition to chi-square tests and Fisher's exact tests,
used to test the independence between categorical variables, the statistical
methodology consisted of the use of generalised linear models, with an
explanatory objective (McCullagh and Nelder, 1989), since the main interest
of this paper was to identify a set of features that can explain public
engagement and the intensity of communication in science. In this work, we
consider a result statistically significant if the <inline-formula><mml:math id="M1" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value associated with
the test statistic is <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> and statistically highly significant
if the <inline-formula><mml:math id="M3" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value is <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.001</mml:mn></mml:mrow></mml:math></inline-formula>. Chi-square tests are statistical tests
used to determine if there is a significant association between two
categorical variables. The test is based on the difference between the
expected frequencies and the observed frequencies in one or more categories.</p>
      <p id="d1e412">The technique of multinomial logistic regression was used to model
categorical response variables. This method is a type of regression analysis
used for predicting a nominal dependent variable with more than two
categories. It models the relationship between the independent variables and
the dependent variable by estimating the probabilities of the outcomes for
each category and choosing the one with the highest probability as the
prediction. The model uses logistic regression for each of the categories
and compares the results to determine the best fit. Through this model,
factors affecting the class of the categories can be determined
simultaneously. The multinomial response variable of intensity of public
engagement consists of three categories: very active, active and inactive.
An overview of the model is available as “Material B” in the Supplement.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results and discussion</title>
      <p id="d1e424">Descriptive analysis of the results summarise the characteristics of the
data set (“Material C” in the Supplement). Regarding geoscientific areas, all the experts in external geodynamics and palaeontology and geoconservation and geotourism reported public engagement activities. Only 5.6 % of the
experts in geological and energy resources did not report any activity.
Also, 25 % of the experts in history and education or environmental
geology and environment and engineering geology reported no activity.</p>
      <p id="d1e427">Concerning the institutional attitude, 14.5 % of respondents admit that
their institution does not value communication activities, compared to 40.8 % who consider that the institution gives some importance and 44.7 % who say it that gives high value. These results show that the majority of the
institutions have a perceived positive attitude towards communication that
encourages geoscientists to engage with the public.</p>
      <p id="d1e430">Concerning the perception about their geoscientific area, the majority
(60 %) does not think it is too complex for lay audiences and only 23 %
consider it to be too intricate. For 36 %, this is an obstacle to
communication. Most of them (79 %) consider their area to be interesting
for non-experts and 85 % admit that their work has implications for
society and/or policy makers. The vast majority (90 %) believes that
scientists have a moral duty to engage with the non-expert public about the
social and ethical implications of their work.</p>
      <p id="d1e433">Regarding the obstacles to scientific communication, lack of financial support (87 %) and lack of time (80 %) are considered the biggest barriers. The majority (85 %) does not think that these activities make science less rigorous, 64 % do not fear creating misunderstandings and generating controversy, but 75 % believe that journalists' misrepresentation of scientific content is a barrier. This factor may partly explain, together with the lack of opportunities, why the great majority of respondents reported none or rare contact with journalists or science journalists.</p>
      <p id="d1e437">As for the attitudes of the audience, respondents believe that the public's lack of interest (64 %) and lack of knowledge (61 %) may be a constraint, but 64 % do not see the complexity of their work area as an obstacle.</p>
      <p id="d1e440">Regarding specific skills to communicate, only 56 % agree that the lack of
preparation/training can be an obstacle and 37 % point out that
discomfort in communicating with lay audiences can be a barrier. For 43 %
of the geoscientists, the negative opinions of their peers seem to be somewhat constraining.</p>
      <p id="d1e443">Analysing the self-perceived competence, only 6 % of the surveyed
geoscientists admitted they do not have the<?pagebreak page20?> necessary skills to communicate
science. The vast majority feels prepared to communicate, with more than
half (52 %) being truly confident. Regarding more specific skills to
communicate about the social and ethical implications of science, 25 %
recognised that they do not feel prepared. At the same time, as seen above,
almost half (44 %) do not agree that the lack of preparation or training may be an obstacle for effective communication.</p>
      <p id="d1e446">Concerning the personal satisfaction, most of the respondents reported
positive experiences and only around one-quarter feel dissatisfied. Almost half of the geoscientists (47 %) think that the number of communication activities they do annually is good and 12 % think it is very good. However, an expressive amount of 40 % thinks the number is reduced. For the vast majority of respondents (86 %), it is gratifying to engage non-specialist audiences in science and 92 % reported that they find it somewhat important to find time to engage with non-expert audiences, demonstrating that geoscientists are aware of the importance of communication and they are interested in doing such activities.</p>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Factors associated with geoscientists' public engagement</title>
      <p id="d1e456">In a first moment, we studied the influence that each isolated factor has on
the response, regardless of any of the others. Results from chi-square tests
(Table 1) demonstrated the relevant contextual and personal factors influencing the geoscientists' public engagement. No positive association was found with sociodemographic factors such as age or gender.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e462">Results from chi-square tests</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="5cm"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="5cm"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Factors</oasis:entry>
         <oasis:entry colname="col2">Pearson statistics and <inline-formula><mml:math id="M5" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value</oasis:entry>
         <oasis:entry colname="col3">Conclusion</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Area of expertise</oasis:entry>
         <oasis:entry colname="col2">X2 <inline-formula><mml:math id="M6" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 19.048, df <inline-formula><mml:math id="M7" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 10, <inline-formula><mml:math id="M8" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M9" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.040</oasis:entry>
         <oasis:entry colname="col3">Experts in geological and energy resources tend to have more activity.</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Professional experience <?xmltex \hack{\hfill\break}?></oasis:entry>
         <oasis:entry colname="col2">X2 <inline-formula><mml:math id="M10" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 15.078, df <inline-formula><mml:math id="M11" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 6, <inline-formula><mml:math id="M12" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M13" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.020</oasis:entry>
         <oasis:entry colname="col3">Those with more than 20 years of experience tend to have more activity.</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Institution attitude</oasis:entry>
         <oasis:entry colname="col2">X2 <inline-formula><mml:math id="M14" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 26.135, df <inline-formula><mml:math id="M15" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4, <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.001</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">Those who perceive more recognition tend to have more activity.</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Perceived implications for society</oasis:entry>
         <oasis:entry colname="col2">X2 <inline-formula><mml:math id="M17" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 12.636, df <inline-formula><mml:math id="M18" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4, <inline-formula><mml:math id="M19" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M20" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.013</oasis:entry>
         <oasis:entry colname="col3">Those who agree that their work has implications for society tend to have more activity.</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Lack of financial support</oasis:entry>
         <oasis:entry colname="col2">X2 <inline-formula><mml:math id="M21" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 12.886, df <inline-formula><mml:math id="M22" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4, <inline-formula><mml:math id="M23" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M24" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.012</oasis:entry>
         <oasis:entry colname="col3">Those who agree that lack of financial support is an obstacle tend to have more activity.</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Perceived complexity of their geoscientific subject</oasis:entry>
         <oasis:entry colname="col2">X2 <inline-formula><mml:math id="M25" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 11.920, df <inline-formula><mml:math id="M26" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4, <inline-formula><mml:math id="M27" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M28" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.018</oasis:entry>
         <oasis:entry colname="col3">Those who do not agree that the complexity of their geoscientific subject is an obstacle tend to have more activity.</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Self-perceived competence</oasis:entry>
         <oasis:entry colname="col2">X2 <inline-formula><mml:math id="M29" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 30.450, df <inline-formula><mml:math id="M30" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4, <inline-formula><mml:math id="M31" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M32" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.001</oasis:entry>
         <oasis:entry colname="col3">Those who feel more confident in their skills tend to have more activity.</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Perception of the public engagement</oasis:entry>
         <oasis:entry colname="col2">X2 <inline-formula><mml:math id="M33" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 41.183, df <inline-formula><mml:math id="M34" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4, <inline-formula><mml:math id="M35" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M36" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.001</oasis:entry>
         <oasis:entry colname="col3">Those who think that they perform a reasonable number of activities tend to have more activity.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Personal satisfaction</oasis:entry>
         <oasis:entry colname="col2">X2 <inline-formula><mml:math id="M37" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 33.239, df <inline-formula><mml:math id="M38" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4, <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.001</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">Those who report positive experiences tend to have more activity.</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e857">Regarding RS 1 (What explains geoscientists' public engagement?), we
found that the factors, i.e. area of expertise, professional experience,
institutional attitude, perceptions about the implications for society, lack
of financial support, perceived complexity of their geoscientific subject,
the self-perceived competence, the perception of the public engagement and
personal satisfaction, each have a significant effect on the response.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Factors explaining the intensity of this public engagement </title>
      <p id="d1e868">To answer RS 2, we used the approach of the multinomial logistic analysis
model that allows the selection of predictors that, together, have a
significant effect on the dependent variable intensity of communication.</p>
      <p id="d1e871">Participants were asked how many science communication activities they had
carried out in the previous year. Since no prior detailed explanation of
“science communication activities” was given, each respondent reported the
activities that they assumed as such and which they consciously carry out as
science communication.</p>
      <p id="d1e874">The frequency/intensity variable was then organised into three categories:
“inactive” communicators, who reported not having carried out any activity
in the last year (11.5 %), “active” communicators, who performed between one and three activities (35.3 %) and “very active” communicators, who reported more than four activities in the last year (53.2 %). The reference class is “very active”.</p>
      <p id="d1e877">The multinomial logistic analysis began with the selection of important
predictor variables using several selection feature techniques, including
step-by-step forward and backward techniques based on the log likelihood of models. Among all possible predictors, the best model (in terms of goodness of fit, based on the model's log likelihood) includes the following predictors: area of expertise, professional experience, institutional attitude, lack of financial support and personal satisfaction.</p>
      <p id="d1e881">The goodness-of-fit indicator of Nagelkerke's <inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>  value is 0.597. The confusion matrix (Table 2) shows that the overall percentage of correct ratings is
72.4 %. Regarding the percentage of correct classifications, by category,
the highest (85.5 %) is obtained in the very active category and the
lowest in the inactive category (55.6 %). It is possible to conclude that
the model has a good predictive ability. The table of coefficients is available
in “Material B” of the Supplement.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e898">Confusion matrix.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Classification</oasis:entry>
         <oasis:entry namest="col2" nameend="col5" align="center"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" namest="col2" nameend="col5" align="center">Predicted </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Observed</oasis:entry>
         <oasis:entry colname="col2">None</oasis:entry>
         <oasis:entry colname="col3">1–3</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M41" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 4</oasis:entry>
         <oasis:entry colname="col5">Percent correct</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">none</oasis:entry>
         <oasis:entry colname="col2">10</oasis:entry>
         <oasis:entry colname="col3">4</oasis:entry>
         <oasis:entry colname="col4">4</oasis:entry>
         <oasis:entry colname="col5">55.6 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1–3</oasis:entry>
         <oasis:entry colname="col2">2</oasis:entry>
         <oasis:entry colname="col3">32</oasis:entry>
         <oasis:entry colname="col4">21</oasis:entry>
         <oasis:entry colname="col5">58.2 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M42" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 4</oasis:entry>
         <oasis:entry colname="col2">3</oasis:entry>
         <oasis:entry colname="col3">9</oasis:entry>
         <oasis:entry colname="col4">71</oasis:entry>
         <oasis:entry colname="col5">85.5 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Percent correct</oasis:entry>
         <oasis:entry colname="col2">9.6 %</oasis:entry>
         <oasis:entry colname="col3">28.8 %</oasis:entry>
         <oasis:entry colname="col4">61.5 %</oasis:entry>
         <oasis:entry colname="col5">72.4 %</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1042">When comparing inactive with very active (more than four activities), results
show that the probability of not engaging in any communication increases
significantly in individuals with 5 to 10 years of experience compared
to those with more than 20 years. The probability of engaging in public
activities increases significantly in those whose institution appreciates
their efforts. Therefore, if the institution values public engagement, the
probability that an individual will not engage in any communication decreases. For respondents with unsatisfactory experiences with public engagement, the probability of not engaging in any communication increases. For geoscientists from areas of expertise like geological and energy resources, the probability of engaging in activities increases.</p>
      <p id="d1e1045">Taking the category of very active as a reference, it is possible to conclude that the risk factors, i.e. increasing the probability of being inactive, are
individuals with 5–10 years of experience and with unsatisfactory
communication experiences. On the other hand, the probability of being
active (performing between one to three activities) increases for individuals whose institution moderately or highly appreciates their efforts. The
probability decreases for individuals with less than 5 years of experience
and for those who do not see lack of financial support as an obstacle</p>
      <p id="d1e1048">Therefore, it is possible to conclude that having more than 20 years of
experience, being part of an institution who recognises efforts in public
engagement and working in geological and energy resources areas foster the
increase in the number of communication activities per year, while previous
unsatisfactory communication experiences are a risk factor.</p>
      <p id="d1e1052">For the RS 2 (What explains geoscientists' public engagement?), we identified
the following factors: the intensity of geoscientists' public engagement may
be explained by the<?pagebreak page21?> area of expertise, professional experience, institutional
attitude, lack of financial support and personal satisfaction.</p>
      <p id="d1e1055">Geoscientists from areas of expertise like geological and energy resources,
external geodynamics and palaeontology, geoconservation and geotourism are
more likely to be active or very active in communication activities than
those from areas such as history and education or environmental geology and
environment and engineering geology. On the other hand, the lack of financial support and the few years of experience are factors that may induce low frequency of science communication activities.</p>
      <p id="d1e1058">Despite the fact that, nowadays, scientific institutions seem to be more
aware of the importance of public engagement, promoting and supporting
initiatives and involving scientists, funding and career progressions still
depend on research rankings. Many geoscientific institutions in Portugal
promote the participation of their professionals in events such as open
days, European Researchers Night, Living Science Summer and at the school. Also, the funding of research projects requires work packages on the
dissemination of results and outreach. However, all these endeavours are not
considered in formal performance evaluation. Besides encouragement and
financial resources, geoscientists could feel more committed to communicate
with the public with formal recognition, logistical support, dedicated time
and training.</p>
      <p id="d1e1061">On the other hand, we also concluded that less experienced professionals
tend to engage less with the public. These results can be explained with the
same argument of research rankings and lack of time, more crucial in early
carriers. Moreover, the lack of public communication experience may deter
geoscientists. Senior scientists with longer carriers, more recognised
experience and visibility may also receive more demands.</p>
      <p id="d1e1064">As proved for other communities, we concluded that geoscientists with
previous unsatisfactory experiences tend to communicate less. Lack of
training, lack of support, non-expected impacts or so many other reasons can
explain the dissatisfaction. This research focuses on scientists rather<?pagebreak page22?> than
audiences, so we can only make conclusions about the intensity of public engagement and not about quality or impact of communication. A solution to overcome this barrier would be to follow these professionals more closely, understand their difficulties and support them in overcoming them.</p>
      <p id="d1e1067">Regarding the area of expertise, despite dealing with complex and abstract
processes and timescales, scientists from areas such external geodynamics
and palaeontology tend to communicate more. Fossils (including dinosaurs)
and landscapes may be difficult to understand but can be more appealing for
non-expert audiences.</p>
      <p id="d1e1071">Geoconservation and geotourism experts work with geological heritage, an
appealing topic and usually have public communication included in their
duties. Some of them work in institutions like museums, science centres or
geoparks and tend to be more motivated. Geological and energy resources are
topics that currently receive high media visibility and social debates demanding geoscientists to engage more with public.</p>
      <p id="d1e1074">History and education experts seem to engage less, probably because these
areas are extremely applied.</p>
      <p id="d1e1077">Finally, geoscientists from areas such environmental geology and environment
and engineering geology tend to communicate less. This result could not have
been expected, as these areas include topics such as climate change, soil
and water contamination and topics with great social impact on people's health and life. On the other hand, these areas have great visibility in media and public debate, discussions are very polarised and politicised and very often geoscientist face uncomfortable experiences. These results show that communication attitudes also depend on the area of expertise. Interventions to foster public engagement among geoscientists should be targeted to different areas of expertise. Areas with more public visibility and polarisation could benefit from targeted training, addressing the specific challenges they face and working together with social and human scientists. Training for geoscience graduation students, designed to answer specific challenges such as risk and emergency response, proved to be very effective improving communication skills (Dohaney et al., 2015).</p>
      <p id="d1e1080">Regarding the limitations of this experimental design, the sample selected
may not be representative of the population being studied. Another
limitation is the issue of imbalanced samples, as the distribution of the
independent variable is not equal in each group of the experiment.</p>
      <p id="d1e1083">With regard to the method's limitations, the small sample size needs to be considered. The multinomial logistic regression model requires a relatively large sample size in order to achieve accurate and stable estimates, particularly when there are multiple categories and many independent variables. The limited prediction accuracy is another limitation, since the multinomial logistic regression model may not always provide accurate predictions, especially when the relationships between the variables are complex and non-linear. Multinomial logistic regression is designed for categorical dependent variables and it assumes that the categories are nominal and have no inherent order or ranking.</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d1e1096">The results of our study show that the majority of the surveyed
geoscientists have positive impressions regarding public engagement, being
motivated, feeling comfortable and prepared to communicate. The main
outcomes of the research confirm the patterns previously studied by scientists from other areas.</p>
      <p id="d1e1099">We concluded that public engagement may be explained by contextual factors such as area of expertise, professional experience, institutional attitude,
perceptions about the implications for society, lack of financial support
and perceived complexity of their geoscientific subject and personal factors such as the self-perceived competence, personal satisfaction and the perception of the public engagement.</p>
      <p id="d1e1102">Furthermore, we concluded that what really matters for the intensity of this
public engagement are the contextual factors, like the area of expertise,
personal experience, institutional attitude, lack of financial support, and
personal factors such as satisfaction. These should be the main factors to
be considered when designing policies to support and promote public
engagement, as they identify specific aspects that are more likely to foster results.</p>
      <p id="d1e1105">The findings discussed above can support the development of strategies and
recommendations that will contribute to overcoming the constraints and lead to more effective communication between scientists and society. Further
research on geoscientists' representations would allow us to understand the
relation between perceptions and their practices.</p>
      <p id="d1e1109">Regarding the limitations of this research, we recognise a possible sampling
bias. Firstly, it is a set of data that may not be representative of the
entire population since the respondents were self-selected. Although the
questionnaire was designed for both communicators and non-communicators, we
assume the possibility that scientists who are less aware of communication may have responded less, leading to an overrepresentation of those who communicate. Furthermore, in surveys like this in which people are asked to provide personal opinions and report personal practices, it is necessary to take into account that people may be led to answer according to socially desirable ideas. To try to reduce this bias and obtain more truthful answers, participants were informed that their identities were protected and the results would be appropriately anonymised. At the same time, online self-administered questionnaires, without the presence of other people, as it is the case, also contribute to reducing social desirability bias.</p>
      <p id="d1e1112">More robust results could be possible with a larger sample, for example
analysing an international community or following the community for an
extended period of time (e.g. Jensen and Croissant, 2007). Also,
complementary<?pagebreak page23?> interviews could bring additional qualitative data. Despite
these constrains, the sociodemographic heterogeneity of the data set, as
well as the comparison of our outcomes with previous studies, reinforces the
confidence in the results.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e1119">The survey and the statistical results are available in the Supplement.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e1122">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/gc-6-15-2023-supplement" xlink:title="pdf">https://doi.org/10.5194/gc-6-15-2023-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1131">JR, ES, DP planned the research; JR collected the data; CC and JR analysed
the data, JR prepared the manuscript draft, JR, CC, ES, DP contributed to
the writing, review, and editing.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1137">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="specialsection"><title>Ethical statement</title>
    

      <p id="d1e1145">The work performed in this study is original, reflects the authors' views and
it does not engage in any form of malicious harm to other persons. The
participation in the survey was voluntary and anonymous.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e1151">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1157">Authors would like to thank the referees for their careful reading and for
their constructive suggestions.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1162">This research has been supported by national funding awarded by FCT – Foundation for
Science and Technology, I.P., projects UIDB/04683/2020 and UIDP/04683/2020.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1168">This paper was edited by Shahzad Gani and reviewed by Rolf Hut and Ning Wang.</p>
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