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. 2021 Aug 25;8(8):202108. doi: 10.1098/rsos.202108

Table 1.

Different typologies of citizen science and citizen science-related activities.

Terminology used Orientation and focus Classifications within typology
Citizen Science Multi-dimensional focus on types of the activity Action-oriented, conservation, investigation, virtual and education [12]
Knowledge producer and activity/project goal and focus Matrix approach: Citizens or researchers as main knowledge producers, addressing a research question or intervention in a socio-ecological system [13] based on [12,14]
Nature of the participatory task Passive sensing, volunteer computing, volunteer thinking, environmental and ecological observations, participatory sensing and civic/community science [15,16]
Learning dimensions Learning of project mechanics, pattern recognition skills, on-topic extra learning, scientific literacy, off-topic knowledge and skills and personal development [17]
Complexity of the citizen science approach and participation structure Matrix approach: Elaborate approach vs. simple approach, and mass participation vs. systematic monitoring, and in addition computer-based projects [18]
Communication goals of a citizen science project Goals of communication messages from citizen science projects: Awareness, Conversion, Recruitment, Engagement, Retention [19])
Education aspects Increasing interest in science, using scientific tools, specific disciplinary content, scientific reasoning, to developing an identity in science and more [20]
Multi-dimensional focus on the nodes of engagement Behavioural activities, affective/feeling, learning/cognition and social/project connections [21]
Activity type and epistemic practice Sensing, computing, analyzing, self-reporting, making [22]
Public Participation in Scientific Research (PPSR) Relational aspects and role definitions, with implicit information on depth of involvement Consulting, contributory, collaborative, co-created, and collegial [14] which is an expansion of [11]
Citizen Engagement in Social Innovation Direction/goal of a project and scale (based on number of participants) Matrix typology: Investigating present states to developing future solutions; from few to many participants [23]
Citizen Science and Volunteered Geographic Information Engagement of participants in an activity Crowdsourcing, distributed intelligence, participatory science and extreme citizen science [24]
Citizen science and environmental management Relationship type and type of activity encounter Matrix approach: Cooperative vs. adversarial relationships and deliberate vs. serendipitous [25]
Citizen Science and Conservation Type of projects/ formats of citizen science Bioblitzes, ongoing monitoring programmes, bounded field research and inventory projects, data processing projects [26]
Citizen Observatories Multi-dimensional for a systematic review framework Geographic scope, type of participants, establishment mechanism, revenue stream, communication paradigm, effort required, support offered, data accessibility, availability and quality [27]
Citizen Science and Innovation Management Business model of the project and its funding Motivated individual; Small Crowdsourcing; Outreach; Research and Innovation (R&I); and Long Term NGO [28]
Citizen Science in Health and Biomedical Research Research focus and modes of participation Observational and Interventional research; matrix approach to participation models: Professional driven vs. Public driven and Independent participation vs. Collective participation, resulting in Traditional science, N-of-1/DIY science, N-of-many-1’s/contributory and N-of-we/co-created participation modes [29]
Community Based Monitoring Multi-dimensional on the aspects that can influence the establishment and functioning of a CBM Goals and objectives of the project, technologies, participation, power dynamics [30]
Policy and Citizen Science Policy outcomes and impact Policy outcomes—from addressing a local environmental nuisance, to monitoring national policy and the stages of the policy cycle: issue identification, measure identification, implementation, monitoring (effectiveness) [31]