Table 1 Computational social science approach and its reformulation when participatory and inclusive practices are enhanced.

From: Reformulating computational social science with citizen social science: the case of a community-based mental health care research

 

Computational social science general approach

Conceptual shift

Reformulation with participatory and inclusive practices

Key citizen social science aspects

Research framing

Stylised, abstract and decontextualised

Shared research question

Related to a specific shared social concern, contextualised

- Place vulnerable groups’ perspective at the centre of the research

- Partner with CSOs and working groups with diverse social actors (civil society partners)

- Agree on a shared narrative and research plan with civil society partners

Research design

By researchers, e.g., in behavioural economics or psychology

Co-creation and co-design processes

Jointly with non-professional scientists as competent experts in-the-field (co-researchers)

- Establish inclusive and horizontal research scenarios

- Implement ethical supervision and evaluation

- Involve experts-in-the-field (co-researchers) and populations in a vulnerable situation

- Validate research steps and prototype research devices with civil society partners

- Build an experience rather than an experiment

Experimental spaces

Secluded or virtual laboratories in fully controlled settings

Lab-in-the-field adaptive approach

Natural relational spaces (public spaces or community spaces)

- Implement the research in socialised environments

- Test the research in small-scale real settings

- Upscale the research in mass events or larger scale events

- Implement the research in different social contexts and locations

- Conceive the experimental spaces as places for self-reflection for participants

Data sources

Passive volunteer individuals, e.g., university students, Turkers or hospital patients

Conscious and active participation

Data consciously collected and directly collected from concerned citizens

- Collectively generate new data, able to respond civil society actors’ interests but also valuable for academic research

- Open the data and fully document meta-data to enhance reusability and replicability

Actionable knowledge

Long-term. Scientists generally delegate responsibility to other social actors (e.g., policy makers)

Mission-oriented collective research

Civil society actors share interest about the results, strengthening the possibility for short-term social change

- Create open and public materials accessible to general audience and concerned group

- Write public reports containing solid scientific-based arguments

- Disseminate the scientific results through press campaigns

- Initiate public discussions about the social issue

  1. The last column describes how this reformulation can be incorporated into the research practice considering citizen social science aspects and across different research steps.