Romain Julliard: “Citizen science helps to find more rapidly how to face global changes”
Starting with his own work in conservation biology, Romain Julliard built an expertise on data collection by citizens, that he help today others to implement You are a specialist in conservation biology. Why did you become interested in citizen science? Romain Julliard: For practical reasons, first. The study of changes in biodiversity as we face global changes needs to be carried out on huge time and space scales, for which we lack professional or technical observation facilities: experimental stations, or field observations that we could carry out with students, are not fit. Only networks of human volunteers can be deployed and maintained on these scales. They enable us to collect very rich data, as long as they are structured, planned and standardized. What’s more, these observers easily provide important information about their environment, their practices and their local knowledge. Starting in 2006, “Opération Papillons” (Operation Butterfly) was your first citizen science initiative for unskilled volunteers. What scientific questions did you want to answer? R. J.: The aim was to study how this group of pollinating insects cope with urbanization: which species are able to strive into the city? Why? Where? What are the characteristics of the city that make it possible or impossible for them to enter? Butterflies are representative of flying insects, and easy enough for non-specialists to identify. The network, which extends to several thousand gardens across France, in a wide variety of areas, in the city, in the suburbs and out-of-town, provides information on the organization of biodiversity at these scales, and also links observations to other information such as the landscape, the size and composition of the garden, and the practices of gardeners. Without those participants, it would be almost impossible to obtain this information. You began this type of work in the 2000s: was it innovative? R. J.: In the past, there were surveys by expert naturalists, communities and learned societies. For example, there was a long-standing tradition of collaboration between ornithologists’ associations and the Muséum National d’Histoire Naturelle (MNHN), which initially focused on mapping and species description: what is the distribution of species ecology independently of human? Gradually, we shifted our paradigm to monitoring, focusing on dynamics and human-induced changes. We have therefore also changed our methods. The completeness associated with mapping is very different in terms of statistics, from standardization and reproducibility of measurements, which are important for monitoring. To monitor biodiversity, scientists have changed both discipline and method. Then, in the mid-2000s, we introduced “general public” monitoring, which did not rely on the participants’ prior skills. Participants acquire new skills as they take part in the research, both in terms of butterfly identification and ecology: butterflies are caterpillars, there are migratory butterflies, seasonal butterflies, and so on. And these skills have consequences for species conservation, by transforming the way they keep their gardens. Have you studied this aspect? R. J.: One of the promises of participatory science is the transformative power it can have on individuals, and even on the collective of individuals who take part in research. A colleague carried out a survey of the members of our partners in biodiversity monitoring, large associations. Among the respondents, half were not involved in monitoring. He showed that these had a slightly higher average level of education than the one who were participating. On the other hand, among the latter, the average level of confidence in science was higher. But we don’t know whether the higher level of confidence was due to participation in the project or whether it was the cause. Can participatory science have a wider impact? R. J.: There is a social legitimacy effect for scientific results produced in this way. If we announce: “there has been a 30% decline in common bird populations, a network of thousands of observers working with the Museum has produced this data”, social acceptability is greater than if the result were obtained from the observations of a few research stations. Even if, scientifically, both results are equally valid. Did your scientific colleagues take this participatory approach for granted? R. J.: There was a lot of resistance. This type of research changes the position of power in relation to the objects studied: scientists are no longer the exclusive masters of research. There is a sharing of responsibility and power, as well as a dependence, between the network of data producers and the researchers. And there’s also a constraint, linked to the commitment the scientists make to the network members to valorize these data. There was considerable reluctance from some researchers who were not involved in participatory science, who saw it as a threat to their profession. Today, few researchers express this reluctance. However, we still meet strong opposition in the technical professions. For example, I am having trouble convincing members of agricultural technical institutes to carry out participatory research projects with large network of farmers to study the transitions underway. Many of those who work there prefer to keep a dominant position vis-à-vis those they advise. Yet it seems fairly obvious that, by conducting participatory research involving farmers, foresters, planners or architects, the knowledge produced will be shared directly with those most likely to apply it. So, the impact is greater? Especially in terms of speed of transmission. In the current model, scientists carry out research, they produce knowledge that will enlighten society, which is then responsible for using it to develop policies and so on. It’s a slow process, compared to the transition and transformation challenges we face today. This is one of the reasons why so much attention is being paid to citizen and participatory science. We think that this approach is well-suited to the challenge of rapidly finding solutions to these changes. What is behind the current slow pace? R. J.: There is a time lag: the problems we study in research are already out of date by the time they reach the stage of possible implementation. And there is a problem of relevance: researchers tend to study what interests them,