Filter by author: Graham Walker

Concepts underpinning participatory science communication have much to offer science communication training and capacity building. This paper investigates a capacity building program with 15 science communicators from nine African countries involved in a six-week program in Australia. Data was collected via surveys, observations, informal interactions and ongoing relationships tracking program outcomes. Key features with a participatory nature included: holistic programs giving participants diverse skills and entry points; ensuring participant's freedom, agency, autonomy and self-efficacy; real-world networking as a self-directed participatory process; participant-led design processes to build skills for creating programs; and, embedding training in real-world contexts with deliberately selected publics.

Communities are rarely seen as the ideal level at which to focus science communication efforts, compared to the individual, psychological or mass, societal levels. Yet evidence from allied fields suggests building interpersonal relationships with specific communities over time is key to meaningful engagement, so orienting science communication towards communities is warranted. In this paper, we argue this case. We review previous studies, identifying three existing models of community-oriented science communication, which we label ‘neighbourly’, ‘problem-solving’ and ‘brokering’. We illustrate the effectiveness of the ‘problem-solving’ approach and the desirable ideal of ‘brokering’ using recent examples of community-oriented science communication from Australia.

Science communication is proliferating in the developing world, however, with respect to science centres, as a whole Africa is being left behind. Here 15 participants in a capacity building program are investigated using traditional needs-based and contemporary asset-based development conceptualisations. These development theories parallel deficit and participatory approaches, respectively, within science communication and demonstrate synergies between the fields. Data showed staffing, funding, governments, host institutions, and audiences are prominent needs and assets, networks are a major asset, and identified other influential factors. Analysis suggests a coordinated model involving individuals, host institutions and governments to facilitate growth of African science centres.