Public Engagement with Biotechnology Inside and Outside the Classroom: Community-Focused Approaches

Jimenez, Jorge; Gamble-George, Joyonna; Danies, Giovanna; Hamm, Ronda L.; Porras, Ana Maria

doi:10.1089/genbio.2022.0024

Cited by 1 publication

(2 citation statements)

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“…In this context, understanding public perceptions of biotechnologybased technologies and openly addressing their concerns can aid in fostering trust and transparency in scientific innovation, promoting responsible innovation practices. Public engagement in discussions about the economic impacts of biotechnological innovations can foster a more inclusive and democratic approach to technology governance [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Perceptions of the Portuguese Population on the Economic Impacts of Biotechnology-Based Technologies

Vicente,

Neves,

Figueiredo

2024

Sustainability

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Biotechnology-based technologies have the potential to act as catalysts for economic development by fostering innovation, creating new job opportunities, stimulating industry growth, and promoting environmental sustainability. This study aims to evaluate the perceptions of the Portuguese population regarding the economic impacts of using these technologies in areas such as the environment, energy resources, agriculture, industry, and health. For this purpose, a questionnaire was developed and distributed in Portugal to a sample consisting of 559 individuals of both genders, aged between 16 and 82 years old. The findings suggest that, although there is a higher perception of the economic impact of these technologies, participants reveal difficulties in perceiving impacts on health, industry, and energy resources. Moreover, metrics for quantifying participants’ overall perception and improvement potential are provided. These metrics are particularly important as they enable the formation of participant groups with similar characteristics, facilitating the development of tailored intervention strategies. Additionally, a model based on artificial neural networks was presented to predict the perceptions of the Portuguese population regarding the economic impacts of using the mentioned technologies. The proposed model performs well, achieving accuracy rates of 93.0% for the training set and 90.9% for the test set.

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Section: Introductionmentioning

confidence: 99%

“…According to Jimenez et al [24], interactions between researchers and communities promote critical thinking, cater to community needs, offer broad-ranging responses, and foster mutual trust. The authors describe various types of initiatives that authorities and the scientific community can undertake with the aim of engaging the public.…”

Section: Introductionmentioning

confidence: 99%