RRI2SCALE_D2.1_Delphi Survey_2021.10.15_v1
Description
This dataset contains the demographic information and the replies that field experts provided in a Delphi survey performed by the RRI2SCALE project to identify future developments in the domains of intelligent cities, intelligent transport, and intelligent energy.
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In an age of rapid changes in demographics, businesses, technology and lifestyles, policymakers operating at territorial (regional, local) level are challenged to design policies with a forward-looking perspective. Yet, the future is uncertain and most often unpredictable and hence, they strive to predict future developments and their economic and policy implications. Since the early 1960s, several technology-forecasting methods have been developed. RRI2SCALE performed a Delphi survey aiming to forecast future developments in the domains of intelligent cities, intelligent transport, and intelligent energy.
In particular, we first conducted a literature review to develop 38 survey statements that reflect on the probability of appearance of potential drivers (i.e., developments that causes change, affect, or shape the future), trends (e.g., notable characteristics of a phenomenon), and impacts on the domains of focus. Then, 120 experts from across Europe in the fields of intelligent cities, transport, and energy, as well as territorial Responsible Research and Innovation (RRI) were recruited to participate in a Delphi survey. As typical for this type of study, the survey took place in two rounds, enabling participants to revise their responses in the light of other participants’ views. In the second round of the study, 88 experts participated.
In the first round of the Delphi survey, 954 experts were contacted, and 120 valid replies were received (13.5% response rate). Almost half of the 120 panel participants self-declared holding “High” level of expertise in the territorial aspects of digitalisation (44%). Similarly, 41% of them were self-reported as experts in RRI, 33% as experts in intelligent cities, 27% in intelligent transport and 17% in intelligent energy. Besides, most participants declared living in Europe. Indicatively, 18% of them resided in Greece, 8% in the United Kingdom, 8% in Italy and 7% in Spain. Finally, 46% of them participated in the survey as members of academia or the research society, 22% of them as members of governmental bodies, and 9% of them as business experts. The dataset uploaded includes all the replies received.
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