| Literature DB >> 29134069 |
Margaret C Hardy1, Mathilde R Desselle2.
Abstract
During a week-long celebration of science, run under the federally supported National Science Week umbrella, the Catch a Rising Star: women in Queensland research (CaRS) programme flew scientists who identify as women to nine regional and remote communities in the Australian State of Queensland. The aim of the project was twofold: first, to bring science to remote and regional communities in a large, economically diverse state; and second, to determine whether media and public engagement provides career advancement opportunities for women scientists. This paper focuses on the latter goal. The data show: (i) a substantial majority (greater than 80%) of researchers thought the training and experience provided by the programme would help develop her career as a research scientist in the future, (ii) the majority (65%) thought the programme would help relate her research to end users, industry partners or stakeholders in the future, and (iii) analytics can help create a compelling narrative around engagement metrics and help to quantify influence. During the week-long project, scientists reached 600 000 impressions on one social media platform (Twitter) using a program hashtag. The breadth and depth of the project outcomes indicate funding bodies and employers could use similar data as an informative source of metrics to support hiring and promotion decisions. Although this project focused on researchers who identify as women, the lessons learned are applicable to researchers representing a diverse range of backgrounds. Future surveys will help determine whether the CaRS programme provided long-term career advantages to participating scientists and communities.Entities:
Keywords: altmetrics; career advancement; career development; equity; research; social media
Year: 2017 PMID: 29134069 PMCID: PMC5666252 DOI: 10.1098/rsos.170548
Source DB: PubMed Journal: R Soc Open Sci ISSN: 2054-5703 Impact factor: 2.963
An overview of the socio-economic and remoteness indicators for the communities visited. The Australian Bureau of Statistics Socio-Economic Indexes for Areas, which draws data from the 2011 Census, allows regional patterns of socio-economic stratification to be determined. The census divides the country into 577 local government areas, and each of those are ranked by percentile; for the following determination the Index of Education and Occupation was used, which incorporates characteristics including the proportion of people with a higher education or those employed in a skilled occupation. The remoteness classification is based on the Australian Standard Geographical Classification.
| map location | community | percentile | remoteness classification |
|---|---|---|---|
| 1 | Atherton and surrounds | 36 | outer regional |
| 2 | Brisbane suburbs | 20 | major city |
| 3 | Bundaberg | 13 | inner regional |
| 4 | Charleville | 37 | remote |
| 5 | Emerald | 36 | outer regional |
| 6 | Kowanyama | 8 | very remote |
| 7 | Longreach | 69 | very remote |
| 8 | Mt Isa | 37 | remote |
| 9 | Toowoomba | 60 | inner regional |
Figure 1.A map of the Australian State of Queensland, with the most recent available Index of Education and Occupation (IEO) overlaid and mapped by local government area (LGA).
Figure 2.An overview of the demographics of participating researchers. An RHD student is a research higher degree student, enrolled in either a masters or PhD programme. Health Sciences include medicine/dentistry, nursing/health professions, pharmacology/toxicology, veterinary science/medicine; Life Sciences include agricultural and biological sciences, biochemistry, genetics, molecular biology, environmental science, immunology/microbiology, neuroscience; Physical Sciences & Engineering include chemistry, computer sciences, Earth/planetary sciences, engineering, materials science, mathematics, physics; and Social Sciences include business, accounting, economics, psychology, social sciences.