A Citizen Science Community of Practice: Relational Patterns Contributing to Shared Practice

Citizen science networks are a recent global phenomenon, with associated communities of practice that have emerged to support growth in the field and the development of practices. Effective communities of practice are dependent on the interactions from the social network underpinning the community. We examined the Australian citizen science practitioner network, using a combined social network analysis and survey approach. Our goal was to understand the structure and characteristics of this network, to establish who participates in this network, where and how interactions occur, and explore what participation achieves for the users. The Australian citizen science practitioner network has benefited from face-to-face citizen science events to make important connections that have been leveraged to benefit other working relationships and positive outcomes, especially for early-career practitioners and women within the network. How the community of practice continues to navigate successful knowledge exchange across society and science, whether through interactions in face-to-face or virtual settings, will need to be addressed as the community continues to grow in scope and size. In particular, the network will need to consider supporting key individuals who play important bridging functions across the citizen science practitioner network. The emergence of transdisciplinarity amongst those working in citizen science is a promising property of this learning community that is worth working strategically to maintain

Associations for Citizen Science: Regional Knowledge, Global Collaboration

Since 2012, three organizations advancing the work of citizen science practitioners have arisen in different regions: The primarily US-based but globally open Citizen Science Association (CSA), the European Citizen Science Association (ECSA), and the Australian Citizen Science Association (ACSA). These associations are moving rapidly to establish themselves and to develop inter-association collaborations. We consider the factors driving this emergence and the significance of this trend for citizen science as a field of practice, as an area of scholarship, and for the culture of scientific research itself

Childhood aggression and the co-occurrence of behavioural and emotional problems

Childhood aggression and its resulting consequences inflict a huge burden on affected children, their relatives, teachers, peers and society as a whole. Aggression during childhood rarely occurs in isolation and is correlated with other symptoms of childhood psychopathology. In this paper, we aim to describe and improve the understanding of the co-occurrence of aggression with other forms of childhood psychop

DNA methylation signatures of aggression and closely related constructs : A meta-analysis of epigenome-wide studies across the lifespan

DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N = 15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha = 1.2 x 10(-7); Bonferroni correction). In cord blood samples of 2425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r = 0.74, p = 0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripheral blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range = 3-82%) of the aggression-methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits.Peer reviewe

Koala Counter: Recording Citizen Scientists’ search paths to Improve Data Quality

10.1016/j.gecco.2020.e01376Global Ecology and Conservation24e0137

Distribution models for koalas in South Australia using citizen science-collected data

The koala (Phascolarctos cinereus ) occurs in the eucalypt forests of eastern and southern Australia and is currently threatened by habitat fragmentation, climate change, sexually transmitted diseases, and low genetic variability throughout most of its range. Using data collected during the Great Koala Count (a 1-day citizen science project in the state of South Australia), we developed generalized linear mixed-effects models to predict habitat suitability across South Australia accounting for potential errors associated with the dataset. We derived spatial environmental predictors for vegetation (based on dominant species of Eucalyptus or other vegetation), topographic water features, rain, elevation, and temperature range. We also included predictors accounting for human disturbance based on transport infrastructure (sealed and unsealed roads). We generated random pseudo-absences to account for the high prevalence bias typical of citizen-collected data. We accounted for biased sampling effort along sealed and unsealed roads by including an offset for distance to transport infrastructures. The model with the highest statistical support (wAIC c ~ 1) included all vari- ables except rain, which was highly correlated with elevation. The same model also explained the highest deviance (61.6%), resulted in high R 2 (m) (76.4) and R 2 (c) (81.0), and had a good performance according to Cohen’s j (0.46). Cross-validation error was low (~ 0.1). Temperature range, elevation, and rain were the best predictors of koala occurrence. Our models predict high habitat suitability in Kangaroo Island, along the Mount Lofty Ranges, and at the tips of the Eyre, Yorke and Fleurieu Peninsulas. In the highest-density region (5576 km 2 ) of the Adelaide–Mount Lofty Ranges, a density–suitability relation- ship predicts a population of 113,704 (95% confidence interval: 27,685–199,723; average density = 5.0– 35.8 km 2 ). We demonstrate the power of citizen science data for predicting species’ distributions provided that the statistical approaches applied account for some uncertainties and potential biases. A future improve- ment to citizen science surveys to provide better data on search effort is that smartphone apps could be activated at the start of the search. The results of our models provide preliminary ranges of habitat suitability and population size for a species for which previous data have been difficult or impossible to gather otherwise.Ana M. M. Sequeira, Philip E. J. Roetman, Christopher B. Daniels, Andrew K. Baker, Corey J. A. Bradsha

Industrieel hergebruik van EoL thermoharde composieten

Kan de methode van hergebruik van end-of-life (EoL) thermoharde composieten op industriële schaal worden toegepast? Deze publicatie beschrijft de activiteiten en de resultaten van het RAAK-MKB project met het onderzoek naar deze vraag. Deze centrale praktijkvraag viel voor het onderzoek in twee deelvragen uiteen: kan het economische rendabel worden voor de industrie, en kan een kwaliteitsniveau worden gegarandeerd. Deze deelvragen zijn onderzocht aan de hand van de realisatie van een vijftal demonstrators met een groot consortium van 36 partners, onderzoekers van het lectoraat en studenten