Promoting gender equality and structural change in academia through gender equality plans: Harmonising EU and national initiatives

Gender equality has been actively promoted in EU academic institutions by the European Commission’s Science with and for Society (SwafS) programme through the implementation of gender equality plans (GEP). GEP formulation and implementation was strongly influenced by involvement in EU projects in Irish as well as Italian higher education institutions. The paper draws upon experience of the EU project SAGE (H2020), in which Irish and Italian universities actively cooperated, the Athena SWAN Charter in Ireland, Positive Action Plans (PAP) in Italy, and semi structured interviews with gender experts in Irish and Italian higher education institutions to explore the degree to which participation in EU and national initiatives can promote similar outcomes by the adoption of positive actions. The paper concludes that a harmonised strategy, focusing on common priorities and respecting cultural, political and social diversity, could promote the internationalization of the higher education sector and accelerate the process towards gender equality in academia.Gendergerechtigkeit wird in Hochschulen in der EU im Rahmen des Programms Science with and for Society (SwafS) der Europäischen Kommission durch die Umsetzung von Gleichstellungsplänen aktiv gefördert. Die Erarbeitung und Umsetzung von Gleichstellungsplänen wurde durch die Beteiligung an EU-Projekten in irischen sowie italienischen Hochschuleinrichtungen stark beeinflusst. Dieser Beitrag bezieht sich auf Erfahrungen des EU-Projekts SAGE (H2020), bei dem irische und italienische Universitäten kooperieren, die Athena SWAN Charta in Irland, den Aktionsplan Piano di Azioni Positive (PAP) in Italien und Interviews mit Gender- Expert*innen irischer und italienischer Hochschuleinrichtungen. Es wird untersucht, inwieweit die Teilnahme an EU- und nationalen Initiativen ähnliche Ergebnisse erzielen kann. Der Beitrag kommt zu dem Schluss, dass eine abgestimmte Strategie, die sich auf gemeinsame Prioritäten konzentriert und kulturelle, politische und soziale Vielfalt berücksichtigt, die Internationalisierung des Hochschulsektors fördern und den Prozess zur Herstellung von Gendergerechtigkeit in der Wissenschaft beschleunigen könnte

Integrating monitor alarms with laboratory test results to enhance patient deterioration prediction

AbstractPatient monitors in modern hospitals have become ubiquitous but they generate an excessive number of false alarms causing alarm fatigue. Our previous work showed that combinations of frequently co-occurring monitor alarms, called SuperAlarm patterns, were capable of predicting in-hospital code blue events at a lower alarm frequency. In the present study, we extend the conceptual domain of a SuperAlarm to incorporate laboratory test results along with monitor alarms so as to build an integrated data set to mine SuperAlarm patterns. We propose two approaches to integrate monitor alarms with laboratory test results and use a maximal frequent itemsets mining algorithm to find SuperAlarm patterns. Under an acceptable false positive rate FPRmax, optimal parameters including the minimum support threshold and the length of time window for the algorithm to find the combinations of monitor alarms and laboratory test results are determined based on a 10-fold cross-validation set. SuperAlarm candidates are generated under these optimal parameters. The final SuperAlarm patterns are obtained by further removing the candidates with false positive rate>FPRmax. The performance of SuperAlarm patterns are assessed using an independent test data set. First, we calculate the sensitivity with respect to prediction window and the sensitivity with respect to lead time. Second, we calculate the false SuperAlarm ratio (ratio of the hourly number of SuperAlarm triggers for control patients to that of the monitor alarms, or that of regular monitor alarms plus laboratory test results if the SuperAlarm patterns contain laboratory test results) and the work-up to detection ratio, WDR (ratio of the number of patients triggering any SuperAlarm patterns to that of code blue patients triggering any SuperAlarm patterns). The experiment results demonstrate that when varying FPRmax between 0.02 and 0.15, the SuperAlarm patterns composed of monitor alarms along with the last two laboratory test results are triggered at least once for [56.7–93.3%] of code blue patients within an 1-h prediction window before code blue events and for [43.3–90.0%] of code blue patients at least 1-h ahead of code blue events. However, the hourly number of these SuperAlarm patterns occurring in control patients is only [2.0–14.8%] of that of regular monitor alarms with WDR varying between 2.1 and 6.5 in a 12-h window. For a given FPRmax threshold, the SuperAlarm set generated from the integrated data set has higher sensitivity and lower WDR than the SuperAlarm set generated from the regular monitor alarm data set. In addition, the McNemar’s test also shows that the performance of the SuperAlarm set from the integrated data set is significantly different from that of the SuperAlarm set from the regular monitor alarm data set. We therefore conclude that the SuperAlarm patterns generated from the integrated data set are better at predicting code blue events

Fostering gender equality in research institutions through Transformational-Gender Action Plans

"This paper draws upon baseline evidence compiled for the FP7 Project 'INstitutional Transformation for Effecting Gender Equality in Research' (INTEGER) in three very different research and higher education institutions. Despite institutional commitments towards gender equality, there is an under-representation of women at full professorship (Grade A) and equivalent positions. Furthermore, women and men are unequally represented on key committees and other decision-making bodies. INTEGER's task is to address these and other imbalances through the adoption of Transformational Gender Action Plans (T-GAPs). These T-GAPs involve: increasing the visibility and leadership potential of women academics/researchers; monitoring and gender proofing of recruitment/retention and promotion policies and practices; ensuring gender balance on decision-making bodies/committees; providing mentoring programmes and training in gender awareness to overcome unconscious bias at all levels of the institution; setting targets for high level appointments; and promoting gender equality as a core value contributing to research excellence. The T-GAP process is informed by international good practice through peer mentoring with research institutions in the UK/EU and USA and alignment with the Athena SWAN Charter and equivalent award holders. In addition, an external evaluation team assesses progress and impacts of the T-GAPs in each organisation. The paper presents common and different approaches of designing institutional transformation, strategies for building alliances in the institution for effective implementation of the T-GAPs and how the processes can be evaluated." (author's abstract

The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015

Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study

Background The SARS-CoV-2 variant B.1.1.7 was first identified in December, 2020, in England. We aimed to investigate whether increases in the proportion of infections with this variant are associated with differences in symptoms or disease course, reinfection rates, or transmissibility. Methods We did an ecological study to examine the association between the regional proportion of infections with the SARS-CoV-2 B.1.1.7 variant and reported symptoms, disease course, rates of reinfection, and transmissibility. Data on types and duration of symptoms were obtained from longitudinal reports from users of the COVID Symptom Study app who reported a positive test for COVID-19 between Sept 28 and Dec 27, 2020 (during which the prevalence of B.1.1.7 increased most notably in parts of the UK). From this dataset, we also estimated the frequency of possible reinfection, defined as the presence of two reported positive tests separated by more than 90 days with a period of reporting no symptoms for more than 7 days before the second positive test. The proportion of SARS-CoV-2 infections with the B.1.1.7 variant across the UK was estimated with use of genomic data from the COVID-19 Genomics UK Consortium and data from Public Health England on spike-gene target failure (a non-specific indicator of the B.1.1.7 variant) in community cases in England. We used linear regression to examine the association between reported symptoms and proportion of B.1.1.7. We assessed the Spearman correlation between the proportion of B.1.1.7 cases and number of reinfections over time, and between the number of positive tests and reinfections. We estimated incidence for B.1.1.7 and previous variants, and compared the effective reproduction number, Rt, for the two incidence estimates. Findings From Sept 28 to Dec 27, 2020, positive COVID-19 tests were reported by 36 920 COVID Symptom Study app users whose region was known and who reported as healthy on app sign-up. We found no changes in reported symptoms or disease duration associated with B.1.1.7. For the same period, possible reinfections were identified in 249 (0·7% [95% CI 0·6–0·8]) of 36 509 app users who reported a positive swab test before Oct 1, 2020, but there was no evidence that the frequency of reinfections was higher for the B.1.1.7 variant than for pre-existing variants. Reinfection occurrences were more positively correlated with the overall regional rise in cases (Spearman correlation 0·56–0·69 for South East, London, and East of England) than with the regional increase in the proportion of infections with the B.1.1.7 variant (Spearman correlation 0·38–0·56 in the same regions), suggesting B.1.1.7 does not substantially alter the risk of reinfection. We found a multiplicative increase in the Rt of B.1.1.7 by a factor of 1·35 (95% CI 1·02–1·69) relative to pre-existing variants. However, Rt fell below 1 during regional and national lockdowns, even in regions with high proportions of infections with the B.1.1.7 variant. Interpretation The lack of change in symptoms identified in this study indicates that existing testing and surveillance infrastructure do not need to change specifically for the B.1.1.7 variant. In addition, given that there was no apparent increase in the reinfection rate, vaccines are likely to remain effective against the B.1.1.7 variant. Funding Zoe Global, Department of Health (UK), Wellcome Trust, Engineering and Physical Sciences Research Council (UK), National Institute for Health Research (UK), Medical Research Council (UK), Alzheimer's Society

Navigating unChartered waters : anchoring Athena SWAN into Irish HEIs

The UK Athena SWAN (AS) Charter was extended to Irish Higher Education Institutions (HEIs) in 2015 to provide a catalyst for change towards gender equality and to transform institutional cultures, through AS Gender Action Plans. This paper charts: the journey of Athena SWAN to Ireland; its rate of adoption by Irish HEIs; and its impact on the sector. Drawing upon the perspective and contribution of Trinity College Dublin, as an institutional case study accelerator, the paper examines some prevailing critiques of the Athena SWAN Charter and demonstrates how some of these shortfalls have been overcome in the Irish HEI sector, most notably through linking Athena SWAN awards to sectoral and research funding

Women in science and technology employment

Ireland continues to experience the fastest growth in GNP within the European Union, with average GNP increases of almost 8 per cent per annum over the period of the late 1990\u27s. This has led to buoyancy in the Irish labour market with increasing employment in both the manufacturing and services sectors. Sectors such as IT, electronics and internationally traded services have grown substantially, as has the chemical industry. In parallel with foreign led industry, Irish-owned sectors such as engineering and consumer foods have also expanded both in terms of production and employment. Employment in industry accounted-for--22=per--cent-of-maleemployment and 14.2 per cent of female employment in 2000 (CSO. 2000). Women\u27s employment continues to be based more heavily than male in the:service..sector and service occupations. All available trends indicate a continuing increase in demand for female labour and a tightening of labour market conditions. It is increasingly recognised that women can make a contribution to meeting existing and future labour shortages in Ireland (National Competitiveness Council 2000). The current economic situation provides an opportunity for women to participate in greater numbers while at the same time contributing to meeting industry\u27s growing needs for more skill intensive labour. Below we examine some of the recent reports on skill shortages in the SET sector