Coastal HF radars in the Mediterranean: status of operations and a framework for future development

Due to the semi-enclosed nature of the Mediterranean Sea, natural disasters and anthropogenic activities impose stronger pressures on its coastal ecosystems than in any other sea of the world. With the aim of responding adequately to science priorities and societal challenges, littoral waters must be effectively monitored with High-Frequency radar (HFR) systems. This land-based remote sensing technology can provide, in near real-time, fine-resolution maps of the surface circulation over broad coastal areas, along with reliable directional wave and wind information. The main goal of this work is to showcase the current status of the Mediterranean HFR network and the future roadmap for orchestrated actions. Ongoing collaborative efforts and recent progress of this regional alliance are not only described but also connected with other European initiatives and global frameworks, highlighting the advantages of this cost-effective instrument for the multi-parameter monitoring of the sea state. Coordinated endeavours between HFR operators from different multi-disciplinary institutions are mandatory to reach a mature stage at both national and regional levels, striving to: i) harmonize deployment and maintenance practices; ii) standardize data, metadata and quality control procedures; iii) centralize data management, visualization and access platforms; iv) develop practical applications of societal benefit, that can be used for strategic planning and informed decision-making in the Mediterranean marine environment. Such fit-for-purpose applications can serve for search and rescue operations, safe vessel navigation, tracking of marine pollutants, the monitoring of extreme events or the investigation of transport processes and the connectivity between offshore waters and coastal ecosystems. Finally, future prospects within the Mediterranean framework are discussed along with a wealth of socio-economic, technical and scientific challenges to be faced during the implementation of this integrated HFR regional network.

Open science practices and risks arising from misuse of biological research

The proliferation of open science may inadvertently increase the chance of deliberate or accidental misuse of research. Here, we examine the interaction between open science practices and biosecurity and biosafety to identify risks and opportunities for risk mitigation. We argue that open data, code, and materials may increase risks from research with misuse potential, despite their general importance. For instance, increased access to protocols, datasets, and computational methods for viral engineering may increase the risk of release of enhanced pathogens. For this dangerous subset of research, both open science and biosecurity goals may be achieved by using access-controlled repositories or application programming interfaces. The increased use of preprints could challenge any strategy for risk mitigation that relies on assessment at the publication stage, emphasising the need for earlier oversight in the research lifecycle. Preregistration of research, a practice promoted by the open science community, provides an opportunity for achieving biosecurity risk assessment at the conception of research. Open science and biosecurity experts have an important role to play in enabling responsible research with maximal societal benefit.

Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System

Marine animals equipped with biological and physical electronic sensors have produced long-term data streams on key marine environmental variables, hydrography, animal behavior and ecology. These data are an essential component of the Global Ocean Observing System (GOOS). The Animal Borne Ocean Sensors (AniBOS) network aims to coordinate the long-term collection and delivery of marine data streams, providing a complementary capability to other GOOS networks that monitor Essential Ocean Variables (EOVs), essential climate variables (ECVs) and essential biodiversity variables (EBVs). AniBOS augments observations of temperature and salinity within the upper ocean, in areas that are under-sampled, providing information that is urgently needed for an improved understanding of climate and ocean variability and for forecasting. Additionally, measurements of chlorophyll fluorescence and dissolved oxygen concentrations are emerging. The observations AniBOS provides are used widely across the research, modeling and operational oceanographic communities. High latitude, shallow coastal shelves and tropical seas have historically been sampled poorly with traditional observing platforms for many reasons including sea ice presence, limited satellite coverage and logistical costs. Animal-borne sensors are helping to fill that gap by collecting and transmitting in near real time an average of 500 temperature-salinity-depth profiles per animal annually and, when instruments are recovered (∼30% of instruments deployed annually, n = 103 ± 34), up to 1,000 profiles per month in these regions. Increased observations from under-sampled regions greatly improve the accuracy and confidence in estimates of ocean state and improve studies of climate variability by delivering data that refine climate prediction estimates at regional and global scales. The GOOS Observations Coordination Group (OCG) reviews, advises on and coordinates activities across the global ocean observing networks to strengthen the effective implementation of the system. AniBOS was formally recognized in 2020 as a GOOS network. This improves our ability to observe the ocean’s structure and animals that live in them more comprehensively, concomitantly improving our understanding of global ocean and climate processes for societal benefit consistent with the UN Sustainability Goals 13 and 14: Climate and Life below Water. Working within the GOOS OCG framework ensures that AniBOS is an essential component of an integrated Global Ocean Observing System.

Federated Learning and Privacy

Centralized data collection can expose individuals to privacy risks and organizations to legal risks if data is not properly managed. Federated learning is a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. Each client's raw data is stored locally and not exchanged or transferred; instead, focused updates intended for immediate aggregation are used to achieve the learning objective. This article provides a brief introduction to key concepts in federated learning and analytics with an emphasis on how privacy technologies may be combined in real-world systems and how their use charts a path toward societal benefit from aggregate statistics in new domains and with minimized risk to individuals and to the organizations who are custodians of the data.

Using Climate Information for Building Smallholder Resilience in India

Intra-seasonal and inter-annual climate variability is the specific climate-related production risk faced by smallholder rainfed farmers in India. For small holding rainfed farmers, access to reliable extended range and seasonal climate forecast (SCF) information could induce a set of adaptive risk reduction measures. The paper is an attempt to capture the experience of a pilot research study to understand the utility of SCF in generating risk-reducing decisions by players across the agricultural value chain in a semi-arid rainfed agroecosystem in Tamil Nadu, India. The results show that to realise the desired societal benefit of SCF, in addition to forecasts with improved predictive skills, appropriate spatial and temporal scale of the climate variables and effectiveness of the communication process is essential. Social equity in access to climate information across the agricultural value chain and ability and flexibility to adopt by the end users are also decisive factors that determine the effectiveness of climate information in reducing risk in farming. The experience also emphasises the need for strong institutional support to improve resource access and build the capacities of smallholders to translate informed decisions to actions at field level on risk-reducing responses.

Reshaping How Universities Can Evaluate the Research Impact of Open Humanities for Societal Benefit

During the twenty-first century, for the first time, the volume of digital data has surpassed the amount of analog data. As academic practices increasingly become digital, opportunities arise to reshape the future of scholarly communication through more accessible, interactive, open, and transparent methods that engage a far broader and more diverse public. Yet despite these advances, the research performance of universities and public research institutes remains largely evaluated through publication and citation analysis rather than by public engagement and societal impact. This article reviews how changes to bibliometric evaluations toward greater use of altmetrics, including social media mentions, could enhance uptake of open scholarship in the humanities. In addition, the article highlights current challenges faced by the open scholarship movement, given the complexity of the humanities in terms of its sources and outputs that include monographs, book chapters, and journals in languages other than English; the use of popular media not considered as scholarly papers; the lack of time and energy to develop digital skills among research staff; problems of authority and trust regarding the scholarly or non-academic nature of social media platforms; the prestige of large academic publishing houses; and limited awareness of and familiarity with advanced digital applications. While peer review will continue to be a primary method for evaluating research in the humanities, a combination of altmetrics and other assessment of research impact through different data sources may provide a way forward to ensure the increased use, sustainability, and effectiveness of open scholarship in the humanities.

Brain Health Services: organization, structure, and challenges for implementation. A user manual for Brain Health Services—part 1 of 6

Dementia has a devastating impact on the quality of life of patients and families and comes with a huge cost to society. Dementia prevention is considered a public health priority by the World Health Organization. Delaying the onset of dementia by treating associated risk factors will bring huge individual and societal benefit. Empirical evidence suggests that, in higher-income countries, dementia incidence is decreasing as a result of healthier lifestyles. This observation supports the notion that preventing dementia is possible and that a certain degree of prevention is already in action. Further reduction of dementia incidence through deliberate prevention plans is needed to counteract its growing prevalence due to increasing life expectancy.An increasing number of individuals with normal cognitive performance seek help in the current memory clinics asking an evaluation of their dementia risk, preventive interventions, or interventions to ameliorate their cognitive performance. Consistent evidence suggests that some of these individuals are indeed at increased risk of dementia. This new health demand asks for a shift of target population, from patients with cognitive impairment to worried but cognitively unimpaired individuals. However, current memory clinics do not have the programs and protocols in place to deal with this new population.We envision the development of new services, henceforth called Brain Health Services, devoted to respond to demands from cognitively unimpaired individuals concerned about their risk of dementia. The missions of Brain Health Services will be (i) dementia risk profiling, (ii) dementia risk communication, (iii) dementia risk reduction, and (iv) cognitive enhancement. In this paper, we present the organizational and structural challenges associated with the set-up of Brain Health Services.

Toward Open Research: A Narrative Review of the Challenges and Opportunities for Open Humanities

Open research represents a new set of principles and methodologies for greater cooperation, transparent sharing of findings, and access to and re-use of research data, materials or outputs, making knowledge more freely available to wider audiences for societal benefit. Yet, the future success of the international move toward open research will be dependent on key stakeholders addressing current barriers to increase uptake, effectiveness, and sustainability. This article builds on “An Agenda for Open Science in Communication,” raising dialog around the need for a broader view of open research as opposed to open science through a deeper understanding of specific challenges faced by the humanities. It reviews how the multifaceted nature of humanities research outputs make open communication formats more complex and costly. While new avenues are emerging to advance open research, there is a need for more collaborative, coordinated efforts to better connect humanities scholars with the communities they serve.

Ensuring Social Impact at Every Stage of Technology Research & Development

Although the United States national innovation system has produced many technologies, their benefits are not evenly distributed across the country’s population. This stands in direct contrast to the aims of government, which frequently funds science research for the purpose of social benefit. This paper first undertakes a deep reconsideration of the US national innovation system, and then reframes it as a collective impact initiative in order to coordinate every one of its contributors around this goal. It begins by tracing the origins of the longstanding tensions between science undertaken for the sakes of science inquiry versus societal benefit. It then discusses the inadequacies of practices meant to bridge science outcomes and societal needs like the broader impacts and technology transfer. It concludes by proposing a significant expansion of the stakeholders that evaluate the proposals and outcomes of federally funded research. This integrates diverse public participation into the proposal selection process, research discussions, and technology transfer to ensure that universal social impact is routinely considered.