• 2020-2024close
• Open Access close
• Embargo close
• Research data close
• Other research products close
• Other ORP type close
• GB close

On the reference tetrahedron K, we construct, for each k∈N0, a right inverse for the trace operator u↦(u,∂nu,…,∂knu)|∂K. The operator is stable as a mapping from the trace space of Ws,p(K) to Ws,p(K) for all p∈(1,∞) and s∈(k+1/p,∞). Moreover, if the data is the trace of a polynomial of degree N∈N0, then the resulting lifting is a polynomial of degree N. One consequence of the analysis is a novel characterization for the range of the trace operator.

This conceptual paper makes the case for a metamodern perspective in the study of digital journalism. Identifying oscillation, the movement in-between opposing poles, as the overarching defining principle of digital journalism’s ontology, the paper argues that we should abandon old tropes related to postmodernism and instead situate journalism's struggles for autonomy and authority within present-day culture's structure of feeling. Metamodernism is defined by "an oscillation between a typically modern commitment and a markedly postmodern detachment", which could be seen in the works of modern artists who "increasingly abandon the aesthetic precepts of deconstruction, parataxis, and pastiche in favour of aesth-ethical notions of reconstruction, myth and metaxis" (Vermeulen & van den Akker, 2010). Moving beyond postmodernist conceptualisations of journalism's struggles over its identity helps shed light on its efforts to reinvent and rebuild itself in the post-truth age, and metamodernism offers a fruitful conceptual lens through which to examine the negotiations between multiple forces and imperatives that vie for power over what journalism is and should be.

There is stark global inequity in health research in terms of where studies happen, who leads the research and the ultimate beneficiaries of the results generated. Despite significant efforts made, limited research ideas are conceptualised and implemented in low-resource settings to tackle diseases of poverty, and this is especially true in sub-Saharan Africa. There is strong evidence to show that the barriers to locally led research do not vary largely between disease, study type and location and can be largely solved by addressing these common gaps. The European & Developing Countries Clinical Trials Partnership (EDCTP) was established in 2003 as a European response to the global health crisis caused by the three main poverty-related diseases HIV, tuberculosis and malaria. EDCTP has established a model of long-term sustainable capacity development integrated into clinical trials which addresses this lack of locally led research in sub-Saharan Africa, supporting the development of individual and institutional capacity and research outputs that change the management, prevention and treatment of poverty-related and neglected infectious diseases across Africa. In recognition of emergent data on what the barriers and enablers are to long-term, sustainable capabilities to run studies, EDCTP formed a new collaboration with The Global Health Network (TGHN) in September 2017, with the aim to make a set of cross-cutting tools and resources to support the planning, writing and delivery of high-quality clinical trials available to research staff wherever they are in the world, especially those in low- and middle-income countries (LMICs) via TGHN platform. These new resources developed on the 'EDCTP Knowledge Hub' are those identified in the mixed method study described in this commentary as being key to addressing the gaps that the research community report as the most limiting elements in their ability to design and implement studies. The Knowledge Hub aims to make these tools freely available to any potential health research team in need of support and guidance in designing and running their own studies, particularly in low-resource settings. The purpose is to provide open access to the specific guidance, information and tools these teams cannot otherwise access freely. Ultimately, this will enable them to design and lead their own high-quality studies addressing local priorities with global alignment, generating new data that can change health outcomes in their communities.