Monitoring and the Risk Governance of Repository Development and Staged Closure:Exploratory Engagement Activity in Three European Countries.

This report is the product of research activity within the EC Seventh Framework Programme “Monitoring Developments for Safe Repository Operation and Staged Closure” (MoDeRn) Project. This project aims to further develop understanding of the role of monitoring in staged implementation of geological disposal to a level of description that is closer to the actual implementation of monitoring. It focuses on monitoring conducted to confirm the basis of the long term safety case and on monitoring conducted to inform on options available to manage the stepwise disposal process from construction to closure (including e.g. the option of waste retrieval). This report investigates the potential of citizen stakeholder engagement in the identification of monitoring objectives and the development of monitoring strategies for geological disposal of high level waste (HLW) or spent nuclear fuel (SNF). It builds on an earlier MoDeRn report describing monitoring the safe disposal of radioactive waste as a socio-technical activity (Bergmans, Elam, Simmons and Sundqvist 2012)

Megaprojects as niches of sociotechnical transitions: The case of digitalization in UK construction

Transitions are processes of systemic change where niches peripheral to a sociotechnical regime accumulate momentum, scale up and eventually transform its core. In contrast to this dominant narrative in transitions research, infrastructure systems exhibit the reverse process as change propagates from the regime core to its periphery. We explore this under-researched process in the case of digitalization in UK construction. We analyse six UK megaprojects that span more than 30 years as a single longitudinal embedded case, and show how the adoption of digital technologies driven by regime incumbents, seeds the processes of technology adaptation, aggregation, and system transformation. The adoption of digital technologies by incumbents is necessary to cope with megaproject scale and scope. Their adaptation to technology instigates organizational level change that starts at the regime core, accumulates with each project and makes these changes ripple across the industry and transform it

Synthesis and Derivatisation of Hetero-Atomic Zintl Anions and Multi-Metallic Clusters of the Tetrel and Pentel Elements

Binary Zintl anions of the tetrel and pentel elements have been synthesized. The work's focus is on the synthesis and derivatization of Zintl anions and multi-metallic clusters of the elemental combinations of germanium/phosphorus and germanium/arsenic. Novel binary Zintl anions and multi-metallic clusters with the elements vanadium, niobium, tantalum, and cadmium are presented

Structural Prediction of Protein–Protein Interactions by Docking: Application to Biomedical Problems

A huge amount of genetic information is available thanks to the recent advances in sequencing technologies and the larger computational capabilities, but the interpretation of such genetic data at phenotypic level remains elusive. One of the reasons is that proteins are not acting alone, but are specifically interacting with other proteins and biomolecules, forming intricate interaction networks that are essential for the majority of cell processes and pathological conditions. Thus, characterizing such interaction networks is an important step in understanding how information flows from gene to phenotype. Indeed, structural characterization of protein–protein interactions at atomic resolution has many applications in biomedicine, from diagnosis and vaccine design, to drug discovery. However, despite the advances of experimental structural determination, the number of interactions for which there is available structural data is still very small. In this context, a complementary approach is computational modeling of protein interactions by docking, which is usually composed of two major phases: (i) sampling of the possible binding modes between the interacting molecules and (ii) scoring for the identification of the correct orientations. In addition, prediction of interface and hot-spot residues is very useful in order to guide and interpret mutagenesis experiments, as well as to understand functional and mechanistic aspects of the interaction. Computational docking is already being applied to specific biomedical problems within the context of personalized medicine, for instance, helping to interpret pathological mutations involved in protein–protein interactions, or providing modeled structural data for drug discovery targeting protein–protein interactions.Spanish Ministry of Economy grant number BIO2016-79960-R; D.B.B. is supported by a predoctoral fellowship from CONACyT; M.R. is supported by an FPI fellowship from the Severo Ochoa program. We are grateful to the Joint BSC-CRG-IRB Programme in Computational Biology.Peer ReviewedPostprint (author's final draft

Scientific Coordination beyond the A Priori: A Three-dimensional Account of Constitutive Elements in Scientific Practice

In this dissertation, I present a novel account of the components that have a peculiar epistemic role in our scientific inquiries, since they contribute to establishing a form of coordination. The issue of coordination is a classic epistemic problem concerning how we justify our use of abstract conceptual tools to represent concrete phenomena. For instance, how could we get to represent universal gravitation as a mathematical formula or temperature by means of a numerical scale? This problem is particularly pressing when justification for using these abstract tools comes, in part or entirely, from knowledge which is not independent from them, thus leading to threats of circularity. Achieving coordination between some abstract conceptual tools and the concrete phenomena that they are supposed to represent is usually a complex process, which involves several epistemic components. Some of these components eventually provide stable conditions for applying those abstract representations to concrete phenomena. It is in this sense of providing certain conditions of applicability that different philosophical traditions, as well as some contemporary reappraisals, view these components as constitutive or a priori. In this work, I present a new gradualist, contextualist, and relational approach to understand these constitutive components of scientific inquiry. It is gradualist inasmuch as the degree to which some component is constitutive depends on three quantifiable features: quasi-axiomaticity, generative potential, and empirical shielding. Since the quantification of these three features impinges on the history and practice of using these components in a scientific context, my approach is a contextualist one. Finally, my approach is relational in a double sense: first, it identifies ordinal relationships among epistemic components with respect to their constitutive character; second, these relationships are relative to a scientific framework of inquiry. After introducing my account and a classic example of constitutively a priori principles, i.e., Friedman’s (2001) analysis of Newtonian mechanics, I turn to my own case studies to demonstrate the advantages of my approach. Firstly, I discuss Okasha’s (2018) view of endogenization as a pervasive theoretical strategy in evolutionary biology and suggest that the constitutive character of the core Darwinian principles progressively increases with endogenization. Secondly, I apply a conceptual distinction between two varieties or scopes of coordination – general coordination and coordination in measurement – to Ohm’s work on electrical conductivity. This distinction allows me to pinpoint to what extent components along different dimensions (e.g., instrumentation, measurement, theorising, etc.) were constitutive of the forms of coordination which Ohm relied on. Thirdly, I discuss the epistemic function of the Hardy-Weinberg principle in the history and practice of population genetics. I assess this principle in terms of my account and identify approximation and stability as two components that are highly constitutive, in that they contribute to justifying its use in population genetics. Finally, applying my account to these case studies enables me to identify at least three qualitatively different types of constitutive components: domain-specific theoretical principles, material components, and domain-independent assumptions underlying reasoning abilities. In the light of my results, I draw some general conclusions on epistemic justification and scientific knowledge