Showing papers by "City University London published in 2020"

Singing voice separation with deep u-net convolutional networks

Abstract: A system, method and computer product for training a neural network system. The method comprises applying an audio signal to the neural network system, the audio signal including a vocal component and a non-vocal component. The method also comprises comparing an output of the neural network system to a target signal, and adjusting at least one parameter of the neural network system to reduce a result of the comparing, for training the neural network system to estimate one of the vocal component and the non-vocal component. In one example embodiment, the system comprises a U-Net architecture. After training, the system can estimate vocal or instrumental components of an audio signal, depending on which type of component the system is trained to estimate.

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

Abstract: This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.

Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors

Abstract: We seek to guide operations management (OM) research on the implementation of supply chain traceability systems by identifying business requirements and the factors critical to successful implementation. We first motivate the need for implementing traceability systems in two very different industries – cobalt mining and pharmaceuticals – and present business requirements and critical success factors for implementation. Next, we describe how we carried out thematic analysis of practitioner and scholarly articles on implementing blockchain for supply chain traceability. Finally, we present our results pertaining to the needs of different stakeholders such as suppliers, consumers, and regulators. The business requirements for traceability systems are curbing illegal practices; improving sustainability performance; increasing operational efficiency; enhancing supply-chain coordination; and sensing market trends. Critical success factors for implementation are companies’ capabilities; collaboration; technology maturity; supply chain practices; leadership; and governance of the traceability efforts. These findings provide a nascent measurement model for empirical work and a foundation for descriptive and normative research on blockchain applications for supply chain traceability.

Air Pollution and the Novel Covid-19 Disease: a Putative Disease Risk Factor.

Abstract: The emergence of a new Severe Acute Respiratory Syndrome coronavirus (SARS-CoV-2) disease (Covid19) appeared in Wuhan (China) in December 2019 when the Chinese authorities reported to the World Health Organization (WHO) Course Office in China of a pneumonia of unknown cases. Consequently, the novel coronavirus outbreak was firstly declared as a Public Health Emergency of International Concern on 30 January and then it was officially confirmed as a Pandemic on 11 February [1]. The severity of this virus lies in its long incubation period, which it is reported to range up to 14 days (although it has been recently stated that, in some cases, this may extend to 21 days [2]), and the respiratory illness related to the virus, which can develop from a common cold to a more deadly disease such as SARS and MERS (Middle East Respiratory Syndrome) [3]. According to the scientific information released by the CDC (Centre for Disease Control and Prevention) regarding the symptoms of Covid-19, the pathologies this virus develops and presents range from 2 to 14 days. The infections caused by the virus vary and can range from being mild (i.e., not showing any symptoms) to more severe, which in some cases can lead to hospitalization. Symptoms include fever, which is the most common, followed by dry cough, and shortness of breath [4]. The manifestation of these symptoms can depend on the patient’s age and physical condition. Older people, those who live in a nursing home or long-term care facilities, and all people with existing health conditions are those who will develop more critical illness [5]. There is the additional environmental aspect, which could facilitate the spread of the virus, namely the high agglomeration of air pollutants. The assumption that air pollution conditions facilitate the spread of the virus was shown and supported by Cui et al. [6] during the SARS outbreak in mainland China in November 2002. This study analyzed the correlation between the increment of the API (Air Pollution Index) and the rate of fatality due to SARS across 5 regions in China. The regions were selected according to their elevated Air Pollution Index, taking into consideration that an API less than 100 is thought to be healthy for the general population. According to this research, the five regions under investigation (Guangdong, Shanxi, Hebei, Beijing, and Tianjin) presented a linear relationship between API, in the period April to May 2003, and fatality rate due to SARS. The lower the API, the lower the mortality rate [6]. In 2017, Ciencewicki and Jaspers conducted an epidemiological analysis regarding air pollution and respiratory viral infections which noted positive correlation between the high level of particulate matter (PM) in some urban areas and mortality due to cardiovascular and respiratory conditions. Elevated exposure to common PM present in the air can alter host immunity to respiratory viral infections [7]. A recent study from the SIMA (Società Italiana di Medicina Ambientale) reported that the specificity of the high spread of the contagious virus in some areas of Northern Italy is likely to be linked to air pollution conditions. According to the recent SIMA analysis of Covid-19 diffusion in Italy, the atmospheric particulate matter exercises a carrier (or boost) action along with the virus. The PM10 (particulate matter) is composed of solid and liquid particles which allow to float in the airflow longer and to be widespread over larger distances. Atmospheric PM has a sub-layer that facilitates the virus This article is part of the Topical Collection on Covid-19

Postfeminism, popular feminism and neoliberal feminism? Sarah Banet-Weiser, Rosalind Gill and Catherine Rottenberg in conversation:

Abstract: In this unconventional article, Sarah Banet-Weiser, Rosalind Gill and Catherine Rottenberg conduct a three-way ‘conversation’ in which they all take turns outlining how they understand the relation...

Deep Learning for Cardiac Image Segmentation: A Review.

Abstract: Deep learning has become the most widely used approach for cardiac image segmentation in recent years. In this paper, we provide a review of over 100 cardiac image segmentation papers using deep learning, which covers common imaging modalities including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound and major anatomical structures of interest (ventricles, atria, and vessels). In addition, a summary of publicly available cardiac image datasets and code repositories are included to provide a base for encouraging reproducible research. Finally, we discuss the challenges and limitations with current deep learning-based approaches (scarcity of labels, model generalizability across different domains, interpretability) and suggest potential directions for future research.

Resilience in the face of uncertainty: early lessons from the COVID-19 pandemic

Abstract: The transboundary dynamics of COVID-19 present an unprecedented test of organisational resilience. In the UK, the National Health Service (NHS), a talisman of collective fortitude against disease and illness, has struggled to cope with inadequate provision of virus tests, ventilators, and personal protective equipment needed to fight the pandemic. In this paper, we reflect on the historic dynamics and strategic priorities that have undermined the NHS’s attempts to navigate these troubled times. We invoke the organisational resilience literature to address ‘the good, the bad and the ugly’ of preparedness in readiness and response to the current pandemic. In particular, we draw on Meyer’s (1982) seminal work on ‘adaptation to jolts’, excavating current preparedness failings. We argue an overreliance on perceived efficiency benefits of ‘lean production’ and ‘just in time’ continuity planning superseded strategic redundancy and slack in the system. This strategic focus was not simply the result of a failure in foresight, but rather a failure to act adaptively on knowledge of the known threats and weaknesses spotlighted by earlier projections of an inevitable pandemic threat. In conclusion, we consider how the UK Government and NHS must now undergo a phase of ‘readjustment’ in Meyer’s terms, in light of these failings. We suggest that independent responsibility for national future preparedness should be handed to the NHS free from political interference. This would operate under the umbrella of a national emergency preparedness, resilience and response public body, enshrined in law, and similar in governance to the current Bank of England. This will help ensure that foresight is accompanied by durability and fortitude in safeguarding the UK against future pandemic threats.

Commentary: COVID in care homes-challenges and dilemmas in healthcare delivery.

Abstract: The COVID-19 pandemic has disproportionately affected care home residents internationally, with 19-72% of COVID-19 deaths occurring in care homes. COVID-19 presents atypically in care home residents and up to 56% of residents may test positive whilst pre-symptomatic. In this article, we provide a commentary on challenges and dilemmas identified in the response to COVID-19 for care homes and their residents. We highlight the low sensitivity of polymerase chain reaction testing and the difficulties this poses for blanket screening and isolation of residents. We discuss quarantine of residents and the potential harms associated with this. Personal protective equipment supply for care homes during the pandemic has been suboptimal and we suggest that better integration of procurement and supply is required. Advance care planning has been challenged by the pandemic and there is a need to for healthcare staff to provide support to care homes with this. Finally, we discuss measures to implement augmented care in care homes, including treatment with oxygen and subcutaneous fluids, and the frameworks which will be required if these are to be sustainable. All of these challenges must be met by healthcare, social care and government agencies if care home residents and staff are to be physically and psychologically supported during this time of crisis for care homes.

A population-based phenome-wide association study of cardiac and aortic structure and function

Abstract: Differences in cardiac and aortic structure and function are associated with cardiovascular diseases and a wide range of other types of disease. Here we analyzed cardiovascular magnetic resonance images from a population-based study, the UK Biobank, using an automated machine-learning-based analysis pipeline. We report a comprehensive range of structural and functional phenotypes for the heart and aorta across 26,893 participants, and explore how these phenotypes vary according to sex, age and major cardiovascular risk factors. We extended this analysis with a phenome-wide association study, in which we tested for correlations of a wide range of non-imaging phenotypes of the participants with imaging phenotypes. We further explored the associations of imaging phenotypes with early-life factors, mental health and cognitive function using both observational analysis and Mendelian randomization. Our study illustrates how population-based cardiac and aortic imaging phenotypes can be used to better define cardiovascular disease risks as well as heart-brain health interactions, highlighting new opportunities for studying disease mechanisms and developing image-based biomarkers.

Criteria for Rigor in Visualization Design Study

Abstract: We develop a new perspective on research conducted through visualization design study that emphasizes design as a method of inquiry and the broad range of knowledge-contributions achieved through it as multiple, subjective, and socially constructed. From this interpretivist position we explore the nature of visualization design study and develop six criteria for rigor. We propose that rigor is established and judged according to the extent to which visualization design study research and its reporting are INFORMED , REFLEXIVE , ABUNDANT , PLAUSIBLE , RESONANT , and TRANSPARENT . This perspective and the criteria were constructed through a four-year engagement with the discourse around rigor and the nature of knowledge in social science, information systems, and design. We suggest methods from cognate disciplines that can support visualization researchers in meeting these criteria during the planning, execution, and reporting of design study. Through a series of deliberately provocative questions, we explore implications of this new perspective for design study research in visualization, concluding that as a discipline, visualization is not yet well positioned to embrace, nurture, and fully benefit from a rigorous, interpretivist approach to design study. The perspective and criteria we present are intended to stimulate dialogue and debate around the nature of visualization design study and the broader underpinnings of the discipline.

Numerical investigation on load redistribution capacity of flat slab substructures to resist progressive collapse

Abstract: To study the load redistribution capacity of reinforced concrete (RC) flat slab structures subjected to a middle column loss scenario, high fidelity finite element (FE) models were built using commercial software LS-DYNA. The numerical models were validated by experimental results. It is found that the continuous surface cap model (CSCM) with an erosion criterion considering both the maximum principal and shear strain could effectively predict the punching shear failure at slab-column connections. The validated FE models were employed to investigate the effect of boundary conditions, amount of integrity reinforcement, and slab thickness on the load redistribution capacity of flat slab structures. Furthermore, multi-story RC flat slab substructures were built to capture the load redistribution behavior of different floors. Parametric studies indicate that ignoring the constraints from surrounding slabs may underestimate the load redistribution capacity of the flat slab substructures. Therefore, it is suggested that in future numerical or experimental studies, rigid horizontal constraints should be applied at the slab edge of the substructure to well represent the constraints from surrounding slabs. In addition, it is also found that the amount of integrity reinforcement would significantly affect the post-punching performance of flat slab structures. It is suggested that the minimum integrity reinforcement ratio should be 0.63%.

Neurosymbolic AI: The 3rd Wave

Abstract: Current advances in Artificial Intelligence (AI) and Machine Learning (ML) have achieved unprecedented impact across research communities and industry. Nevertheless, concerns about trust, safety, interpretability and accountability of AI were raised by influential thinkers. Many have identified the need for well-founded knowledge representation and reasoning to be integrated with deep learning and for sound explainability. Neural-symbolic computing has been an active area of research for many years seeking to bring together robust learning in neural networks with reasoning and explainability via symbolic representations for network models. In this paper, we relate recent and early research results in neurosymbolic AI with the objective of identifying the key ingredients of the next wave of AI systems. We focus on research that integrates in a principled way neural network-based learning with symbolic knowledge representation and logical reasoning. The insights provided by 20 years of neural-symbolic computing are shown to shed new light onto the increasingly prominent role of trust, safety, interpretability and accountability of AI. We also identify promising directions and challenges for the next decade of AI research from the perspective of neural-symbolic systems.

When is there a sustainability case for CSR? Pathways to environmental and social performance improvements

Abstract: Little is known about when corporate social responsibility (CSR) leads to a sustainability case (i.e., to improvements in environmental and social performance). Building on various forms of decoupl...

Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring

Abstract: One in three adults worldwide has hypertension, which is associated with significant morbidity and mortality. Consequently, there is a global demand for continuous and non-invasive blood pressure (BP) measurements that are convenient, easy to use, and more accurate than the currently available methods for detecting hypertension. This could easily be achieved through the integration of single-site photoplethysmography (PPG) readings into wearable devices, although improved reliability and an understanding of BP estimation accuracy are essential. This review paper focuses on understanding the features of PPG associated with BP and examines the development of this technology over the 2010–2019 period in terms of validation, sample size, diversity of subjects, and datasets used. Challenges and opportunities to move single-site PPG forward are also discussed.

A Review of Indigenous Food Crops in Africa and the Implications for more Sustainable and Healthy Food Systems

Abstract: Indigenous and traditional foods crops (ITFCs) have multiple uses within society, and most notably have an important role to play in the attempt to diversify the food in order to enhance food and nutrition security. However, research suggests that the benefits and value of indigenous foods within the South African and the African context have not been fully understood and synthesized. Their potential value to the African food system could be enhanced if their benefits were explored more comprehensively. This synthesis presents a literature review relating to underutilized indigenous crop species and foods in Africa. It organizes the findings into four main contributions, nutritional, environmental, economic, and social-cultural, in line with key themes of a sustainable food system framework. It also goes on to unpack the benefits and challenges associated with ITFCs under these themes. A major obstacle is that people are not valuing indigenous foods and the potential benefit that can be derived from using them is thus neglected. Furthermore, knowledge is being lost from one generation to the next, with potentially dire implications for long-term sustainable food security. The results show the need to recognize and enable indigenous foods as a key resource in ensuring healthy food systems in the African continent.

Toward a Process Theory of Making Sustainability Strategies Legitimate in Action

Abstract: We draw on a three-year qualitative study of the processual dynamics of implementing a sustainability strategy alongside an existing mainstream competitive strategy. We show that despite the legitimacy of the sustainability strategy at the organizational level, actors experience tensions with its implementation at the action level vis-a-vis the mainstream strategy, thus creating the potential for decoupling. Our findings show that working through these tensions on specific tasks, enables actors to legitimate the sustainability strategy in action and to co-enact it with the mainstream strategy within those tasks. Cumulatively, multiple instances of such co-enactment at the action level reinforce the organizational-level legitimacy of the sustainability strategy and its integration with the mainstream strategy. We draw these findings together into a dynamic process model that contributes to the literature on integration of dual strategies at the action and organizational levels as a process of legitimacy making.

Long-term Changes in Cognitive Functioning in Individuals With Psychotic Disorders: Findings From the Suffolk County Mental Health Project

Abstract: Importance It remains uncertain whether people with psychotic disorders experience progressive cognitive decline or normal cognitive aging after first hospitalization. This information is essential for prognostication in clinical settings, deployment of cognitive remediation, and public health policy. Objective To examine long-term cognitive changes in individuals with psychotic disorders and to compare age-related differences in cognitive performance between people with psychotic disorders and matched control individuals (ie, individuals who had never had psychotic disorders). Design, Setting, and Participants The Suffolk County Mental Health Project is an inception cohort study of first-admission patients with psychosis. Cognitive functioning was assessed 2 and 20 years later. Patients were recruited from the 12 inpatient facilities of Suffolk County, New York. At year 20, the control group was recruited by random digit dialing and matched to the clinical cohort on zip code and demographics. Data were collected between September 1991 and July 2015. Analysis began January 2016. Main Outcomes and Measures Change in cognitive functioning in 6 domains: verbal knowledge (Wechsler Adult Intelligence Scale–Revised vocabulary test), verbal declarative memory (Verbal Paired Associates test I and II), visual declarative memory (Visual Reproduction test I and II), attention and processing speed (Symbol Digit Modalities Test–written and oral; Trail Making Test [TMT]–A), abstraction-executive function (Trenerry Stroop Color Word Test; TMT-B), and verbal fluency (Controlled Oral Word Association Test). Results A total of 705 participants were included in the analyses (mean [SD] age at year 20, 49.4 [10.1] years): 445 individuals (63.1%) had psychotic disorders (211 with schizophrenia spectrum [138 (65%) male]; 164 with affective psychoses [76 (46%) male]; 70 with other psychoses [43 (61%) male]); and 260 individuals (36.9%) in the control group (50.5 [9.0] years; 134 [51.5%] male). Cognition in individuals with a psychotic disorder declined on all but 2 tests (average decline:d = 0.31; range, 0.17-0.54; allP Conclusions and Relevance In individuals with psychotic disorders, most cognitive functions declined over 2 decades after first hospitalization. Observed declines were clinically significant. Some declines were larger than expected due to normal aging, suggesting that cognitive aging in some domains may be accelerated in this population. If confirmed, these findings would highlight cognition as an important target for research and treatment during later phases of psychotic illness.

Transformative spaces in the making: key lessons from nine cases in the Global South

Abstract: Creating a just and sustainable planet will require not only small changes, but also systemic transformations in how humans relate to the planet and to each other, i.e., social–ecological transformations. We suggest there is a need for collaborative environments where experimentation with new configurations of social–ecological systems can occur, and we refer to these as transformative spaces. In this paper, we seek a better understanding of how to design and enable the creation of transformative spaces in a development context. We analyse nine case studies from a previous special issue on Designing Transformative Spaces that aimed to collect examples of cutting-edge action-oriented research on transformations from the Global South. The analysis showed five design phases as being essential: Problem Definition Phase; Operationalisation Phase; Tactical Phase; Outcome Phase; and Reflection Phase. From this synthesis, we distilled five key messages that should be considered when designing research, including: (a) there are ethical dilemmas associated with creating a transformative space in a system; (b) it is important to assess the readiness of the system for change before engaging in it; (c) there is a need to balance between ‘safe’ and ‘safe-enough’ spaces for transformation; (d) convening a transformative space requires an assemblage of diverse methodological frameworks and tools; and (e) transformative spaces can act as a starting point for institutionalising transformative change. Many researchers are now engaging in transdisciplinary transformations research, and are finding themselves at the knowledge–action interface contributing to transformative space-making. We hope that by analysing experiences from across different geographies we can contribute towards better understanding of how to navigate the processes needed for the urgent global transformations that are being called for to create a more equitable and sustainable planet Earth.

Effects of High-Strength Concrete on Progressive Collapse Resistance of Reinforced Concrete Frame

Abstract: The application of extreme loads, such as impact and blast, may lead to progressive collapse and the robustness of a structure must be considered in this context. Although extensive studies...

Confirmation bias in the utilization of others’ opinion strength

Abstract: Humans tend to discount information that undermines past choices and judgments. This confirmation bias has significant impact on domains ranging from politics to science and education. Little is known about the mechanisms underlying this fundamental characteristic of belief formation. Here we report a mechanism underlying the confirmation bias. Specifically, we provide evidence for a failure to use the strength of others' disconfirming opinions to alter confidence in judgments, but adequate use when opinions are confirmatory. This bias is related to reduced neural sensitivity to the strength of others' opinions in the posterior medial prefrontal cortex when opinions are disconfirming. Our results demonstrate that existing judgments alter the neural representation of information strength, leaving the individual less likely to alter opinions in the face of disagreement.

Coronavirus (COVID-19) in the United Kingdom: A personality-based perspective on concerns and intention to self-isolate.

Abstract: Objectives Public behaviour change is necessary to contain the spread of coronavirus (COVID-19). Based on the reinforcement sensitivity theory (RST) framework, this study presents an examination of individual differences in some relevant psychological factors. Design Cross-sectional psychometric. Methods UK respondents (N = 202) completed a personality questionnaire (RST-PQ), measures of illness attitudes, concerns about the impact of coronavirus on health services and socio-economic infrastructures, personal safety, and likelihood of voluntary self-isolation. Results Respondents most concerned were older, had negative illness attitudes, and scored higher on reward reactivity (RR), indicating the motivation to take positive approach action despite prevailing worry/anxiety. Personal safety concerns were highest in those with negative illness attitudes and higher fight-flight-freeze system (FFFS, reflecting fear/avoidance) scores. Results suggest people are experiencing psychological conflict: between the urge to stay safe (FFFF-related) and the desire to maintain a normal, pleasurable (RR-related) life. Ways of ameliorating conflict may include maladaptive behaviours (panic buying), reflecting reward-related displacement activity. Intended self-isolation related to FFFS, but also low behavioural inhibition system (related to anxiety) scores. Older people reported themselves less likely to self-isolate. Conclusions Interventions need to consider individual differences in psychological factors in behaviour change, and we discuss relevant literature to inform policy makers and communicators. Statement of contribution What is already known on this subject? Reinforcement sensitivity theory (RST) personality systems can influence perception of persuasive health messages. However, there is limited evidence for their direct effects on health concerns and behaviours, and none relating to specific infectious diseases. What does this study add? Reward reactivity (RR) is associated with concern about impact of coronavirus on the NHS and other social infrastructures, indicating the motivation to take positive-approach action despite worry/anxiety. Personal safety concerns are related to fight-flight-freeze system traits (FFFS, reflecting fear/avoidance). Intended self-isolation related to FFFS, but also low behavioural inhibition system (related to anxiety) scores. Older people reported themselves less likely to self-isolate. Results suggest psychological conflict: between the urge to stay safe (FFFF-related) and the desire to maintain a normal, pleasurable life (RR-related). Ways of ameliorating conflict may include maladaptive behaviours (panic buying), reflecting reward-related displacement activity.

Organizational Culture and COVID-19

Abstract: COVID-19 and the large scale social and economic shock which it bought has already profoundly transformed organisational cultures Well known symbols of organisational life such as open plan workplaces filled with people wearing suits have been replaced by Perspex screens and personal protective equipment Rituals such as water cooler chat have been replaced with zoom calls The underlying values and assumptions of many organisations seem to have shifted from exploration and creativity towards safety and resilience This profound change represents a major challenge for managers They are asking themselves how they can build a company culture when everyone is working from home (Howard-Greenville, 2020) But it also represents a significant opportunity for researchers to investigate how such a large scale transition in society unsettles organisational culture and how those cultures might adapt

Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling

Abstract: Visual analytics usually deals with complex data and uses sophisticated algorithmic, visual, and interactive techniques supporting the analysis. Findings and results of the analysis often need to be communicated to an audience that lacks visual analytics expertise. This requires analysis outcomes to be presented in simpler ways than that are typically used in visual analytics systems. However, not only analytical visualizations may be too complex for target audiences but also the information that needs to be presented. Analysis results may consist of multiple components, which may involve multiple heterogeneous facets. Hence, there exists a gap on the path from obtaining analysis findings to communicating them, within which two main challenges lie: information complexity and display complexity. We address this problem by proposing a general framework where data analysis and result presentation are linked by story synthesis, in which the analyst creates and organises story contents. Unlike previous research, where analytic findings are represented by stored display states, we treat findings as data constructs. We focus on selecting, assembling and organizing findings for further presentation rather than on tracking analysis history and enabling dual (i.e., explorative and communicative) use of data displays. In story synthesis, findings are selected, assembled, and arranged in meaningful layouts that take into account the structure of information and inherent properties of its components. We propose a workflow for applying the proposed conceptual framework in designing visual analytics systems and demonstrate the generality of the approach by applying it to two diverse domains, social media and movement analysis.