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Construction projects operate within a risky environment. It materialises as delays, which must be prevented or mitigated to avoid becoming amplified into late completion. But previous research has largely ignored how structural complexity of the underlying network schedules shapes their resilience.

This research hypothesizes that schedule structure plays a vital role in its ability to absorb or propagate delays. The impact of activity-level local risk factors is represented via activity duration distributions, i.e. probability density functions. The impact of project-level global risk factors is more challenging because they arise via interactions between multiple activities.

Modelling resilience to local and global risk factors can employ a matrix approach. Simulation shows that delay amplification depends on local structure, not global complexity.

Criticality had merely relied upon a single deterministic analysis of a network schedule to categorize activities as having zero or nonzero float from fixed relative duration a dependency structure. Repeated probabilistic analysis with sampled durations gives criticality indices of activities. This research limits itself to network schedules with point-wise relations between activities.

Managers can use this knowledge to develop schedules that protect their expected project duration with a suitable structural complexity.

Contributions to the body of knowledge are as follows: It converts the dependency structure into a reachability matrix and adds a correlation matrix to capture how the predecessor performance may impact its successors. It correlates criticality of activities with structural complexity indices. And it ranks activities objectively by their cruciality, i.e. potential delay propagation.

Purpose – The purpose of this research is to synthesize modified thermoplastic sago starch (TPS) through in-situ mechanism by reacting sago starch with diphenylmethanediisocyanate (MDI) and castor oil simultaneously, resulting in a more homogenous and finer-sized polyurethane prepolymer (PUP).

Design/Methodology/Approach – The methods used were Thermal Gravimetric Analysis (TGA) and Differential Scanning Calorimetry (DSC) for thermal characterization and stability of PUP, modified TPS non-extracted and extracted with toluene and water.

Findings – TGA test results presented shows that PUP begins to decompose thermally at a temperature of 300–500 °C. Weight loss occurs rapidly between these temperatures and is completely discharged at a temperature of 500°C, which is called weight loss transition.

Research Limitations/Implications – When extracted with toluene and a water solvent, the melting point and latent heat of fusion slightly decreased; however, it is still higher than the original value of sago. In terms of thermal stability, modified TPS decomposes and loses weight at 150–200 °C in small quantities, continues with weight loss rapidly, and is completely discharged at 500°C. The thermal stability is considered high; thus, modified TPS application can be varied.

Practical Implications – DSC analysis and TGA shows that modified TPS has good thermal characteristics and thermal stability. Modified TPS has a melting point of 104.69°C, and the latent heat of fusion (ΔH) is 234.27 J/g. This value is close to the PUP melting point and latent heat of fusion, which reveals the formation of cross-link between the starch and PUP.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

The objective of the chapter is to provide an integrative appraisal of recent participatory research projects with children on violence and maltreatment conducted by members of the COST Action CA 19106 working group on children's participation (WG3) and their colleagues to identify what is working well and what needs to change in future research. The evaluation of research examples clustered around four key questions: Why, when, how and how much do children participate in research? Data were collected using a unified tool designed to characterise participatory research, which was distributed among WG3 members. In addition, chapters of the current book were another source of data about participatory research. Overall, data on 19 studies involving 46,761 children were collected and analysed using Shier's matrix. Findings show that most studies (n = 10) engaged children as consultants to adults in data collection, whereas a few studies (n = 5) demonstrated a more children-led research approach. The analysis uncovered specific areas where more progress is required, including engaging children in decisions about the research topic, involving young children, utilising methods that are more natural and familiar to children, and gaining children's reflective accounts about their participation experience. The authors encourage scholars to publish their work to advance evidence-based knowledge and skills in participatory research with children about sensitive topics.

Videos of police abuse are often spread through technology, raising questions around how perceptions of police are impacted by these images, especially for 18–24-year-olds who are constantly “logged on.” Limited research investigates the impact of social media on attitudes toward police accounting for age and race. The present study utilizes 19 in-depth interviews with a diverse sample of urban college students who regularly use social media in order to understand how they have been impacted by this content. The findings suggest the necessity of using an intersectional framework to understand the impact of tech-witnessed violence. While no gender differences were uncovered, racial differences did surface. White participants described being minimally influenced by videos of police misconduct, rationalizing it as a “few bad apples.” In contrast, participants of color, except those with family members in law enforcement, described being negatively impacted. Viral content contributed to negative opinions of police, emotional distress, and fears of victimization. Ultimately, videos of police brutality do not impact young populations equally. Instead, they are comparatively more harmful to young people of color who spend more time on social media, can envision themselves as the victims, and experience feelings of fear, despair, and anger after watching these videos.

This article outlines the theoretical foundations of the research contributions of this edited collection about “Diversity and Discrimination in Research Organizations.” First, the sociological understanding of the basic concepts of diversity and discrimination is described and the current state of research is introduced. Second, national and organizational contextual conditions and risk factors that shape discrimination experiences and the management of diversity in research teams and organizations are presented. Third, the questions and research approaches of the individual contributions to this edited collection are presented.