Systematic Review of Risks in Domestic and Global IT Projects

The development of information technology projects is no longer limited to the domestic sphere. This study identifies the differentiation of risk categories between global and domestic projects through an exploratory research carried out by means of a systematic literature review. 1367 risks were identified in 37 articles and classified within 22 categories. The major concern regarded in domestic project management was the client (external risk) and scope (internal risk) and, in global project management, the psychic distance (external) and coordination and control (internal). The main difference between the risk categories for each project type refers to the psychic distance category, which was identified almost exclusively in global projects, thus making the external risks more relevant than those in domestic projects. On the other hand, it makes risks such as client, supplier and stakeholders be underestimated. The results indicate that project managers should focus on different risks depending on the type of IT project: global or domestic.

User Generated Content for Site Based Training in Virtual Reality

Objectives/Scope Through a partnership with Global Projects and the ExxonMobil IT, we set out to change the way enabling enhanced site specific operator training and model reviews are done on large complex models. The concept was to have the ability to view and navigate complex green-field 3D CAD models in VR (virtual reality) technology to aid in training, model reviews, procedure development, rounds development, maintenance planning and execution, emergency response planning / drills, and project planning. The automated toolset can be used to conduct model reviews followed by training and preparing operators for commissioning before and after site construction is completed. Methods, Procedures, Process Leveraging the 3D CAD files from Engineering Procurement & Construction (EPC) contractors, the feature set allows the ability to create a fully textured 3D Model walk-through (annotated model review), and a content creation application to easily create user generated training scenarios (similar to PowerPoint drag and drop). In the past few months, 20 onsite stations were setup and over 100 first and second line supervisors and operators leveraged the toolset. Baseline metrics were captured with an overwhelming success. Ongoing metrics collections will continue for several months to drive further adjustments on the toolset to ensure high value capture. This toolset, once fully refined, will allow other capital & global projects the ability to train operators prior to the unit being built and ongoing for operations activities bringing pieces of the Digital Twin concept to life. Results, Observations, Conclusions Technical Benefits Business Benefit Novel/Additive Information

Gene Signature-Based Drug Repositioning

With the advent of dynamical omics technology, especially the transcriptome and proteome, a huge amount of data related to various diseases and approved drugs are available under multi global projects or researches with their interests. These omics data and new machine learning technology largely promote the translation of drug research into clinical trials. We will cover the following topics in this chapter. 1) An introduction to the basic discipline of gene signature-based drug repurposing; 2) databases of genes, drugs and diseases; 3) gene signature databases of the approved drugs; 4) gene signature databases of various diseases; 5) gene signature-based methods and tools for drug repositioning; 6) new omics technology for drug repositioning; 7) drug repositioning examples with reproducible code. And finally, discuss the future trends and conclude.

Knowledge Graphs

Knowledge graphs embody the idea of "everything connected to everything else." As attractive as this seems, there is a substantial gap between the dream of fully interconnected knowledge and the reality of data that is still mostly siloed, or weakly connected by shared strings such as taxonomic names. How do we move forward? Do we focus on building our own domain- or project-specific knowledge graphs, or do we engage with global projects such as Wikidata? Do we construct knowledge graphs, or focus on making our data "knowledge graph ready" by adopting structured markup in the hope that knowledge graphs will spontaneously self-assemble from that data? Do we focus on large-scale, database-driven projects (e.g., triple stores in the cloud), or do we rely on more localised and distributed approaches, such as annotations (e.g., hypothes.is), "content-hash" systems where a cryptographic hash of the data is also its identifier (Elliott et al. 2020), or the growing number of personal knowledge management tools (e.g., Roam, Obsidian, LogSeq)? This talk will share experiences (the good, bad, and the ugly) as I have tried to transition from naïve advocacy to constructing knowledge graphs (Page 2019), or participating in their construction (Page 2021).

The Misogyny of Authoritarians in Contemporary Democracies

Contemporary democracy in multiple countries has been under assault from what has been variously called right-wing populism, authoritarian populism, cultural majoritarianism, new nativism, new nationalism, quasi-fascism, and neo-fascism. While the authoritarian behaviors of several electorally legitimated leaders in these countries have been in focus, their misogyny is seen as merely an incidental part of their personality. This article highlights the centrality of misogyny in legitimating the political goals and regimes of a set of leaders in contemporary democracies—Trump, Modi, Bolsonaro, Duterte, and Erdogan (all but Trump are still in power)—in countries from across Global North/South, non-West/West, with mixed populations and different majority religions. The argument proceeds as follows. First, I clarify the conceptualization of misogyny and explain why it matters. Second, I demonstrate the substantive misogyny of political leaders who are/have been heads of hegemonic right-wing political projects in five contemporary democracies (Trumpism, Modification, Bolsonarismo, Dutertismo, and Erdoganism). Third, I put forward three systematic ways in which misogyny works as an effective political strategy for these projects, by enabling a certain politics of identity to demonize opponents as feminine/inferior/anti-national, scavenging upon progressive ideas (rather than rejecting them) and distorting them, and sustaining and defending a militarized masculinist approach to policy and delegitimizing challenges to it. This article, thus, contributes to the literature on how masculinity, misogyny, and gender norms more broadly intersect with political legitimacy, by arguing for understanding the analytic centrality of misogyny to the exercise of political power in multiple global projects.

Revitalizing Infrastructure Sector to Accelerate Economic Recovery in India

Infrastructure has a strong, positive correlation with economic growth, making it a preferred instrument for the government to achieve post-pandemic economic recovery. Other large economies too are similarly investing in infrastructure. Indian projects will thus need to compete with other global projects for financing, investors, technology and developers. It is therefore necessary to improve the attractiveness and marketability of India’s infrastructure projects by reducing risks and improving visibility of projects. With increased competition and changes in the environment, the risks of future cash flows from infrastructure investments have increased manifold. This paper examines the perceived risks in the entire lifecycle of infrastructure projects from infrastructure planning to project planning, bidding, implementation and operations along with best practices in each area. A long-term vision for the infrastructure development will provide visibility to projects for the current National Infrastructure Pipeline. The development of the entire project delivery ecosystem requires initiatives in capacity building in the technical, financial and entrepreneurial resources, and engagement with project affected people. Other desirable outcomes of infrastructure investments, for example, job creation, sustainability and reduction in disparity are also discussed. The paper presents a perspective for revitalizing infrastructure development in India so that its efficacy for post-pandemic economic recovery is enhanced.

The Smart Systems' Role In the Infrastructure's Integrated Management For Housing Projects

Many contemporary economic and social drivers have enabled the introduction of sensor network technologies, computing and communication systems in urban infrastructure and contemporary housing projects with the aim of achieving integration between infrastructure management. As a result, the current study deals with a topic that has not been dealt with through previous studies, theses and theses in an accurate and required manner. Therefore, the aim of the research was to clarify the role of smart systems in achieving integrated management by building a comprehensive theoretical framework to be a research problem (the need for a comprehensive theoretical framework on the role of smart systems in achieving integrated management of infrastructure infrastructure related to housing projects). This goal is achieved by adopting a descriptive analytical approach that includes several stages, the first of which is the analysis of multiple studies and the extraction of the main vocabulary represented in (the basic elements of infrastructure intelligence, planning, design, monitoring and observation of Smart infrastructure). Second, applying these vocabulary to a number of global projects, then discussing the results of the practical study, and presented final conclusions , to be a knowledge base that can be used and applied to future projects.