Leveraging Publicly Available Information to Analyze Information Operations

Traditionally, a significant part of assessing information operations (IO) relies on subject matter experts’ time- intensive study of publicly available information (PAI). Now, with massive amounts PAI made available via the Internet, analysts are faced with the challenge of effectively leveraging massive quantities of PAI to draw meaningful conclusions. This paper presents an automated method for collecting and analyzing large amounts of PAI from China that could better inform assessments of IO campaigns. We implement a multi-model system that involves data acquisition via web scraping and analysis using natural language processing (NLP) techniques with a focus on topic modeling and sentiment analysis. After conducting a case study on China’s current relationship with Taiwan and comparing the results to validated research by a subject matter expert, it is clear that our methodology is valuable for drawing general conclusions and pinpointing important dialogue over a massive amount of PAI.

Challenges of Adopting DevOps for Combat Systems Development Environment

The Department of Defense (DoD) is often exhorted to adopt best practices from industry, and more recently, innovation in software development as exemplified by Silicon Valley. Yet, the DoD is vastly different from industry in multiple aspects, and adoption of such practices is not as straightforward as in industry. This article investigates the challenges of adopting Development and Operations (DevOps) in the U.S. Navy for combat systems. The authors conducted interviews of multiple subject matter experts in the Navy and DoD familiar with software development, DevOps, and the DoD’s acquisition processes. The observations collected from the interviews were organized and classified into either organizational, process, regulatory challenges, and technical challenges. The majority of the challenges cited were nontechnical challenges dealing with regulations, organization culture, and process. Knowledge of the challenges could help acquisition leaders in planning for, and adapting DevOps to, the Navy’s acquisition process to improve DoD’s software development and maintenance processes.

Use of Qualitative Research to Generate a Function for Finding the Unit Cost of Software Test Cases

In this article, we demonstrate a novel use of case research to generate an empirical function through qualitative generalization. This innovative technique applies interpretive case analysis to the problem of defining and generalizing an empirical cost function for test cases through qualitative interaction with an industry cohort of subject matter experts involved in software testing at leading technology companies. While the technique is fully generalizable, this article demonstrates this technique with an example taken from the important field of software testing. The huge amount of software development conducted in today's world makes taking its cost into account imperative. While software testing is a critical aspect of the software development process, little attention has been paid to the cost of testing code, and specifically to the cost of test cases, in comparison to the cost of developing code. Our research fills the gap by providing a function for estimating the cost of test cases.

Empirical investigation of risk management practices

In risk management research, dealing with known risks and helping companies foresee new risks are areas for subject matter experts. In practice, risk management is often perceived as a set of formal tools and procedures that must be delegated to the professionals. Despite this overall perception of risk, general managers, department managers, and other senior or line managers in organizations deal with questions associated with risk on a daily basis. They are, therefore, sometimes—even without consciously realizing it—involved in risk management practices. This article aims to analyze 'managers' involvement in risk management by empirically exploring how managers identify, assess, and respond to risks. Based on thematic analysis of observational and interview data, management practices used to manage risks were identified, and risk management as a non-linear process that is anchored on the strategic and operational levels and supported by learning from failures was defined. Two different ways of risk management can co-exist in an organization as a result of formal Enterprise Risk Management implementation.

Survey Use to Validate Engineering Methodology and Enhance System Safety

Surveys and the resulting data provide powerful insights to an item or concept being assessed. Not only do they garner feedback that can be used to enhance the item, but, in the instance of this article, they can enhance the validity of positive change via novel concepts prior to spending the time and money in incorporating these concepts and running the risk of negligible meaningful return. In an effort to ensure the validity of proposed novel methods in a design engineering context, a survey was developed and administered to engineering subject matter experts. This was done to not only ensure that the proposed methods would be viable if implemented but gave confidence in the results of the research that drove the method development. This assessment activity served as a risk reduction activity to ensure smooth implementation of the methods from both an efficiency standpoint and, most importantly, as part of maximizing system safety. This paper discusses the composition and considerations of the survey administered in the research study, in addition to the survey results with the intention of providing a format for others in a similar context to glean from and, if practical, replicate the method.

AN INTEGRATED FUZZY MCDM MODEL FOR EVALUATION AND SELECTION OF A SUITABLE TUGBOAT

Tugboats are of vital importance in ports where a significant portion of world trade takes place. Selection of a tugboat that suitable for different operations in a port is a challenging problem that requires many different criteria to be evaluated at the same time. This selection requires high experience as well as technical knowledge of the tugboats and the operations to be carried out. In the present paper, an integrated model for evaluation and selection of tugboats is given. Based on the statistical data available in the study, assessment of the effect of different criteria on different harbour tugboats categorized according to the propulsion systems were carried out. The criteria for the tugboat alternatives were assessed through a questionnaire by subject-matter-experts containing comparative technical, financial and operational questions. The weights of each criteria were calculated using fuzzy Shannon’s entropy and fuzzy TOPSIS was utilized to rank the alternatives. Finally, the most suitable tugboat according to propulsion system was selected.

Remote Drilling Solution Delivers Consistency with the Use of an Automated Drilling Director: Case Studies from Kuwait

The Automated Drilling Director, a software application for drilling automation, integrates a physics-based model of the drilling system with machine learning and optimization algorithms to project the well path, monitor collision risk, manage vibrations, and control steering in real time automatically. With "intelligent" rotary steerable systems (RSSs), these steering decisions can be downlinked directly to the tool, thus, fully closing the loop around steering decision-making. Implementation of the Automated Drilling Director within a remote drilling center (RDC) enables the drilling operations to be conducted remotely and effectively with less rig site personnel. The resulting decisions are consistent and reliable, while a team of subject matter experts (SMEs) monitor the operations to optimize well assets, ensuring that the pre-job design of service (DoS) is executed properly. The validation of this innovative technology and approach in Kuwait, amongst others, opens the door to a new way of doing business, where resources, experience, and data are combined in the most efficient manner to improve consistency, as well as to maximize the value of the operators’ assets.

Survivorship for Individuals Living with Advanced and Metastatic Cancers: National Cancer Institute Meeting Report

An important and often overlooked subpopulation of cancer survivors is individuals who are diagnosed with or progress to advanced or metastatic cancer. Living longer with advanced or metastatic cancer often comes with a cost of burdensome physical and psychosocial symptoms and complex care needs, however research is limited on this population. Thus, in May 2021, the National Cancer Institute convened subject matter experts, researchers, clinicians, survivors, and advocates a for a 2-day virtual meeting. The purpose of this report is to provide a summary of the evidence gaps identified by subject matter experts and attendees and key opportunities identified by NCI in five research areas: epidemiology and surveillance, symptom management, psychosocial research, healthcare delivery, and health behaviors. Identified gaps and opportunities include the need to develop new strategies to estimate the number of individuals living with advanced and metastatic cancers, understand and address emerging symptom trajectories, improve prognostic understanding and communication between providers, patients, and caregivers, develop and test models of comprehensive survivorship care tailored to these populations, and assess patient and provider preferences for health behavior discussions throughout the survivorship trajectory. To best address the needs of individuals living with advanced and metastatic cancer and to deliver comprehensive evidence-based quality care, research is urgently needed to fill evidence gaps, and it is essential to incorporate the survivor perspective. Developing such an evidence base is critical to inform policy and practice.

TextQ—A User Friendly Tool for Exploratory Text Analysis

As the amount of textual data available on the Internet grows substantially each year, there is a need for tools to assist with exploratory data analysis. Furthermore, to democratize the process of text analytics, tools must be usable for those with a non-technical background and those who do not have the financial resources to outsource their data analysis needs. To that end, we developed TextQ, which provides a simple, intuitive interface for exploratory analysis of textual data. We also tested the efficacy of TextQ using two case studies performed by subject matter experts—one related to a project on the detection of cyberbullying communication and another related to the user of Twitter for influence operations. TextQ was able to efficiently process over a million social media messages and provide valuable insights that directly assisted in our research efforts on these topics. TextQ is built using an open access platform and object-oriented architecture for ease of use and installation. Additional features will continue to be added to TextQ, based on the needs and interests of the installed base.

Ethical implications of procedural or protocol adjustments to clinical research involving the participation of human subjects during the COVID-19 pandemic

The current coronavirus disease 2019 (COVID-19) pandemic has led to essential adjustments in clinical research involving human subjects. The pandemic is substantially affecting most procedures of ongoing, as well as new clinical trials related to diseases other than COVID-19. Procedural changes and study protocol modifications may significantly impact ethically salient fundamentals, such as the risk-benefit profile and safety of clinical trial participants, which raise key ethical challenges the subject-matter experts must face. This article aims to acquaint a wide audience of clinical research professionals, ethicists, as well as the general public interested in this topic with the legal, ethical and practical considerations in the field of clinical trials during the COVID-19 pandemic and to support the clinical researchers and study sponsors to fulfil their responsibilities in conducting clinical trials in a professional way that does not conflict with any legal or ethical obligations.