Inclusion Inc

Design systemic equity and diversity into your organization Inclusion, Inc: How to Design Intersectional Equity into the Workplace moves beyond having tough conversations to deliver an innovative and proven approach to organizational diversity. Eschewing the “mindset-first” approach taken by many diversity, equity, and inclusion (DEI) programs, author and GEN founder Sara Sanford focuses on countering the systemic barriers that abet inequity by adjusting “cultural levers” to facilitate organization-wide change. Inclusion, Inc offers sustainable and cost-effective solutions that yield real, measurable returns, supported by: Data from thousands of surveys and interviews with executive-level changemakers. Case studies from GEN-certified organizations. Innovations drawn directly from the latest in behavioral economics and design-centered thinking. Perfect for business leaders, human resources and DEI professionals, and scholars and students of business, Inclusion, Inc will also prove invaluable to underrepresented employees and their allies seeking real, evidence-based solutions to the dilemma they frequently face: assimilate, or leave.

In decision theory there are basically two appr~hes to the modeling of individual choice: one is based on an absolute representation of preferences leading to a ntDnerical expression of preference intensity. This is utility theory. Another approach is based on binary relations that encode pairwise preference. While the former has mainly blossomed in the Anglo-Saxon academic world, the latter is mostly advocated in continental Europe, including Russia. The advantage of the utility theory approach is that it integrates uncertainty about the state of nature, that may affect the consequences of decision. Then, the problems of choice and ranking from the knowledge of preferences become trivial once the utility function is known. In the case of the relational approach, the model does not explicitly accounts for uncertainty, hence it looks less sophisticated. On the other hand it is more descriptive than normative in the first stand because it takes the pairwise preference pattern expressed by the decision-maker as it is and tries to make the best out of it. Especially the preference relation is not supposed to have any property. The main problem with the utility theory approach is the gap between what decision-makers are and can express, and what the theory would like them to be and to be capable of expressing. With the relational approach this gap does not exist, but the main difficulty is now to build up convincing choice rules and ranking rules that may help the decision process.

Key issues in applied and fundamental research related to Fuzzy Logic and Intelligent Technologies in the nuclear industry and related fields were addressed by the above workshop. The papers in this volume were carefully selected from a large number of contributions, and cover applications in radiation protection, nuclear safety (human factors and reliability), safeguards, nuclear power plant control, decision making and nuclear reactor control. The papers are categorised into three groups, namely mathematics (basic tools for the treatment of fuzzy logic), engineering (knowledge-based engineering, expert systems, etc.) and nuclear science.

This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

Bacteria and Intracellularity clearly demonstrates that cellular microbiology as a field has reached maturity, extending beyond the strictly cellular level to infections of various organs and tissues. Decades of intense investigation into host-bacterial pathogen interactions have highlighted common concepts in intracellularity but also very diverse mechanisms underlying the various infections produced by bacteria. This book offers a wide-ranging look at the latest studies, including: foodborne pathogens, including how, when, and where bacteria interact with the gut and its microbiota infections of the urogenital tract, endothelial barriers, and the nervous system major advances in work with Mycobacterium tuberculosis and M. leprae subcellular microbiology, including metabolism of infected cells, nuclear biology, and microRNAs endosymbionts, in particular the latest work with Wolbachia and its effect on insect transmission of viral pathogens research into cell autonomous defense pathways that has led to major insights into immunology and innate immunity the latest developments in technology, for the next steps in the study of intracellularity All facets of cellular physiology, within the entire scope of cells and host tissues, can be targeted by pathogens. This book offers to researchers, students, and laboratorians a valuable overview of the state of current research into the cellular microbiology of host-pathogen interactions.

Practical, hands-on strategies to increase inclusion, diversity, and equity in your workplace In Impactful Inclusion Toolkit: 52 Activities to Help You Learn and Practice Inclusion Every Day in the Workplace, accomplished diversity, equity, and inclusion (DEI) strategist and leader Yvette Steele delivers a collection of practical and hands-on exercises that encourage and promote inclusion in the workplace. The exercises emphasize the development of key inclusive behaviors, including self-knowledge, connecting with others, creating new habits, and experiencing other cultures. In the book, you’ll find: 52 behaviors to practice during the year that will empower you to be more inclusive in the real world Concrete instructions regarding how to become more inclusive, rather than just high-level information about inclusivity generally Actionable strategies to help drive change in your organization and manage the discomfort that sometimes exists around DEI issues An effective and practical resource for anyone who wants to be more inclusive. Frontline and knowledge workers can empower themselves to drive change with weekly activities and resources. DEI and HR professionals, company founders, owners, managers, and other business leaders can better support staff on their inclusion journey. The Impactful Inclusion Toolkit is an essential addition to DEI strategies of any organization whether they are active or aspire to be more inclusive.

Fundamentals of Fuzzy Sets covers the basic elements of fuzzy set theory. Its four-part organization provides easy referencing of recent as well as older results in the field. The first part discusses the historical emergence of fuzzy sets, and delves into fuzzy set connectives, and the representation and measurement of membership functions. The second part covers fuzzy relations, including orderings, similarity, and relational equations. The third part, devoted to uncertainty modelling, introduces possibility theory, contrasting and relating it with probabilities, and reviews information measures of specificity and fuzziness. The last part concerns fuzzy sets on the real line - computation with fuzzy intervals, metric topology of fuzzy numbers, and the calculus of fuzzy-valued functions. Each chapter is written by one or more recognized specialists and offers a tutorial introduction to the topics, together with an extensive bibliography.

The two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in March 2012. The 118 papers published in these proceedings were carefully reviewed and selected from 293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management of production systems, hybrid artificial intelligent systems for ordinal regression, hybrid metaheuristics for combinatorial optimization and modelling complex systems, hybrid computational intelligence and lattice computing for image and signal processing and nonstationary models of pattern recognition and classifier combinations.