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Exploring Intersectionality and Women in STEM [Multiple-component retail product]

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Exploring Intersectionality and Women in STEM
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Püsilink: https://www.kriso.ee/db/9798369311226.html
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A persistent challenge infects the vast setting of academic pursuits; the enduring gender gap in science, technology, engineering, and mathematics (STEM). Despite incremental progress, women continue to face formidable obstacles, ranging from entrenched stereotypes to institutional oversights. The urgency of addressing this issue cannot be overstated, as evidenced by UNESCO's revelation that less than 30% of the world's researchers and scientists are women. Exploring Intersectionality and Women in STEM seizes this pivotal moment, unraveling the complexities of the gender gap in STEM and daring to propose transformative solutions. As we delve into the significant part, we uncover multifaceted challenges hindering women's advancement in STEM. Exploring Intersectionality and Women in STEM exposes the stark realities of gender biases in education, workplace dynamics, and societal expectations. The call to action is clear: we must confront gender stereotypes and reevaluate institutional mechanisms with a keen gender perspective. This book does not merely diagnose the problem; it catalyzes change, offering a compelling roadmap to overcome obstacles and empower women in STEM. This book is not just an analysis of disparities; it is a dynamic and initiative-taking guide for researchers, STEM students, and practitioners. By immersing oneself in its pages, the reader becomes an agent of change, armed with insights into life sciences, physical sciences, engineering, mathematics, computer science, and health sciences. Through a transdisciplinary lens, the book illuminates a path toward a more inclusive and equitable future.
Luz Idalia Balderas is currently a professor at Tamaulipas Autonomous University in Mexico. Sanju Mishra Tiwari has worked as a Research Associate for a sponsored research project Intelligent Real time Situation Awareness and Decision Support System for Indian Defense funded by DRDO in Department of Computer Applications, National Institute of Technology, Kurukshetra. Her current research interests include Knowledge Based Systems, Ontologism, Intelligent Decision Support, Semantic/ Intelligent Query Search Engines, Intrusion Detection, Swarm Intelligence. She has to-date published 19 research papers one 1 book chapter with international and national publishers. She has 10 years experience in teaching field and 2 years for research field for developing ontologies. She is the member of IEEE. She is working as an organizing committee member of MIR Labs, USA. Elizabeth Verdugo is currently a professor at Pontifícia Universidade Católica do Rio de Janeiro in Brazil. Gina Maestre-Góngora is an Associate Professor in Universidad de Antioquia at Medellin, Colombia. With experience in Information Technology Management and Digital Transformation. She received a Ph.D. degree in systems engineering and computer science, a masters degree in engineering, and a bachelors degree in systems engineering. Currently is a Senior Researcher at the Ministry of Science, Technology, and Innovation of Colombia. Her research interests include smart cities, information technology management, data governance, enterprise architecture, and IT project management. Fernando Ortiz-Rodriguez is a Full Professor and Head of the Artificial Intelligence and Innovation Lab at Tamaulipas Autonomous University. He was the Executive Director at the International Institute of Studies (IIES). He created the First Business School in Tamaulipas, Mexico. He worked as the Information Technology Manager at Emerson Electric, where he developed more than 40 pieces of software, some of them used globally in Emerson and achieved technology convergence by implementing the first efforts on IoT and Industry 4.0. Fernando is a member of National Systems Researchers (SNI) Level 1 of the National Council of Science and Technology (CONACYT) and INDEX IT Advisor.