Despite a plethora of initiatives, policies, and procedures to increase their representation in STEM, women of color still remain largely underrepresented. In the face of institutional and societal bias, it is important to understand the various methods women of color use to navigate the STEM landscape as well as the role of their personal and professional identities in overcoming the systemic (intentional or unintentional) barriers placed before them. Overcoming Barriers for Women of Color in STEM Fields: Emerging Research and Opportunities is a collection of innovative research depicting the challenges of women of color professionals in STEM and identifying strategies used to overcome these barriers. The book examines the narrative of these difficulties through a reflective lens that also showcases how both the professional and personal lives of these women were changed in the process. Additionally, the text connects the process to the Butterfly Effect, a metamorphosis that brings about a dramatic change in character and perspective to those who go through it, which in the case of women of color is about rebirth, evolution, and renewal. While highlighting topics including critical race theory, institutional racism, and educational inequality, this book is ideally designed for administrators, researchers, students, and professionals working in the STEM fields.

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.

This unique and innovative book provides guidelines, procedures and information for the offshore renewables and oil & gas sectors with regard to the requirements for metocean at each stage of the life cycle of a project. It also provides details about metocean processes and activities that ensure these requirements are addressed. It therefore presents a better understanding of what metocean is all about and how optimum use of data and information can benefit offshore development activities. Reference is made to appropriate standards as and when applicable and it will therefore complement existing standards. Written by an expert with many years practical experience, the book provides information about the development of metocean, the rationale behind it and the key data and procedures that should be utilised and followed to enable more profitable offshore operations.

Despite a plethora of initiatives, policies, and procedures to increase their representation in STEM, women of color still remain largely underrepresented. In the face of institutional and societal bias, it is important to understand the various methods women of color use to navigate the STEM landscape as well as the role of their personal and professional identities in overcoming the systemic (intentional or unintentional) barriers placed before them. Overcoming Barriers for Women of Color in STEM Fields: Emerging Research and Opportunities is a collection of innovative research depicting the challenges of women of color professionals in STEM and identifying strategies used to overcome these barriers. The book examines the narrative of these difficulties through a reflective lens that also showcases how both the professional and personal lives of these women were changed in the process. Additionally, the text connects the process to the Butterfly Effect, a metamorphosis that brings about a dramatic change in character and perspective to those who go through it, which in the case of women of color is about rebirth, evolution, and renewal. While highlighting topics including critical race theory, institutional racism, and educational inequality, this book is ideally designed for administrators, researchers, students, and professionals working in the STEM fields.

Sophie Germain taught herself mathematics by candlelight, huddled in her bedclothes. Ada Byron Lovelace anticipated aspects of general-purpose digital computing by more than a century. Cora Ratto de Sadosky advanced messages of tolerance and equality while sharing her mathematical talents with generations of students. This captivating book gives voice to women mathematicians from the late eighteenth century through to the present day. It documents the complex nature of the conditions women around the world have faced--and continue to face--while pursuing their careers in mathematics. The stories of the three women above and those of many more appear here, each one enlightening and inspiring. The earlier parts of the book provide historical context and perspective, beginning with excursions into the lives of fifteen women born before 1920. Included are histories of collective efforts to improve women's opportunities in research mathematics. In addition, a photo essay puts a human face on the subject as it illustrates women's contributions in professional associations. More than eighty women from academe, government, and the private sector provide a rich melange of insights and strategies for creating workable career paths while maintaining rewarding personal lives. The book discusses related social and cultural issues, and includes a summary of recent comparative data relating to women and men in mathematics and women from other sciences. First-person accounts provide explicit how-tos; many narratives demonstrate great determination and perseverance. Talented women vividly portray their pleasure in discovering new mathematics. The senior among them speak out candidly, interweaving their mathematics with autobiographical detail. At the beginning of a new century, women at all stages of their careers share their outlooks and experiences. Clear, engaging, and meticulously researched, Complexities will inspire young women who are contemplating careers in mathematics and will speak to women in many fields of endeavor and walks of life.