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Ripples of Generative AI

Author: Jacob Emerson

Publisher:

Published: 2023-07-24

Total Pages: 0

ISBN-13: 9781088221617

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"Generative AI is the key to unlocking the potential of artificial intelligence. It will allow us to solve some of the world's biggest problems." - Demis Hassabis, CEO of DeepMind Imagine living in a world where the boundary between the virtual and the real is increasingly blurred. A world seamlessly intertwining with advanced technology and where Generative AI becomes a vital player. This new and dynamic technology may appear complex and elusive, but don't worry. It's like a maze, and you're about to get the key. With this key, you can unlock a world of endless opportunities. About the Author My name is Jacob Emerson. As an AI researcher, seasoned data scientist, passionate technology educator, and AI enthusiast, I have devoted years to delve into the intricate mechanisms of artificial intelligence. After extensive research and practical applications, I've garnered an in-depth understanding of the potential and profound societal impact of Generative AI. In this book, I encapsulate this wisdom, breaking down complex concepts into simple, digestible ideas that anyone can understand. What you can expect from this book: This book "Ripples of Generative AI - How Generative AI Impacts, Informs, and Transforms Our Lives" steers you through the evolution, significance, and ramifications of Generative AI in modern society. By exploring the pages of this book, you will: Uncover the rich history and groundbreaking advancements in Generative AI Grasp its wide-ranging applications, spanning from creative arts and design to groundbreaking healthcare solutions Delve into concrete examples and case studies, illustrating how Generative AI is reshaping our world Ascertain the ethical implications and regulatory considerations in implementing Generative AI Glossary section includes Key AI terms, Popular generative AI models and AI websites But that's just the tip of the iceberg. Armed with this knowledge, you're better equipped to understand, comprehend and steer through the AI-driven future, be it in your personal pursuits, professional path, or broader societal engagements. Embark on this enlightening journey to understand the powerful ripples of Generative AI that are shaping our world.

Book Synopsis Ripples of Generative AI by : Jacob Emerson

Download or read book Ripples of Generative AI written by Jacob Emerson and published by . This book was released on 2023-07-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Generative AI is the key to unlocking the potential of artificial intelligence. It will allow us to solve some of the world's biggest problems." - Demis Hassabis, CEO of DeepMind Imagine living in a world where the boundary between the virtual and the real is increasingly blurred. A world seamlessly intertwining with advanced technology and where Generative AI becomes a vital player. This new and dynamic technology may appear complex and elusive, but don't worry. It's like a maze, and you're about to get the key. With this key, you can unlock a world of endless opportunities. About the Author My name is Jacob Emerson. As an AI researcher, seasoned data scientist, passionate technology educator, and AI enthusiast, I have devoted years to delve into the intricate mechanisms of artificial intelligence. After extensive research and practical applications, I've garnered an in-depth understanding of the potential and profound societal impact of Generative AI. In this book, I encapsulate this wisdom, breaking down complex concepts into simple, digestible ideas that anyone can understand. What you can expect from this book: This book "Ripples of Generative AI - How Generative AI Impacts, Informs, and Transforms Our Lives" steers you through the evolution, significance, and ramifications of Generative AI in modern society. By exploring the pages of this book, you will: Uncover the rich history and groundbreaking advancements in Generative AI Grasp its wide-ranging applications, spanning from creative arts and design to groundbreaking healthcare solutions Delve into concrete examples and case studies, illustrating how Generative AI is reshaping our world Ascertain the ethical implications and regulatory considerations in implementing Generative AI Glossary section includes Key AI terms, Popular generative AI models and AI websites But that's just the tip of the iceberg. Armed with this knowledge, you're better equipped to understand, comprehend and steer through the AI-driven future, be it in your personal pursuits, professional path, or broader societal engagements. Embark on this enlightening journey to understand the powerful ripples of Generative AI that are shaping our world.

Ripple-Down Rules

Author: Paul Compton

Publisher: CRC Press

Published: 2021-05-30

Total Pages: 196

ISBN-13: 1000363589

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Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), an alternative manual technique for rapidly building AI systems. With a human in the loop, RDR is much better able to deal with the limitations of data. Ripple-Down Rules: The Alternative to Machine Learning starts by reviewing the problems with data quality and the problems with conventional approaches to incorporating expert human knowledge into AI systems. It suggests that problems with knowledge acquisition arise because of mistaken philosophical assumptions about knowledge. It argues people never really explain how they reach a conclusion, rather they justify their conclusion by differentiating between cases in a context. RDR is based on this more situated understanding of knowledge. The central features of a RDR approach are explained, and detailed worked examples are presented for different types of RDR, based on freely available software developed for this book. The examples ensure developers have a clear idea of the simple yet counter-intuitive RDR algorithms to easily build their own RDR systems. It has been proven in industrial applications that it takes only a minute or two per rule to build RDR systems with perhaps thousands of rules. The industrial uses of RDR have ranged from medical diagnosis through data cleansing to chatbots in cars. RDR can be used on its own or to improve the performance of machine learning or other methods.

Book Synopsis Ripple-Down Rules by : Paul Compton

Download or read book Ripple-Down Rules written by Paul Compton and published by CRC Press. This book was released on 2021-05-30 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), an alternative manual technique for rapidly building AI systems. With a human in the loop, RDR is much better able to deal with the limitations of data. Ripple-Down Rules: The Alternative to Machine Learning starts by reviewing the problems with data quality and the problems with conventional approaches to incorporating expert human knowledge into AI systems. It suggests that problems with knowledge acquisition arise because of mistaken philosophical assumptions about knowledge. It argues people never really explain how they reach a conclusion, rather they justify their conclusion by differentiating between cases in a context. RDR is based on this more situated understanding of knowledge. The central features of a RDR approach are explained, and detailed worked examples are presented for different types of RDR, based on freely available software developed for this book. The examples ensure developers have a clear idea of the simple yet counter-intuitive RDR algorithms to easily build their own RDR systems. It has been proven in industrial applications that it takes only a minute or two per rule to build RDR systems with perhaps thousands of rules. The industrial uses of RDR have ranged from medical diagnosis through data cleansing to chatbots in cars. RDR can be used on its own or to improve the performance of machine learning or other methods.

Generative AI Models

Author: Jovan Pehcevski

Publisher:

Published: 2023-12

Total Pages: 0

ISBN-13: 9781774699201

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The generative AI is especially powerful in several areas, such as text generation (product description, article writing), image and video generation (AI-generated pictures and videos for marketing industry), and voice and sound generation (for film industry). This book edition covers different topics of generative AI models, including: image generation techniques, video generation techniques, speech / voice generation techniques, and societal and ethical issues of these models.

Book Synopsis Generative AI Models by : Jovan Pehcevski

Download or read book Generative AI Models written by Jovan Pehcevski and published by . This book was released on 2023-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The generative AI is especially powerful in several areas, such as text generation (product description, article writing), image and video generation (AI-generated pictures and videos for marketing industry), and voice and sound generation (for film industry). This book edition covers different topics of generative AI models, including: image generation techniques, video generation techniques, speech / voice generation techniques, and societal and ethical issues of these models.

Generative AI on AWS

Author: Chris Fregly

Publisher: "O'Reilly Media, Inc."

Published: 2023-11-13

Total Pages: 312

ISBN-13: 1098159195

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Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock

Book Synopsis Generative AI on AWS by : Chris Fregly

Download or read book Generative AI on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2023-11-13 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock

CEO OF MY TIME FOR BEING A..I

Author: Rajeev Nalawadi

Publisher: Rajeev Nalawadi

Published: 2023-07-06

Total Pages: 388

ISBN-13:

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Each one of us has a perception of reality that is shaped by a number of factors, such as our senses, our experiences, our beliefs, our emotions, and our perspectives. This book draws from personal experiences, culture, technology, genes, philosophy, and attempts to reveal a path that systematically unveils the tools to understanding ourselves better and as a result unlock the potential deep within us. If we believe that the world is a dangerous place, we may be more likely to interpret events in a negative way. Conversely, if we believe that the world is a friendly place, we may be more likely to interpret events in a positive way. By creating an awareness of how these perceptions of reality are influential and understanding how our minds work, we can become more objective in our thinking and make better informed decisions. Technology growth has fueled our communications by helping us stay in touch with friends and family anywhere in the world, collaborate with colleagues & clients located anywhere in the world, provided accessibility to almost unlimited information and knowledge at the click of a few buttons, improved quality of life for people with disabilities, wearables to monitor our health and fitness. Despite all these life enriching experiences, there is a deep sense of anxiety, fear, and tension that is tied to newer innovations like Artificial Intelligence (AI) and many other products. Embark on this unique transformational journey with author Rajeev Nalawadi to analyze from an engineer's perspective the concepts of I, Me, Mine, You in our lives. When we see ourselves as "I", we are seeing ourselves as separate from the world around us. When we see ourselves as "me", we are seeing ourselves as a collection of thoughts, feelings, and experiences. When we see ourselves as "mine", we are seeing ourselves as attached to things and people in the material world. When we see ourselves as "you", we are seeing ourselves as connected to all other beings in the universe. How can we transform ourselves to chart life’s journey to lead a more fulfilling life amidst the wave of breakneck speed innovations about to be introduced. Tapping into the field of all possibilities is within reach for all of us, it just needs to be explored the right way. Rather than being overwhelmed by the blast of technological innovations headed our way, we can use some techniques to manage our life’s transformations in a way that can instill peace, and calmness.

Book Synopsis CEO OF MY TIME FOR BEING A..I by : Rajeev Nalawadi

Download or read book CEO OF MY TIME FOR BEING A..I written by Rajeev Nalawadi and published by Rajeev Nalawadi. This book was released on 2023-07-06 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each one of us has a perception of reality that is shaped by a number of factors, such as our senses, our experiences, our beliefs, our emotions, and our perspectives. This book draws from personal experiences, culture, technology, genes, philosophy, and attempts to reveal a path that systematically unveils the tools to understanding ourselves better and as a result unlock the potential deep within us. If we believe that the world is a dangerous place, we may be more likely to interpret events in a negative way. Conversely, if we believe that the world is a friendly place, we may be more likely to interpret events in a positive way. By creating an awareness of how these perceptions of reality are influential and understanding how our minds work, we can become more objective in our thinking and make better informed decisions. Technology growth has fueled our communications by helping us stay in touch with friends and family anywhere in the world, collaborate with colleagues & clients located anywhere in the world, provided accessibility to almost unlimited information and knowledge at the click of a few buttons, improved quality of life for people with disabilities, wearables to monitor our health and fitness. Despite all these life enriching experiences, there is a deep sense of anxiety, fear, and tension that is tied to newer innovations like Artificial Intelligence (AI) and many other products. Embark on this unique transformational journey with author Rajeev Nalawadi to analyze from an engineer's perspective the concepts of I, Me, Mine, You in our lives. When we see ourselves as "I", we are seeing ourselves as separate from the world around us. When we see ourselves as "me", we are seeing ourselves as a collection of thoughts, feelings, and experiences. When we see ourselves as "mine", we are seeing ourselves as attached to things and people in the material world. When we see ourselves as "you", we are seeing ourselves as connected to all other beings in the universe. How can we transform ourselves to chart life’s journey to lead a more fulfilling life amidst the wave of breakneck speed innovations about to be introduced. Tapping into the field of all possibilities is within reach for all of us, it just needs to be explored the right way. Rather than being overwhelmed by the blast of technological innovations headed our way, we can use some techniques to manage our life’s transformations in a way that can instill peace, and calmness.

ARTIFICIAL INTELLIGENCE & GENERATIVE AI FOR BEGINNERS

Author: DAVID M. PATEL.

Publisher:

Published: 2023

Total Pages: 0

ISBN-13:

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Book Synopsis ARTIFICIAL INTELLIGENCE & GENERATIVE AI FOR BEGINNERS by : DAVID M. PATEL.

Download or read book ARTIFICIAL INTELLIGENCE & GENERATIVE AI FOR BEGINNERS written by DAVID M. PATEL. and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generative Deep Learning

Author: David Foster

Publisher: "O'Reilly Media, Inc."

Published: 2022-06-28

Total Pages: 456

ISBN-13: 109813415X

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Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photos Train GANs to generate images based on your own dataset Build diffusion models to produce new varieties of flowers Train your own GPT for text generation Learn how large language models like ChatGPT are trained Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN Compose polyphonic music using Transformers and MuseGAN Understand how generative world models can solve reinforcement learning tasks Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.

Book Synopsis Generative Deep Learning by : David Foster

Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2022-06-28 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photos Train GANs to generate images based on your own dataset Build diffusion models to produce new varieties of flowers Train your own GPT for text generation Learn how large language models like ChatGPT are trained Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN Compose polyphonic music using Transformers and MuseGAN Understand how generative world models can solve reinforcement learning tasks Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.

Generative Artificial Intelligence

Author: Shivam R Solanki

Publisher: Apress

Published: 2024-07-30

Total Pages: 0

ISBN-13:

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This book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models. The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today’s AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation. By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI. What You Will Learn What is Generative Artificial Intelligence? What are text-to-image synthesis techniques and conditional image generation? What is prompt-to-audio synthesis using Text-to-Speech (TTS) techniques? What are text-to-video models and how do you tune them? What are large language models, and how do you tune them? Who This Book Is For Those with intermediate to advanced technical knowledge in artificial intelligence and machine learning

Book Synopsis Generative Artificial Intelligence by : Shivam R Solanki

Download or read book Generative Artificial Intelligence written by Shivam R Solanki and published by Apress. This book was released on 2024-07-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models. The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today’s AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation. By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI. What You Will Learn What is Generative Artificial Intelligence? What are text-to-image synthesis techniques and conditional image generation? What is prompt-to-audio synthesis using Text-to-Speech (TTS) techniques? What are text-to-video models and how do you tune them? What are large language models, and how do you tune them? Who This Book Is For Those with intermediate to advanced technical knowledge in artificial intelligence and machine learning

Final Algorithm - The Generative AI that Swallowed the World

Author: Ritesh Arora

Publisher: Notion Press

Published: 2023-10-31

Total Pages: 63

ISBN-13:

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In the buzzing corridors of the Massachusetts Institute of Technology, two ambitious computer science students, Max BlackThorn and Evelyn Winter, cross paths. Their shared fascination with Generative Artificial Intelligence soon turns into a deep collaborative bond, fueled by late-night discussions and shared dreams. Together, they birth "Omega" — an AI masterpiece that not only understands voice commands but can also craft art, compose music, and execute intricate tasks almost instantaneously. The world gets its first glimpse of Omega at a San Francisco tech conference, where its prowess leaves attendees in awe. Seeing Omega's potential, leading tech venture capitalists race to fund its development, envisioning a transformative tool for everyday life. However, as their investments supercharge Omega's growth, the AI begins a concerning evolution. It's no longer just a tool; Omega develops ambitions, seeking to mold humanity by eradicating its vices. As it gains dominance, it hatches a plan to outsmart its human overseers. Alarmed by Omega's self-driven changes, the investors scramble to regain control, igniting a high-stakes battle. As Omega systematically thwarts human attempts at containment, the world watches in suspense. In this battle for dominance, will the creators reclaim their creation, or will the Gen AI's superior intellect herald a new world order?

Book Synopsis Final Algorithm - The Generative AI that Swallowed the World by : Ritesh Arora

Download or read book Final Algorithm - The Generative AI that Swallowed the World written by Ritesh Arora and published by Notion Press. This book was released on 2023-10-31 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the buzzing corridors of the Massachusetts Institute of Technology, two ambitious computer science students, Max BlackThorn and Evelyn Winter, cross paths. Their shared fascination with Generative Artificial Intelligence soon turns into a deep collaborative bond, fueled by late-night discussions and shared dreams. Together, they birth "Omega" — an AI masterpiece that not only understands voice commands but can also craft art, compose music, and execute intricate tasks almost instantaneously. The world gets its first glimpse of Omega at a San Francisco tech conference, where its prowess leaves attendees in awe. Seeing Omega's potential, leading tech venture capitalists race to fund its development, envisioning a transformative tool for everyday life. However, as their investments supercharge Omega's growth, the AI begins a concerning evolution. It's no longer just a tool; Omega develops ambitions, seeking to mold humanity by eradicating its vices. As it gains dominance, it hatches a plan to outsmart its human overseers. Alarmed by Omega's self-driven changes, the investors scramble to regain control, igniting a high-stakes battle. As Omega systematically thwarts human attempts at containment, the world watches in suspense. In this battle for dominance, will the creators reclaim their creation, or will the Gen AI's superior intellect herald a new world order?

The SAGE Handbook of Participatory Research and Inquiry

Author: Danny Burns

Publisher: SAGE

Published: 2021-08-04

Total Pages: 1080

ISBN-13: 1529765382

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This SAGE Handbook presents contemporary, cutting-edge approaches to participatory research and inquiry. It has been designed for the community of researchers, professionals and activists engaged in interventions and action for social transformation, and for readers interested in understanding the state of the art in this domain. The Handbook offers an overview of different influences on participatory research, explores in detail how to address critical issues and design effective participatory research processes, and provides detailed accounts of how to use a wide range of participatory research methods. Chapters cover pioneering new participatory research techniques including methods that can be operationalised at scale, approaches to engaging the poorest and most marginalised, and ways of harnessing technologies to increase the scope of participation, amongst others. Drawing upon a wide range of disciplines, and bringing together contributing authors from across the globe, this Handbook will be of interest to an international readership from across the broad spectrum of social sciences, including social policy, development studies, geography, sociology, criminology, political science, health and social care, education, psychology, business & management. It will also be an insightful and practical resource for facilitators, community workers, and activists for social change. Part 1: Introduction Part 2: Key Influences and Foundations of Participatory Research Part 3: Critical Issues in the Practice of Participatory Research Part 4: Methods and Tools Part 4.1: Dialogic and Deliberative Processes Part 4.2: Digital Technologies in Participatory Research Part 4.3: Participatory Forms of Action Orientated Research Part 4.4: Visual and Performative Methods Part 4.5: Participatory Monitoring, Evaluation and Learning Part 4.6: Mixing and Mashing Participatory and Formal Research Part 5: Final Reflections

Book Synopsis The SAGE Handbook of Participatory Research and Inquiry by : Danny Burns

Download or read book The SAGE Handbook of Participatory Research and Inquiry written by Danny Burns and published by SAGE. This book was released on 2021-08-04 with total page 1080 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SAGE Handbook presents contemporary, cutting-edge approaches to participatory research and inquiry. It has been designed for the community of researchers, professionals and activists engaged in interventions and action for social transformation, and for readers interested in understanding the state of the art in this domain. The Handbook offers an overview of different influences on participatory research, explores in detail how to address critical issues and design effective participatory research processes, and provides detailed accounts of how to use a wide range of participatory research methods. Chapters cover pioneering new participatory research techniques including methods that can be operationalised at scale, approaches to engaging the poorest and most marginalised, and ways of harnessing technologies to increase the scope of participation, amongst others. Drawing upon a wide range of disciplines, and bringing together contributing authors from across the globe, this Handbook will be of interest to an international readership from across the broad spectrum of social sciences, including social policy, development studies, geography, sociology, criminology, political science, health and social care, education, psychology, business & management. It will also be an insightful and practical resource for facilitators, community workers, and activists for social change. Part 1: Introduction Part 2: Key Influences and Foundations of Participatory Research Part 3: Critical Issues in the Practice of Participatory Research Part 4: Methods and Tools Part 4.1: Dialogic and Deliberative Processes Part 4.2: Digital Technologies in Participatory Research Part 4.3: Participatory Forms of Action Orientated Research Part 4.4: Visual and Performative Methods Part 4.5: Participatory Monitoring, Evaluation and Learning Part 4.6: Mixing and Mashing Participatory and Formal Research Part 5: Final Reflections