In this book we consider ways in which mining companies do and can/should respect the human rights of communities affected by mining operations. We examine what "can and should" means and to whom, in a variety of mostly Peruvian contexts, and how engineers engage in "normative" practices that may interfere with the communities' best interests. We hope to raise awareness of the complexity of issues at stake and begin the necessary process of critique—of self and of the industry in which an engineer chooses to work. This book aims to alert engineering students to the price paid not only by vulnerable communities but also by the natural environment when mining companies engage in irresponsible and, often, illegal mining practices. If mining is to be in our future, and if we are to have a future which is sustainable, engineering students must learn to mine and support mining, in new ways—ways which are fairer, more equitable, and cleaner than today.

BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media. Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories. Learn how to: Write Python scripts and use APIs to gather data from the social web Download data archives and dig through them for insights Inspect HTML downloaded from websites for useful content Format, aggregate, sort, and filter your collected data using Google Sheets Create data visualizations to illustrate your discoveries Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library Apply what you've learned to research topics on your own Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.

Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.

Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

Mining Can Be Environmentally and Socially Responsible—and Still Profitable Even in this regulated, environmentally aware world, running a mine can be done safely, with combined goals of maximizing both the return on investment from extraction and the positive environmental and social impact that a well-run, responsible mine can offer. Responsible Mining is your comprehensive guide to addressing social and environmental risks at mines in the developed world. This book gathers case studies of best practices across the full range of issues. With examples from four continents, you can learn from both your home territory and around the world. Seventy-two leading mine engineers, forestry scientists, conservationists, environmental consultants, sustainability professionals, and geologists from prominent universities, extraction businesses, nongovernmental organizations, and governments have come together within these pages to lead you safely and profitably toward socially, environmentally, and economically beneficial mining practices. Organized around ten sustainability principles required of International Council on Mining and Metals members (including some of the largest extraction businesses in the world), the book addresses nearly every environmental and social consequence of mining in developed countries, including: · Protecting biodiversity · Minimizing negative impacts on climate change · Interacting appropriately with indigenous peoples · Enhancing the local community and reducing poverty · Reusing and recycling materials · Recovering energy · Recapturing and reusing water · Managing proper storage, reclamation, and disposal of tailings · Restoring the land after ceasing mining operations You will want to make this book required reading for all members of your team who are responsible for environmental compliance, resource recovery, sustainability, energy management, and marketing/public relations to facilitate cross-departmental discussions about how to incorporate best practices into your business plans.

Mining can have negative environmental and social impacts, but can also be responsible. However corporations have little impetus to act responsibly without being held to account by an informed and active public, and by strong institutions and governments which not only create but also enforce legislation. Yet what does such practice look like? This book shows how the concept of responsible mining is based on five key principles or pillars: holistic assessment; ethical relationships; community-based agreements; appropriate boundaries and good governance. Together, these pillars circumscribe global best practice and innovative ideas to catalyse new and improved approaches to a sustainable mining industry. The author argues that these practices are critical to the future viability and social acceptability of the global mining industry and draws on a range of case studies, including from Australia, Canada, Central Asia, Papua New Guinea and west Africa. The role of informed communities, governments and civil societies in holding the industry to account to achieve responsible mining is assessed. The book explains how companies judge what effects they may have on communities and investigates ways to improve the prediction and prevention of such impacts and to provide clearer, more meaningful public communication. It offers alternatives to common ‘corporate social responsibility’ practices in which mining companies adopt roles which are usually the remit of government. Ultimately, it looks to the future, exploring the essential pathways towards responsible mining.

Does Socially Responsible Investment (SRI) affect society in the 21st century? This book explores various facets of SRI to address its potential and limits to create societal change. Little research has been undertaken on the societal impacts of SRI. With this book we contribute to this debate, pushing the boundaries of SRI even further.

In the tradition of Octavia Butler, here is radical self-help, society-help, and planet-help to shape the futures we want. Change is constant. The world, our bodies, and our minds are in a constant state of flux. They are a stream of ever-mutating, emergent patterns. Rather than steel ourselves against such change, Emergent Strategy teaches us to map and assess the swirling structures and to read them as they happen, all the better to shape that which ultimately shapes us, personally and politically. A resolutely materialist spirituality based equally on science and science fiction: a wild feminist and afro-futurist ride! adrienne maree brown, co-editor of Octavia’s Brood: Science Fiction from Social Justice Movements, is a social justice facilitator, healer, and doula living in Detroit.

This volume gathers the latest advances, innovations, and applications in the field of mining, geology and geo-spatial technologies, as presented by leading researchers and engineers at the International Conference on Innovations for Sustainable and Responsible Mining (ISRM), held in Hanoi, Vietnam on October 15-17 2020. The contributions cover a diverse range of topics, including mining technology, drilling and blasting engineering, tunneling and geotechnical applications, mineral processing, mine management and economy, environmental risk assessment and management, mining and local development, mined land rehabilitation, water management and hydrogeology, regional Geology and tectonics, spatial engineering for monitoring natural resources and environment change, GIS and remote sensing for natural disaster monitoring, risk mapping and revisualization, natural resources monitoring and management, mine occupational safety and health. Selected by means of a rigorous peer-review process, they will spur novel research directions and foster future multidisciplinary collaborations.

Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits