Advertisement
| data science for nonprofits: Data Driven Nonprofits Steve MacLaughlin, 2016-08-03 Data driven nonprofits is a guide book for nonprofit organizations that want to improve their performance and increase positive change in the world. Learn from industry leaders and nonprofit professionals that have unlocked the keys to becoming more data driven--Back cover. |
| data science for nonprofits: Data Science for Fundraising Ashutosh R Nandeshwar, Devine Rodger, 2018-02-14 Although the non-profit industry has advanced using CRMs and donor databases, it has not fully explored the data stored in those databases. Data Science for Fundraising will help you generate data-driven results and effective solutions for several challenges in your non-profit. Discover the techniques used by the top R programmers. |
| data science for nonprofits: Data Science for Social Good Massimo Lapucci, Ciro Cattuto, 2021-10-13 This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of Data Science for Social Good, meant as the application of knowledge from computer science, complex systems and computational social science to challenges such as humanitarian response, public health, sustainable development. The book provides both an overview of scientific approaches to social impact – identifying a social need, targeting an intervention, measuring impact – and the complementary perspective of funders and philanthropies that are pushing forward this new sector. This book will appeal to students and researchers in the rapidly growing field of data science for social impact, to data scientists at companies whose data could be used to generate more public value, and to decision makers at nonprofits, foundations, and agencies that are designing their own agenda around data. |
| data science for nonprofits: Fundraising Analytics Joshua M. Birkholz, 2020-09-01 Fundraising Analytics: Using Data to Guide Strategy Fundraising Analytics shows you how to turn your nonprofit's organizational data—with an appropriate focus on donors—into actionable knowledge. The result—A vibrant, donor-centered nonprofit organization that makes maximum use of data to reveal the unique diversity of its donors. It provides step-by-step instructions for understanding your constituents, developing metrics to gauge and guide your success, and much more. |
| data science for nonprofits: The Smart Nonprofit Beth Kanter, Allison H. Fine, 2022-03-03 A pragmatic framework for nonprofit digital transformation that embraces the human-centered nature of your organization The Smart Nonprofit turns the page on an era of frantic busyness and scarcity mindsets to one in which nonprofit organizations have the time to think and plan — and even dream. The Smart Nonprofit offers a roadmap for the once-in-a-generation opportunity to remake work and accelerate positive social change. It comes from understanding how to use smart tech strategically, ethically and well. Smart tech does rote tasks like filling out expense reports and identifying prospective donors. However, it is also beginning to do very human things like screening applicants for jobs and social services, while paying forward historic biases. Beth Kanter and Allison Fine elegantly outline the ways smart nonprofits must stay human-centered and root out embedded bias in order to success at the compassionate and creative work that only humans can and should do. |
| data science for nonprofits: Data Science For Dummies Lillian Pierson, 2021-08-20 Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today. |
| data science for nonprofits: Joan Garry's Guide to Nonprofit Leadership Joan Garry, 2017-03-06 Nonprofit leadership is messy Nonprofits leaders are optimistic by nature. They believe with time, energy, smarts, strategy and sheer will, they can change the world. But as staff or board leader, you know nonprofits present unique challenges. Too many cooks, not enough money, an abundance of passion. It’s enough to make you feel overwhelmed and alone. The people you help need you to be successful. But there are so many obstacles: a micromanaging board that doesn’t understand its true role; insufficient fundraising and donors who make unreasonable demands; unclear and inconsistent messaging and marketing; a leader who’s a star in her sector but a difficult boss… And yet, many nonprofits do thrive. Joan Garry’s Guide to Nonprofit Leadership will show you how to do just that. Funny, honest, intensely actionable, and based on her decades of experience, this is the book Joan Garry wishes she had when she led GLAAD out of a financial crisis in 1997. Joan will teach you how to: Build a powerhouse board Create an impressive and sustainable fundraising program Become seen as a ‘workplace of choice’ Be a compelling public face of your nonprofit This book will renew your passion for your mission and organization, and help you make a bigger difference in the world. |
| data science for nonprofits: How Nonprofits Work Grace Budrys, 2013 How Nonprofits Work looks at nonprofit organizations through a sociological lens, identifying characteristics that make some nonprofits successful and characteristics that cause challenges, focusing on nonprofts in the health services sector. The book opens with helpful background information about nonprofit organizations, then shares case studies that take readers more deeply into the challenges and successes of various organizations. Given the trials nonprofits face in the current economic climate, this timely book helps readers move beyond the good intentions in nonprofits to find successful practices. |
| data science for nonprofits: Impact & Excellence Sheri Chaney Jones, 2014-08-28 Learn to identify, capture, and utilize impactful data for organizational transformation Impact & Excellence is the culmination of a four year research study into the most successful data-driven strategies for today's non-profit and government organizations. The book focuses on five strategic elements to success based on proven principles, with solutions that are easy to implement and often lead to sweeping change. Each chapter includes discussion questions and action items to help leaders implement key concepts in their own organizations. Included with purchase is access to the Measurement Culture Survey, which, will allow readers to access a free benchmark report. Learn to implement a measurement culture that emphasizes strong performance and measurable outcomes Read vivid case studies from successful organizations that do things differently Learn to utilize and leverage data to take decisive actions within your organization Avoid common barriers to developing a measurement culture and learn ways to overcome limitations The book utilizes a series of experiences and templates to help leaders develop a unique action plan tailored to their organization's particular circumstances. Filled with real success stories to inspire readers and with full study results available in the appendix, Impact & Excellence is a crucial resource for leaders to enable their social sector organizations to prosper and compete in today's economy. |
| data science for nonprofits: From Data to Impact: How Artificial Intelligent is Driving Non-Profit Success Ziheng Song, Chun Ping Ng, 2023-03-28 From Data to Impact: How Artificial Intelligence is Driving Non-Profit Success is a groundbreaking book that explores the power of AI in transforming the non-profit sector. With real-world examples, practical insights, and comprehensive strategies, this book offers a comprehensive guide to leveraging AI to drive positive social impact. Whether you are a non-profit leader, a data professional, or simply interested in the intersection of technology and social good, this book is a must-read. It covers everything from smart fundraising and program operations to advocacy and team building, with a focus on ethical considerations and future implications. With its vivid storytelling and attractive format, From Data to Impact is a compelling and inspiring read that will leave you ready to supercharge your own non-profit with the power of AI. |
| data science for nonprofits: Prospect Research for Fundraisers Jennifer J. Filla, Helen E. Brown, 2013-03-18 Essential tools for implementing right-sized prospect research techniques that help nonprofit organizations reach their fundraising goals Written especially for front-line fundraisers, Prospect Research for Fundraisers presents a practical understanding of prospect research, prospect management, and fundraising analytics, demonstrating how research can be used to raise more money. Filled with examples, case studies, interviews, and stories, this unique book is structured around the fundraising cycle and illustrates the myriad of current and ever-changing prospect research tools and techniques available to boost an organization's fundraising effectiveness. From essential overviews to how-to-search skills, this practical book gives development officers the tools to understand how to use prospect research in ways that best fit their goals for each stage of the fundraising cycle. Provides practical insight to understand the best use of each prospect research tool and technique Features a companion website with a variety of online tools to help readers implement key concepts Part of the AFP Fund Development Series Prospect Research for Fundraisers provides fundraisers with an understanding of what prospect research is and which resources are available to small organizations that have limited internal capacity, medium-sized organizations building capacity, and large organizations wanting to maximize their strengths. It offers a practical understanding of the relevant tools at the disposal of development officers and managers responsible for hiring, outsourcing, purchasing, managing, and implementing prospect research within their organizations. |
| data science for nonprofits: Making the Nonprofit Sector in the United States David C. Hammack, 1998 Now in paperback Making the Nonprofit Sector in the United States A Reader Edited with Introductions by David C. Hammack Masterfully mining and sifting a four-century historical record, David Hammack has composed an extraordinarily valuable volume: a 'one-stop-shopping' sourcebook on the secular and religious origins and the astonishing growth (and periodic growing pains) of America's nonprofit sector--and the challenges and dilemmas it confronts today. --John Simon, Yale University It is a delight to see an anthology on nonprofit history done so well. --Barry Karl, John F. Kennedy School of Government, Harvard University This is a volume that everyone concerned about nonprofits--scholar, practitioner, and citizen--will find useful and illuminating. --Peter Dobkin Hall, Program on Non-Profit Organizations Yale Divinity School A remarkable book. --Robert Putnam, John F. Kennedy School of Government, Harvard University An outstanding and timely collection of essential readings for students, researchers and practitioners, carefully edited and introduced by one of the leading historical authorities on the nonprofit sector. --Roseanne M. Mirabella, Center for Public Service, Seton Hall University Unique among nations, the United States conducts almost all of its formally organized religious activity, as well as many cultural, arts, human service, educational, and research activities, through private nonprofit organizations. This reader explores their history by presenting some of the classic documents in the development of the nonprofit sector along with important interpretations and critiques by recent scholars. David C. Hammack is Hiram C. Haydon Professor of History and Chair of the Committee on Educational Programs of the Mandel Center for Nonprofit Organizations at Case Western Reserve University. Philanthropic Studies--Dwight F. Burlingame and David C. Hammack, general editors |
| data science for nonprofits: Measuring the Networked Nonprofit Beth Kanter, Katie Delahaye Paine, 2012-10-09 The tools nonprofits need to measure the impact of their social media Having a social media measurement plan and approach can no longer be an after-thought. It is a requirement of success. As nonprofits refine their social media practice, their boards are expecting reports showing results. As funders provide dollars to support programs that include social media, they too want to see results. This book offers the tools and strategies needed for nonprofits that need reliable and measurable data from their social media efforts. Using these tools will not only improve a nonprofit?s decision making process but will produce results-driven metrics for staff and stakeholders. A hands-on resource for nonprofit professionals who must be able to accurately measure the results of their social media ventures Written by popular nonprofit blogger Beth Kanter and measurement expert Katie Delahaye Paine Filled with tools, strategies, and illustrative examples that are highly accessible for nonprofit professionals This important resource will give savvy nonprofit professionals the information needed to produce measurable results for their social media. |
| data science for nonprofits: Technology in Nonprofit Organizations and Voluntary Action John McNutt, Chao Guo, Lauri Goldkind, Seongho An, 2018-06-05 Information and communication technologies (ICT) are major forces shaping our current age. ICT affects many areas of human existence and influences the both human wellbeing and human evil. The nonprofit sector is already heavily involved in technology both as a way to pursue its mission and as an influential factor in the evolution of the sector. This article examines how technology affects the sector and how the sector uses technology in its work. The article begins with a discussion of how the emerging information society will change the nonprofit sector. The sector that we know is grounded on our experience in the agrarian and industrial periods in the United States and Europe. We then explore how technology evolved in the sector. This is followed by an examination of technology and nonprofit organizational behavior. Technology changes the organizations that make use of its capacities. Next is a discussion of the types of technology that nonprofit organizations use. The final three sections deal with technology and social change, technology in nonprofit settings, and issues and trends. This article provides the reader with a current appreciation of the scholarly and professional literature on ICT in the nonprofit sector. |
| data science for nonprofits: A Voice for Nonprofits Jeffrey M. Berry, 2023-07-31 Nonprofit organizations are playing an increasingly important role in delivering basic government services. Yet they are discouraged by federal law from participating in legislative lobbying efforts—even on issues that affect their clients directly. Without the involvement of nonprofits in the governmental process, the vulnerable populations they serve are left without effective representation in the political system. A Voice for Nonprofits analyzes the effect of government restrictions on the participation of nonprofits in the policymaking process and suggests ways to address the problems. The relationship between nonprofits and the government is ideal in many respects, according to Jeffrey M. Berry and David F. Arons. By underwriting operating budgets and subcontracting the administration of programs to nonprofits, governments at all levels are able to take advantage of nonprofits' dedication, imagination, and private fund-raising skills. However, as nonprofits assume greater responsibility for delivering services traditionally provided by government, that responsibility is not matched by a congruous increase in policy influence. Berry and Arons believe the lobbying restrictions should be eased so that nonprofits may become more involved in public policymaking. Their recommendations are designed to ensure that nonprofit organizations—and the constituencies they serve—are effectively represented in the American political system. |
| data science for nonprofits: Nonprofit Digital Transformation Demystified Ali A. Gooyabadi, Zahra GorjianKhanzad, Newton Lee, 2024-01-15 In this compelling journey into Digital Transformation (DT) tailored for Nonprofit Organizations (NPOs), this book unravels the intricacies of technological integration. Grounded in over one hundred years of extensive research by authors and the editor, real-world examples, and using the San Diego Diplomacy Council (SDDC) as a primary case study, it introduces a tailored Digital Maturity Model (DMM) for NPOs. At the heart of this transformation are three pivotal pillars: Culture, Ethics, and Security. Part I sets the stage, painting a landscape of how NPOs have intertwined with the digital realm. As technology's omnipresence surges, Chapter Two offers a panorama of DT's historical and contemporary intersections with the nonprofit sector. The subsequent chapter emphasizes the stark reality: for many NPOs, digital adaptation is no longer about relevance but survival. Part II delves into the comparative digital strategies of NPOs and their for-profit counterparts in Chapter 4, highlighting the need for tailored approaches. Chapter 5 explores the Nonprofit Digital Maturity Model (NDMM), using the San Diego Diplomacy Council as a focal point. The journey then unfolds further in Chapter 6, which casts a spotlight on the strategic execution of DT in NPOs, weaving in comprehensive analyses to dissect the forces shaping an NPO's digital trajectory. Part III dives deeper, with Chapter 7 laying the foundation of the NDMM. The subsequent chapter meticulously unpacks the NDMM, culminating in Chapter 9, which emphasizes the pillars of DT—Culture, Ethics, and Security—forming the essence of the Nonprofit DT Strategic Framework (NDTSF). This chapter also crafts a tailored roadmap for NPOs, charting a comprehensive DT course. Concluding with a forward-looking stance, Chapter 10 thrusts readers into the enthralling fusion of AI and NPOs, exploring transformative potentials and ethical concerns. Through real-world cases, it positions AI as both a potent tool and a vital dialogue for NPOs. Essentially, this book equips NPOs with tools like the NDMM and insights from successful DT narratives. It seeks to provide a practical guide for nonprofits through their DT journey, ensuring they harness technology ethically and effectively without compromising their core values. |
| data science for nonprofits: Data for Social Good Jane Farmer, Anthony McCosker, Kath Albury, Amir Aryani, 2022-10-29 This open access book provides practical guidance for non-profits and community sector organisations about how to get started with data analytics projects using their own organisations’ datasets and open public data. The book shares best practices on collaborative social data projects and methodology. For researchers, the work offers a playbook for partnering with community organisations in data projects for public good and gives worked examples of projects of various sizes and complexity. |
| data science for nonprofits: Forces for Good Leslie R. Crutchfield, Heather McLeod Grant, 2012-05-01 An updated edition of a groundbreaking book on best practices for nonprofits What makes great nonprofits great? In the original book, authors Crutchfield and McLeod Grant employed a rigorous research methodology derived from for-profit books like Built to Last. They studied 12 nonprofits that have achieved extraordinary levels of impact—from Habitat for Humanity to the Heritage Foundation—and distilled six counterintuitive practices that these organizations use to change the world. Features a new introduction that explores the new context in which nonprofits operate and the consequences for these organizations Includes a new chapter on applying the Six Practices to small, local nonprofits, including some examples of these organizations Contains an update on the 12 organizations featured in the original book—how they have fared, what they've learned, and where they are now in their growth trajectory This book has lessons for all readers interested in creating significant social change, including nonprofit managers, donors, and volunteers. |
| data science for nonprofits: Doing Data Science Cathy O'Neil, Rachel Schutt, 2013-10-09 Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course. |
| data science for nonprofits: Enterprising Nonprofits J. Gregory Dees, Jed Emerson, Peter Economy, 2002-03-14 A hands-on resource that shows nonprofits how to adopt entrepreneurial behaviors and techniques The rising spirit of social entrepreneurship has created all kinds of new opportunities for nonprofit organizations. But at the same time, many are discovering more than their share of challenges as well. This essential book will help anyone in the field gain the necessary skills to meet these challenges. Written by the leading thinkers and practitioners in the field, Enterprising Nonprofits offers concise and engaging explanations of the most successful business tools being used by nonprofits today. The authors clearly describe all the concepts so you'll be able to embrace the methods of social enterprise for your organization. With this book, you'll learn how to use practical business techniques to dramatically improve the performance of your nonprofit. Praise for Enterprising Nonprofits I can't imagine a better team to bring powerful insights and practical guidance to social entrepreneurs. Readers will be inspired by the examples, and then they will roll up their sleeves to apply the many useful management tools in this engaging book.-Rosabeth Moss Kanter, Harvard Business School, Author of Evolve!: Succeeding in the Digital Culture of Tomorrow In one book, Enterprising Nonprofits does for social entrepreneurs what countless volumes have done for entrepreneurs in the business sector. A wonderful mixture of analysis, practical advice, and inspiration.-Paul Brest, President, William and Flora Hewlett Foundation All of the royalties from this book will be used by the Ewing Marion Kauffman Foundation to support continuing work on social entrepreneurship. |
| data science for nonprofits: Intuition, Trust, and Analytics Jay Liebowitz, Joanna Paliszkiewicz, Jerzy Gołuchowski, 2017-10-25 In order to make informed decisions, there are three important elements: intuition, trust, and analytics. Intuition is based on experiential learning and recent research has shown that those who rely on their “gut feelings” may do better than those who don’t. Analytics, however, are important in a data-driven environment to also inform decision making. The third element, trust, is critical for knowledge sharing to take place. These three elements—intuition, analytics, and trust—make a perfect combination for decision making. This book gathers leading researchers who explore the role of these three elements in the process of decision-making. |
| data science for nonprofits: The Routledge Companion to Nonprofit Management Helmut K. Anheier, Stefan Toepler, 2020-04-08 Over the past three decades or so, the nonprofit, voluntary, or third sector has undergone a major transformation from a small cottage industry to a major economic force in virtually every part of the developed world as well as elsewhere around the globe. Nonprofit organizations are now major providers of public services working in close cooperation with governments at all levels and increasingly find themselves in competition with commercial firms across various social marketplaces. This transformation has come with ever-increasing demands for enhancing the organizational capacities and professionalizing the management of nonprofit institutions. The Routledge Companion to Nonprofit Management is the first internationally focused effort to capture the full breadth of current nonprofit management research and knowledge that has arisen in response to these developments. With newly commissioned contributions from an international set of scholars at the forefront of nonprofit management research, this volume provides a thorough overview of the most current management thinking in this field. It contextualizes nonprofit management globally, provides an extensive introduction to key management functions, core revenue sources and the emerging social enterprise space, and raises a number of emerging topics and issues that will shape nonprofit management in future decades. As graduate programs continue to evolve to serve the training needs in the field, The Routledge Companion to Nonprofit Management is an essential reference and resource for graduate students, researchers, and practitioners interested in a deeper understanding of the operation of the nonprofit sector. |
| data science for nonprofits: Bookkeeping for Nonprofits Murray Dropkin, James Halpin, 2012-06-27 BOOKKEEPING FOR NONPROFITS Bookkeeping for Nonprofits is a hands-on guide that offers nonprofit leaders, managers, and staff the tools they need to create and maintain a complete and accurate set of accounting records. This much-needed resource provides those with little or no bookkeeping experience with practical advice in a highly accessible format. Written by Murray Dropkin and Jim Halpin, Bookkeeping for Nonprofits is a step-by-step introduction to keeping accounting records, which form the foundation for a nonprofit organization's financial reports, tax returns, budgets, cash forecasts, and grant proposals. Using this volume as a guide, nonprofit leaders and staff will be able to set up books with or without accounting software and ensure that the records meet the needs of their organization. Bookkeeping for Nonprofits is a comprehensive resource that Discusses how transactions provide day-to-day information for tracking cash balances and cash requirements Shows how transactions provide information to management and the board of directors for budgeting and other essential tasks Explains basic bookkeeping concepts, such as the accounting equation, the chart of accounts, and income and expense tracking Guides readers through the nuts and bolts of recording a transaction Provides an overview of alternative recordkeeping methodologies and how to choose among them Designed to be easy to use, the book is filled with illustrations and checklists. Bookkeeping for Nonprofits is the remarkable new guide for a new generation of accounting challenges bookkeepers face every day. —Frances Hesselbein, chairman and founding president, Leader to Leader Institute Bookkeeping for Nonprofits provides a rare combination of consummate professionalism and clear, accessible writing. Underlying the wealth of technical information lies a great deal of wisdom. The authors have found a way to translate their enormous, on-the-ground experience into usable, actionable policies, procedures, and practices. It is a book that gives all you need to create a fiscally responsible agency with the bonus of helping you become a better manager and a wiser person. —Peter Block, business consultant and author of Flawless Consulting and The Empowered Manager Bookkeeping for Nonprofits provides an excellent understanding of the practical application of bookkeeping in the real work environment. —Ron Werthman, vice president, finance/treasurer and CFO, Johns Hopkins Health System, The Johns Hopkins Hospital This is a wonderful book that every bookkeeper in a nonprofit organization should have. —Eusebio David, fiscal director, Federation of Multicultural Programs, Inc. |
| data science for nonprofits: Empower Your Nonprofit Amy Neumann, 2024-11-13 Your complete guide to AI in the nonprofit sector Empower Your Nonprofit: Simple Ways to Co-Create with AI for Profound Impact is a comprehensive, accessible, and highly practical guide to harnessing the power of emerging AI technologies in the nonprofit sector. This book delivers strategic research, tools, case studies, and advice to help nonprofits advance their missions through AI, with interviews, outlooks, testimonials, and quotes from nonprofit leaders and influencers in the AI industry delivering key insight to all readers regardless of technical expertise. Readers will learn how to practically resolve the top 10 most common nonprofit pain points through the utilization of AI, backed by current case studies of AI implementation for core nonprofit functions like fundraising, grants, marketing, and initiative event optimization. In this book, readers will find information on: The nonprofit sector's critical missions, success factors, challenges, and needs of today AI as a way to automate inefficient internal processes, freeing talent to work on more inspired projects Tools, tips, and tricks to get started with AI as soon as today Empower Your Nonprofit: Simple Ways to Co-Create with AI for Profound Impact earns a well-deserved spot on the bookshelves of all nonprofit leaders and involved donors seeking a comprehensive step-by-step guidebook on how this exciting new technology can be leveraged for greater nonprofit success. |
| data science for nonprofits: The Nonprofit Challenge D. White, 2010-10-25 This book describes the challenges facing charities, explains how they must reassess their commitment, and pushes charities to be their best. It also examines how two sectors of society - business and government - would benefit from a similar corrective journey. |
| data science for nonprofits: The Future of Work Darrell M. West, 2018-05-15 Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the job no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today. |
| data science for nonprofits: Financing Nonprofits Dennis R. Young, 2007 Nonprofits often struggle financially, overwhelmed by the need to muster a complex combination of income streams that range from grants and government funding to gifts-in-kind and volunteer labor. Financing Nonprofits draws upon a growing body of scholarship on the economics and organizational theory of nonprofit organizations to offer a set of practically applicable principles that can guide nonprofits towards firmer financial ground. Organized under the auspices of the National Center on Nonprofit Enterprise, Financing Nonprofits is both an invaluable resource to nonprofit leaders and an ideal classroom resource for students of nonprofit finance. |
| data science for nonprofits: Nonprofit Neighborhoods Claire Dunning, 2022-06-23 An exploration of how and why American city governments delegated the responsibility for solving urban inequality to the nonprofit sector. American cities are rife with nonprofit organizations that provide services ranging from arts to parks, and health to housing. These organizations have become so ubiquitous, it can be difficult to envision a time when they were fewer, smaller, and more limited in their roles. Turning back the clock, however, uncovers both an eye-opening story of how the nonprofit sector became such a dominant force in American society, as well as a troubling one of why this growth occurred alongside persistent poverty and widening inequality. Claire Dunning's book connects these two stories in histories of race, democracy, and capitalism, revealing an underexplored transformation in urban governance: how the federal government funded and deputized nonprofits to help individuals in need, and in so doing avoided addressing the structural inequities that necessitated such action in the first place. Nonprofit Neighborhoods begins in the decades after World War II, when a mix of suburbanization, segregation, and deindustrialization spelled disaster for urban areas and inaugurated a new era of policymaking that aimed to solve public problems with private solutions. From deep archival research, Dunning introduces readers to the activists, corporate executives, and politicians who advocated addressing poverty and racial exclusion through local organizations, while also raising provocative questions about the politics and possibilities of social change. The lessons of Nonprofit Neighborhoods exceed the municipal bounds of Boston, where much of the story unfolds, providing a timely history of the shift from urban crisis to urban renaissance for anyone concerned about American inequality--past, present, or future. |
| data science for nonprofits: Nonprofits and Advocacy Robert J. Pekkanen, Steven Rathgeb Smith, Yutaka Tsujinaka, 2014-07 Does nonprofit mean nonpolitical? When the Susan G. Komen foundation pulled funding for Planned Parenthood’s breast exam program, the public uproar brought new focus to the high political and economic stakes faced by nonprofit organizations. The missions of 501(c)(3) and 501(c)(4) organizations, political action committees, and now Super PACs have become blurred as issues of advocacy and political influence have become increasingly entangled. Questions abound: Should a nonprofit advocate for its mission and its constituents with a goal of affecting public policy? What are the limits of such advocacy work? Will such efforts fundamentally jeopardize nonprofit work? What can studies of nonprofit advocacy efforts reveal? Editors Robert J. Pekkanen, Steven Rathgeb Smith, and Yutaka Tsujinaka recognize the urgent need for relevant research and insight into these issues as direct and indirect government services are squeezed by federal cutbacks. Nonprofits and Advocacy defines advocacy and clarifies the differences among advocacy, lobbying, political activity, and education, as well as advocacy measurements. Providing original empirical data and innovative theoretical arguments, this comparative study is organized into two parts. The first part focuses on local and national dimensions of nonprofit advocacy, and the second part looks at organizational politics and strategies. The conclusion considers basic questions about nonprofit advocacy and seeks to draw lessons from research efforts and practice. Providing a critical look at the multidimensional roles and advocacy efforts of nonprofits, this volume will be valued by scholars, students, leaders, and activists—many of whom advocate for the interests of their organizations while delivering services to their organizations' constituents. The research is also relevant for policymakers involved in cross-sector public policy initiatives as they strive to provide more efficient public-private solutions to challenging governance issues. |
| data science for nonprofits: Engine of Impact William F. Meehan III, Kim Starkey Jonker, 2017-11-14 We are entering a new era—an era of impact. The largest intergenerational transfer of wealth in history will soon be under way, bringing with it the potential for huge increases in philanthropic funding. Engine of Impact shows how nonprofits can apply the principles of strategic leadership to attract greater financial support and leverage that funding to maximum effect. As Good to Great author Jim Collins writes in his foreword, this book offers a detailed roadmap of disciplined thought and action for turning a good nonprofit into one that can achieve great impact at scale. William F. Meehan III and Kim Starkey Jonker identify seven essential components of strategic leadership that set high-achieving organizations apart from the rest of the nonprofit sector. Together, these components form an engine of impact—a system that organizations must build, tune, and fuel if they hope to make a real difference in the world. Drawing on decades of teaching, advising, grantmaking, and research, Meehan and Jonker provide an actionable guide that executives, staff, board members, and donors can use to jumpstart their own performance and to achieve extraordinary results for their organization. Along with setting forth best practices using real-world examples, the authors outline common management challenges faced by nonprofits, showing how these challenges differ from those faced by for-profit businesses in important and often-overlooked ways. By offering crucial insights on the fundamentals of nonprofit management, this book will help leaders equip their organizations to fire on all cylinders and unleash the full potential of the nonprofit sector. Visit www.engineofimpact.org for additional information. |
| data science for nonprofits: Strategic Planning for Public and Nonprofit Organizations John M. Bryson, Bert George, 2024-08-06 The authority on developing strategies and a strategic plan for any public and nonprofit organization Strategic Planning for Public and Nonprofit Organizations is the comprehensive, practical guide to building and sustaining a more effective organization, delivering a clear framework for designing and implementing a better strategic planning and management process. The field's leading authorities share insights, advice, helpful tools, and specific techniques, alongside a widely used and well-regarded approach to real-world planning. This revised and updated Sixth Edition contains new literature cited, new cases, more information on international public and nonprofit concerns, and a more extensive discussion of design and agile methods of strategy development and implementation. In this book, readers will learn how to: Establish an effective approach to the strategic planning process that helps clarify mission and mandates, identify issues, establish a vision, develop strategies, and implement plans Manage the process with continual learning and linking unique assets and abilities to better accomplish the central mission Create significant and enduring public value and navigate political, economic, societal, technological, environmental and legal developments, both locally and internationally Innovation and creativity produce great ideas, but these ideas must be collected and organized into an actionable plan bolstered by a coalition of support to make your organization great. Strategic Planning for Public and Nonprofit Organizations provides everything public and nonprofit leaders need to help bring all of your vision, talent, and assets together into a workable organizational strategy. |
| data science for nonprofits: Ethical Data Science Anne L. Washington, 2023 Can data science truly serve the public interest? Data-driven analysis shapes many interpersonal, consumer, and cultural experiences yet scientific solutions to social problems routinely stumble. All too often, predictions remain solely a technocratic instrument that sets financial interests against service to humanity. Amidst a growing movement to use science for positive change, Anne L. Washington offers a solution-oriented approach to the ethical challenges of data science. Ethical Data Science empowers those striving to create predictive data technologies that benefit more people. As one of the first books on public interest technology, it provides a starting point for anyone who wants human values to counterbalance the institutional incentives that drive computational prediction. It argues that data science prediction embeds administrative preferences that often ignore the disenfranchised. The book introduces the prediction supply chain to highlight moral questions alongside the interlocking legal and commercial interests influencing data science. Structured around a typical data science workflow, the book systematically outlines the potential for more nuanced approaches to transforming data into meaningful patterns. Drawing on arts and humanities methods, it encourages readers to think critically about the full human potential of data science step-by-step. Situating data science within multiple layers of effort exposes dependencies while also pinpointing opportunities for research ethics and policy interventions. This approachable process lays the foundation for broader conversations with a wide range of audiences. Practitioners, academics, students, policy makers, and legislators can all learn how to identify social dynamics in data trends, reflect on ethical questions, and deliberate over solutions. The book proves the limits of predictive technology controlled by the few and calls for more inclusive data science. |
| data science for nonprofits: Community Data Rahul Bhargava, 2024-11-04 Community Data offers a new toolkit for data storytelling in community settings, one purpose-built for goals like inclusion, empowerment, and impact. Data science and visualization has spread into new domains it was designed for - community organizing, education, journalism, civic governance, and more. The dominant computational methods and processes, which have not changed in response, are causing significant discriminatory and harmful impacts, documented by leading scholars across a variety of populations. Informed by 15 years of collaborations in academic and professional settings with nonprofits and marginalized populations, the book articulates a new approach for aligning the processes and media of data work with social good outcomes, learning from the practices of newspapers, museums, community groups, artists, and libraries. This book introduces a community-driven framework as a response to the urgent need to realign data theories and methods around justice and empowerment to avoid further replicating harmful power dynamics and ensure everyone has a seat at the table in data-centered community processes. It offers a broader toolbox for working with data and presenting it, pushing beyond the limited vocabulary of surveys, spreadsheets, charts and graphs. |
| data science for nonprofits: Data Scientists at Work Sebastian Gutierrez, 2014-12-12 Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. Data scientist is the sexiest job in the 21st century, according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (André Karpištšenko, Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig. Each of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. Data Scientists at Work parts the curtain on the interviewees’ earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients. |
| data science for nonprofits: The Happy, Healthy Nonprofit Beth Kanter, Aliza Sherman, 2016-09-26 Steer your organization away from burnout while boosting all-around performance The Happy, Healthy Nonprofit presents realistic strategies for leaders looking to optimize organizational achievement while avoiding the common nonprofit burnout. With a uniquely holistic approach to nonprofit leadership strategy, this book functions as a handbook to help leaders examine their existing organization, identify trouble spots, and resolve issues with attention to all aspects of operations and culture. The expert author team walks you through the process of building a happier, healthier organization from the ground up, with a balanced approach that considers more than just quantitative results. Employee wellbeing takes a front seat next to organizational performance, with clear guidance on establishing optimal systems and processes that bring about better results while allowing a healthier work-life balance. By improving attitudes and personal habits at all levels, you'll implement a positive cultural change with sustainable impact. Nonprofits are driven to do more, more, more, often with fewer and fewer resources; there comes a breaking point where passion dwindles under the weight of pressure, and the mission suffers as a result. This book shows you how to revamp your organization to do more and do it better, by putting cultural considerations at the heart of strategy. Find and relieve cultural and behavioral pain points Achieve better results with attention to well-being Redefine your organizational culture to avoid burnout Establish systems and processes that enable sustainable change At its core, a nonprofit is driven by passion. What begins as a personal investment in the organization's mission can quickly become the driver of stress and overwork that leads to overall lackluster performance. Executing a cultural about-face can be the lifeline your organization needs to thrive. The Happy, Healthy Nonprofit provides a blueprint for sustainable change, with a holistic approach to improving organizational outlook. |
| data science for nonprofits: Handbook of Research on Data Science for Effective Healthcare Practice and Administration Noughabi, Elham Akhond Zadeh, Raahemi, Bijan, Albadvi, Amir, Far, Behrouz H., 2017-07-20 Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions. |
| data science for nonprofits: The Nonprofit Outcomes Toolbox Robert M. Penna, 2011-04-04 An invaluable guide to the outcome-based tools needed to help nonprofit organizations increase their effectiveness The Nonprofit Outcomes Toolbox identifies stages in the use of outcomes and shows you how to use specific facets of existing outcome models to improve performance and achieve meaningful results. Going beyond the familiar limits of the sector, this volume also illustrates how tools and approaches long in use in the corporate sector can be of great analytical and practical use to nonprofit, philanthropic, and governmental organizations . An outstanding resource for organizational and program leaders interested in improving performance, there is nothing else like this work currently available. Shows how to identify and set meaningful, sustainable outcomes Illustrates how to track and manage with outcomes Offers guidance in assessing capacity, and using outcome-based communications Features a companion Web site with the tools found in this book Providing the tools and explanations needed to achieve program success, this book is a complete resource for the nonprofit, governmental, or philanthropic professional striving for greater effectiveness in programs or organizations. |
| data science for nonprofits: Better Data Visualizations Jonathan Schwabish, 2021-02-09 Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message. |
| data science for nonprofits: Success Stories as Hard Data Barry M. Kibel, 2012-12-06 This book offers the first comprehensive introduction to Results Mapping, an in novative approach for assessing the worth of hard-to-evaluate social, health, and education programs. Results Mapping represents a true milestone in program evaluation-a milestone both as methodology for program accountability and as a technique for program improvement. It is relevant across a wide spectrum of pub lic health, social service, and systems-building initiatives. It introduces new sci ence into the field of program evaluation. It merges common sense with structured logic. It retains the richness of real world success stories without sacri ficing a hard-nosed focus on quantitative data and measurable outcomes. The contents of this book are directly pertinent for program leadership and staff, for sponsors and funders in the public and private sectors, and for those charged with assessing, documenting and analyzing the effects of program activ ity. Success Stories as Hard Data is designed to be readable, practical, and clear. Its author does not ignore previous scholarly work, but chooses to emphasize real world applications. For this Dr. Kibei is to be applauded. |
| data science for nonprofits: The Budget-Building Book for Nonprofits Murray Dropkin, Jim Halpin, Bill La Touche, 2011-01-11 This best-selling nuts-and-bolts workbook, now in its second edition, has become the gold standard for nonprofit managers and boards who must work through the budget cycle. The book offers practical tools and guidance for completing each step of the budgeting process. Designed to be comprehensive and easy to use, The Budget-Building Book for Nonprofits provides everything budgeters and nonfinancial managers need to prepare, approve, and implement their own budgets. Includes new chapters on Zero-Based and Capital Budgeting as well as an accompanying website with spreadsheets, worksheets and a new budget-building software, the CMS Nonprofit Budget Builder, designed to help you implement the concepts in the book. The software includes an expandable standard chart of accounts (COA) and will aid in building, organizing, tracking and planning budgets. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Participatory Asset Mapping Toolkit - Community Science
community needs. Other supporting community data can be presented on a map alongside your mapped assets, such as charts or personal narratives. The case study in Appendix A …
2022 Data Empowerment Report - NTEN
Assistant Professor of Computer Science at St. Bonaventure University. Over the past eight years, Chris has conducted in-depth qualitative research with over 100 nonprofit stakeholders …
OBSTRUCTING THE RIGHT TO KNOW - BlueGreen Alliance
data-driven insights. Our free app and browser extension empower shoppers to make healthy choices by automatically screening product ingredients for chemicals of concern and …
State of Computer Science Education - Code.org
nonprofits, universities, corporations, and government institutions who have ... school-by-school data on the availability of computer science in high schools. Across 24 states, only 35% …
NONPROFIT SALARIES and STAFFING TRENDS - Nonprofit …
number of nonprofits are paying staff working remotely a stipend for at-home office expenses. • Retention of experienced staff has become an issue of growing concern as staff become more …
RESEARCH REPORT Nonprofit Trends and Impacts 2021
Figure 22: Nonprofits Used Various Financial Strategies in 2020, Some Increasing and Some Decreasing Expenses or Benefits 42 Figure 23: Slightly More Nonprofits Added Services Than …
Urban Institute 2020 Annual Report
Nov 1, 2021 · 6 - THE URBAN INSTITUTE 2020 ANNUAL REPORT 20.7% Health Policy Center 14.2% Metropolitan Housing and Communities Policy Center 14.1% Center on Labor, Human …
Nonprofit Impact Matters
associations of nonprofits, for the simple reason that data may be drawn from different sources or covering slightly different time periods. ... Research:Science, Technology, Social Science …
Building a Common Outcome Framework To Measure …
case scenario has emerged—nonprofits with multiple projects and multiple funders have to deal ... reports, anecdotes, related social science research and journal articles, IRS Forms 990, and …
Mission: Make impactful philanthropy easier for all. ANNUAL …
electronically filed IRS Form 990s by nonprofits » Engaging with science and technology-driven financial services company Two Sigma’s Data Clinic to analyze trends in nonprofit financial …
WHAT CAN I DO WITH MY MAJOR? BIOINFORMATICS
Bioinformatics combines biology, computer science, and information technology to analyze and interpret biological data. It focuses on developing and using computational tools and …
NYCON State of the Sector 2024
Science and technology, social science. research, services: 0.4%. Public safety, disaster preparedness. and relief: 1.4%. ... The chart below shows the latest IRS data on the types of. …
NEWS RELEASE - artsfund.org
ArtsFund today also announces updated data on the impacts of the COVID-19 pandemic on the nonprofit cultural sector in the Central Puget Sound region. ArtsFund collected data between …
Due Diligence: Vetting and Evaluating Organizations - NCFP
Oct 8, 2020 · nonprofits that have revenues over $1 million and provides data on another 1.8 million nonprofits in the US. It allows donors to search by an organization’s name or category …
Old Dominion University ODU Digital Commons
I sought to understand how human services nonprofits balance the stakeholders’ needs and expectations through their performance measurement. The overarching research question is: …
Exploring Nonprofit Advocacy Research Methods and Design: …
nonprofits most likely to engage in the policy process (e.g., MacIndoe & Whalen, 2013; Pekkanen & Smith, 2014), the variation in political activities’ nonprofits may ... Motivated by these …
Success Factors for Nonprofit Organizations - Squarespace
Data orientation in operations and decision-making Degree to which data is used in program and relationship management, administration and decision-making Efficiency of operations …
Foundations of Data Science - Department of Computer …
Contents 1 Introduction 9 2 High-Dimensional Space 12 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .12 2.2 The Law of Large ...
INTERNAL REVENUE SERVICE
SOI Tax Stats - Exempt Organizations: IRS Master File Data. A booklet describing the EO files and fields is also available on the Internet for downloading. The files are divided by IRS Area, …
GENERAL Burnout is Still the Story for Nonprofits in 2024
FPLGLaw.com Burnout is Still the Story for Nonprofits in 2024 1 GENERAL Burnout is Still the Story for Nonprofits in 2024 09.16.24 | Linda J. Rosenthal, JD “For anyone hoping that burnout …
The Health Impact Assessment Resource and Tool Compilation
o data sources, tools, and methods identified in the EPA report, A Review of Health Impact Assessments in the U.S.: Current State-of-Science, Best Practices, and Areas for …
Master of Nonprofit Management Curriculum Guide - College …
- Apply social science research methods and analyses to evaluate performance and effectiveness at both organizational and programmatic levels. - Utilize evidence-based decision-making …
USING THIS REPORT - University of St. Thomas
utilize IRS data. This creates differences in activity area categories and employers counted—the IRS data provides a means to filter for financially active nonprofits, while the DEED data …
Federal Impacts on Nonprofits: San Diego County Survey of …
Nonprofits Need Support: Nonprofits are looking for champions in philanthropy, government, ... 990 and 990-EZ data (2022) Survey Respondents San Diego Nonprofit Sector* ... Changes to …
2020 Oregon Nonprofit Compensation and Benefits Report
benefit nonprofits who participated in the survey; a list of roles and titles and job positions and corresponding wages; and access to an online interactive Tableau dashboard that provides a …
OPEN KNOWLEDGE NETWORK ROADMAP - NSF
processes to ensure ethical use, methods to track data provenance, flexibility to scale up to support additional data and users, interoperability with new data sources and systems, …
π``x``````````` 2024
between MIT’s faculty, industry, and nonprofits in the fields of artificial intelligence (AI) and life sciences and health. As we sharpen our focus on AI, we do so energized by the addition of an …
2024 Health Equity Outlook Report
Life science Nonprofits and community organizations Payer Provider Government # Tie New Employee health and wellbeing 27% 2 3 Health care costs 18% 5 Other Health care access …
NASA Science Mission Directorate Data and Computing …
Chief Science Data Officer (OCSDO) should facilitate the development of a core architecture that organizes general Core Services across SMD Divisions, with the goal of preserving the data …
CHIPS and Science Act - NSF
Science Act “For nearly 75 years, the U.S. National Science Foundation has advanced the frontiers of science ... investments by key technology area and view state-level award portfolio …
Nonprofit Economic Impact Study - San Antonio Area …
Most Nonprofits are Charitable or Educational Institutions The Internal Revenue Service (IRS) recognizes 29 different varieties of nonprofit businesses. Those classified by the IRS as …
America’s Digital Transformation - Federal Communications …
and-data-science/ (Date accessed: 5/20/23). 3 three legs of the digital divide stool: Affordability, Connectivity, and Digital Skills Training. In 2021 with this opportunity as part of the vision, FCC …
How Are Museums Supported Financially in the U.S.
have over the years compiled data into the funding sources of American museums Broadly defined, the four main categories of museum funding are gov-ernment grants, private …
Advocating for Social Change: How A Human Service …
context and data. Think Dignity and its advocacy partners experienced successes and setbacks at individual and systemic levels. Within a short time, it established itself as a credible voice and …
Nonprofit Scandals: A Systematic Review and Conceptual …
up, integrating the existing data into an overarching conceptual model. We have, there-fore, focused closely on empirical research (i.e., articles including data, both qualita-tive and …
U.S. Research and Development Funding and Performance: …
Sep 13, 2022 · 3 CRS analysis of data from National Science Foundation, National Patterns of R&D Resources: 2019 ...
U.S. DOE Biological and Environmental Research program
Universities, Nonprofits, and Research Institutions and 13 DOE National Laboratories Conduct BER Basic Research $908 MILLION Total Budget >1,300 PUBLICATIONS IN 434 …
Katherine K. Grooms - University of Texas at Austin
Do nonprofits encourage environmental compliance? (with L. Grant),Journal of the Association of Environmental and Resource Economists, 2017, 4(S1), S261-S288. ... The Workshop in …
College of Business Requirements for Admission to a Major
Data science jobs revolve around mathematical modeling executed through a foundation of computer science. A Data Scientist needs to be familiar with a variety of techniques for …
Table of Contents - Sofia University
2022-2023 Spring Catalog Introduction President's Welcome Welcome to Sofia University As we celebrate our 48th year as an institution of higher learning, we welcome you to join us at either of
2023 - National Council of Nonprofits
• Seven out of ten nonprofits (70.5%) anticipate charitable giving to decrease or remain flat in 2023, while 68.7% of nonprofits anticipate the number of donors to decrease or remain …
Wages in the Nonprofit Sector: Management, Professional, …
Oct 28, 2008 · As chart 4 shows, computer and mathematical science occupations in private establishments averaged $36.01 per hour, which is significantly more than the wages of those …
Election Science and the Improvement of Election …
Election science is a multidisciplinary field that utilizes principles of social science, natural science, mathematics, design, and engineering to analyze the performance of election …
Annual Benefit Corporation Report - Patagonia
on the best science and data practicably available. 11. Providing a Just, Equitable, and Supportive. Work Environment. ... engage in activism and support nonprofits-12,589. 22,074: …
FOR RELEASE FEB. 24, 2023 The Future of Human Agency
Feb 24, 2023 · trends; science; research methodology and data science; and immigration and migration. Pew Research Center is a subsidiary of The Pew Charitable Trusts, its primary …
Nonprofit Employment Practices Survey Results
among nonprofit employers. Though budgeting constraints mean some nonprofits have a hard time competing with the private sector, many organizations can access data on the …
Making The Nonprofit Sector In The United States A Reader
growth of government in the twentieth century These questions suggest the complexity of the history of nonprofits in the United States To help explore that history ...
Why AI Chips Matter - Center for Security and Emerging …
new pieces of data similar to those it learned about during training. 2 In this paper, “AI chips” includes graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and …
FINANCIAL STABILITY IN NOT-FOR-PROFIT ORGANIZATIONS: …
According to data from the National Center on Charitable Statistics, on all 501(c) (3)’s (an organization or firm that is exempt from federal tax) that filed a tax return between 1989 and …
