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Things have changed, to say the least. The arts field is resizing, recombining, rethinking. Gone are the days of long term subscribers and reliable audiences. Arts organizations must become more flexible, adaptive, and nimble to survive and thrive in today’s world. Arts managers must engage, adapt, and innovate. Great management invites creativity. Vibrant artistry welcomes strong management. Managing Arts Organizations can help. In Managing Arts Organizations, David Andrew Snider provides a playbook for navigating arts management in this new era and seeks to inspire a new generation of arts managers. Each chapter is focused on a specific topic, with principles, stories, exercises, advice, and best practices related to that topic. The appendix includes eight case studies, each illuminating issues in arts management via a real world scenario or organization. These narratives will enhance the reader’s understanding of topics including financial management, marketing, programming, Diversity, Equity, and Inclusion efforts, and accessibility across multiple disciplines. An instructor’s manual is available for professors who adopt the book as a required textbook.
Beyond the clichés of country and city, understanding the differences in history, programming, economic impact, staffing, board development, marketing, fundraising, community engagement, and pursuit of diversity, equity, and inclusion in relation to their rural setting can help an arts manager be ready to adapt and succeed in different regions.
This book offers an intuitive approach to random processes and educates the reader on how to interpret and predict their behavior. Premised on the idea that new techniques are best introduced by specific, low-dimensional examples, the mathematical exposition is easier to comprehend and more enjoyable, and it motivates the subsequent generalizations. It distinguishes between the science of extracting statistical information from raw data--e.g., a time series about which nothing is known a priori--and that of analyzing specific statistical models, such as Bernoulli trials, Poisson queues, ARMA, and Markov processes. The former motivates the concepts of statistical spectral analysis (such as the Wiener-Khintchine theory), and the latter applies and interprets them in specific physical contexts. The formidable Kalman filter is introduced in a simple scalar context, where its basic strategy is transparent, and gradually extended to the full-blown iterative matrix form.
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Reveals how depictions of disability in fiction serve an essential narrative function
An indispensable on-the-ground guide to the financial landscape of the twenty-first century, from venture capital to hedge funds to management consulting. Money Makers illuminates the often-secretive industries of the private sector that drive the modern economy. David Snider and Chris Howard draw on their interviews with top executives—such as Jamie Dimon, CEO of JPMorgan Chase; David Rubenstein, cofounder of the Carlyle Group; and Shona Brown, former SVP of Business Operations at Google—to reveal the histories, mechanics, operations, and challenges of investment banking, venture capital, private equity, hedge funds, management consulting, and the management of Fortune 500 companies. â€...