Accessibility, Artificial Intelligence, museums
Staff Researcher
Envisioning the Future of Museum Accessibility ...

With AI’s ability to automatically produce content and process complicated datasets with high accuracy, museums worldwide are exploring ways in which this innovative technology can help them better achieve their missions and advance accessibility efforts. Through case studies, learn about three applications of this technology: content digitalization, language accessibility, and visual description.

Envisioning the Future of Museum Accessibility Through Artificial Intelligence
Artificial Intelligence, Public Policy, News & Announcements
Ian Hawthorne
October News: New Policies and Possibilities ...

October was filled with new debates on AI policies, a halt to one of the most significant AI safety bills in the United States, and a host of new AI developments in video, music, and even podcasts.

October News: New Policies and Possibilities for AI
Data, Fundraising, Marketing
Ian Hawthorne
Data Cultures Part I: The Many Markets of Arts ...

Arts and cultural nonprofits often operate in multiple markets for earned and contributed revenue. With increasing attention on data-driven decision making, effective market orientation often depends on effective data use. This fundamental collection, transmission, use, and interpretation of data within an organization collectively contributes to what can be considered an organization’s data culture.

Data Cultures Part I: The Many Markets of Arts Organizations
Advocacy, Community Building, Public Policy
Ian Hawthorne
Democracy on Display: The Dynamic Role of Art ...

Museums have increasingly begun to volunteer their spaces as polling places, acting as a democratic vehicle for their communities and adding to the greater fabric of America’s election infrastructure. In doing so, they can support local democratic processes and prove to their communities that they are not unbreachable temples for the elite, but open platforms for the people.

Democracy on Display: The Dynamic Role of Art Museums in Elections
Artificial Intelligence, entertainment, Film
Staff Researcher
Part I: A New Era of AI in the Entertainment ...

As exemplified by the Hollywood strikes of 2023, we find ourselves in a new era of Artificial  Intelligence in film and television. While studios are looking to cut costs, performers seek job security, and consumers seek quality content. Through research conducted in collaboration with facial motion capture technology provider Faceware Technologies Inc., Master of Entertainment Industry Management students at Carnegie Mellon sought to gain insight on how AI-generated content will transform existing industries, including how this technology could affect employment in the entertainment industry, content development,  budgets, contracts, legislation, and privacy rights.

Part I: A New Era of AI in the Entertainment Industry

Streaming

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The Impact of Prestige TV on Streaming Television's Storytelling and Execution

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The Impact of Prestige TV on Streaming Television's Storytelling and Execution

he current era of television feels most like the decade preceding ‘New Hollywood’ in the 1970s, the fall of big budget movie musicals and an industry wide scramble to find out what comes next. Television is in some ways returning to the old model with commercial breaks and digital bundles, but television as a medium and an industry has been forever changed by the birth of prestige television. The lessons that are learned from this time will likely dictate the next fifty years of American television. 

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Part Two: Streaming vs. Streamers - A Stand-Off

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Part Two: Streaming vs. Streamers - A Stand-Off

Since streaming became mainstream, major changes in sitcom preferences have come to light. According to analytics, the demand for sitcoms varies by streamer with viewers preferring network sitcoms to those created strictly for streaming. Not only that, but the same study shows that the sitcom was the most in demand sub-genre of television in-demand in 2022. Part One of this research discusses the top ten most streamed shows in the U.S. in 2023.

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Part One: Streaming vs. Streamers - A Stand-Off

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Part One: Streaming vs. Streamers - A Stand-Off

The creative standstill between viewers and streamers has come to a head. As streaming slowly inches its way to overtaking the conventional ways of watching television, the divide between what viewers want and what is being produced grows. Audiences have made it clear that they prefer the formats of the past overcurrent releases, but streaming companies are refusing to make changes to their current format, especially regarding the sitcom.

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Horizon 2028 Part 1: The Future of Global Content Licensing

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Horizon 2028 Part 1: The Future of Global Content Licensing

This report considers content and distribution strategies that allow Paramount Global Content Distribution (PGCD) to maximize subscriber growth and external licensing revenue. Given the symbiotic nature of licensing deals among studios, the research team focused on how PGCD can remain competitive in the streaming landscape with a balanced mixture of internally and externally licensed properties.

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Strategies in the Streaming Industry: Bally Sports as Case Study

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Strategies in the Streaming Industry: Bally Sports as Case Study

This case study for Bally Sports shows that sports fans’ top priority for streaming is accessible, reliable, and interesting content. As a result of these findings, the recommendations to maintain longevity in the streaming industry focus on the importance of brand awareness, user experience, representative content, and potential partnership integrations.

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How NFTs Have Changed the Creator Economy

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How NFTs Have Changed the Creator Economy

Content creators have thrived on Web2 platforms such as Youtube, Instagram, and Twitter. However, with the latest addition of platforms such as Twitch and Patreon, curating content has been enhanced by enabling direct creator-to-fan content and new methods of monetization. The implementation of Web3 technologies, more specifically non-fungible tokens (NFTs) are revolutionizing the way creators distribute content, claim ownership, and monetize work.

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Spotify's Algorithm: Helping or Hurting Musicians?

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Spotify's Algorithm: Helping or Hurting Musicians?

The year is 1870, 7 years before the invention of the phonograph by Thomas Edison. As a musical artist, if you wanted to distribute your content to an audience, you did so through sheet music, either painstakingly copied by hand, or if you were lucky, replicated on some kind of a printing press. Music distribution has come a long way since then. Artists can upload music to platforms like TikTok or YouTube with the click of a button. But how has this changed the industry?

The most prolific way that people engaged with music in 2020 was streaming platforms, of which, Spotify continues to be the most popular. Even though it’s easier than ever for artists to upload content to a large audience, the question remains, are personalization algorithms and streaming services through Spotify harming or helping musical artists?

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An Industry of Secrecy: Why Streaming Companies Hide Viewership Data

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An Industry of Secrecy: Why Streaming Companies Hide Viewership Data

The entertainment industry in a post-pandemic and streamer-heavy world bears a sigil of secrecy. Viewership data for films and television shows on Netflix, Hulu, Amazon Prime Video, HBO Max, Disney Plus, Apple TV Plus, and other streaming services is highly monitored behind closed doors at these companies. Streaming consumption skyrocketed at the beginning of the COVID-19 pandemic, as people around the world were forced to stay at home. During the same time, online TV/video consumption increased from 1.7 hours to 6.5 hour. The pandemic fast-tracked the world’s shift to streaming, as it became one of the only accessible entertainment platforms, forcing the general public to decide which streaming services to invest in, largely because of cost.