Data, Digital Futures
Staff Researcher
Digital Colonialism in the Global Sphere

Colonialism has consistently been a force in the global purview, including the technological space. In recent years, the expansion of artificial intelligence has vastly increased corporations’ global influence. As the world’s technologies continue to advance and innovate, individuals must keep a watchful eye on the ways in which digital colonialism might repeat harmful practices from the past.

Digital Colonialism in the Global Sphere
entertainment, Film
Staff Researcher
Part I: Playing the Game: The Convergence of ...

Due to the popularity and booming business of video games, Hollywood studios have capitalized on popular game titles by developing new content based off of their intellectual property (IP). This study sets out to better understand video game IP’s impact on film and television markets and what specific elements might impact an adaptation’s success. 

Part I: Playing the Game: The Convergence of Video
Artificial Intelligence, Conferences, museums
Brett Crawford
Future of Museums Summit 2024 Key Takeaways

Sustainability and AI were at the forefront this year at the American Alliance of Museums (AAM) Future of Museums Summit. What role will museums play in creating climate-friendly communities? And how can AI be used to maximize efficiency, increase accessibility, and deepen engagement? Read key conference takeaways from Xueer Ho and Dr. Brett Ashley Crawford.

Future of Museums Summit 2024 Key Takeaways
Analytics, Data, Management
Ian Hawthorne
Data Cultures Part II: Breaking Free from the ...

An overemphasis on data-driven work within the nonprofit sector has been shown to result in cycles of disempowerment, driven by third-party data demands of funding bodies.. This compounds due to the many market orientations nonprofits need to adopt, particularly prevalent among the arts. A key to navigating these markets and funder requirements lies in identifying a specific data culture best fit for your organization and investing in resources and training in order to achieve that framework sustainably.

Data Cultures Part II: Breaking Free from the Cycle of Disempowerment
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

natural language processing

Museums' Use of Natural Language Processing

Museums' Use of Natural Language Processing

Natural Language Processing is used by a variety of institutions, including the fine arts. For a review on its origins and use, read this article. Many museums are employing professional translation services. For instance, the Field Museum in Chicago uses a company called Multilingual Connections, and the Denver Botanical Gardens, South Florida Science Center, and the Metropolitan Museum of Art use a company called Eriksen Translation. That is, museums must pay for professional human translators in order to offer material in multiple languages. Besides machine translation’s promise of museums’ ability to better serve communities in America, the international museum industry also thrives off the ability to offer people a window into culture and identity that isn’t possible without accurate translations. The significant reduction of costs that would occur if machine translation improved would offer museums the ability to broaden their offerings and expand their visitor experience beyond their current capabilities.

Understanding Natural Language Processing

Understanding Natural Language Processing

In a world where Siri can set alarms, give us directions, and look things up, shouldn’t machine translation be better by now? How does machine translation work? Why are museums still using human translation? And most importantly, what happens when machine translation is good enough that museums and other arts enterprises can use it without human oversight? Regardless of its shortcomings, Natural Language Processing has made profound developments within the past 5 or 6 years. While there is still much to be improved on, its integration into everyday life personally and professionally shows that this technology will only experience improvement in the future.