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.
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.
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.
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.
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.
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.
For art museums, knowledge of and consideration of neurodiversity must be a requirement within the context of accessibility and DEAI efforts. How effectively are art museums actually providing neurodiverse accessibility, if at all? Additionally, what strategies can be implemented to enhance inclusivity for neurodiverse visitors and support educators who aim to bring neurodiverse students into these spaces?
Did you catch this month’s headlines in tech and the arts? Advancements in technology make new opportunities for creators and consumers alike. Policy to support transparency in device repair and use of AI may help users make informed decisions. Meanwhile, a landmark Google antitrust ruling supports competition in the search engine market.
VR exhibitions have been on the rise for the past decade and are a continuous hot topic. Many metrics can be measured and leveraged when it comes to the evaluation of a museum’s exhibition. However, when it comes to leveraging a VR exhibition in a physical museum, what metrics are currently being assessed and valued in the museum field? What are the factors that make or break a VR exhibition? These are the questions that this article aims to address and explore.
The MuseumNEXT Green Museum Summit, held February 26 and 27, hosted a variety of speakers from museums and cultural organizations across the globe, each which shared their unique experiences in conducting sustainability work within their organizations. In this article, Lead Researcher Hannah Brainard reflects on her experience attending the Summit and her main takeaways.
Over the past decade, digital-based immersive and interactive art experiences have emerged as a popular trend in the art world. In the digital age, rapid technological advancements and continuous updates in digital equipment have revolutionized the art experience. This shift towards non-traditional, digital immersive, and interactive art forms has undoubtedly narrowed the gap between the audience and the art itself, offering a more intimate experience.
XR is an exciting venture for museums for a variety of reasons ranging from stretching the limits of exhibition possibilities to expanding access and elevating the transfer of knowledge to an interactive, long-lasting experience. But how can museums thoughtfully incorporate XR into their programming, aligned with the sector’s increasing awareness and incorporation of equity goals?
The merging of artificial intelligence (AI), big data, and human cognitive systems has catalyzed a profound digital transformation of our lifestyles and production methods. This shift is particularly noticeable in the art field, where the integration of AI has sparked innovative ideas and prompted new assessments of traditional practices. Art museums are investigating the potential of AI in collection management, improving visitor experiences, and ticketing attendance data. Of these, the field of art curation is one that is undergoing an evolution.
