4.2
2,015 条评分
★★★★☆
2026年5月11日
2019年12月6日
更新内容
v2026.3.26-stdPerformance and usability improvements
应用信息
- 开发者
- Bloomberg Connects
- 分类
- Education
- 价格
- 免费
- 版本
- 2026.3.26-std
- 安装量
- 1,000,000+
- 包名
- org.bloomberg.connects.docent
简介
With the free Bloomberg Connects app, explore interactive guides to over 1000 museums, galleries, sculpture parks, gardens, and cultural spaces from the palm of your hand. From behind-the-scenes guides to artist and expert-curated video and audio content, Bloomberg Connects makes it easy to discover arts and culture anytime, anywhere. • Plan and Discover: Map out your visit with our planning tools in advance, then use the lookup numbers onsite for quick information about an unexpected find. • On-Demand Content: Use the app onsite or on its own to bring exhibitions and collections to life with exclusive multimedia content created by our museum collaborators. Free to download and free to use, the app was created by Bloomberg Philanthropies to help make the art and offerings of cultural organizations more accessible—not just to those visiting in person but to people around the world. Use the app to discover museums and cultural spaces worldwide including — The Andy Warhol Museum, La Biennale di Venezia, Brooklyn Museum, Central Park Conservancy, The Dalí, Denver Art Museum, The Frick Collection, Georgia O’Keeffe Museum, Guggenheim Museum, Hammer Museum, ICA/Boston, Maison Européenne De La Photographie (MEP), The Met, MoMA, Mori Art Museum, MFA Boston, National Portrait Gallery (London), New York Botanical Garden, Noguchi Museum, The Phillips Collection, Royal Scottish Academy, Serpentine, Storm King Art Center, Whitney Museum of American Art, Yorkshire Sculpture Park and more. Bloomberg Connects benefits our partners – over 1000 museums, galleries, gardens, and cultural spaces, with more joining every month – by providing a pre-built, easy-to-use app interface that can be customized to their content and mission. For more arts and culture inspo, follow us on Instagram, Facebook, and Threads (@bloombergconnects). Have feedback? Let us know: feedback@bloombergconnects.org
下载量预测
预估总下载量
1K
低 / 月
2K
预估 / 月
4K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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