You are looking at支持的内容marketing
scidev.net支持内容
Scidev.net为第三方组织提供了支持我们内容并提高人们对
SCIDEV.NET的众多政策制定者，科学传播者，媒体专业人士和发展利益相关者的兴趣共同主题。
支持的内容可以采用不同的形状和格式。在scidev.net，我们包括下面列出的格式。
随时发送电子邮件给[电子邮件保护]，具有主题行中的“支持内容”，以获取有关下面任何格式的更多信息：
Supported feature
我n a feature or series of features our journalists can examine the research being produced on a specific topic. Articles can be published within a short timeframe to effectively focus the attention of the audience or over a longer period to provide our readers with a regular flow of information on the topic. We can translate and publish this content on a relevant regional edition.
除了在我们自己的网站上发布并通过我们的正常营销推动它
channels including our weekly newsletter and social media channels, we also promote
我们对联合合作伙伴的内容。
我nteractive data visualisation
数据可视化projects are a type of content that allows our readers to interact with the story in a way that other article types do not provide. While data visualisation is more challenging and costly to produce, it is also some of the most appealing and engaging content we produce. Data visualisation also continues to attract readers long after first publication. Data visualisation projects can vary greatly in scale and complexity, and every large data visualisation piece is unique and highly optimised to the partner and topic needs.
支持辩论
我们可以围绕一个特定主题进行辩论，引入高级决策者和学者提出他们的观点。辩论通常与我们选择的人的问答访谈和最终分析功能相结合，将一些问题汇总在一起。
About SciDev.Net and our audience
Scidev.net是全球有关全球发展科学和技术的可靠和权威新闻，观点和分析的领先来源。
We offer our content in four different languages from 80 different countries around the globe to a wide range of development stakeholders including policy makers, scientists and researchers, media, and NGOs. Every year we reach an average audience of 80 million across all our channels (website, social media and syndication).
Oureditorial valueshold us to the highest standards of journalism and transparency. We are also part of The Trust Project, an international consortium of news organizations developing and applying standards of journalism transparency and trustworthiness, while working with tech giants like Google and Facebook to help readers discern properly reported articles from fake news.
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