What's the danger with misinterpreting GBV data?

Update: 2020-01-02

Description

Even with the best intentions, any data source is vulnerable to misinterpretation. Be it from statistical omission, lack of context or the absence of subject matter expertise, this can lead to misunderstanding the situation as well as misinformed decision making. In this episode, we talk with current and past members of the GBVIMS global team to uncover these opportunities for misinterpretation and ways to avoid it altogether.

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