Sift peels back layers of complexity using data visualizations, interactive "check-ins," and direct access to sources. Our goal is to help users contextualize and process the news by unpacking complex topics away from an overwhelming breaking news cycle.
Sift is a project within All Turtles, a global startup that develops practical AI products to solve pressing, meaningful problems with emerging technology.
We'll explore these topics through two types of tracks: 1) where we are and how did we get here? (overview/historical context), and 2) where can we go from here? What is a conversation we should be having that we're not?
For example, within the topic of U.S. immigration, a track might focus on the economic effects of immigration or the complexity of defining identity in the U.S., or immigration policy reform.
What we’re not looking for: Feature storytelling. For now, we are focused on cultivating a more nuanced understanding of complicated issues.
Pitches are accepted on a rolling basis until 2/8. We're moving fast, so early submission is appreciated. If you have any questions, email firstname.lastname@example.org.
2. Write a 300-500 word pitch that answers the following questions:
- What topic will you address and which track will you tackle? - What is the narrative arc of your "story"?- What context is missing in the current conversation? Propose a new framework for understanding the issue. What aren’t people talking about? What assumptions and biases should be challenged? - What sources will you use? - Do you have any preliminary thoughts on how Sift’s interactive storytelling can help facilitate a deeper understanding of the topic?