Can communication across networks of people be optimized to share information, while at the same time lessening the likelihood of information bubbles and echo chambers? In Episode 54, we’re joined by Ida Momennejad and Ajua Duker from Columbia University and Yale University, respectively, to discuss their open access article “Bridge ties bind collective memories” which was published with Alin Coman on April 5, 2019 in the journal Nature Communications.

Collective Memories -- Ida Momennejad & Ajua Duker
Collective Memories -- Ida Momennejad & Ajua Duker
Collective Memories -- Ida Momennejad & Ajua Duker Collective Memories -- Ida Momennejad & Ajua Duker
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Websites and other resources

Ida’s workshop on graphs and collective memory:

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Hosts / Producers

Doug Leigh & Ryan Watkins

How to Cite

Leigh, D., Watkins, R., Momennejad, I., & Duker, A.. (2019, July 23). Parsing Science – Collective Memories. figshare. https://doi.org/10.6084/m9.figshare.9247865

Music

What’s The Angle? by Shane Ivers

Transcript

Ida Momennejad: An important aspect was how much there is overlap in the information that is shared over time in the network, and how much there is the diversity of information.

Doug Leigh: This is Parsing Science. The unpublished stories behind the world’s most compelling science as told by the researchers themselves. I’m Doug Leigh…

Ryan Watkins: And I’m Ryan Watkins. Today in episode 54 of Parsing Science, we’ll be joined by Ida Momennejad and Ajua Duker from Columbia University and Yale University. They’ll discuss their research into how communication across networks of people can optimize information sharing while diminishing the likelihood of information bubbles and echo chambers. Here’s Ida Momennejad and Ajua Duker.

Momennejad: Hello! I’m Ida Momennejad. I’m currently a research scientist at Columbia University, and I used to be a postdoc at Princeton when I collaborated with Ajua and Alin on this project. I’m originally from Tehran, Iran, and I did my undergrad in computer science, software engineering, and then I went on to the Netherlands and did a graduate degree in philosophy of science and philosophy of mind, and from there I went to Berlin and did my PhD in computational neuroscience and psychology. The entire sort of background of mine is very much centered around building computational models of how people think or designing experiments to understand how their brains represent the future in particular, and what is the relationship between memories of the past and representations of future, how these sort of representations inside the brain get updated, and how they lead to decisions in people.

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