social scientist | AI ethics at BIH Charité | PhD MPI-EVA | i like data, statistics, women, families, health and wealth | she/her

this work is a celebration of long-term anthropological data and I am privileged to have been a part of it!
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Re-drafting Telling Stories with Data: tellingstorieswithdata.com Feedback/typos/opinions/etc greatly appreciated.
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Our team has arrived in the Maldives. We are here to study sharks, and other predators, attacking massive schools of fish to better understand collective sensing and decision-making in the wild. @CBehav @MPI_animalbehav @UniKonstanz
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Replication studies hold the key to generalization | Nature Communications nature.com/articles/s41467-0…
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I defended my thesis last week!! The official paperwork is pending, so i cannot call myself Dr. Riri just yet. But i believe everyone else can!! So please feel free to do so 🧿
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How do gender inequality and within-sex inequalities influence the way people mate? And what are the consequences for politics and culture? Well, a few people asked for a thread on this after our recent @EvolHumBehav paper and my @CulturalEvolSoc talk today at #CESConf2022.
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Deep in my bones, I know the way to prepare for my defense is carboloading. Metric ton of focaccia in, feeling good.
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As a committed perspectivist, I agree with its primary (and modest) conclusion that exploratory tests can be more compelling than confirmatory tests. That is, there exist conditions under which we should take an exploratory outcome more seriously than a confirmatory outcome.
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My paper with @mindismoving is now published in EHB: Spousal age-gaps, partner preferences, and consequences for well-being in four Colombian communities sciencedirect.com/science/ar…
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Our research adds to a growing body of work in evolutionary anthropology that calls for a more nuanced approach (e.g., individual-level data, context-based predictions) to the study of behavioural phenomena with potentially harmful consequences.
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All data and code is available here: github.com/rianaminocher/spo… Next up: characterizing preferred partnerships (beyond age, e.g., wealth, social support) in this data & region :)
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