Dalbin A. Osorio is a literacy advocate, educational equity leader, and doctoral candidate in Applied Learning Sciences at the University of Miami, where his research focuses on father-led advocacy frameworks for Black neurodivergent youth. He has spent two decades leading nonprofit, policy, and community programs serving children, youth, and families-including direct service work in mental health and child welfare, public affairs leadership at the Montgomery County Education Association, senior policy work at the National Youth Employment Coalition, and most recently as Executive Director of the Dyslexia Tutoring Program in Baltimore. He is the contributing author of AI in Color: Examining Educational Technology Through a BIPOC Lens (IGI Global Scientific Publishing, 2026), a forthcoming poetry collection, Quiet Echoes In The Nursery (Dorrance Publishing, December 2026), and writes weekly essays on education equity, literacy, and family at substack.com/@dalbinosorio. His work sits at the intersection of literacy advocacy, disability rights, and the ethics of educational technology-particularly the question of how AI tools serve, or fail to serve, BIPOC families and neurodivergent learners. He has spoken on these topics at the NAFSCE National Assembly, the Association for Animal Welfare Advancement, and the NextGen Women's Leadership Summit. Leah and the 0% Match: The Algorithm of Friendship is his debut children's book, written for his daughter Leah and inspired by her own experiences of friendship, identity, and what it means to find your people in an increasingly algorithm-driven world. Dalbin lives in Frederick, Maryland with his wife Patty, their dog Brotis, daughter Leah, and son Ayden.
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Hardcover. Etat : new. Hardcover. Leah's best friend Maya just moved to Texas, and recess has become the loneliest part of the day. Her "Friendship Stats" are at zero, and the stars she used to map with her telescope look different when you're the only one looking at them.Then her mother shows her the Bestie-Blaster, a new school app that promises to use 1,000 data points to find her perfect match. Leah inputs her favorite things-astronomy, soccer, mangoes with chili powder-and the algorithm delivers: 99.8% compatibility with Marcus, a boy who likes everything she likes. But the algorithm also flags someone the math says to avoid. Sam. 0% match. Compatibility too low to bother with.When Marcus turns out to be exactly what the algorithm promised-and exactly what Leah didn't actually need-she starts to wonder whether the math missed something important. Maybe the people who look nothing like you on paper are the ones who turn your world into something bigger than itself.Leah and the 0% Match: The Algorithm of Friendship is an early chapter book for readers ages 6 to 9 that introduces young readers to how algorithms work-and to the questions algorithms can't answer for us. Featuring an Afro-Latina protagonist who is both a tech-user and an independent thinker, the book celebrates the friendships our data can't predict and reminds kids that a 0% match might be a 100% friend. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781971794716
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Hardcover. Etat : new. Hardcover. Leah's best friend Maya just moved to Texas, and recess has become the loneliest part of the day. Her "Friendship Stats" are at zero, and the stars she used to map with her telescope look different when you're the only one looking at them.Then her mother shows her the Bestie-Blaster, a new school app that promises to use 1,000 data points to find her perfect match. Leah inputs her favorite things-astronomy, soccer, mangoes with chili powder-and the algorithm delivers: 99.8% compatibility with Marcus, a boy who likes everything she likes. But the algorithm also flags someone the math says to avoid. Sam. 0% match. Compatibility too low to bother with.When Marcus turns out to be exactly what the algorithm promised-and exactly what Leah didn't actually need-she starts to wonder whether the math missed something important. Maybe the people who look nothing like you on paper are the ones who turn your world into something bigger than itself.Leah and the 0% Match: The Algorithm of Friendship is an early chapter book for readers ages 6 to 9 that introduces young readers to how algorithms work-and to the questions algorithms can't answer for us. Featuring an Afro-Latina protagonist who is both a tech-user and an independent thinker, the book celebrates the friendships our data can't predict and reminds kids that a 0% match might be a 100% friend. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781971794716
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Hardcover. Etat : new. Hardcover. Leah's best friend Maya just moved to Texas, and recess has become the loneliest part of the day. Her "Friendship Stats" are at zero, and the stars she used to map with her telescope look different when you're the only one looking at them.Then her mother shows her the Bestie-Blaster, a new school app that promises to use 1,000 data points to find her perfect match. Leah inputs her favorite things-astronomy, soccer, mangoes with chili powder-and the algorithm delivers: 99.8% compatibility with Marcus, a boy who likes everything she likes. But the algorithm also flags someone the math says to avoid. Sam. 0% match. Compatibility too low to bother with.When Marcus turns out to be exactly what the algorithm promised-and exactly what Leah didn't actually need-she starts to wonder whether the math missed something important. Maybe the people who look nothing like you on paper are the ones who turn your world into something bigger than itself.Leah and the 0% Match: The Algorithm of Friendship is an early chapter book for readers ages 6 to 9 that introduces young readers to how algorithms work-and to the questions algorithms can't answer for us. Featuring an Afro-Latina protagonist who is both a tech-user and an independent thinker, the book celebrates the friendships our data can't predict and reminds kids that a 0% match might be a 100% friend. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781971794716
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Leah's best friend Maya just moved to Texas, and recess has become the loneliest part of the day. Her 'Friendship Stats' are at zero, and the stars she used to map with her telescope look different when you're the only one looking at them.Then her mother shows her the Bestie-Blaster, a new school app that promises to use 1,000 data points to find her perfect match. Leah inputs her favorite things-astronomy, soccer, mangoes with chili powder-and the algorithm delivers: 99.8% compatibility with Marcus, a boy who likes everything she likes. But the algorithm also flags someone the math says to avoid. Sam. 0% match. Compatibility too low to bother with.When Marcus turns out to be exactly what the algorithm promised-and exactly what Leah didn't actually need-she starts to wonder whether the math missed something important. Maybe the people who look nothing like you on paper are the ones who turn your world into something bigger than itself.Leah and the 0% Match: The Algorithm of Friendship is an early chapter book for readers ages 6 to 9 that introduces young readers to how algorithms work-and to the questions algorithms can't answer for us. Featuring an Afro-Latina protagonist who is both a tech-user and an independent thinker, the book celebrates the friendships our data can't predict and reminds kids that a 0% match might be a 100% friend. N° de réf. du vendeur 9781971794716
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Buch. Etat : Neu. Leah and the 0% Match | The Algorithm of Friendship | Dalbin A. Osorio | Buch | Englisch | 2026 | e-Robotic Press | EAN 9781971794716 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 135649093
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