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  1. 1
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    Paradoxes of Openness and Trans Experiences in Open Source Software Autoría: Frluckaj, Hana, Howison, James, Dabbish, Laura, Stevens, Nikki

    Publié 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  2. 2
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    Open Source Software Field Research: Spanning Social and Practice Networks for Re-Entering the Field Autoría: Goggins, Sean P., Lumbard, Kevin, Germonprez, Matt, Du, Caifan, Ram, Karthik, Howison, James

    Publié 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  3. 3
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    Biomedical Open Source Software: Crucial Packages and Hidden Heroes Autoría: Brown, Eva Maxfield, Druskat, Stephan, Hébert-Dufresne, Laurent, Howison, James, Mietchen, Daniel, Nesbitt, Andrew, Pimentel, João Felipe, Veytsman, Boris

    Publié 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  4. 4
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    Use as Directed? A Comparison of Software Tools Intended to Check Rigor and Transparency of Published Work Autoría: Eckmann, Peter, Barnett, Adrian, Bannach-Brown, Alexandra, Atria, Elisa Pilar Bascunan, Cabanac, Guillaume, Franzen, Louise Delwen Owen, Gazda, Małgorzata Anna, Hair, Kaitlyn, Howison, James, Kilicoglu, Halil, Labbe, Cyril, McCann, Sarah, Nachev, Vladislav, Roelandse, Martijn, Salholz-Hillel, Maia, Schulz, Robert, ter Riet, Gerben, Vorland, Colby, Bandrowski, Anita, Weissgerber, Tracey

    Publié 2025
    Fuente: arXiv
    Tipo de material: Preprint
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  5. 5
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    Accountability in Open Source Software Ecosystems: Workshop Report Autoría: Sharma, Nandini, Bock, Thomas, Bowen, Rich, Choudhury, Sayeed, Fitzgerald, Brian, Germonprez, Matt, Herbsleb, Jim, Howison, James, Hughes, Tom, Lee, Min Kyung, Lieggi, Stephanie, Liesenfeld, Andreas, Link, Georg, Matsakis, Nicholas, Mockus, Audris, Ramasubbu, Narayan, Robinson, Christopher, Robles, Gregorio, Ruff, Nithya, Shah, Sonali, Steinmacher, Igor, Vasilescu, Bogdan, Walli, Stephen, Yoo, Christopher

    Publié 2026
    Fuente: arXiv
    Tipo de material: Preprint
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  6. 6
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    Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science Autoría: McInnes, Lois Curfman, Arnold, Dorian, Balaprakash, Prasanna, Bernhardt, Mike, Cerny, Beth, Dubey, Anshu, Giles, Roscoe, Hood, Denice Ward, Leung, Mary Ann, Lopez-Marrero, Vanessa, Messina, Paul, Newton, Olivia B., Oehmen, Chris, Wild, Stefan M., Willenbring, Jim, Woodley, Lou, Baylis, Tony, Bernholdt, David E., Camano, Chris, Cohoon, Johannah, Ferenbaugh, Charles, Fiore, Stephen M., Gesing, Sandra, Gomez-Zara, Diego, Howison, James, Islam, Tanzima, Kepczynski, David, Lively, Charles, Menon, Harshitha, Messer, Bronson, Ngom, Marieme, Paliath, Umesh, Papka, Michael E., Qualters, Irene, Raybourn, Elaine M., Riley, Katherine, Rodriguez, Paulina, Rouson, Damian, Schwalbe, Michelle, Seal, Sudip K., Surer, Ozge, Taylor, Valerie, Wu, Lingfei

    Publié 2025
    Fuente: arXiv
    Tipo de material: Preprint
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