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#replicability — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #replicability, aggregated by home.social.

  1. Thanks to Gary King for pushing students and colleagues alike to take the #replicability issue seriously from the 1990s

  2. Thanks to Gary King for pushing students and colleagues alike to take the #replicability issue seriously from the 1990s

  3. Thanks to Gary King for pushing students and colleagues alike to take the #replicability issue seriously from the 1990s

  4. Thanks to Gary King for pushing students and colleagues alike to take the #replicability issue seriously from the 1990s

  5. Thanks to Gary King for pushing students and colleagues alike to take the #replicability issue seriously from the 1990s

  6. From 20-22 July, the 4th #ACM #Conference on Reproducibility and Replicability will take place in #Delft.
    The conference welcomes contributions on methods, tools, case studies, and community efforts around #reproducibility and #replicability in #computational research.

    Deadlines: 10 March (abstracts)/17 March (papers)

    acm-rep.github.io/2026/cfp/

    Foto by ThisIsEngineering on unsplash

  7. From 20-22 July, the 4th #ACM #Conference on Reproducibility and Replicability will take place in #Delft.
    The conference welcomes contributions on methods, tools, case studies, and community efforts around #reproducibility and #replicability in #computational research.

    Deadlines: 10 March (abstracts)/17 March (papers)

    acm-rep.github.io/2026/cfp/

    Foto by ThisIsEngineering on unsplash

  8. From 20-22 July, the 4th #ACM #Conference on Reproducibility and Replicability will take place in #Delft.
    The conference welcomes contributions on methods, tools, case studies, and community efforts around #reproducibility and #replicability in #computational research.

    Deadlines: 10 March (abstracts)/17 March (papers)

    acm-rep.github.io/2026/cfp/

    Foto by ThisIsEngineering on unsplash

  9. From 20-22 July, the 4th #ACM #Conference on Reproducibility and Replicability will take place in #Delft.
    The conference welcomes contributions on methods, tools, case studies, and community efforts around #reproducibility and #replicability in #computational research.

    Deadlines: 10 March (abstracts)/17 March (papers)

    acm-rep.github.io/2026/cfp/

    Foto by ThisIsEngineering on unsplash

  10. From 20-22 July, the 4th #ACM #Conference on Reproducibility and Replicability will take place in #Delft.
    The conference welcomes contributions on methods, tools, case studies, and community efforts around #reproducibility and #replicability in #computational research.

    Deadlines: 10 March (abstracts)/17 March (papers)

    acm-rep.github.io/2026/cfp/

    Foto by ThisIsEngineering on unsplash

  11. The final paper in our upcoming special issue on #Replicability and #Reproducibility, Joseph Holler and colleagues use open science practices to develop a GIScience study on access t oCOVID-19 healthcare in Illinois, US doi.org/10.1080/15230406.2025. #OpenAccess #GISchat

  12. The final paper in our upcoming special issue on #Replicability and #Reproducibility, Joseph Holler and colleagues use open science practices to develop a GIScience study on access t oCOVID-19 healthcare in Illinois, US doi.org/10.1080/15230406.2025. #OpenAccess #GISchat

  13. The final paper in our upcoming special issue on #Replicability and #Reproducibility, Joseph Holler and colleagues use open science practices to develop a GIScience study on access t oCOVID-19 healthcare in Illinois, US doi.org/10.1080/15230406.2025. #OpenAccess #GISchat

  14. The final paper in our upcoming special issue on #Replicability and #Reproducibility, Joseph Holler and colleagues use open science practices to develop a GIScience study on access t oCOVID-19 healthcare in Illinois, US doi.org/10.1080/15230406.2025. #OpenAccess #GISchat

  15. The final paper in our upcoming special issue on #Replicability and #Reproducibility, Joseph Holler and colleagues use open science practices to develop a GIScience study on access t oCOVID-19 healthcare in Illinois, US doi.org/10.1080/15230406.2025. #OpenAccess #GISchat

  16. Reading a paper this morning onlinelibrary.wiley.com/doi/10 that follows Nosek & Errington (2017) elifesciences.org/articles/233 in muddling the distinction between #replicability as a broader scientific aim vs #reproducibility as captured in the narrow (purely 'computational') idea of #reproducibleresearch discussed e.g. in a #Guix context here guix.gnu.org/cookbook/en/html_.

    This mistake is not uncommon, and leads (in this present paper, at least) to insufficient stress on computational reproducibility as a sine qua non of any higher-order quality attribute.

  17. Reading a paper this morning onlinelibrary.wiley.com/doi/10 that follows Nosek & Errington (2017) elifesciences.org/articles/233 in muddling the distinction between #replicability as a broader scientific aim vs #reproducibility as captured in the narrow (purely 'computational') idea of #reproducibleresearch discussed e.g. in a #Guix context here guix.gnu.org/cookbook/en/html_.

    This mistake is not uncommon, and leads (in this present paper, at least) to insufficient stress on computational reproducibility as a sine qua non of any higher-order quality attribute.

  18. Reading a paper this morning onlinelibrary.wiley.com/doi/10 that follows Nosek & Errington (2017) elifesciences.org/articles/233 in muddling the distinction between #replicability as a broader scientific aim vs #reproducibility as captured in the narrow (purely 'computational') idea of #reproducibleresearch discussed e.g. in a #Guix context here guix.gnu.org/cookbook/en/html_.

    This mistake is not uncommon, and leads (in this present paper, at least) to insufficient stress on computational reproducibility as a sine qua non of any higher-order quality attribute.

  19. Reading a paper this morning onlinelibrary.wiley.com/doi/10 that follows Nosek & Errington (2017) elifesciences.org/articles/233 in muddling the distinction between #replicability as a broader scientific aim vs #reproducibility as captured in the narrow (purely 'computational') idea of #reproducibleresearch discussed e.g. in a #Guix context here guix.gnu.org/cookbook/en/html_.

    This mistake is not uncommon, and leads (in this present paper, at least) to insufficient stress on computational reproducibility as a sine qua non of any higher-order quality attribute.

  20. Reading a paper this morning onlinelibrary.wiley.com/doi/10 that follows Nosek & Errington (2017) elifesciences.org/articles/233 in muddling the distinction between #replicability as a broader scientific aim vs #reproducibility as captured in the narrow (purely 'computational') idea of #reproducibleresearch discussed e.g. in a #Guix context here guix.gnu.org/cookbook/en/html_.

    This mistake is not uncommon, and leads (in this present paper, at least) to insufficient stress on computational reproducibility as a sine qua non of any higher-order quality attribute.

  21. A new article by Chloe Patton shows how debates about #OpenScience often slip into absurdity – like demanding #replication from the #Humanities. You can’t replicate history, culture, or interpretation the way you replicate a physics experiment. It’s a different kind of knowledge.

    :doi: doi.org/10.1093/reseval/rvaf052

    Forcing STEM-style standards onto the humanities doesn’t improve #science – it just adds bureaucracy and limits academic freedom.

    #Reproducibility #ResearchEvaluation #Replicability

  22. A new article by Chloe Patton shows how debates about #OpenScience often slip into absurdity – like demanding #replication from the #Humanities. You can’t replicate history, culture, or interpretation the way you replicate a physics experiment. It’s a different kind of knowledge.

    :doi: doi.org/10.1093/reseval/rvaf052

    Forcing STEM-style standards onto the humanities doesn’t improve #science – it just adds bureaucracy and limits academic freedom.

    #Reproducibility #ResearchEvaluation #Replicability

  23. A new article by Chloe Patton shows how debates about #OpenScience often slip into absurdity – like demanding #replication from the #Humanities. You can’t replicate history, culture, or interpretation the way you replicate a physics experiment. It’s a different kind of knowledge.

    :doi: doi.org/10.1093/reseval/rvaf052

    Forcing STEM-style standards onto the humanities doesn’t improve #science – it just adds bureaucracy and limits academic freedom.

    #Reproducibility #ResearchEvaluation #Replicability

  24. A new article by Chloe Patton shows how debates about #OpenScience often slip into absurdity – like demanding #replication from the #Humanities. You can’t replicate history, culture, or interpretation the way you replicate a physics experiment. It’s a different kind of knowledge.

    :doi: doi.org/10.1093/reseval/rvaf052

    Forcing STEM-style standards onto the humanities doesn’t improve #science – it just adds bureaucracy and limits academic freedom.

    #Reproducibility #ResearchEvaluation #Replicability

  25. A new article by Chloe Patton shows how debates about #OpenScience often slip into absurdity – like demanding #replication from the #Humanities. You can’t replicate history, culture, or interpretation the way you replicate a physics experiment. It’s a different kind of knowledge.

    :doi: doi.org/10.1093/reseval/rvaf052

    Forcing STEM-style standards onto the humanities doesn’t improve #science – it just adds bureaucracy and limits academic freedom.

    #Reproducibility #ResearchEvaluation #Replicability

  26. Have you checked out our #OpenScience Bites #podcast yet? Stay tuned!

    Very soon, we’ll be talking with Felipe Romero, Assistant Professor at the Faculty of #Philosophy. From a #MetaScience perspective, we’ll dive into the concepts of #reproducibility and #replicability, and why they matter for #research practice.

    We’ll let you know as soon as the new episode is online!

    In the meantime, feel free to listen to our earlier episodes:

    🎧 rug.nl/research/openscience/po

    #PublicEngagement #OpenEducation

  27. Have you checked out our #OpenScience Bites #podcast yet? Stay tuned!

    Very soon, we’ll be talking with Felipe Romero, Assistant Professor at the Faculty of #Philosophy. From a #MetaScience perspective, we’ll dive into the concepts of #reproducibility and #replicability, and why they matter for #research practice.

    We’ll let you know as soon as the new episode is online!

    In the meantime, feel free to listen to our earlier episodes:

    🎧 rug.nl/research/openscience/po

    #PublicEngagement #OpenEducation

  28. Have you checked out our #OpenScience Bites #podcast yet? Stay tuned!

    Very soon, we’ll be talking with Felipe Romero, Assistant Professor at the Faculty of #Philosophy. From a #MetaScience perspective, we’ll dive into the concepts of #reproducibility and #replicability, and why they matter for #research practice.

    We’ll let you know as soon as the new episode is online!

    In the meantime, feel free to listen to our earlier episodes:

    🎧 rug.nl/research/openscience/po

    #PublicEngagement #OpenEducation

  29. Have you checked out our #OpenScience Bites #podcast yet? Stay tuned!

    Very soon, we’ll be talking with Felipe Romero, Assistant Professor at the Faculty of #Philosophy. From a #MetaScience perspective, we’ll dive into the concepts of #reproducibility and #replicability, and why they matter for #research practice.

    We’ll let you know as soon as the new episode is online!

    In the meantime, feel free to listen to our earlier episodes:

    🎧 rug.nl/research/openscience/po

    #PublicEngagement #OpenEducation

  30. Have you checked out our #OpenScience Bites #podcast yet? Stay tuned!

    Very soon, we’ll be talking with Felipe Romero, Assistant Professor at the Faculty of #Philosophy. From a #MetaScience perspective, we’ll dive into the concepts of #reproducibility and #replicability, and why they matter for #research practice.

    We’ll let you know as soon as the new episode is online!

    In the meantime, feel free to listen to our earlier episodes:

    🎧 rug.nl/research/openscience/po

    #PublicEngagement #OpenEducation

  31. How Scrutiny and Iteration Made Behavioral Economics Better chicagobooth.edu/review/how-sc
    "However, direct #replicability should not be confused with #generalizability or universality. While the basic patterns of behavior documented in the original experiments reliably show up in subsequent replications, their magnitudes can vary substantially across contexts. Loss aversion might be stronger in some settings than in others. Understanding this variation has become a central focus of contemporary behavioral economics research. Rather than viewing such #heterogeneity as a challenge to the field’s foundations, researchers increasingly see it as a source of insight into the underlying psychological mechanisms driving behavioral anomalies."
    #BehavioralEconomics

  32. How Scrutiny and Iteration Made Behavioral Economics Better chicagobooth.edu/review/how-sc
    "However, direct #replicability should not be confused with #generalizability or universality. While the basic patterns of behavior documented in the original experiments reliably show up in subsequent replications, their magnitudes can vary substantially across contexts. Loss aversion might be stronger in some settings than in others. Understanding this variation has become a central focus of contemporary behavioral economics research. Rather than viewing such #heterogeneity as a challenge to the field’s foundations, researchers increasingly see it as a source of insight into the underlying psychological mechanisms driving behavioral anomalies."
    #BehavioralEconomics

  33. How Scrutiny and Iteration Made Behavioral Economics Better chicagobooth.edu/review/how-sc
    "However, direct #replicability should not be confused with #generalizability or universality. While the basic patterns of behavior documented in the original experiments reliably show up in subsequent replications, their magnitudes can vary substantially across contexts. Loss aversion might be stronger in some settings than in others. Understanding this variation has become a central focus of contemporary behavioral economics research. Rather than viewing such #heterogeneity as a challenge to the field’s foundations, researchers increasingly see it as a source of insight into the underlying psychological mechanisms driving behavioral anomalies."
    #BehavioralEconomics

  34. How Scrutiny and Iteration Made Behavioral Economics Better chicagobooth.edu/review/how-sc
    "However, direct #replicability should not be confused with #generalizability or universality. While the basic patterns of behavior documented in the original experiments reliably show up in subsequent replications, their magnitudes can vary substantially across contexts. Loss aversion might be stronger in some settings than in others. Understanding this variation has become a central focus of contemporary behavioral economics research. Rather than viewing such #heterogeneity as a challenge to the field’s foundations, researchers increasingly see it as a source of insight into the underlying psychological mechanisms driving behavioral anomalies."
    #BehavioralEconomics

  35. How Scrutiny and Iteration Made Behavioral Economics Better chicagobooth.edu/review/how-sc
    "However, direct #replicability should not be confused with #generalizability or universality. While the basic patterns of behavior documented in the original experiments reliably show up in subsequent replications, their magnitudes can vary substantially across contexts. Loss aversion might be stronger in some settings than in others. Understanding this variation has become a central focus of contemporary behavioral economics research. Rather than viewing such #heterogeneity as a challenge to the field’s foundations, researchers increasingly see it as a source of insight into the underlying psychological mechanisms driving behavioral anomalies."
    #BehavioralEconomics

  36. Even discounting bad faith and charlatans, in the biological sciences (which I am familiar with) and probably other research, we get results... but even with meticulous lab books, it's hard to reproduce the exact same experiment and replicate the exact same results. Because we really don't know all the variables
    #Science #Experiments #Replicability

    Unreplicable results are an open secret | Dynamic Ecology

    dynamicecology.wordpress.com/2

  37. Even discounting bad faith and charlatans, in the biological sciences (which I am familiar with) and probably other research, we get results... but even with meticulous lab books, it's hard to reproduce the exact same experiment and replicate the exact same results. Because we really don't know all the variables
    #Science #Experiments #Replicability

    Unreplicable results are an open secret | Dynamic Ecology

    dynamicecology.wordpress.com/2

  38. Even discounting bad faith and charlatans, in the biological sciences (which I am familiar with) and probably other research, we get results... but even with meticulous lab books, it's hard to reproduce the exact same experiment and replicate the exact same results. Because we really don't know all the variables
    #Science #Experiments #Replicability

    Unreplicable results are an open secret | Dynamic Ecology

    dynamicecology.wordpress.com/2

  39. Even discounting bad faith and charlatans, in the biological sciences (which I am familiar with) and probably other research, we get results... but even with meticulous lab books, it's hard to reproduce the exact same experiment and replicate the exact same results. Because we really don't know all the variables
    #Science #Experiments #Replicability

    Unreplicable results are an open secret | Dynamic Ecology

    dynamicecology.wordpress.com/2

  40. Even discounting bad faith and charlatans, in the biological sciences (which I am familiar with) and probably other research, we get results... but even with meticulous lab books, it's hard to reproduce the exact same experiment and replicate the exact same results. Because we really don't know all the variables
    #Science #Experiments #Replicability

    Unreplicable results are an open secret | Dynamic Ecology

    dynamicecology.wordpress.com/2

  41. New I4R discussion paper by Philipp Knöpfle, @drfollowmario, and me: "A Replication Report on "Political polarization of news media and
    influencers on Twitter in the 2016 and 2020 US presidential elections" by Flamino et al. 2023
    econstor.eu/handle/10419/31983
    #replicability #computationalsocialscience

  42. New I4R discussion paper by Philipp Knöpfle, @drfollowmario, and me: "A Replication Report on "Political polarization of news media and
    influencers on Twitter in the 2016 and 2020 US presidential elections" by Flamino et al. 2023
    econstor.eu/handle/10419/31983
    #replicability #computationalsocialscience

  43. New I4R discussion paper by Philipp Knöpfle, @drfollowmario, and me: "A Replication Report on "Political polarization of news media and
    influencers on Twitter in the 2016 and 2020 US presidential elections" by Flamino et al. 2023
    econstor.eu/handle/10419/31983
    #replicability #computationalsocialscience

  44. New I4R discussion paper by Philipp Knöpfle, @drfollowmario, and me: "A Replication Report on "Political polarization of news media and
    influencers on Twitter in the 2016 and 2020 US presidential elections" by Flamino et al. 2023
    econstor.eu/handle/10419/31983
    #replicability #computationalsocialscience

  45. New I4R discussion paper by Philipp Knöpfle, @drfollowmario, and me: "A Replication Report on "Political polarization of news media and
    influencers on Twitter in the 2016 and 2020 US presidential elections" by Flamino et al. 2023
    econstor.eu/handle/10419/31983
    #replicability #computationalsocialscience