#generalizability — Public Fediverse posts

A Five-Year Milestone - Reflections On Advances And Limitations In GeoAI Research
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https://www.acsu.buffalo.edu/~yhu42/papers/2024_AnnalsofGIS_GeoAI.pdf <-- shared 2024 paper
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https://doi.org/10.1016/j.jag.2025.104368 <-- shared 2025 paper
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[GeoAI has changed markedly since this 1st paper was written, but there is still much value in what it states]
#GIS #spatial #mapping #AI #spatialanalysis #GeoAI #theory #perspectives #Giscience #geography #advances #limitations #model #modeling #spatiallyexplicit #realworld #usecase #application #problemsolving #AAG #research #appliedscience #generalizability
@AAG

A Five-Year Milestone - Reflections On Advances And Limitations In GeoAI Research
--
https://www.acsu.buffalo.edu/~yhu42/papers/2024_AnnalsofGIS_GeoAI.pdf <-- shared 2024 paper
--
https://doi.org/10.1016/j.jag.2025.104368 <-- shared 2025 paper
--
[GeoAI has changed markedly since this 1st paper was written, but there is still much value in what it states]
#GIS #spatial #mapping #AI #spatialanalysis #GeoAI #theory #perspectives #Giscience #geography #advances #limitations #model #modeling #spatiallyexplicit #realworld #usecase #application #problemsolving #AAG #research #appliedscience #generalizability
@AAG

A Five-Year Milestone - Reflections On Advances And Limitations In GeoAI Research
--
https://www.acsu.buffalo.edu/~yhu42/papers/2024_AnnalsofGIS_GeoAI.pdf <-- shared 2024 paper
--
https://doi.org/10.1016/j.jag.2025.104368 <-- shared 2025 paper
--
[GeoAI has changed markedly since this 1st paper was written, but there is still much value in what it states]
#GIS #spatial #mapping #AI #spatialanalysis #GeoAI #theory #perspectives #Giscience #geography #advances #limitations #model #modeling #spatiallyexplicit #realworld #usecase #application #problemsolving #AAG #research #appliedscience #generalizability
@AAG

A Five-Year Milestone - Reflections On Advances And Limitations In GeoAI Research
--
https://www.acsu.buffalo.edu/~yhu42/papers/2024_AnnalsofGIS_GeoAI.pdf <-- shared 2024 paper
--
https://doi.org/10.1016/j.jag.2025.104368 <-- shared 2025 paper
--
[GeoAI has changed markedly since this 1st paper was written, but there is still much value in what it states]
#GIS #spatial #mapping #AI #spatialanalysis #GeoAI #theory #perspectives #Giscience #geography #advances #limitations #model #modeling #spatiallyexplicit #realworld #usecase #application #problemsolving #AAG #research #appliedscience #generalizability
@AAG

A Five-Year Milestone - Reflections On Advances And Limitations In GeoAI Research
--
https://www.acsu.buffalo.edu/~yhu42/papers/2024_AnnalsofGIS_GeoAI.pdf <-- shared 2024 paper
--
https://doi.org/10.1016/j.jag.2025.104368 <-- shared 2025 paper
--
[GeoAI has changed markedly since this 1st paper was written, but there is still much value in what it states]
#GIS #spatial #mapping #AI #spatialanalysis #GeoAI #theory #perspectives #Giscience #geography #advances #limitations #model #modeling #spatiallyexplicit #realworld #usecase #application #problemsolving #AAG #research #appliedscience #generalizability
@AAG

How Scrutiny and Iteration Made Behavioral Economics Better https://www.chicagobooth.edu/review/how-scrutiny-iteration-made-behavioral-economics-better
"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

How Scrutiny and Iteration Made Behavioral Economics Better https://www.chicagobooth.edu/review/how-scrutiny-iteration-made-behavioral-economics-better
"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

How Scrutiny and Iteration Made Behavioral Economics Better https://www.chicagobooth.edu/review/how-scrutiny-iteration-made-behavioral-economics-better
"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

How Scrutiny and Iteration Made Behavioral Economics Better https://www.chicagobooth.edu/review/how-scrutiny-iteration-made-behavioral-economics-better
"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

How Scrutiny and Iteration Made Behavioral Economics Better https://www.chicagobooth.edu/review/how-scrutiny-iteration-made-behavioral-economics-better
"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

Also I am looking forward to seeing more modelling of photons emitted by different materials. #generalizability of simulation techniques is important

#physics #research #science #sciencereform

Can cognitive #neuroscience solve the lab-dilemma by going wild? https://www.sciencedirect.com/science/article/abs/pii/S0149763423004323 On #reproducibility #measurability #refutability #generalizability and going #mobile & #wearable.

Can cognitive #neuroscience solve the lab-dilemma by going wild? https://www.sciencedirect.com/science/article/abs/pii/S0149763423004323 On #reproducibility #measurability #refutability #generalizability and going #mobile & #wearable.

Can cognitive #neuroscience solve the lab-dilemma by going wild? https://www.sciencedirect.com/science/article/abs/pii/S0149763423004323 On #reproducibility #measurability #refutability #generalizability and going #mobile & #wearable.

Can cognitive #neuroscience solve the lab-dilemma by going wild? https://www.sciencedirect.com/science/article/abs/pii/S0149763423004323 On #reproducibility #measurability #refutability #generalizability and going #mobile & #wearable.

Can cognitive #neuroscience solve the lab-dilemma by going wild? https://www.sciencedirect.com/science/article/abs/pii/S0149763423004323 On #reproducibility #measurability #refutability #generalizability and going #mobile & #wearable.

#Competition and #moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs http://d.repec.org/n?u=RePEc:zbw:ifwkie:272340&r=exp
… finds substantial design #heterogeneity—estimated to be about 1.6 times as large as the average standard error of effect size estimates of the 45 research designs—indicating that the informativeness and #generalizability of results based on a single experimental design are limited.

#ExperimentalEcon

3/
Want more?

Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.

3/
Want more?

Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.

3/
Want more?

Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.

3/
Want more?

Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.

3/
Want more?

Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.

Suppose you want to extend causal inferences from a randomized trial to a target population.

Is that #transportability or #generalizability?

Issa Dahabreh and I proposed an answer in this brief commentary in the European Journal of Epidemiology:
https://ncbi.nlm.nih.gov/pubmed/31218483

#Introduction
I’m an F32 Postdoctoral Fellow. Currently, trying to evaluate some measurement questions (e.g., invariance, convergence, prediction) using task fMRI & self-report data. Broadly, interested in reward processing, #neurodevelopment, #fmri #openscience & #generalizability.

Goals are to learn, collaborate, pay it forward & produce something that more than 13 people will read. 🎈