PNAS issue “Sustaining the Commons” reports on a set of pre-registered, harmonized RCTs in 6 countries to assess how community monitoring of common pool resources can lead to better resource outcomes.
Issue: bit.ly/3keVi2b
3-min video:
[1/11] Image
@gotonura & I on what we can learn from the Special Feature, incl. the challenges of developing generalizable knowledge about institutions in complex social-ecological systems & of synthesizing empirical evidence in sustainability science [2/11]
pnas.org/content/118/29… Image
#Meta-analysis: @tara_slough @dktr_dr @RoeeLevyZ & country teams use all the data for Big Picture meta-analysis. Read the individual studies below to see full richness of lessons learned about mechanisms & moderators of impacts across contexts. [3/11]
pnas.org/content/118/29… Image
@cbb2cornell on the uses and misuses of experimental designs and a celebration of the powerful potential of design-based sustainability science studies. #openscience #EvidenceSynthesis [4/11]
pnas.org/content/118/29…
@deankarlan @chrisudry @Monica_Lambon & E Asiedu explore ethics in social science experimentation & propose that researchers use structured ethics appendices for more complete communication of the ethics of their experiments. [5/11]
pnas.org/content/118/29…
#Forests in #Liberia: @darinchr @cdsamii & Alexandra Hartman evaluate a program the helps citizens monitor communally managed forests and make forest governance more inclusive. [6/11]
pnas.org/content/118/29… Image
#Forests in #Uganda: @SabrinaEisenba @anoukrigterink & Louis Graham evaluate community-led monitoring of the forest and explore whether monitoring leads to displacement of deforestation to unmonitored areas. [7/11]
pnas.org/content/118/29… Image
#Forests in #Peru: @tara_slough @jurpelai @JacobKopas evaluate what happens when remote-sensed deforestation alerts with high-frequency information on tree cover loss in the Amazon are given to local communities. [8/11]
pnas.org/content/118/29… Image
#Water in #China:@MarkBuntaine @nju_zhangbing & Patrick Hunnicutt evaluate whether volunteers enlisted to monitor the quality of urban waterways can help improve water quality. [9/11]
pnas.org/content/118/29… Image
#Water in #CostaRica: Maria Bernedo del Carpio @falpizar and I evaluate an externally encouraged, community-based monitoring program to improve groundwater management. [10/11]
pnas.org/content/118/29… Image
#Water in #Brazil: @AliciaCooperma2 @BrigitteSeim & A McLarty conduct multi-methods exploratory research to determine what factors are associated with variation in uptake of community monitoring of groundwater. [11/11]
pnas.org/content/118/29… Image

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More from @pauljferraro

Oct 7, 2021
In ecology, observational researchers seem to think no assumptions can allow you to interpret a correlation as a causal relationship, and experimentalists seem to think you don't have to make any assumptions to do the same. Wrong. Both groups need to make same assumptions!👇[1/7]
Contrast this paper about ecological experiments from @LauraEllenDee @MeghanAvolio K.Kimmel

doi.org/10.1016/j.tree…

with this paper about observational designs from @MartySmithDuke J.Sanchirico

doi.org/10.1073/pnas.1…

Same assumptions! [2/7]
All causal analyses need to address plausibility of “excludability” assumption – whatever drives variation in causal variable (like experimental manipulation) has no effect on outcome except via causal variable. See papers above for what to do when assumption is violated. [3/7]
Read 7 tweets

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