Evidence map›Paper›PMID 36994083›Full record

ReviewiScience2023

The state of macro-energy systems research: Common critiques, current progress, and research priorities.

Rachel Moglen, Kiran Prakash Chawla, Patricia Levi, Yinong Sun, Oladoyin Phillips, Benjamin D Leibowicz, Jesse D Jenkins, Emily A Grubert

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PubMed Full text at PMC Publisher
In one paragraph

Review in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rachel MoglenOperations Research and Industrial Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Kiran Prakash ChawlaStanford Law School and Emmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, CA 94305, USA.
Patricia LeviForm Energy, Berkeley, CA 94710, USA.
Yinong SunEnvironmental Health and Engineering Department, Johns Hopkins University, Baltimore, MD 21205, USA.
Oladoyin PhillipsSchool of Public and International Affairs Center for Policy Research on Energy & Environment and Andlinger Center for Energy and the Environment, Princeton University, Princeton, NJ 08544, USA.
Benjamin D LeibowiczOperations Research and Industrial Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Jesse D JenkinsDepartment of Mechanical and Aerospace Engineering and Andlinger Center for Energy and the Environment, Princeton University, Princeton, NJ 08544, USA.
Emily A GrubertKeough School of Global Affairs, University of Notre Dame, Notre Dame, IN 46556, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing field of macro-energy systems (MES) brings together the interdisciplinary community of researchers studying the equitable and low-carbon future of humanity's energy systems. As MES matures as a community of scholars, a coherent consensus about the key challenges and future directions of the field can be lacking. This paper is a response to this need. In this paper, we first discuss the primary critiques of model-based MES research that have emerged because MES was proposed as a way to unify related interdisciplinary research. We discuss these critiques and current efforts to address them by the coalescing MES community. We then outline future directions for growth motivated by these critiques. These research priorities include both best practices for the community and methodological improvements.

Indexed as

Energy managementEnergy modelingEnergy policyEnergy systems

Identifiers

PMID36994083
PMCPMC10040701

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.