About

Anthony Fisher is Professor of the Graduate School in the Department of Agricultural and Resource Economics at the University of California at Berkeley. He has researched, taught, and consulted in the field of environmental and resource economics since 1977. His areas of specialization include the theory and practice of environmental resource valuation, the theory of exhaustible resource extraction and exploration, energy and economy modeling, and the allocation of ground and surface water, especially under drought conditions. His recent research primarily focuses on aspects of the economics of climate change. Professor Fisher has served on the Board of Directors, as Vice President, and as President of the Association of Environmental and Resource Economists, and is a Fellow of the Association. He currently serves on the editorial boards of several journals in the field and has served on committees of the National Academy of Sciences and on the National Science Foundation’s panel for the program on global environmental change. He has published extensively in both general economics journals and in journals specializing in environmental and resource economics. His book, 'Resource and Environmental Economics,' published by Cambridge University Press, has been widely used in graduate courses in the United States and abroad. His article, 'Environmental Preservation, Uncertainty, and Irreversibility,' co-authored with Kenneth Arrow and published in the Quarterly Journal of Economics, received the 1995 award for publication of enduring quality from the Association of Environmental and Resource Economists.

Research topics

• Computer Science
• Artificial Intelligence
• Cognitive psychology
• Biology
• Psychology
• Ecology
• Clinical psychology
• Epistemology

Selected publications

• Assessing Group-To-Individual Generalizability in Biological Psychiatry

  Biological Psychiatry · 2025-04-09

  article
  PublisherDOI

• Establishing minimally sufficient conditions reduces the complexity of symptom presentations in Diagnostic and Statistical Manual of Mental Disorders internalizing disorders.

  Journal of Psychopathology and Clinical Science · 2025-10-06 · 1 citations

  article1st authorCorresponding

  = 6,656), sufficient sets were identified at p ≥ .90 and tested in the holdout data. Results yielded an average conditional probability of .91 (SD = .03), reinforcing the robustness and generalizability of the current methods. These results suggest that a large amount of the heterogeneity in symptom combinations in internalizing disorders may be nested and reducible. Thus, much of the combinatorial information in the symptom presentations of these disorders may be overlapping and there may be core features of psychopathology that are sufficient to produce fidelity without requiring additional complexity. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

  PublisherDOI

• The Natural History Study and Biomarker Collection of the Clinical Research Consortium for the Study of Cerebellar Ataxia (CRC-SCA)

  The Cerebellum · 2025-07-18

  reviewOpen access
  PublisherOA PDFDOI

• ESM-Q: A Consensus-Based Quality Assessment Tool for Experience Sampling Method Items

  2025-02-17

  preprintOpen access

  The Experience Sampling Method (ESM) is increasingly used by researchers from various disciplines to answer novel questions about individuals’ daily lives. Measurement best practices have long been overlooked in ESM research, and recent reviews show that item quality is often not reported in ESM studies. The absence of information about item quality may partly be explained by the lack of consensus on how ESM item quality should be evaluated. As part of the ESM Item Repository project (esmitemrepository.com) — an international open science initiative that collects ESM items in an open item bank and evaluates their quality — we brought together 42 international ESM experts to develop an ESM item quality assessment tool. In four Delphi phases, experts suggested 57 item quality criteria, rated the criteria, provided arguments for and against the criteria, and rated the criteria again, considering reflections from other experts. The result of the Delphi process is ESM-Q: A quality assessment tool consisting of 10 core criteria, as well as an additional 15 supplementary criteria, to be used depending on the type of items being rated and the availability of supplementary information. The criteria cover topics ranging from construct validity to the optimal wording of items. ESM-Q can aid ESM researchers in selecting existing ESM items, developing new high-quality ESM items, and evaluating the quality of ESM items in systematic reviews. Expert reflections also highlight open research questions surrounding ESM item design that form a research agenda for ESM measurement.

  PublisherDOI

• Daily life fluctuations in affect predict within-person changes in a real-world measure of cognitive processing speed

  2025-04-15

  preprintOpen access

  Background: Considerable research points to a deleterious effect of negative affect oncognition. However, most evidence comes from experimental induction paradigms thatcannot separate between- and within-person processes and have unclear implications forcognitive performance in the real world. Ecological momentary assessment (EMA)studies can address this gap, allowing us to generate time-series data that can distinguishtrait and state-like mechanisms, provide temporal evidence for causation, and bridge thedivide between lab and life. Here, we developed a microlongitudinal design to examinethe between- and within-person (contemporaneous and time-lagged) relationshipsbetween affect and a real-world measure of cognitive processing speed. Methods: We analyzed three separate EMA datasets. Across these studies, a total of 914 participants(70.89% female) between 18 and 82 years tracked negative and positive affect 2 or 3times daily, for 6 or 8 weeks, completing between 63 and 126 assessments each. Weused a recently validated method to derive cognitive processing speed from digitalquestionnaire response time (DQRT). Multilevel vector autoregressive models were usedfor analysis. Results: Affect and DQRT were related between-person; people with higheraverage negative affect were slower in responding to survey items overall; with theopposite for positive affect (partial correlation range: -0.299 – 0.541, P-FDR-corrected <0.05). This was observed for 36/37 affective items assessed. At the within-person level,DQRT was slower when negative affect increased and positive affect decreased (partialcorrelation range: -0.135 – 0.129, P-FDR-corrected < 0.05; significant in 34/37 items). Inlagged analyses, higher negative affect (and lower positive affect) predicted slower DQRTat the next time point (5 to 12 hours later) (β estimate range: -0.027 to 0.067, P-FDR-corrected < 0.05) for 27/37 items. The strongest predictors of future DQRT were feelingsof worry and anxiety and there was no evidence for reverse temporal causation.Conclusion: We identified a potential causal relationship where negative affect predictsslower survey completion times. This finding may inform mechanistic accounts ofcognitive deficits in mental health disorders. Future work should examine how theseresults compare to more standard tasks for assessing information processing.

  PublisherOA PDFDOI

• What’s strength centrality got to do with it? Examining the stability of central symptoms across symptom ensembles and time in idiographic networks.

  Journal of Psychopathology and Clinical Science · 2025-04-10 · 3 citations

  articleSenior author

  = 201.90 observations per person). We estimated idiographic networks using three different item-inclusion approaches and accounted for time using a "sliding window" method (e.g., Window 1 = data from Days 1-15, Window 2 = data from Days 2-16). Items included in networks were selected in three ways: default networks (six items with the highest means at Window 1), changing means networks (six items with the highest means at each respective Window), and random ensembles (random combinations of any six items across all sliding windows). In both samples, we found that the most central symptom in the default network was central in less than half of idiographic changing means networks (maximum = 29.41% of networks). Our results show that node strength centrality estimates are sensitive to item ensemble and temporal effects. We discuss implications concerning inferences assigned to strength centrality given the frequency at which strength centrality changes and future efforts developing network-informed personalized treatment. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

  PublisherDOI

• Correction: The Natural History Study and Biomarker Collection of the Clinical Research Consortium for the Study of Cerebellar Ataxia (CRC-SCA)

  The Cerebellum · 2025-11-11

  articleOpen access
  PublisherOA PDFDOI

• Group-to-individual generalizability and individual-level inferences in cognitive neuroscience

  Neuroscience & Biobehavioral Reviews · 2025-01-30 · 12 citations

  reviewOpen access
  PublisherOA PDFDOI

• ESM-Q: A consensus-based quality assessment tool for experience sampling method items

  Behavior Research Methods · 2025-03-21 · 10 citations

  articleOpen access
  PublisherOA PDFDOI

• ESM-Q: A Consensus-Based Quality Assessment Tool for Experience Sampling Method Items

  2025-01-30

  preprintOpen access

  The Experience Sampling Method (ESM) is increasingly used by researchers from various disciplines to answer novel questions about individuals’ daily lives. Measurement best practices have long been overlooked in ESM research, and recent reviews show that item quality is often not reported in ESM studies. The absence of information about item quality may partly be explained by the lack of consensus on how ESM item quality should be evaluated. As part of the ESM Item Repository project (esmitemrepository.com) — an international open science initiative that collects ESM items in an open item bank and evaluates their quality — we brought together 42 international ESM experts to develop an ESM item quality assessment tool. In four Delphi phases, experts suggested 57 item quality criteria, rated the criteria, provided arguments for and against the criteria, and rated the criteria again, considering reflections from other experts. The result of the Delphi process is ESM-Q: A quality assessment tool consisting of 10 core criteria, as well as an additional 15 supplementary criteria, to be used depending on the type of items being rated and the availability of supplementary information. The criteria cover topics ranging from construct validity to the optimal wording of items. ESM-Q can aid ESM researchers in selecting existing ESM items, developing new high-quality ESM items, and evaluating the quality of ESM items in systematic reviews. Expert reflections also highlight open research questions surrounding ESM item design that form a research agenda for ESM measurement.

  PublisherDOI

Frequent coauthors

• Peter D. Soyster

  University of California, Berkeley

  26 shared

• Michelle G. Newman

  University of Maryland, Baltimore

  24 shared

• Riley McDanal

  Stony Brook University

  14 shared

• Julian Rubel

  Osnabrück University

  14 shared

• Gonzalo Salazar de Pablo

  South London and Maudsley NHS Foundation Trust

  14 shared

• C. Barr Taylor

  Craft Engineering Associates (United States)

  12 shared

• Hannah G. Bosley

  University of California, San Francisco

  11 shared

• Felice N. Jacka

  Deakin University

  10 shared

Awards & honors

• 1995 award for publication of enduring quality from the Asso…