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Record W7160373854 · doi:10.5281/zenodo.20054750

The Crafting of Systems Knowledge at the International Institute for Applied Systems Analysis (1972–1982)

2021· dissertation· en· W7160373854 on OpenAlexaboutno aff
Michael Hutter

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnvironmental Science and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsStandardizationInternationalizationPromotion (chess)GermanInstitutionPoliticsInternational relationsDemocracySystems analysis

Abstract

fetched live from OpenAlex

The International Institute for Applied Systems Analysis (IIASA) was inaugurated in 1972 as an international and interdisciplinary research institution by twelve Eastern and Western countries during the Cold War, including the United States and the Soviet Union. Today, it is widely regarded as a pioneering knowledge hub that developed applied systems analysis as an effective and ostensibly value-neutral technique for environmental management, capable of addressing regional, national, and global challenges in industrialized societies. This thesis offers a different perspective. Drawing on extensive archival research across multiple member states, it deconstructs the notion of applied systems analysis as a powerful and neutral tool for environmental governance, and instead reconstructs its contested development within institutional, scientific, and political contexts. Focusing on three thematic areas—environment, energy, and management—the thesis traces IIASA’s efforts to unify applied systems analysis between 1972 and 1982. These standardization efforts privileged certain analytical factors while marginalizing others, reflecting divergent perspectives and competing values among the institute’s national member organizations. The thesis further demonstrates how IIASA contributed to the internationalization of environmental knowledge and the promotion of scientists as non-confrontational experts in policymaking processes. It critically examines this claim by: (i) analyzing the theoretical and institutional origins of applied systems analysis; (ii) contextualizing IIASA’s research projects during its first decade; (iii) investigating the institute’s knowledge dissemination strategies and the responses they elicited from national and international partners; and (iv) tracing how national research institutions adopted and adapted applied systems analysis for their own purposes, with a particular focus on the German Democratic Republic (GDR). Overall, this study presents a history of knowledge production and exchange characterized by friction, debate, and negotiation. It challenges the conventional portrayal of applied systems analysis as a purely technical and apolitical tool for planning and policymaking. By foregrounding the complex contexts in which it evolved, the thesis invites a more critical reflection on the relationship between science and policy, particularly in the production and use of climate knowledge for shaping a shared future. - - - All chapters examine the making and circulation of knowledge and approach the procedural nature of ASA through a case study design. Each chapter situates scientists and research programs at IIASA within their political and social contexts, highlighting divergences in how actors provisioned and understood ASA. By following researchers’ everyday practices, the thesis shows how they engaged with—and reinterpreted—the original objectives set out in the IIASA Charter and by its founders. Knowledge production and circulation are thus treated as dynamic, self-reflexive, and context-dependent processes (Figure 1.7). Chapter 1 introduces the research framework, situates the thesis within the historiography of science and knowledge production, and defines the main research questions, concepts, and methodological approach. Chapters 2–4 focus primarily on instances of knowledge production at IIASA, while Chapters 5 and 6 examine how this knowledge circulated within international and national contexts. These perspectives are analytically distinct but empirically intertwined, as processes of production and circulation continuously shaped one another. Chapter 2 examines ASA as a form of management and reconstructs the emergence of IIASA’s institutional infrastructure through the lens of postwar management ideals. It traces how systems analysis was linked to scientific management techniques and how these ideas informed both the institute’s founding arrangements and its early research practices. Chapter 3 analyzes attempts to standardize ASA through the development of a handbook. By following this process, the chapter makes visible the actors, conflicts, and detours involved in formalizing ASA, showing how efforts at unification exposed persistent disagreements about the scope and meaning of the field. Chapter 4 investigates environmental modeling through the spruce budworm case, demonstrating how specific national research contexts—here, Canada—shaped ASA practices at IIASA. It also shows how this work contributed to the emergence of resilience thinking and influenced other research areas within the institute. Chapter 5 turns to the Energy Systems Analysis project and examines how ASA knowledge was reworked through international collaboration and public controversy. It highlights how external pressures—such as the oil crisis, environmental movements, and debates over nuclear energy—entered the modeling process and reshaped its assumptions and outputs. Chapter 6 shifts the perspective to the national level by focusing on the German Democratic Republic. It analyzes how IIASA’s systems knowledge was received, adapted, and integrated into existing planning structures, and how national actors reconfigured ASA in line with their own institutional priorities, particularly in the fields of energy and agriculture. Taken together, the chapters show how ASA was assembled through situated practices, institutional negotiations, and competing interpretations, rather than simply implemented as a unified analytical framework.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.041
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.009
Science and technology studies0.0050.026
Scholarly communication0.0160.011
Open science0.0010.009
Research integrity0.0030.012
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.250
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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