Samuli Reijula
Biographic Data
| ID | 1068145 |
|---|---|
| NAME | Samuli Reijula |
| GIVEN NAMES | Samuli |
| FAMILY NAME | Reijula |
| SIGNATURE | REIJULA S |
| AFFILIATIONS | University of Helsinki |
| ORCID | 0000-0001-6968-5819 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 45 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Theory Choice in Epistemic Networks
In this article, we study difficult theory-choice situations, where division of cognitive labor is needed. Network epistemology models suggest that reducing connectivity is needed to prevent premature convergence on bad theories. We compare how network density, community size, strength of prior beliefs, adaptive learning methods, and weak ties influence epistemic outcomes, and show that reducing connectivity is only one possible way to improve co…
The emergence of computational social science
Has the emerging field of computational social science grown increasingly intellectually integrated over time, or does the field remain fragmented into several distinct epistemic communities? Because research literature is still inconclusive in this regard, we use data about citations to study the development of the intellectual structure of computational social science. The findings suggest that network science has maintained a central position …
Universities as Anarchic Knowledge Institutions
Universities are knowledge institutions.Compared to several other knowledge institutions (e.g.schools, government research organisations, think tanks), research universities have unusual, anarchic organisational features.We argue that such anarchic features are not a weakness.Rather, they reflect the special standing of research universities among knowledge institutions.We contend that the distributed, self-organising mode of knowledge production…
Persistent evidential discordance
Successful replication is a hallmark of scientific truth. Discordant evidence refers to the situation where findings from different studies of the same phenomenon do not agree. Although evidential discordance can spur scientific discovery, it also gives scientists a reason to rationally disagree and thereby compromises the formation of scientific consensus. Discordance indicates that facts about the phenomenon of interest remain unsettled and tha…
The division of cognitive labor and the structure of interdisciplinary problems
Interdisciplinarity is strongly promoted in science policy across the world. It is seen as a necessary condition for providing practical solutions to many pressing complex problems for which no single disciplinary approach is adequate alone. In this article we model multi- and interdisciplinary research as an instance of collective problem solving. Our goal is to provide a basic representation of this type of problem solving and chart the epistem…
Social and cognitive diversity in science
Social categories in the making
Real kinds, both natural and social categories, are characterized by rich inductive potential. They have relatively stable sets of conceptually independent projectable properties. Somewhat surprisingly, even some purely social categories (e.g., ethnicity, gender, political orientation) show such multiple projectability. The article explores the origin of the inductive richness of social categories and concepts. I argue that existing philosophical…
Argumentative landscapes
We argue that the appraisal of models in social epistemology requires conceiving of them as argumentative devices, taking into account the argumentative context and adopting a family-of-models perspective. We draw up such an account and show how it makes it easier to see the value and limits of the use of models in social epistemology. To illustrate our points, we document and explicate the argumentative role of epistemic landscape models in soci…
The Diversity-Ability Trade-Off in Scientific Problem Solving
According to the diversity-beats-ability theorem, groups of diverse problem solvers can outperform groups of high-ability problem solvers. We argue that the model introduced by Lu Hong and Scott Page is inadequate for exploring the trade-off between diversity and ability. This is because the model employs an impoverished implementation of the problem-solving task. We present a new version of the model that captures the role of ‘ability’ in a mean…
Self-nudging and the citizen choice architect
This article argues that nudges can often be turned into self-nudges: empowering interventions that enable people to design and structure their own decision environments – that is, to act as citizen choice architects. Self-nudging applies insights from behavioral science in a way that is practicable and cost-effective, but that sidesteps concerns about paternalism or manipulation. It has the potential to expand the scope of application of behavio…
What is mechanistic evidence, and why do we need it for evidence-based policy
Value of cognitive diversity in science
Value of cognitive diversity in science
The Diversity-Ability Trade-Off in Scientific Problem Solving
According to the diversity-beats-ability theorem, groups of diverse problem solvers can outperform groups of high-ability problem solvers. We argue that the model introduced by Lu Hong and Scott Page is inadequate for exploring the trade-off between diversity and ability. This is because the model employs an impoverished implementation of the problem-solving task. We present a new version of the model that captures the role of ‘ability’ in a mean…
Self-nudging and the citizen choice architect
This article argues that nudges can often be turned into self-nudges: empowering interventions that enable people to design and structure their own decision environments – that is, to act as citizen choice architects. Self-nudging applies insights from behavioral science in a way that is practicable and cost-effective, but that sidesteps concerns about paternalism or manipulation. It has the potential to expand the scope of application of behavio…
What is mechanistic evidence, and why do we need it for evidence-based policy
Argumentative landscapes
We argue that the appraisal of models in social epistemology requires conceiving of them as argumentative devices, taking into account the argumentative context and adopting a family-of-models perspective. We draw up such an account and show how it makes it easier to see the value and limits of the use of models in social epistemology. To illustrate our points, we document and explicate the argumentative role of epistemic landscape models in soci…
The division of cognitive labor and the structure of interdisciplinary problems
Interdisciplinarity is strongly promoted in science policy across the world. It is seen as a necessary condition for providing practical solutions to many pressing complex problems for which no single disciplinary approach is adequate alone. In this article we model multi- and interdisciplinary research as an instance of collective problem solving. Our goal is to provide a basic representation of this type of problem solving and chart the epistem…
Social categories in the making
Real kinds, both natural and social categories, are characterized by rich inductive potential. They have relatively stable sets of conceptually independent projectable properties. Somewhat surprisingly, even some purely social categories (e.g., ethnicity, gender, political orientation) show such multiple projectability. The article explores the origin of the inductive richness of social categories and concepts. I argue that existing philosophical…
Value of cognitive diversity in science
What is mechanistic evidence, and why do we need it for evidence-based policy
Self-nudging and the citizen choice architect
This article argues that nudges can often be turned into self-nudges: empowering interventions that enable people to design and structure their own decision environments – that is, to act as citizen choice architects. Self-nudging applies insights from behavioral science in a way that is practicable and cost-effective, but that sidesteps concerns about paternalism or manipulation. It has the potential to expand the scope of application of behavio…
Social categories in the making
Real kinds, both natural and social categories, are characterized by rich inductive potential. They have relatively stable sets of conceptually independent projectable properties. Somewhat surprisingly, even some purely social categories (e.g., ethnicity, gender, political orientation) show such multiple projectability. The article explores the origin of the inductive richness of social categories and concepts. I argue that existing philosophical…
Argumentative landscapes
We argue that the appraisal of models in social epistemology requires conceiving of them as argumentative devices, taking into account the argumentative context and adopting a family-of-models perspective. We draw up such an account and show how it makes it easier to see the value and limits of the use of models in social epistemology. To illustrate our points, we document and explicate the argumentative role of epistemic landscape models in soci…
The Diversity-Ability Trade-Off in Scientific Problem Solving
According to the diversity-beats-ability theorem, groups of diverse problem solvers can outperform groups of high-ability problem solvers. We argue that the model introduced by Lu Hong and Scott Page is inadequate for exploring the trade-off between diversity and ability. This is because the model employs an impoverished implementation of the problem-solving task. We present a new version of the model that captures the role of ‘ability’ in a mean…
The division of cognitive labor and the structure of interdisciplinary problems
Interdisciplinarity is strongly promoted in science policy across the world. It is seen as a necessary condition for providing practical solutions to many pressing complex problems for which no single disciplinary approach is adequate alone. In this article we model multi- and interdisciplinary research as an instance of collective problem solving. Our goal is to provide a basic representation of this type of problem solving and chart the epistem…
Social and cognitive diversity in science
Universities as Anarchic Knowledge Institutions
Universities are knowledge institutions.Compared to several other knowledge institutions (e.g.schools, government research organisations, think tanks), research universities have unusual, anarchic organisational features.We argue that such anarchic features are not a weakness.Rather, they reflect the special standing of research universities among knowledge institutions.We contend that the distributed, self-organising mode of knowledge production…
Persistent evidential discordance
Successful replication is a hallmark of scientific truth. Discordant evidence refers to the situation where findings from different studies of the same phenomenon do not agree. Although evidential discordance can spur scientific discovery, it also gives scientists a reason to rationally disagree and thereby compromises the formation of scientific consensus. Discordance indicates that facts about the phenomenon of interest remain unsettled and tha…
Theory Choice in Epistemic Networks
In this article, we study difficult theory-choice situations, where division of cognitive labor is needed. Network epistemology models suggest that reducing connectivity is needed to prevent premature convergence on bad theories. We compare how network density, community size, strength of prior beliefs, adaptive learning methods, and weak ties influence epistemic outcomes, and show that reducing connectivity is only one possible way to improve co…
The emergence of computational social science
Has the emerging field of computational social science grown increasingly intellectually integrated over time, or does the field remain fragmented into several distinct epistemic communities? Because research literature is still inconclusive in this regard, we use data about citations to study the development of the intellectual structure of computational social science. The findings suggest that network science has maintained a central position …
Sociology (8 works) · Political science (7 works) · Computer Science (6 works) · Epistemology (6 works) · Law (6 works) · Psychology (6 works) · Economics (5 works) · Metaphysics (5 works) · Philosophy of language (5 works) · Philosophy of science (5 works)