Konstantinos V Katsikopoulos
Biographic Data
| ID | 969377 |
|---|---|
| NAME | Konstantinos V Katsikopoulos |
| GIVEN NAMES | Konstantinos V |
| FAMILY NAME | Katsikopoulos |
| SIGNATURE | KATSIKOPOULOS K V |
| AFFILIATIONS | University of Southampton |
| ORCID | 0000-0002-9572-1980 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Anticipating futures
Businesses, planners and policy makers must make decisions that influence a future about which they have incomplete knowledge. Whilst knowing the future may be illusive, the capacity to adapt as required, is desirable for both organisations and society. We examine what different perspectives can offer, considering how empirical-analytical (e.g., modelling, data), narrative-experiential (e.g., fiction, history, gaming), and socio-technological (e.…
Bring digital twins back to Earth
We reflect on the development of digital twins of the Earth, which we associate with a reductionist view of nature as a machine. The projects of digital twins deviate from contemporary scientific paradigms in the treatment of complexity and uncertainty, and does not engage with critical and interpretative social sciences. We contest the utility of digital twins for addressing climate change issues and discuss societal risks associated with the co…
Strategic Interaction
Cognitive Operations
Book examines how people make decisions under risk and uncertainty in operational settings and opens the black box by specifying the cognitive processes
How flood preparedness among Jordanian citizens is influenced by self-efficacy, sense of community, experience, communication, trust and training
Cognitive Operations
All policies are wrong, but some are useful—and which ones do no harm
The five of us research and teach risk analysis with an eye towards decision support. Our work has been dedicated to taming risks and helping to make challenging decisions. But nothing had prepared us for the Covid-19 pandemic. We first had to grapple with the news coming from abroad, including, for some of us, our home countries. Then, some information and research, but mostly opinions, started coming in from our academic community, and we felt …
A signal-detection approach to modeling forgiveness decisions
Evaluative polarity words in risky choice framing
Uncertainty, Decision Science, and Policy Making
The financial crisis of 2008 was unforeseen partly because the academic theories that underpin policy making do not sufficiently account for uncertainty and complexity or learned and evolved human capabilities for managing them. Mainstream theories of decision making tend to be strongly normative and based on wishfully unrealistic “idealized” modeling. In order to develop theories of actual decision making under uncertainty, we need new methodolo…
The Conceptual Connection between Lens Models and Fast and Frugal Heuristics
I explore the conceptual connection between two judgment- and decision-making research programs: social judgment theory and fast and frugal heuristics. I point out that a main difference is in the modeling of the cues-to-criterion function that describes the organism (lens in Brunswikian jargon). Social judgment theorists typically use linear models while the fast and frugal program employs heuristics. I ask two questions: Can fast and frugal heu…
From Meehl to Fast and Frugal Heuristics (and Back)
It is difficult to overestimate Paul Meehl's influence on judgment and decision-making research. His `disturbing little book' (Meehl, 1986, p. 370) Clinical versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence (1954) is known as an attack on human judgment and a call for replacing clinicians with actuarial methods. More than 40 years later, fast and frugal heuristics—proposed as models of human judgment—were formaliz…
“A 30% Chance of Rain Tomorrow”
The weather forecast says that there is a "30% chance of rain," and we think we understand what it means. This quantitative statement is assumed to be unambiguous and to convey more information than does a qualitative statement like "It might rain tomorrow." Because the forecast is expressed as a single-event probability, however, it does not specify the class of events it refers to. Therefore, even numerical probabilities can be interpreted by m…
Anticipating futures
Businesses, planners and policy makers must make decisions that influence a future about which they have incomplete knowledge. Whilst knowing the future may be illusive, the capacity to adapt as required, is desirable for both organisations and society. We examine what different perspectives can offer, considering how empirical-analytical (e.g., modelling, data), narrative-experiential (e.g., fiction, history, gaming), and socio-technological (e.…
Bring digital twins back to Earth
We reflect on the development of digital twins of the Earth, which we associate with a reductionist view of nature as a machine. The projects of digital twins deviate from contemporary scientific paradigms in the treatment of complexity and uncertainty, and does not engage with critical and interpretative social sciences. We contest the utility of digital twins for addressing climate change issues and discuss societal risks associated with the co…
Evaluative polarity words in risky choice framing
“A 30% Chance of Rain Tomorrow”
The weather forecast says that there is a "30% chance of rain," and we think we understand what it means. This quantitative statement is assumed to be unambiguous and to convey more information than does a qualitative statement like "It might rain tomorrow." Because the forecast is expressed as a single-event probability, however, it does not specify the class of events it refers to. Therefore, even numerical probabilities can be interpreted by m…
From Meehl to Fast and Frugal Heuristics (and Back)
It is difficult to overestimate Paul Meehl's influence on judgment and decision-making research. His `disturbing little book' (Meehl, 1986, p. 370) Clinical versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence (1954) is known as an attack on human judgment and a call for replacing clinicians with actuarial methods. More than 40 years later, fast and frugal heuristics—proposed as models of human judgment—were formaliz…
The Conceptual Connection between Lens Models and Fast and Frugal Heuristics
I explore the conceptual connection between two judgment- and decision-making research programs: social judgment theory and fast and frugal heuristics. I point out that a main difference is in the modeling of the cues-to-criterion function that describes the organism (lens in Brunswikian jargon). Social judgment theorists typically use linear models while the fast and frugal program employs heuristics. I ask two questions: Can fast and frugal heu…
Uncertainty, Decision Science, and Policy Making
The financial crisis of 2008 was unforeseen partly because the academic theories that underpin policy making do not sufficiently account for uncertainty and complexity or learned and evolved human capabilities for managing them. Mainstream theories of decision making tend to be strongly normative and based on wishfully unrealistic “idealized” modeling. In order to develop theories of actual decision making under uncertainty, we need new methodolo…
Evaluative polarity words in risky choice framing
A signal-detection approach to modeling forgiveness decisions
All policies are wrong, but some are useful—and which ones do no harm
The five of us research and teach risk analysis with an eye towards decision support. Our work has been dedicated to taming risks and helping to make challenging decisions. But nothing had prepared us for the Covid-19 pandemic. We first had to grapple with the news coming from abroad, including, for some of us, our home countries. Then, some information and research, but mostly opinions, started coming in from our academic community, and we felt …
Strategic Interaction
Cognitive Operations
Book examines how people make decisions under risk and uncertainty in operational settings and opens the black box by specifying the cognitive processes
How flood preparedness among Jordanian citizens is influenced by self-efficacy, sense of community, experience, communication, trust and training
Cognitive Operations
Bring digital twins back to Earth
We reflect on the development of digital twins of the Earth, which we associate with a reductionist view of nature as a machine. The projects of digital twins deviate from contemporary scientific paradigms in the treatment of complexity and uncertainty, and does not engage with critical and interpretative social sciences. We contest the utility of digital twins for addressing climate change issues and discuss societal risks associated with the co…
Anticipating futures
Businesses, planners and policy makers must make decisions that influence a future about which they have incomplete knowledge. Whilst knowing the future may be illusive, the capacity to adapt as required, is desirable for both organisations and society. We examine what different perspectives can offer, considering how empirical-analytical (e.g., modelling, data), narrative-experiential (e.g., fiction, history, gaming), and socio-technological (e.…
Psychology (7 works) · Computer Science (6 works) · Law (6 works) · Political science (6 works) · Risk Perception and Management (5 works) · Sociology (5 works) · Decision-Making and Behavioral Economics (4 works) · Economics (4 works) · Artificial Intelligence (3 works) · Cognition (3 works)