Modeling the Invisible: New Methods for Unobservable Individual Perceptions

Erscheinungsjahr 2024
ISBN: 978-3-384-28168-5
Verlag: Mia Graf

Buch, Englisch, 76 Seiten, Format (B × H): 155 mm x 234 mm, Gewicht: 144 g

Modeling the Invisible" dives into the intriguing challenge of capturing the unobservable: individual perceptions. This book explores how economists, social scientists, and researchers are pushing the boundaries by developing new methods to understand these hidden influences. Imagine using advanced statistical techniques, surveys, and even online behavior analysis to indirectly gauge people's opinions, values, and motivations. "Modeling the Invisible" delves into the exciting world of these new approaches, showcasing their potential to revolutionize our understanding of individual decision-making, market trends, and social phenomena. It's a must-read for researchers, policymakers, and anyone interested in unlocking the power of hidden perceptions that shape our world.

Zielgruppe

This book is ideal for researchers, policymakers, and anyone interested in economics and social sciences. It explores innovative methods to understand the unobservable: individual perceptions that influence our world.

Autoren/Hrsg.

Finn

Über Autor(innen)

Finn
Dr. Finn is a pioneering researcher in cognitive science, on a mission to unlock the mysteries of the human mind. His work focuses on developing innovative methods to model unobservable individual perceptions, venturing beyond what people can consciously report.

Expertise:

Unobservable Perception: Dr. Finn is a leading expert in the field of unobservable perception. His research explores novel methodologies to capture internal states, implicit biases, and subconscious thought processes that traditional self-report methods often miss.
Computational Modeling: Dr. Finn leverages the power of computational modeling to translate complex psychological phenomena into quantifiable models. This allows for a deeper understanding of the underlying mechanisms driving individual perceptions.
Integration of Methods: Dr. Finn advocates for a multi-method approach, integrating techniques from cognitive science, psychometrics, and potentially neuroscience (if applicable) to build robust models of unobservable perceptions.
Key Areas of Research:

Dr. Finn's research investigates the development and validation of new methodologies, such as implicit measures, physiological measures, and ecological momentary assessment (EMA) techniques, to capture unobservable perceptions in real-time.
He explores how these models can be applied in various fields, such as behavioral economics, where understanding subconscious biases can influence decision-making.
His work delves into the ethical considerations surrounding the modeling of unobservable perceptions, ensuring responsible and unbiased research practices.