Anamaria Berea

University of Central Florida

Dr. Berea holds a Ph.D. in economics (2010) and computational social science (2012) and her current research is focused on the emergence of communication in biological and social networks, by applying theories and methods from economics, complex systems, and information theory to understand fundamental patterns of communication in both living and non-living systems. She is an interdisciplinary scientist and uses a wide range of computational methods (agent-based modeling, network analysis, predictive analytics, natural language processing techniques, Bayesian Networks, semantic analyses and machine learning) as well as complex science and economic modeling to study heterogeneous, noisy, complex systems phenomena.

1books edited

2chapters authored

Latest work with IntechOpen by Anamaria Berea

This book is an interdisciplinary effort to understand the evolution of communication from cells to societies, both in living organisms and in non-living ones, such as designed or emergent systems from socio-technological innovations (i.e., digital communication, institutional communication). It aims to provide better understanding of the universal versus contextual patterns of communication that we can potentially classify and identify if we look deeper into the history and evolution of this phenomenon at large. Novel research from a variety of disciplines, such as information theory, biology, linguistics, culture and social science that take a complex perspective is being explored, for an integrated understanding of what communication is at a fundamental level.

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A Complex Systems Perspective of Communication from Cells to Societies

Edited by Anamaria Berea

Chapters authored

A Bayesian Model for Investment Decisions in Early Ventures

By Anamaria Berea and Daniel Maxwell

In this research, we present a Bayesian model to aid the investment decision in early stage start-ups and ventures. This model addresses both the venture and the angel investing markets. The model is informed both by previous academic literature on entrepreneurship and by venture capital investment practices. The model is validated through an anonymized experiment where reviewers with previous experience in entrepreneurship or investment or both scored a list of 20 anonymous real companies for which we knew the outcome a priori. The experiment revealed that the model and online scoring platform that we built provide an accuracy of 83% in identifying companies that would later on fail and where the investments would be lost. The model also performs fairly well in identifying companies where the investors would not lose their money but they would either have to wait for a very long time on their returns or they would not receive large return on investment (ROI), and we also show that the model performs modestly in identifying “big exit” companies or companies where the investors would receive high ROI and in a fairly short amount of time.

Part of the book: Bayesian Inference

Introductory Chapter: The Role of Communication as a Fundamental Process for Life and Society

By Anamaria Berea

Part of the book: A Complex Systems Perspective of Communication from Cells to Societies

Anamaria Berea

Latest work with IntechOpen by Anamaria Berea

A Complex Systems Perspective of Communication from Cells to Societies

Chapters authored

Related collaborators

Hafedh Ben Zaabza

Steven Kim

Sien Chen

Mengxi Chen

Abderrahmen Ben Gara

Jie Cheng

Junjiang Zhong

Daniel Maxwell

Boulbaba Rekik

Wenqiang Huang