Technosignatures for Detecting Intelligent Life in Our Universe

Anamaria Berea holds a PhD in economics (2010) and computational social science (2012) and her research is focused on the evolution and emergence of communication in complex living systems, to understand the future of communication, as well as universal communication patterns for life. She is currently an associate professor of Data and Computational Sciences at George Mason University, Virginia, USA as a research investigator for Blue Marble Space Institute of Science, and an affiliate with Frontier Development Lab and SETI Institute. She has won more than 10 awards and published 2 books and more than 20 articles and book chapters.

• Preface1 Historical Perspectives: How the Search for Technosignatures Grew Out of the Cold War 1Rebecca Charbonneau1.1 Introduction 11.2 The Extraterrestrial Life Debate Gets Technical 31.3 Finding the 21-cm Hydrogen Line 71.4 The Role of the Space Race in Early CETI 101.5 Same Planet, Different Civilizations 131.6 Making Intelligent Life in the Universe 191.7 Conclusion: Returning to l 23References 252 Reading the Cosmos: What Our Science Tells Us About the Science of Another World 33Carl L. DeVito2.1 Introduction 332.2 The Why and How of Interstellar Communication 342.3 An Early Language 362.4 A Language Based on Science 362.5 Our Senses, Our Perceptions and Our Science 382.5.1 Motion 382.5.2 Space “in the small” 392.5.3 Time 392.5.4 Space “in the large” 402.5.5 Mathematics 422.6 Conclusion 44References 453 The Impact of Discovering the First Technosignature 47Ross Davis, Kevin Schillo and Lucianne Walkowicz3.1 Introduction 483.2 Cultural Impact Based on Analogous Historical Events 483.3 Modeling the Impact Based on the Discovery’s Diffusion into Society 493.4 Multimodal Diffusion into Knowledge Systems of Complex Publics 52References 554 Searching for Extraterrestrial Intelligence by Locating Potential ET Communication Networks in Space 57Ross Davis4.1 Introduction 584.2 Concepts 604.3 Case Study 634.4 Conclusions 64Acknowledgements 65References 665 Habitable Mini-Earths with Black Hole Cores 69Branislav Vukotić and Richard Gordon5.1 Introduction 705.2 Surface Comfort 715.3 Concept and Design 725.4 Surface Conditions and Size 725.5 Black Hole Core 755.6 Mass Boosting and Terraformation 765.7 Technosignatures 765.8 Conclusion 77Acknowledgement 78References 786 Technosignatures in Time-Series Photometry 85Hector Socas-Navarro, Shauna Sallmen, Eric Korpela and Daniel Angerhausen6.1 Introduction 856.2 Types of Technosignatures 876.2.1 Dyson Spheres 876.2.2 Transit Beacons 886.2.3 Orbital Mirrors 886.2.4 Lagrange-Point Starshades 896.2.5 Geostationary Artifacts 906.2.6 Laser Broadcasting and Planetary Cloaking 936.2.7 Non-Keplerian Orbits 936.3 Axis of Merit Discussion for These Technosignatures 936.4 Methods 976.4.1 Detectability of Time-Series Technosignatures 98References 997 Post-Detection Message Analysis and Comprehension 103Brian S. McConnell7.1 Categorizing an ET Signal 1037.1.1 Megastructures 1037.1.2 Beamed Power and Propulsion Signals 1047.1.3 Intercepted Communication 1047.1.4 Intentional Communication 1047.2 The Interstellar Communication Relay 1067.3 The Processing Pipeline and Participants 1067.4 Demodulation 1077.4.1 Pulse Width Modulation 1077.4.2 Pulse Interval Modulation 1077.5 Combining Pulse Width and Pulse Interval Modulation 1087.5.1 Wavelength Multiplexing 1087.5.2 Information Carrying Capacity 1087.6 Data Extraction 1097.6.1 Transcription 1097.6.2 Structural Analysis 1107.6.3 Segmentation and Extraction 1107.6.4 Data Types 1107.6.5 Communicating Observables vs. Qualia 1117.6.6 Images 1117.6.7 Time Domain Signals 1127.6.8 Algorithms (Computer Programs) 1147.6.9 Solve For X Patterns 1147.6.10 Memory 1157.6.11 Modularity and Reuse 1157.6.12 Symbolic Communication Systems and Artificial Languages 1177.6.13 Genomic Information 1187.6.14 Other Data Types 1187.7 Classifying ETI Communication 1197.7.1 Static/One Way Communication 1197.7.2 Algorithmic Systems 1217.7.3 Statically Defined Programs 1217.7.4 Data-Driven Programs 1217.7.5 Machine Learning/Narrow AI 1227.7.6 Adaptive/Self-Learning Systems 1227.8 Risks of Contact 1237.8.1 Internal (Human Originated) Risks 1237.8.1.1 Interstate Competition and Interference 1237.8.2 Misinformation 1237.8.3 Societal Reaction 1237.8.4 External Risks 1247.8.5 Algorithms 1247.8.5.1 Malware 1247.8.6 Artificial Intelligence 1247.8.7 Genetic Information 1247.8.8 Unknown Unknowns 125References and Recommended Reading 1258 Statistical Issues in the Search for Technosignatures 127Amedeo Balbi and Claudio Grimaldi8.1 Introduction 1278.2 General Issues 1308.3 Emission Processes 1348.3.1 drake’s N d 1358.3.2 Average Number of Emission Processes at Earth 1368.4 Bayesian Inference from Non-Detection and Detection 139References 1439 Economics and Technosignatures: New Connections 149Anamaria Berea9.1 The Different Faces of Economics 1499.2 Economics in the Context of NASA Astrobiology Roadmap and the Drake Equation 1529.3 Economics in the Context of Biosignatures vs. Technosignatures Research 1539.4 Economic Methodology and Epistemology into Astrobiology 155References 156Index 161