Reason for Selection: Economic systems are becoming increasingly automated, with AI playing a critical role in decentralized finance (DeFi), algorithmic trading, and smart contract execution. AI-driven economic models optimize financial transactions, resource allocation, and economic regulation in both digital and real-world economies. Investigating this topic expands my understanding of how machine learning can create self-sustaining…
Reason for Selection: Autonomous construction systems use AI and robotics to build infrastructure with minimal human intervention, particularly valuable in extreme environments such as space, disaster zones, and remote areas. AI manages design adaptation, resource optimization, and real-time adjustments. Exploring this topic expands my understanding of AI’s role in future-proof infrastructure and resilience engineering, aligning…
Reason for Selection: Atmospheric modeling is essential for understanding weather patterns, climate change, and natural disaster risks. AI enhances atmospheric science by improving the speed, accuracy, and resolution of forecasts. Exploring this topic deepens my understanding of AI’s role in environmental monitoring and resilience, aligning with prior research on AI in bioremediation, synthetic ecosystems, and…
Reason for Selection: The vastness of the universe presents complex challenges in data analysis, pattern recognition, and theoretical modeling. AI is transforming astrophysics by accelerating discoveries in cosmic structure, exoplanet detection, and deep-space phenomena. Exploring this topic enhances my understanding of how machine learning contributes to scientific progress beyond Earth. This research also aligns with…
Reason for Selection: Ambient Intelligence (AmI) integrates AI seamlessly into everyday environments, enabling systems to sense, adapt, and respond to human needs without direct interaction. AI-driven AmI creates smart spaces that enhance quality of life, safety, and efficiency. Investigating this topic expands my understanding of AI’s role in context-aware environments, aligning with previous research on…
Reason for Selection: Affective computing focuses on enabling AI systems to detect, interpret, and respond to human emotions. Emotional recognition enhances AI-human interaction in fields such as healthcare, education, and customer service. Exploring this topic advances my understanding of human-centered AI design, aligning with prior research on AI in adaptive learning, personalized medicine, and AI…
I should think the why would be fairly obvious, but to state the matter explicitly. I’m an economist. You don’t have to BE an economist to see that the rules of the current game are rigged. He who has the gold, makes the rules. And the rules they make ensure that they get more of…
So if you’ve read the executive summary, you’ve got at least some idea of the shape of the thing I’m building. It’s now time to confront some of the inevitable, predictable reactions head on. No, PtP isn’t communism. It isn’t socialism, fascism and it’s not capitalism, either. Or any other “ism,” for that matter. (though…
From its inception, PtP has always been envisioned as being a bit subversive, but current events being what they are, that’s more true now than ever. Even in this sleepy little place, I personally know a number of folk who are under threat for a variety of reasons, and they’ve been sent quiet invitations that…
Overview Purpose: Play the Planet leverages gamification to tackle real-world problems. The game, resembling an MMORPG, operates both online and in real life, where players undertake quests that engage them in building and improving their communities. By completing quests, players earn XP to level up and gain real-world influence, such as summoning a flash mob to…