Skip to content

Category

data science

2,570 papers

#data science Open access Aug 2026

Are Digital Commons the Future of Political Organization? A Critical Analysis of Post-Capitalist Governance

This paper critically examines the proposition that digital commons represent the future of political organization. Moving beyond utopian proclamations, it offers a rigorous analysis grounded in political theory, empirical evidence, and novel theoretical perspectives. The paper begins by synthesizing foundational frame...

Kwan Hong TAN · 0 citations
#data science Open access Aug 2026

Gold Price Projections Under Macro-Financial Regime Uncertainty: A Structural Scenario Model for 2026-2030

Gold entered the second half of 2026 in an unusually unstable regime. The metal reached an LBMA benchmark high above US 5,500/oz in January, fell below US 4,000/oz in June, and rebounded to US 4,336.02/oz on 7 August after a weak U.S. employment report altered the expected interest-rate path. This paper develops an ori...

Kwan Hong TAN · 0 citations
#data science Open access Aug 2026

Gold Price Projections Under Macro-Financial Regime Uncertainty: A Structural Scenario Model for 2026-2030

Gold entered the second half of 2026 in an unusually unstable regime. The metal reached an LBMA benchmark high above US 5,500/oz in January, fell below US 4,000/oz in June, and rebounded to US 4,336.02/oz on 7 August after a weak U.S. employment report altered the expected interest-rate path. This paper develops an ori...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Can Democracy Survive in a Hyperconnected World?

This paper explores the complex and often contradictory relationship between hyperconnectivity and democracy. Drawing on novel theoretical frameworks inspired by quantum mechanics, network science, and temporal dynamics, we argue that the hyperconnected world is not simply an extension of the classical political landsc...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Can Democracy Survive in a Hyperconnected World?

This paper explores the complex and often contradictory relationship between hyperconnectivity and democracy. Drawing on novel theoretical frameworks inspired by quantum mechanics, network science, and temporal dynamics, we argue that the hyperconnected world is not simply an extension of the classical political landsc...

Kwan Hong TAN · 0 citations
#quantum computing Open access Aug 2026

Is Post-Truth a New Epistemic Condition or a Rhetorical Myth? A Multi-Perspective Analysis

The term “post-truth” has become a ubiquitous yet contentious descriptor of our contemporary socio-political landscape. This paper delves into the heart of the debate, examining whether post-truth represents a novel epistemic condition—a fundamental shift in how we know and what we believe—or if it is merely a rhetoric...

Kwan Hong TAN · 0 citations
#quantum computing Open access Aug 2026

Is Post-Truth a New Epistemic Condition or a Rhetorical Myth? A Multi-Perspective Analysis

The term “post-truth” has become a ubiquitous yet contentious descriptor of our contemporary socio-political landscape. This paper delves into the heart of the debate, examining whether post-truth represents a novel epistemic condition—a fundamental shift in how we know and what we believe—or if it is merely a rhetoric...

Kwan Hong TAN · 0 citations
#human-computer interacti... Open access Aug 2026

Are We Living in an Algorithmically Determined World?

This paper critically examines the pervasive yet often unsubstantiated notion that we are living in an algorithmically determined world. While popular discourse and some academic literature suggest a monolithic takeover by algorithmic systems, this research argues for a more nuanced and empirically grounded understandi...

Kwan Hong TAN · 0 citations
#human-computer interacti... Open access Aug 2026

Are We Living in an Algorithmically Determined World?

This paper critically examines the pervasive yet often unsubstantiated notion that we are living in an algorithmically determined world. While popular discourse and some academic literature suggest a monolithic takeover by algorithmic systems, this research argues for a more nuanced and empirically grounded understandi...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Can AI Make Art? And If So, Who Owns It? Novel Theoretical Frameworks for Understanding Artificial Intelligence, Creativity, and Ownership in the Digital Age

The emergence of artificial intelligence as a creative force has fundamentally challenged traditional conceptions of authorship, creativity, and intellectual property ownership. This analysis presents six novel theoretical frameworks that transcend current academic discourse on AI art ownership, drawing from extensive...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Can AI Make Art? And If So, Who Owns It? Novel Theoretical Frameworks for Understanding Artificial Intelligence, Creativity, and Ownership in the Digital Age

The emergence of artificial intelligence as a creative force has fundamentally challenged traditional conceptions of authorship, creativity, and intellectual property ownership. This analysis presents six novel theoretical frameworks that transcend current academic discourse on AI art ownership, drawing from extensive...

Kwan Hong TAN · 0 citations
#natural language process... Open access Aug 2026

Are Moral Facts Real or Constructed? Novel Theoretical Frameworks for Understanding Moral Ontology

The question of whether moral facts are real or constructed has dominated metaethical discourse for centuries, with traditional positions including moral realism, anti-realism, and constructivism offering competing accounts of moral ontology. This paper introduces four novel theoretical frameworks that transcend tradit...

Kwan Hong TAN · 0 citations

From tech blogs

See all →
Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.