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data science

2,518 papers

#computer vision Open access Aug 2026

How Should We Understand Truth in Fluctuational Epistemology?

This paper develops a novel account of truth grounded in fluctuational epistemology, a framework that situates knowledge within the ontological instability of reality. Traditional theories—correspondence, coherence, pragmatic, and deflationary—assume varying degrees of stability in the relation between propositions and...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

How Should We Understand Truth in Fluctuational Epistemology?

This paper develops a novel account of truth grounded in fluctuational epistemology, a framework that situates knowledge within the ontological instability of reality. Traditional theories—correspondence, coherence, pragmatic, and deflationary—assume varying degrees of stability in the relation between propositions and...

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

Does Scientific Explanation Depend on Narrative Coherence?

This paper critically examines the long-standing question of whether scientific explanation depends on narrative coherence. While traditional philosophy of science has largely marginalized the role of narrative, this paper argues that narrative coherence is not merely a rhetorical or pedagogical tool, but a fundamental...

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

Does Scientific Explanation Depend on Narrative Coherence?

This paper critically examines the long-standing question of whether scientific explanation depends on narrative coherence. While traditional philosophy of science has largely marginalized the role of narrative, this paper argues that narrative coherence is not merely a rhetorical or pedagogical tool, but a fundamental...

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

Is Science Losing Its Objectivity in a Post-COVID World?

The COVID-19 pandemic served as a profound stress test for the global scientific enterprise, conducted under unprecedented public scrutiny and political pressure. This paper argues that the pandemic did not simply erode scientific objectivity but rather accelerated a necessary reckoning with its complex nature. Moving...

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

Is Science Losing Its Objectivity in a Post-COVID World?

The COVID-19 pandemic served as a profound stress test for the global scientific enterprise, conducted under unprecedented public scrutiny and political pressure. This paper argues that the pandemic did not simply erode scientific objectivity but rather accelerated a necessary reckoning with its complex nature. Moving...

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

The Ethics of Anonymity in Protest and Resistance: A Critical Analysis

This paper provides a critical analysis of the ethics of anonymity in protest and resistance movements, offering novel perspectives that transcend traditional debates. We argue that the digital surveillance age necessitates a fundamental re-evaluation of anonymity, moving beyond a simplistic dichotomy of transparency v...

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

The Ethics of Anonymity in Protest and Resistance: A Critical Analysis

This paper provides a critical analysis of the ethics of anonymity in protest and resistance movements, offering novel perspectives that transcend traditional debates. We argue that the digital surveillance age necessitates a fundamental re-evaluation of anonymity, moving beyond a simplistic dichotomy of transparency v...

Kwan Hong TAN · 0 citations
#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

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

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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.

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