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Project Ideas for Philosophy Students

Engage with timeless and contemporary philosophical questions through rigorous logic, analysis, and reflection.

🧠 Introduction

The University of Chicago’s M.A. in Philosophy program is rooted in analytic and continental traditions, encouraging critical inquiry into the nature of existence, knowledge, ethics, and logic. These project topics invite exploration of classical texts, contemporary debates, and philosophical frameworks across disciplines.

📚 Suggested Project Topics

Moral Realism vs. Anti-Realism: A Metaethical Investigation

Heidegger and the Question of Being: Existential Groundings

Free Will and Determinism in Compatibilist Theories

The Epistemology of Testimony in Democratic Discourse

Philosophical Foundations of Artificial Intelligence Ethics

Nietzsche’s Genealogy of Morals in Contemporary Moral Theory

Kantian Autonomy and the Limits of Practical Reason

Political Liberalism and the Problem of Reasonable Pluralism

Phenomenological Accounts of Embodiment and Disability

Rawls vs. Nozick: Justice and the Role of the State

Existential Freedom and Anxiety in Kierkegaard’s Works

Moral Luck and Responsibility: A Modern Dilemma

The Ontology of Numbers: Realism, Fictionalism, or Nominalism?

Language, Meaning, and Reference in Wittgenstein’s Later Philosophy

A Critique of Utilitarianism Through the Lens of Deontology

Time and Temporality in the Philosophy of Henri Bergson

The Role of Logic in Analytic Philosophy: From Frege to Quine

Ethics of Genetic Engineering: A Virtue Ethics Perspective

Confucian Conceptions of the Self and Western Individualism

The Problem of Induction Revisited in the Age of Machine Learning

Aesthetic Experience and the Sublime in Post-Kantian Thought

Power and Ideology in Foucault’s Archeology of Knowledge

The Concept of Alienation in Marxist Humanism

Epistemic Injustice and the Politics of Knowledge

Philosophical Investigations into the Nature of Consciousness

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Collexa supports philosophy students with argumentative structuring, source interpretation, logic refinement, and cross-textual analysis for deep and meaningful projects.

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