Network science and the papal conclave
Network science visualizes alliances and influence in the 2025 papal conclave.

Can Network Science Predict the New Pope? Insights from the 2025 Conclave

How can network science help us understand and even anticipate the outcome of the papal conclave? Drawing on Bocconi University’s research and the latest election, this article explores how cardinal alliances, status, and information flow shaped the 2025 conclave—and what it means for the future of the Church.

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US tariffs and global trade
US tariffs send shockwaves through global and African trade.

U.S. Tariffs: Global Shockwaves and African Trade Implications

Following a historic surge in U.S. tariffs, global financial markets have reacted with sharp corrections and widespread uncertainty. This blog post explores the roots of the policy shift, market consequences, and the potential ripple effects on Africa’s economies and trade strategies.

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Granger causality in time series analysis
Illustration of Granger causality in economic time series.

Granger Causality in Time Series Analysis

In time series econometrics, establishing causal relationships is challenging. Clive Granger formalized a specific, testable notion of predictive causality known as Granger Causality.

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Monetary policy debates and models
Debating monetary policy: NKPC, DIS curve, and inflation dynamics.

Monetary Policy Debates: Gordon, the NKPC, and DIS Curve Insights

Modern monetary policy analysis often utilizes the New Keynesian framework, typically featuring a New Keynesian Phillips Curve (NKPC) and a Dynamic IS (DIS) relationship. Robert J. Gordon's extensive work on inflation dynamics provides important context and highlights challenges for policymakers relying solely on this framework.

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Auction mechanisms illustration
Visualizing first- and second-price sealed-bid auctions.

Understanding Auction Mechanisms: First-Price vs. Second-Price Sealed Bids

Auctions are common mechanisms for allocating goods. In sealed-bid auctions, participants submit bids simultaneously. Let's analyze bidder strategy in two key types, assuming independent private values where each bidder $i$ knows their own value $v_i$ but only the distribution of others' values.

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