activity
20212026
most citedPost-COVID Inflation & the Monetary Policy Dilemma: An Agent-Based Scenario Analysis

13 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

econ.GN2026

Do Venture Capitalists Beat Random Allocation?

Max Sina Knicker, Jean-Philippe Bouchaud, Michael Benzaquen

Venture capital outcomes are dominated by a small number of extreme successes, making it difficult to distinguish investor skill from favorable realizations in a highly skewed retu…

econ.GN2024

The Structure of Occupational Mobility in France

Max Sina Knicker, Karl Naumann-Woleske, Michael Benzaquen

In an era of rapid technological advancements and macroeconomic shifts, worker reallocation is necessary, yet responses to labor market shocks remain sluggish, making it crucial to…

cs.AI2023★ 12 cited

Supermind Ideator: Exploring generative AI to support creative problem-solving

Steven R. Rick, Gianni Giacomelli, Haoran Wen +9

Previous efforts to support creative problem-solving have included (a) techniques (such as brainstorming and design thinking) to stimulate creative ideas, and (b) software tools to…

econ.GN2023★ 13 cited

Post-COVID Inflation & the Monetary Policy Dilemma: An Agent-Based Scenario Analysis

Max Sina Knicker, Karl Naumann-Woleske, Jean-Philippe Bouchaud +1

The economic shocks that followed the COVID-19 pandemic have brought to light the difficulty, both for academics and policy makers, of describing and predicting the dynamics of inf…

econ.GN2021

Exploration of the Parameter Space in Macroeconomic Agent-Based Models

Karl Naumann-Woleske, Max Sina Knicker, Michael Benzaquen +1

Agent-Based Models (ABM) are computational scenario-generators, which can be used to predict the possible future outcomes of the complex system they represent. To better understand…