Workshop on Optimal Experimentation in Economics at University of Siena 3-4 May 2018, Italy

Publish Date: Feb 13, 2018

Deadline: Mar 01, 2018

Event Dates: from May 03, 2018 12:00 to May 04, 2018 12:00

Workshop on Optimal Experimentation in Economics at University of Siena

Theme of the workshop

In the last decade, the various types of learning has drawn much attention in the economics literature and comes in many flavors. Agent-based learning, genetic based learning, Bayesian learning etc. An intriguing, yet complicating approach, is the type of learning that comes under the header of optimal experimentation. Following, the seminal work in the '70s of the past century,  there is a renewed interest in optimal experimentation (also called active learning). Some are based on the value function and others on an approximation method. In principle the value function approach is the preferred method. However, it suffers from the curse of dimensionality and is only applicable to small problems with a limited number of policy variables. The approximation method allows for a computationally larger class of models, but may produce results that deviate from the optimal solution. The verdict is still out there, what should be the preferred approach. This workshop intends to bring together new research in this domain.

JEL Classification:

  • C11(Bayesian Analysis), C61(Optimization Techniques
  • Programming Models
  • Dynamic Analysis), C63(Computational Techniques
  • Simulation Modeling), D83(Search
  • Learning
  • Information and Knowledge
  • Communication
  • Belief
  • Unawareness

Format of the workshop

This workshop will be a small sized meeting focussed on the above theme. It aims at 6-8 sessions over two days depending on the number of qualified submissions.

Topics of Interest

A non-limitive list of subjects that are covered by the workshop:

  • Optimal experimentation
  • Numerical procedures for solving the value function
  • Active, adaptive, dual learning
  • Numerical approaches for solving the value function
  • Approximation methods and learning
  • Learning and expectation formation
  • Bayesian learning, learning by doing 
  • Experimentation in Agent-Based Models

Guide for Authors

The deadline to submit an extended abstracts or paper is March 1st, 2018.


The papers presented at the workshop may be submitted to a special issue of ISI cited Springer journal Computational Economics after the workshop. 

Important dates  

  • March 1st,   2018: Deadline Submission extended abstract. 
  • March 16th, 2018: Notification of Acceptance
  • April 1st, 2018, Program made available through the website
  • August 1st, 2018: Deadline submission special issue Computational Economics. Submission will be required through the website of the journal. 


The Workshop will be held at the Department of Economics and Statistics, University of Siena, Piazza San Francesco, 53100 Siena, Italy. The authors of the first 10 accepted papers will be offered accommodation, free of charge, in a Faculty University facility. 

Workshop Fee

The fee for the workshop is Euro 100, covering Coffee breaks, lunches, workshop, material and Thursday night dinner in a typical restaurant. The fee will be waived for the first 10 accepted papers. 

For more information click "LINK TO ORIGINAl" below

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