Washington Area Meeting of Economic Scientists (WAMES)
Friday, April 23 & Saturday, April 24, 2027
FUSE Building, Rooms 1311 & 1312
GMU Arlington Campus
3401 Fairfax Dr, Arlington, VA 22201
The Interdisciplinary Center for Economic Science (ICES) at George Mason University (GMU) is pleased to host the second annual Washington Area Meeting of Economic Scientists (WAMES). The meeting will be held on the Arlington campus of George Mason University. Talks will be held on Friday, April 23rd and Saturday, April 24th, 2027.
More Details: TBA
Program - TBA
Abstracts - TBA
Poster Session Abstracts - TBA
Keynote Addresses - TBA
Invited Speakers - TBA
Panels - TBA
Venue
FUSE Building
3401 Fairfax Dr, Arlington, VA 22201
Campus parking is available in Van Metre Garage via Founders Way from N Kirkwood Road. 1st floors of Van Metre and FUSE are connected.
Conference will be held in Room 1311/1312 on the 1st floor. Check in to receive name badge and conference packet.
About ICES
The Interdisciplinary Center for Economic Science (ICES) brings together researchers and students interested in using the methods of behavioral and experimental economics to address research questions from a variety of fields. Using both laboratory and field experiments, research at ICES has been conducted in areas including development, finance and political economy. The Center was founded in 2001 by Nobel Laureate Vernon Smith, and has been directed by Daniel Houser since 2009.
About GMU
George Mason University was founded in 1957. It started in a single building with an enrollment of 17 students. Today, Mason is the largest public research university in the Commonwealth of Virginia, including four Virginia campuses and one campus in Songdo, Korea. Mason has grown to more than 40,000 students from 130+ countries and all 50 states, and we are one of the most research-intensive universities in the country (categorized as R1 by the Carnegie Classification of Institutions of Higher Education.)
About Economic Science Society (ESS)
The Economic Science Society (ESS) is dedicated to advancing the frontier of causal inference to ensure economic insights are grounded in scientific rigor. We promote methodological diversity, spanning the development of novel estimators for observational data, innovative experimental design and analysis, and the integration of AI into causal research. By prioritizing rigorous identification, ESS empowers evidence-based policy for the global good.
