Call for Papers: Complexity Economics & Innovation @North America Convening

Joint Call for Special Session between Complexity Economics and Economics of Innovation Working-Groups

Over the past decade, tech companies have increasingly hired economists to work on anything from in-house data science/analytics to peer-review academic-oriented research. Tech companies have developed their competitive postdoctoral positions, created research departments aligned with academic publishing, and market job opportunities through the American Economic Association (AEA) job market. The rise of the tech economist is a recent phenomenon for the profession.

In light of these developments, we would like to invite researchers to submit their abstracts to Special Session between Complexity Economics and Economics of Innovation Working Groups at the North America YSI Convening. Topics of interest for submission include, but are not limited to:

The “Tech Economist” as an Expert: history and perspectives

What is the contribution of economists to auction processes, and market design practices at the firm or industrial organization level?
Why, how, and when did economists become integrated into the private sector (from transportation to insurance)?
The origins, roles, and influence of the “Tech Economist” on contemporary Tech Companies
Labor and Organization

What is the impact of coordination mechanism designed by “tech economists” on management, industrial relations, and social protection? (i.e. flexible hours, self-employed, and reckless workforce)
New Market Design

Online market design, mechanisms and/or incentives (crowdsourcing, Amazon Mechanical Turk (MTurk), steam, Google Play, etc.)
Auction and pricing (Amazon, eBay)
Designing and impact of reputation systems (Amazon, Yelp, Etsy)
Machine Learning and Network Analysis in Applied Economics

New forms of data and its application (Facebook, Yelp, crowdsourced data, web scraped data)
Machine Learning in economics (NLP, Classifiers, Neural Net, etc.)
Network analysis applied to innovation and/or new forms of data (Uber, Facebook, etc.).
We encourage interdisciplinary work that comes from sociology, political science, history or economics. We favor empirical work from the whole spectrum of methods and tools ranging from ethnography, archival work, interviews to methods of machine learning and network analysis.


Apply here:
Deadline: 18 December 2018