NBER Call for Papers - Economics of IT and Digitization

February 5, 2020
News

Economics of Information Technology and Digitization
July 16 and 17, 2020
Royal Sonesta Hotel
Cambridge, Massachusetts

Paper submission deadline: March 18, 2020

    Appropriate topics include:

    - Effects of artificial intelligence and machine learning on the economy

    - IT, productivity and business performance

    - Effects of IT on inequality, labor demand and employment

    - Digital platforms for products, services and matching

    - Digitization and organizational change

    - IT, market structure and business dynamics

    - Measurement of the digital economy and intangibles

    - Economics of copyrights

    - Economics of privacy and individual data

    - Using online or mobile data to understand social networks

    - A/B testing and field experiments in the digital economy and government

    - Mobile payments and digital currency

    - Regulation of new digital business models

    - Novel applications of machine learning in the economics of digitization

Papers with some empirical application are especially suitable for this workshop. This year, we particularly welcome papers that are looking at the effects of artificial intelligence and machine learning and papers that use novel data sets.  

If you have a paper that you believe would be appropriate for this workshop, please upload a copy here  http://papers.nber.org/confsubmit/backend/cfp?id=SI20PRIT by noon (EDT) on March 18, 2020.  If the paper is incomplete you may submit an extended abstract or rough draft, with the finished paper due by June 22.  You may submit to up to two workshops. When submitting to two workshops, please use the text box to indicate which presentation venue is your first choice, and also provide a brief (less than 500 character) explanation of why the paper is well suited to multiple workshops.   

Please share this information with colleagues who may have a paper suitable for the program. Papers by researchers with and without NBER affiliations, by early career scholars, and by researchers from under-represented groups, are welcome.   

Questions can be directed to Rob Shannon at rshannon@nber.org

News Type: 
Category: