Projects
Ranystyle
Ranystyle (pronounce R-anystyle) is an R package designed to automate the extraction, parsing, and cleaning of bibliographic references from PDF and text documents as well as vector of references stored in an R object. Utilizing the power of the ‘anystyle’ Ruby gem, it segments references and converts them into structured formats suitable for analysis and use.
Learning Bibliometrics
A github repository that gathers different scripts to extract (mannually or via APIs) and then clean bibliometric data.
The Scientific and the Political: Modelling and Forecasting the Economy in Policymaking Institutions
The objective of the project is to map the different channels through which economics influences the Bank and to understand how economic ideas impact (or do not impact) policy-making
ESHS Symposium proposal: “The Scientization of Central Banks”
In the last decades, central banks have become crucial institutions in the management of many countries’ economies. This evolution has been accompanied by a rising ‘scientization’ of central banks. Scientization can designate different dynamics:
Mapping Macroeconomics
Building an online interactive platform displaying bibliometric data on a large set of macroeconomic articles. Our goal is to settle the basis for a broad and long-run project on the history of macroeconomics, as well as to bring to historians tools to run quantitative inquiries to support their own research work.
biblionetwork
The biblionetwork package provides functions to create fastly bibliometric networks like bibliographic coupling network, co-citation network and co-authorship network.
Excavating the Academia/Policy Pipeline - Economic Analysis at the Bank of England Pre and Post-Crisis
The objective of the project is to map the different channels through which economics influences the Bank and to understand how economic ideas impact (or do not impact) policy-making
OEconomia special issue: Quantitative and Computational Approaches in the Social Studies of Economics
This call for papers aims at stimulating new scholarly contributions that use quantitative and computational methods in the social studies of economics. We intend to attract papers that apply these methods to offer insights and new stories about economics, its evolution, and its role in policymaking.