The Knowledge Lab at the University of Chicago seeks to hire an outstanding Ph.D. or Masters student candidate for a research project with support from the Institute for Research on Innovation and Science that uses large-scale data analysis to explore how research funding shapes scientific ideas and directions. The project is motivated by recent research by ourselves and others on the science of science built on the assumption that deeper understanding of how science works could help scientists, policy makers and governments better support for public benefit and scientific advance. This project will involve a two-stage research program to identify different sources of research funding from university and census records, then link them to funding initiatives and research programs to discover relationships between the inputs, complex organization and outputs of science.
Candidates will design and conduct independent research, in collaboration with UChicago Professor and Knowledge Lab Director James Evans, and Donghyun Kang, a Ph.D. student at UChicago Sociology. Specifically, the successful candidate will be responsible for retrieving and manipulating data from the IRIS Virtual Data Enclave, and constructing features and evaluating success and failure outcomes for researchers affiliated with 33 major research universities or university systems. They will also likely link these data with information about scientific publications, technology patents, clinical guidelines, and other traces of scientific influence and societal impact. The list of publications using the IRIS data can be found here.
Ideal candidates will have a strong record of performance in computational, data science and/or statistical coursework, have a record of data analysis experience, and be graduate (or possibly very advanced undergraduate) students at the University of Chicago. Specifically, candidates should have experience (1 or more active years) with scientific computing in Python, SQL, and relational databases. Longer-term research interests in science or innovation a plus. The position could begin anytime within the coming year, as early as September 2020, with a competitive hourly rate.
To apply, please send CV and names for two references to Candice Lewis, email@example.com. (We will not ask for formal letters, but informal email responses/recommendations).