Jackie Carter
Developing a future pipeline of applied social researchers through experiential learning: The case of a data fellows programme
University of Manchester
paper presents innovative model developing data statistical literacy undergraduate population experiential learning model developed uk national qstep quantitative step change programme 20132021 aimed create step change teaching undergraduate social science students quantitative research skills ii develop talent pipeline future careers applied social research focus model developed university manchester created paid work placement projects industry students practise data statistical skills workplace call students data fellows findings informed development undergraduate curriculum enabled reflection skills software teach data fellows graduating careers fields would previously difficult enter without stem science technology engineering mathematics degree 70 data fellows date female 25 disadvantaged backgrounds underrepresented groups hence programme also addresses equality diversity paper documents successes challenges programme shares insight nonstem pipelines social research careers require data statistical literacy major advantage approach development hybrid data analysts able bring social science subject expertise research well data statistical skills focusing value experiential learning develop quantitative research skills professional environments provoke discussion activity could sustained also scaled