16 research outputs found
Reliability of a common solution-based taste perception test: Implications for validity and a briefer test
An application of scanning electron microscopy of quartz sand surface textures to the environmental diagnosis of Neogene carbonate sediments, Finestrat Basin, south-east Spain
The role of metal cation in electron-induced dissociation of tryptophan
10.1140/epjd/e2010-00019-6European Physical Journal D60111-2
Formation of Peptide Radical Ions through Dissociative Electron Transfer in Ternary Metal—Ligand—Peptide Complexes
Surface-Induced Dissociation: A Unique Tool for Studying Energetics and Kinetics of the Gas-Phase Fragmentation of Large Ions
Insights into accuracy of social scientists' forecasts of societal change
How well can social scientists predict societal change, and what processes underlie their predictions? To answer these questions, we ran two forecasting tournaments testing accuracy of predictions of societal change in domains commonly studied in the social sciences: ideological preferences, political polarization, life satisfaction, sentiment on social media, and gender-career and racial bias. Following provision of historical trend data on the domain, social scientists submitted pre-registered monthly forecasts for a year (Tournament 1; N=86 teams/359 forecasts), with an opportunity to update forecasts based on new data six months later (Tournament 2; N=120 teams/546 forecasts). Benchmarking forecasting accuracy revealed that social scientists’ forecasts were on average no more accurate than simple statistical models (historical means, random walk, or linear regressions) or the aggregate forecasts of a sample from the general public (N=802). However, scientists were more accurate if they had scientific expertise in a prediction domain, were interdisciplinary, used simpler models, and based predictions on prior data