This conference brings together a group of leading scholars developing the next generation of measurements of cognition, personality, and behavior. This body of scholarship has multiple goals, all of which will be addressed.

Any effective system of personalized education will need to inventory the broad array of skills that have been found to be predictive of achievement in school and in life. Traditional paper and pencil tests are quite cumbersome and not tailored to capturing specific skills. Self-reports of personality and behavior are unreliable. Teacher evaluations are subjective (although predictively more reliable), time-consuming, and often incomparable across teacher reports. Administrative data have predictive power (see e.g. Jackson, 2018 and Kautz et al., 2016) but remain to be aligned with traditional measurements.