Jessica Ribeiro
check Not recruiting a graduate student for Fall of 2024
Education
Florida State University, 2014
Research Interests
The mission of my research program is to accurately detect risk, especially for suicidal behavior, for all people at all points in time. To this end, there are four major elements of my research: (1) discovery and assessment of novel constructs; (2) prediction in the short-term; (3) prediction on a large scale; and (4) the conceptualization of suicide as a complex classification problem. My approach represents a radical shift from the status quo, with the aim of substantially advancing risk identification, especially for suicidal behavior. My goal is to make major progress on this front over the next 10 years.
Lab Description
The mission of my research program is to accurately detect risk, especially for suicidal behavior, for all people at all points in time. To this end, there are four major elements of my research: (1) discovery and assessment of novel constructs; (2) prediction in the short-term; (3) prediction on a large scale; and (4) the conceptualization of suicide as a complex classification problem. My approach represents a radical shift from the status quo, with the aim of substantially advancing risk identification, especially for suicidal behavior. My goal is to make major progress on this front over the next 10 years.
Franklin, J.C., Ribeiro, J.D., Fox, K.R., Bentley, K.H., Kleiman, E.M., Huang, X., Musacchio, K., Jaroszewski, A.C., Chang, B.P., & Nock, M.K. (in press). Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. Psychological Bulletin.
Ribeiro, J., Franklin, J., Fox, K., Kleiman, E., Bentley, K., Chang, B., & Nock, M. (in press). Suicide as a complex classification problem: Machine learning and related techniques can advance suicide prediction. Psychological Medicine.
Chang, B., Franklin, J., Ribeiro, J., Fox, K., Bentley, K., Kleiman, E., & Nock, M. (in press). Biological risk factors for suicidal behaviors: A meta-Analysis. Nature: Translational Psychiatry.
Ribeiro, J., Franklin, J., Fox, K., Kleiman, E., Bentley, K., Chang, B., & Nock, M. (2016). Prior self-injurious thoughts and behaviors as risk factors for future suicidal ideation, attempts, and death: A meta-analysis of prospective studies. Psychological Medicine, 46, 225-236.
Franklin, J.C., Fox, K.R., Franklin, C.R., Kleiman, E.M., Ribeiro, J.D., Jaroszewski, A.C., Hooley, J.M., & Nock, M.K. (2016). A brief mobile app reduces nonsuicidal and suicidal self-injury: Evidence from three randomized controlled trials. Journal of Consulting and Clinical Psychology, 84, 544-557.
Bentley, K. H., Franklin, J. C., Ribeiro, J. D., Kleiman, E. M., Fox, K. R., & Nock, M. K. (2016). Anxiety and its disorders as risk factors for suicidal thoughts and behaviors: A meta-analytic review. Clinical Psychology Review, 43, 30-46.
Ribeiro, J. D., Bender, T. W., Buchman, J. M., Nock, M. K., Rudd, M. D., Bryan, C. J., ... & Joiner, T. E. (2015). An investigation of the interactive effects of the capability for suicide and acute agitation on suicidality in a military sample. Depression and anxiety, 32(1), 25-31.
Ribeiro, J. D., Yen, S., Joiner, T., & Siegler, I. C. (2015). Capability for suicide interacts with states of heightened arousal to predict death by suicide beyond the effects of depression and hopelessness. Journal of Affective Disorders, 188, 53-59.
Ribeiro, J., Witte, T., Van Orden, K., Selby, E., Gordon, K., Bender, T., & Joiner, T. (2014). Fearlessness about death: The psychometric properties and construct validity of the revision to the Acquired Capability for Suicide Scale. Psychological Assessment, 26(1), 115-126.
Ribeiro, J., Pease, J., Gutierrez, P., Silva, C., Bernert, R., Rudd, M.D., & Joiner, T. (2012). Sleep problems outperform depression and hopelessness as cross-sectional and longitudinal predictors of suicidal ideation and behavior in young adults in the military. Journal of Affective Disorders, 136(3), 743-750.