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CPA 2022 - Early Career Award Sneak Peak!
Manage episode 324696135 series 3264836
ARE YOU READY FOR CPA 2022?
The first in-person CPA conference since 2019 is happening this weekend, April 7-9, in Portland, OR. In addition to amazing networking opportunities, there will be incredible sessions and posters presented by experts ranging from early to late career, studying addiction and related topics. On this episode, we highlight the award-winning work of five early career scholars who will be presenting their research in Portland. Tune in for a sneak preview, and get hyped for CPA! Timestamps and presentation titles below.
1:34 - 10:44: Dr. Jevon Rice - Training in Substance Use Disorders Among Black Emerging Adults for Psychologists
10:44 - 19:27: Victoria Chentsova - Internalizing Symptoms, Rumination, and Problematic Social Networking Site Use: A Cross-national Examination
19:27 - 32:01: Peter Soyster - Personalized Machine Learning Models to Predict Future Alcohol Use
32:01 - 36:30: Madison Smith - Which Types of Substance-Related Legal Problems are Most Predictive of Arrest?
36:30 - 47:51: Melissa Schick - Gender Parity and Homophily in the Drug and Alcohol Dependence Editorial Process
55 episodes
Manage episode 324696135 series 3264836
ARE YOU READY FOR CPA 2022?
The first in-person CPA conference since 2019 is happening this weekend, April 7-9, in Portland, OR. In addition to amazing networking opportunities, there will be incredible sessions and posters presented by experts ranging from early to late career, studying addiction and related topics. On this episode, we highlight the award-winning work of five early career scholars who will be presenting their research in Portland. Tune in for a sneak preview, and get hyped for CPA! Timestamps and presentation titles below.
1:34 - 10:44: Dr. Jevon Rice - Training in Substance Use Disorders Among Black Emerging Adults for Psychologists
10:44 - 19:27: Victoria Chentsova - Internalizing Symptoms, Rumination, and Problematic Social Networking Site Use: A Cross-national Examination
19:27 - 32:01: Peter Soyster - Personalized Machine Learning Models to Predict Future Alcohol Use
32:01 - 36:30: Madison Smith - Which Types of Substance-Related Legal Problems are Most Predictive of Arrest?
36:30 - 47:51: Melissa Schick - Gender Parity and Homophily in the Drug and Alcohol Dependence Editorial Process
55 episodes
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