LIFE Fall Academy 2024

Readings

Lectures (in the order of their appearance in the program)

Patricia Reuter-Lorenz, UM
Aging as a Life’s Work:  Cognitive Neuroscience of Later Adulthood and a Baltes Legacy

• Reuter-Lorenz, P. A. & Park, D. C. (2024). Cognitive aging and the life course: A new look at the Scaffolding Theory. Current Opinion in Psychology, 56:101781
• Iordan, A. D., Cooke, K. A., Moored, K. D., Katz, B., Buschkuehl, M., Jaeggi, S. M., Polk, T. A., Peltier, S. J., Jonides, J., & Reuter-Lorenz, P. A. (2020). Neural correlates of working memory training: Evidence for plasticity in older adults. NeuroImage, 217, 116887.
• Reuter-Lorenz, P. A., & Park, D. C. (2010). Human neuroscience and the aging mind: a new look at old problems. The journals of gerontology. Series B, Psychological sciences and social sciences, 65(4), 405–415.

 

Manuel Völkle, HU
The legacy (and curse?) of the data cube – A tribute to John R. Nesselroade

• Voelkle, M. C., Gische, C., Driver, C. C., & Lindenberger, U. (2018). The Role of Time in the Quest for Understanding Psychological Mechanisms. Multivariate Behavioral Research, 53(6), 782–805.

 

Alexandra M. Freund, UZH
Bringing culture into the study of motivational development across adulthood

• Kitayama, S., & Salvador, C. E. (2024). Cultural Psychology: Beyond East and West. Annual review of psychology, 75, 495–526.
• Markus, H. R. (2016). What moves people to action? Culture and motivation. Current Opinion in Psychology, 8, 161–166. 
• Varnum, M. E. W., & Grossmann, I. (2021). The psychology of cultural change: Introduction to the special issue. The American psychologist, 76(6), 833–837.

 

Stefanie Sequeira, UVA
Multimethod approaches to studying contemporary social threat and reward processes in adolescents 

• Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018). Transformation of adolescent peer relations in the social media context: Part 1—A theoretical framework and application to dyadic peer relationships. Clinical Child and Family Psychology Review, 21, 267-294.
• Capella, J., & Telzer, E. H. (2024). A Framework for Integrating Neural Development and Social Networks in Adolescence. Developmental Cognitive Neuroscience, 101442.
• Sequeira, S. L., Silk, J. S., Edershile, E. A., Jones, N. P., Hanson, J. L., Forbes, E. E., & Ladouceur, C. D. (2021). From scanners to cell phones: neural and real-world responses to social evaluation in adolescent girls. Social Cognitive and Acective Neuroscience, 16(7), 657-669.

 

Florian Schmiedek, DIPF
Lifespain development: The role of intraindividual variability in cognition, affect and personality (Part I)

Annette Brose, FU
Lifespain development: The role of intraindividual variability in cognition, affect and personality (Part II)

• Nesselroade, J. R. (1991). The warp and the woof of the developmental fabric. In R. M. Downs, L. S. Liben, & D. S. Palermo (Eds.), Visions of aesthetics, the environment & development: The legacy of Joachim F. Wohlwill (pp. 213–240). Lawrence Erlbaum Associates, Inc.

 

Iyad Rahwan, MPIB
Machine culture

• Brinkmann, L., Baumann, F., Bonnefon, JF. et al. (2023). Machine culture. Nature Human Behaviour 7, 1855–1868
• Rahwan, I., Cebrian, M., Obradovich, N. et al. (2019). Machine behaviour. Nature 568, 477–486
  
  

Cynthia Tong, UVA
Value of small: Investigating small subpopulations using a robust growth mixture modeling approach

• Kim, S., Tong, X., Zhou, J., & Boichuk, J. P. (2022). Conditional median-based Bayesian growth mixture modeling for nonnormal data. Behavior research methods, 54(3), 1291–1305.
• Kim, S., Tong, X., Ke, Z. (2021). Exploring Class Enumeration in Bayesian Growth Mixture Modeling Based on Conditional Medians. Frontiers in Education. 6. 624149. 10.3389/feduc.2021.624149. 

 

Round Tables

Ulman Lindenberger, MPIB
The relationship between animal models and research with humans

• Hille, M., Kühn, S., Kempermann, G., Bonhoeffer, T., & Lindenberger, U. (2024). From Animal Models to Human Individuality: Integrative Approaches to the Study of Brain Plasticity, in press

 

Noelle Hurd, UVA
Skin-deep resilience

• Chen, E., Brody, G. H., & Miller, G. E. (2022). What Are the Health Consequences of Upward Mobility?. Annual review of psychology, 73, 599–628.

 

Dirk Wulff, MPIB
AI as factors and tools in  research on lifespan psychology

• Hussain, Z., Binz, M., Mata, R., & Wulff, D. U. (2024). A tutorial on open-source large language models for behavioral science. Behavior research methods, 10.3758/s13428-024-02455-8. Advance online publication.
• Brinkmann, L., Baumann, F., Bonnefon, JF. et al. (2023). Machine culture. Nature Human Behaviour 7, 1855–1868