Home

Menu

Loading wiki pages...

View
Wiki Version:
<p><img alt="enter image description here" src="http://psychosystems.org/wp-content/uploads/2016/01/summerschoolLogoJoost.png"></p> <h2>General information</h2> <ul> <li><a href="http://psychosystems.org/wp-content/uploads/2017/08/PNASSprograme.png" rel="nofollow">Program</a></li> <li><a href="http://psychosystems.org/files/summerschool2017/BookletA4OnlineVersionPdf.pdf" rel="nofollow">Booklet</a></li> <li><a href="https://drive.google.com/open?id=143Ulz7QwiQjR-SkD-gCqnEmlBCU&usp=sharing" rel="nofollow">Interactive map with workshop locations and neighborhood tips</a></li> <li>Organizers<ul> <li><a href="http://sachaepskamp.com/" rel="nofollow">Sacha Epskamp</a></li> <li><a href="http://www.adelaisvoranu.com/" rel="nofollow">Adela Isvoranu</a></li> </ul> </li> <li>Assistance / secretary<ul> <li><a href="http://www.uva.nl/en/profile/h/o/h.a.hoekstra/h.a.hoekstra.html" rel="nofollow">Ria Hoekstra</a></li> </ul> </li> </ul> <h4>Literature and references</h4> <p>These links are not mandatory to read but give a comprehensive overview of the materials covered throughout the week.</p> <ul> <li><a href="http://sachaepskamp.com/files/Cookbook.html" rel="nofollow">Network analysis cookbook</a></li> <li><a href="http://dare.uva.nl/search?identifier=a76273c6-6abc-4cc7-a2e9-3b5f1ae3c29e://sachaepskamp.com/files/Cookbook.html" rel="nofollow">Network Psychometrics Dissertation</a></li> <li><a href="https://docs.google.com/document/d/1-07ZFgd1l2RPRFuUhj6h8qa7wHtNHCY7YgttMTqvfgI/edit?usp=sharing" rel="nofollow">Not a network psychometrics handbook</a></li> </ul> <h2>Day 1: Monday, August 28</h2> <h4>Morning session: Introduction to R</h4> <ul> <li>Lecturer: <a href="https://jdalege.com/" rel="nofollow">Jonas Dalege</a></li> <li>Literature<ul> <li><a href="https://cran.r-project.org/doc/contrib/Torfs+Brauer-Short-R-Intro.pdf" rel="nofollow">A (very) short introduction to R</a></li> <li><a href="http://www.computerworld.com/article/2497143/business-intelligence/business-intelligence-beginner-s-guide-to-r-introduction.html" rel="nofollow">Beginners guide to R</a></li> </ul> </li> <li>Practice<ul> <li><a href="https://www.datacamp.com/" rel="nofollow">Datacamp</a></li> <li><a href="http://tryr.codeschool.com/" rel="nofollow">Try R</a></li> </ul> </li> </ul> <h4>Afternoon session: Introduction & Theoretical Foundation of Network Analysis + Plotting Networks</h4> <ul> <li>Lecturer: <a href="http://eiko-fried.com/" rel="nofollow">Eiko Fried</a></li> <li>Literature<ul> <li><a href="http://psychosystems.org/wp-content/uploads/2014/10/BorsboomNetworkTheory2017.pdf" rel="nofollow">Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16, 5–13.</a></li> <li><a href="http://eiko-fried.com/wp-content/uploads/Fried_et_al-2016-Social_Psychiatry_and_Psychiatric_Epidemiology.pdf" rel="nofollow">Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Lynn, B., Schoevers, R. A., Borsboom, D. (2016). Mental disorders as networks of problems: a review of recent insights. Social Psychiatry and Psychiatric Epidemiology.</a></li> </ul> </li> </ul> <h2>Day 2: Tuesday, August 29</h2> <h4>Morning session: Causality & Philosophy of Science</h4> <ul> <li>Lecturer: <a href="http://www.rietvanbork.nl/" rel="nofollow">Riet van Bork</a></li> <li>Literature<ul> <li><a href="http://bayes.cs.ucla.edu/BOOK-2K/" rel="nofollow">Judea Pearl – Causality</a> (introduction and epilogue)</li> <li><a href="http://psychosystems.org/files/summerschool2017/d-separation2013.pdf" rel="nofollow">D-separation</a></li> </ul> </li> </ul> <h4>Afternoon session: Markov Random Fields 1: Estimating Gaussian Graphical Models & Ising Models</h4> <ul> <li>Lecturer: <a href="http://sachaepskamp.com/" rel="nofollow">Sacha Epskamp</a></li> <li>Literature<ul> <li><a href="http://sachaepskamp.com/files/bootnet_Supplementary.pdf" rel="nofollow">Supplementary Materials of Epskamp, S., Borsboom, D. & Fried, E.I. Estimating Psychological Networks and their Accuracy: A Tutorial Paper. (2017). Behavior Research Methods.</a></li> <li><a href="https://arxiv.org/abs/1607.01367" rel="nofollow">Epskamp, S., & Fried, E. I. (2017). A Tutorial on Regularized Partial Correlation Networks.</a></li> <li><a href="https://www.nature.com/article-assets/npg/srep/2014/140801/srep05918/extref/srep05918-s1.pdf" rel="nofollow">Supplementary materials of van Borkulo, C. D., Borsboom, D., Epskamp, S., Blanken, T. F., Boschloo, L., Schoevers, R. A., & Waldorp, L. J. (2014). A new method for constructing networks from binary data. Scientific Reports, 4, 5918.</a></li> <li>v<a href="http://psychosystems.org/files/Literature/vanBorkulo_ising.pdf" rel="nofollow">an Borkulo, C. D., Borsboom, D., Epskamp, S., Blanken, T. F., Boschloo, L., Schoevers, R. A., & Waldorp, L. J. (2014). A new method for constructing networks from binary data. Scientific Reports, 4, 5918.</a></li> </ul> </li> </ul> <h2>Day 3: Wednesday, August 30</h2> <h4>Morning session: Markov Random Fields 2: Centrality, Replicability & Challenges</h4> <ul> <li>Lecturer: <a href="http://eiko-fried.com/" rel="nofollow">Eiko Fried</a></li> <li>Literature<ul> <li><a href="http://psychosystems.org/files/Literature/Bootnet.pdf" rel="nofollow">Epskamp, S., Borsboom, D. & Fried, E.I. (2017). Estimating psychological networks and their accuracy: a tutorial paper. Behavior Research Methods.doi:10.3758/s13428-017-0862-1</a></li> <li><a href="http://psychosystems.org/files/Literature/Bootnet.pdf" rel="nofollow">Fried, E. I. & Cramer, A. O. J. (2017). Moving forward: challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science.</a></li> <li><a href="https://www.researchgate.net/profile/John_Skvoretz/publication/248484602_Node_Centrality_in_Weighted_Networks_Generalizing_Degree_and_Shortest_Paths/links/562e124c08aef25a24435565.pdf" rel="nofollow">Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social networks, 32(3), 245-251.</a></li> </ul> </li> </ul> <h4>Afternoon session: Directed Acyclic Graphs (DAGs)</h4> <ul> <li>Lecturer: <a href="http://www.waldorp.nl/lourens/" rel="nofollow">Lourens Waldorp</a></li> <li>Literature<ul> <li><a href="http://www.stat.cmu.edu/~cshalizi/uADA/12/lectures/ch25.pdf" rel="nofollow">Cosma Shalizi: Discovering Causal Structure from Observations</a></li> <li><a href="http://www.jstatsoft.org/v47/i11" rel="nofollow">Causal Inference Using Graphical Models with the R Package pcalg</a></li> <li><a href="http://www.bnlearn.com/" rel="nofollow">bnlearn website</a></li> </ul> </li> </ul> <h2>Day 4: Thursday, August 31</h2> <h4>Morning session: Time Series Modeling 1</h4> <ul> <li>Lecturer: <a href="http://sachaepskamp.com/" rel="nofollow">Sacha Epskamp</a></li> <li>Literature<ul> <li><a href="https://arxiv.org/abs/1609.04156" rel="nofollow">Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2017). Discovering Psychological Dynamics: The Gaussian Graphical Model in Cross-sectional and Time-series Data.</a></li> <li><a href="http://psychosystems.org/files/Literature/Bringmann%20et%20al.%202013_PloSOne.pdf" rel="nofollow">Bringmann, L. F., Vissers, N., Wichers, M., Geschwind, N., Kuppens, P., Peeters, F., Borsboom, D., & Tuerlinckx, F. (2013). A network approach to psychopathology: New insights into clinical longitudinal data. PLoS ONE, 8, e60188.</a></li> </ul> </li> </ul> <h4>Afternoon session: Time Series Modeling 2</h4> <ul> <li>Lecturer: <a href="http://jmbh.github.io/" rel="nofollow">Jonas Haslbeck</a></li> <li>Literature<ul> <li><a href="https://arxiv.org/abs/1510.06871" rel="nofollow">Haslbeck J. M. B., Waldorp L. J. (2016). mgm: Structure estimation for time-varying mixed graphical models in high-dimensional data. The Journal of Statistical Software.</a></li> </ul> </li> </ul> <h2>Day 5: Friday, September 1</h2> <h3>Morning Session: Symposium: Social Network Analysis, Network Psychometrics & Predictability</h3> <p>Location: Room 2.01 - Lecturers: - <a href="http://sachaepskamp.com/" rel="nofollow">Sacha Epskamp</a> - <a href="http://jmbh.github.io/" rel="nofollow">Jonas Haslbeck</a> - <a href="http://dml.sites.uu.nl/" rel="nofollow">Oisin Ryan</a> - Literature - <a href="https://arxiv.org/abs/1605.09288" rel="nofollow">Epskamp, S., Rhemtulla, M.T., & Borsboom, D. Generalized Network Psychometrics: Combining Network and Latent Variable Models (2017). Psychometrika.</a> - <a href="https://arxiv.org/abs/1610.09108" rel="nofollow">Haslbeck J. M. B., Waldorp L. J. (2017). How well do network models predict future observations? On the importance of predictability in network models. Behavior Research Methods.</a> - <a href="https://osf.io/qvdny/" rel="nofollow">Haslbeck J. M. B., Fried E. I. (2017). How predictable are symptoms in psychopathological networks? A Reanalysis of 18 published datasets. Psychological Medicine.</a></p>
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.