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Invite Mellenbergh Lecture about Genomic Network Analysis July 1st
by sobedsc-fmg 25 Jun '26

25 Jun '26

Dear All, You are invited to join the upcoming Mellenbergh lecture on Wednesday, July 1st! Professor Eske Derks and Dr. Jackson Thorp will talk about the use of Genomic Network Analysis for better understanding psychiatric disorders. Speaker: Professor Eske Derks (QIMR Berghofer) and Dr. Jackson Thorp (QIRM Berghofer) Title: Mapping the Genetic Landscape of Psychiatric Disorders: From GWAS to Genomic Networks Abstract: After completing her master in Psychological methods at the UvA (2001), Professor Eske Derks focused her research on modelling the influence of genetic variation on human behavior. In this talk, Eske will discuss how genetics research has advanced from twin studies, through Genome Wide Association studies (i.e., comparing DNA profiles in millions of patients and healthy controls), to the use of genetic data to improve our understanding of the nature of psychiatric disorders. She will discuss how genetic data can be used to model genetic overlap across comorbid disorders, and to model phenotypic/symptom heterogeneity within disorders. Eske is head of the Translational Neurogenomics Laboratory at QIMR Berghofer, Brisbane, Australia and works in private practice as a psychologist. This will be a joint presentation with Dr. Jackson Thorp, who recently developed Genomic Network Analysis (GNA), an analytic framework that applies the principles of network analysis to estimates of genetic overlap derived from GWAS summary statistics. GNA estimates the genetic association between traits conditional on all other traits in the network, taking an otherwise dense structure of genetic correlations and deconvolving it to a sparse genomic network that retains the most crucial associations. Once a network is estimated, properties of the network (e.g. topological features, sparsity, node centrality), can provide important insight into the structure and genetic architecture of the system of traits. GNA is available as an open-source R package (https://github.com/GenomicNetworkAnalysis/GNA) Time and Place: July 1st, 15:00 - 16:00, Room A2.01

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Invite for Mellenbergh Lecture on Genomic Network Analysis
by Anika Korobkov 25 Jun '26

25 Jun '26

Dear All, You are invited to join the upcoming Mellenbergh lecture on Wednesday, July 1st! Professor Eske Derks and Dr. Jackson Thorp will talk about the use of Genomic Network Analysis for better understanding psychiatric disorders. Speaker: Professor Eske Derks (QIMR Berghofer) and Dr. Jackson Thorp (QIRM Berghofer) Title: Mapping the Genetic Landscape of Psychiatric Disorders: From GWAS to Genomic Networks Abstract: After completing her master in Psychological methods at the UvA (2001), Professor Eske Derks focused her research on modelling the influence of genetic variation on human behavior. In this talk, Eske will discuss how genetics research has advanced from twin studies, through Genome Wide Association studies (i.e., comparing DNA profiles in millions of patients and healthy controls), to the use of genetic data to improve our understanding of the nature of psychiatric disorders. She will discuss how genetic data can be used to model genetic overlap across comorbid disorders, and to model phenotypic/symptom heterogeneity within disorders. Eske is head of the Translational Neurogenomics Laboratory at QIMR Berghofer, Brisbane, Australia and works in private practice as a psychologist. This will be a joint presentation with Dr. Jackson Thorp, who recently developed Genomic Network Analysis (GNA), an analytic framework that applies the principles of network analysis to estimates of genetic overlap derived from GWAS summary statistics. GNA estimates the genetic association between traits conditional on all other traits in the network, taking an otherwise dense structure of genetic correlations and deconvolving it to a sparse genomic network that retains the most crucial associations. Once a network is estimated, properties of the network (e.g. topological features, sparsity, node centrality), can provide important insight into the structure and genetic architecture of the system of traits. GNA is available as an open-source R package (https://github.com/GenomicNetworkAnalysis/GNA) Time and Place: July 1st, 15:00 - 16:00, Room A2.01

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Mellenbergh Lecture Andy Field TOMORROW
by sobedsc-fmg 09 Jun '26

09 Jun '26

Dear All, You are invited to join the upcoming Mellenbergh lecture on Wednesday, June 10th! Professor Andy Field will talk about the use of OLS models in psychology. Speaker: Professor Andy Field, Professor of Quantitative Methods at the University of Sussex, UK (yes, the stats book guy!) Title: Statistical Practice in Psychology: The Numbers of the Beast Abstract: Ordinary Least Squares (OLS) estimation is commonly used in psychological research to analyse data from a range of research designs. This talk explores the performance of OLS estimation under real world situations. I look at data showing that in practice Psychology researchers routinely collect data that is a challenge for OLS estimation. Furthermore, I show that OLS performs poorly compared to other estimation methods. I then shine the spotlight on research practice using data suggesting that Psychology researchers do not fully understand the conditions under which OLS models perform well. It turns out that they also do not attend fully to these conditions in their own work or when faced with a new analytical challenge! After this relentless barrage of negativity I will try to finish on a note of positivity by exploring some ways to improve statistical practice. Time and Place: June 10th, 11:00 - 12:00, Room M1.02

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Update June 4th Special Interest Group AI Meeting
by sobedsc-fmg 31 May '26

31 May '26

Dear All, our next Special Interest AI Group is scheduled for Thursday, June 4th, and will take place from 11:00 - 12:00 (room GS.08). We will start with a 15-minute talk by Jasper Wijnen about the potential threats of AI in research (please see the abstract below). The remainder of the session is reserved for an open discussion where your opinion will matter for shaping the next Special Interest AI Groups! We would like to know about your current engagement with AI in research, which topics you would like to see covered in future sessions, and whether you would like to take the lead and share your AI research skills in an interactive learning session. Jasper Wijnen: LLM Participation in Online Research: How Worried Should We Be? Large language models (LLMs) are no longer just tools used by researchers; they are increasingly “present” on the participant side of our online studies. Participants may outsource entire surveys to LLMs or use them more subtly for translation, paraphrasing, or generating open‑ended responses. This raises fundamental questions for the validity, reproducibility, and credibility of our findings, especially in fields that rely heavily on online data collection. In this talk I will first sketch the emerging risk profile of LLM participation in online research, using a recent incident in our FMG subject pool as a concrete example. I will distinguish between full LLM delegation (synthetic respondents completing studies end‑to‑end) and LLM‑assisted participation (human respondents whose answers are partially generated or shaped by AI), and discuss why both forms are problematic in different ways. The main goal of the session, however, is not to provide a finished solution, but to learn from your practice: * How often do you suspect LLM involvement in your own studies? * Which signals or checks do you already use? * How serious do you judge the risk for your type of research? We will collect experiences, map disciplinary differences in risk perception, and identify promising mitigation strategies. Finally, I will outline possible follow‑up steps (e.g. a faculty working group and shared guidelines) and invite interested researchers to become involved in shaping our collective response. We look forward to welcoming you there! Kind Regards, The SoBeDSC

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Cancellation April 2nd Special Interest Group and Invite George Leckie Visiting Fellow Workshop
by Anika Korobkov 01 Apr '26

01 Apr '26

Dear All, We are sorry to announce the cancellation of tomorrow's Special Interest Group because Trevor Incerti fell ill. The next AI Special Interest Group is scheduled for May 7th, REC GS.04 (11:00 - 12:00) and we would be glad to welcome you there. We also warmly invite you to the workshop of our visiting fellow Professor George Leckie, on April 16th (13:00 - 16:00)! Professor Leckie will introduce Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). MAIHDA is an increasingly popular method for studying intersectional inequalities in individual outcomes. A typical application might examine how mean reading scores vary across combinations of sex, ethnicity, and social class, and disability. In his seminar, professor Leckie will introduce the approach, explore its links to intersectional theory, and outline its various extensions, illustrating each with examples from published applications. The seminar is followed by a workshop providing participants with hands-on experience on applying MAIHDA in R or Stata. Find more information about this workshop on our event page<https://sobedsc.uva.nl/events/events.html> and sign up with this link to confirm your attendance<https://sobedsc.uva.nl/content/events/2026/04/visiting-fellow-george-leckie…>. Kind Regards, The SoBeDSC Team

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SoBeDSC Workshop - George Leckie on MAIHDA: a new approach for studying intersectional inequalities
by Anika Korobkov 19 Mar '26

19 Mar '26

Dear colleagues, We would like to invite you to our upcoming lecture and workshop: MAIHDA, a new approach for studying intersectional inequalities<https://sobedsc.uva.nl/content/events/2026/04/visiting-fellow-george-leckie…>. George Leckie<https://www.bristol.ac.uk/cmm/team/leckie.html> is a visiting fellow of SoBe DSC, Co-Director of the Centre for Multilevel Modelling (CMM) at the School of Education at the University of Bristol, and will provide this lecture as part of the RICDE lecture series. Invitation: Thursday 16 April 2026 Professor Leckie will provide a seminar and workshop on Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). MAIHDA is an increasingly popular method for studying intersectional inequalities in individual outcomes. A typical application might examine how mean reading scores vary across combinations of sex, ethnicity, and social class, and disability. In his seminar, professor Leckie will introduce the approach, explore its links to intersectional theory, and outline its various extensions, illustrating each with examples from published applications. The seminar is followed by a workshop providing participants with hands-on experience on applying MAIHDA in R or Stata. Programme * 13:00 Lecture * 14:00 Coffee break * 14:15 Workshop * 16:00 Closing Location: REC JK B.11 Register here: SoBe DSC seminar and workshop on MAIHDA<https://forms.office.com/Pages/ResponsePage.aspx?id=zcrxoIxhA0S5RXb7PWh05W1…> Best regards, [cid:4178572e-63f4-4c8f-8087-cbaca5e1aa08]The team of SoBe DSC<https://sobedsc.uva.nl/> ________________________________________________________________________________ Microsoft Teams meeting Join: https://teams.microsoft.com/meet/35078675736439?p=XNuhQ5QNtCYb7ydkDC Meeting ID: 350 786 757 364 39 Passcode: qH2fi2pP ________________________________ Need help?<https://aka.ms/JoinTeamsMeeting?omkt=en-US> | System reference<https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZDZkNjk4N2YtMjhkOS00…> For organizers: Meeting options<https://teams.microsoft.com/meetingOptions/?organizerId=9b51c7b6-e6d1-4054-…> ________________________________________________________________________________

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by sobedsc-fmg 17 Jan '25

17 Jan '25

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2026

2025

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