
Julia Moeller
@PassionResearch
Followers
951
Following
9K
Media
22
Statuses
3K
Psychologist, researcher, Prof. @unileipzig, motivation & emotions in learning & work, experience sampling method, within-person methods, open science
Joined April 2015
How will machine learning and artificial intelligence change how we develop and test scientific theories? . What do we do about Popper (deduction), now that inductive and abductive techniques boom? . @_danielaschmidt & I discuss this in our pre-print: .
osf.io
Where does trustworthy knowledge come from? This article suggests that the answer to this epistemological question has fundamentally changed due to the recent bloom of machine learning (ML) techniq...
2
9
20
RT @AnnaLangener: Last week, I successfully defended my PhD with distinction (cum laude) at @univgroningen! 🥳✨ I’m beyond grateful for my i….
0
2
0
RT @EmorieBeck: For those attending #dgps2024, please consider checking out my keynote address on Thursday, title "The Person in Psychology….
0
9
0
RT @adeelrazi: Great collaboration with a bunch of very nice people. Outcome of our @CIFAR_News / @Foundation_JF causal inference workshop.….
0
10
0
RT @MarilynPicciri1: ✨Come join us *TOMORROW* at 11AM ET to learn about @TruijensFemke 's work blending qualitative methods, measurement, a….
0
3
0
RT @lakens: In the next 3 episodes of @nulliusverbapod we will be discussing Paul Meehl's Philosophical Psychology course. Still one of the….
0
19
0
RT @LFeldmanBarrett: Here's my fourth and final lecture on #philosophy and #neuroscience at Ruhr University Bochum. The title is "Relationa….
0
44
0
Recently, we finished two new papers on network analyses and how they can contribute new insights to research on motivation & emotion. Most insightful is a comparison of different network methods:.Pre-prints:.with @stefankulakow .&
osf.io
Schoolwork Engagement and school burnout are both multi-facetted constructs consisting of multiple components, including emotional, affective and behavioral facets for engagement and exhaustion,...
0
0
2
RT @aidangcw: Check out this rad new paper proposing a framework for thinking about structural homogeneity for individuals in intensive lon….
tandfonline.com
With the increased use of time series data in human research, ranging from ecological momentary assessments to data passively obtained, researchers can explore dynamic processes more than ever befo...
0
13
0
RT @Foundation_JF: Tonight, Professor Janet M. Currie from @Princeton was awarded the Klaus J. Jacobs Research Prize! Upon receiving the aw….
0
3
0
RT @BSI_Bund: Strong passwords, active firewalls, a critical approach to web links and emails? #Cybersecurity has many facets. In the backg….
0
2
0
RT @uofleatlab: Sign up for our workshop tomorrow at 8:00am on Network-Informed Personalized Treatment for Eating Disorders at #ABCT2023 #A….
0
2
0
RT @gaertner_anne: Anyone interested in the project Responsible Research Assessment (or the other winners ;-) can join the "meet the winner….
0
3
0
RT @SocialPsychBull: We are excited to present a new special topic in the most recent volume of @SocialPsychBull: "Is Psychology Self-Corre….
0
27
0
RT @8urghardt: Am 04.12.23 findet nachmittags im Vortragssaal der Bibliotheca Albertina der alljährliche Digital Humanities Day Leipzig (#D….
0
14
0
RT @GolinoHudson: Our new, updated paper is now finished: Towards a psychology of individuals: The ergodicity information index and a botto….
0
28
0
RT @giladfeldman: == Seeking talks/presentations/slides about (open) peer review == . For an upcoming class, I'm looking for slides/talks a….
0
3
0
RT @Foundation_JF: In the fourth video of our series with 2023 Klaus J. Jacobs Award Recipient Professor Janet M. Currie, she speaks about….
0
2
0
RT @DrJessicaFritz: ♦️📢New preprint alert📢♦️. Delighted to finally share our preprint: "So you want to do ESM? Ten Essential Topics for Imp….
osf.io
The experience sampling method (ESM) captures psychological experiences over time and in everyday contexts, thereby offering exciting potential for collecting more temporally fine-grained and...
0
49
0