Carlotta Rieble

Now on 🦋, same name

PhD Candidate @UniLeiden | Alumna @ResMaPsychology

Investigating depression onset

#OpenScience

[Eiko Fried @EikoFried]

After 5 yrs of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate.

If you share a single thing of my lab this year, please make it this competition.

https://t.co/BeYDExi6qZ

[Eiko Fried @EikoFried]

1/2
Our new preprint shows how to estimate internal consistency reliability in EMA data:

➡️n~1150, 3 months data, 4 scales
➡️6 nomothetic & idiographic methods
➡️2 timescales (4/day, 1/week)
➡️2 languages (ENG vs NL)
➡️separation of between & within person reliability.

[Eiko Fried @EikoFried]

New preprint by @b_siepe & WARN-D team.
We collected information on sleep, tiredness & stress with both EMA and sensor data, and try to find out to which degree these are associated contemporaneously in a large dataset (n~800) with many timepoints (t~360).

Brief 🧵

[Carlotta Rieble @carlottarieble]

@sharinahamm @YalePsychology @ShirleyBWang Congratulations!!

[Eiko Fried @EikoFried]

1/8 New tutorial preprint led by @b_siepe in which we present different descriptive statistics & data visualization techniques with the goal to better understand EMA item functioning.

Preprint: https://t.co/3RsnEuup3l

Brief overview thread 🧵:

[Eiko Fried @EikoFried]

1/4 FRED is online, our free open source software to provide feedback to participants in EMA studies.
We (led by @AljoschaRimpler) programmed the software to provide feedback at scale to our ~2000 WARN-D participants. Hope it will be useful to researchers & clinicians alike!

[Eiko Fried @EikoFried]

Excited that our WARN-D protocol paper is now published #OpenAccess, introducing the rationale, design, objectives, & measures of WARN-D.
It took us a year to build the measurement battery: it's available in supplementary & we hope others will use it.

https://t.co/gG6Bq99xTJ

[Björn Siepe @b_siepe]

Preprint on Bayesian estimation and testing for idiographic networks (https://t.co/UrwPqhfgFQ)🎉
Networks on n=1 data are popular, but they often contain a lot of noise. How can we test if networks that look different reflect more than sampling variability?
🧵below

[Dr. Christina Ralph-Nearman @CRalphNearman]

Honored to bring brilliant scientists together for an incredible symposium @PsychScience #aps23dc today @DepressionLab @NC_Jacobson @carlottarieble @EikoFried @MyrtheVeenman @CheriLev & getting to visit @ShirleyBWang @matt_southward_ @MiriamHehlmann @b_siepe
@Schwartz_PsyRes

[Dr. Christina Ralph-Nearman @CRalphNearman]

📣amazing symposium I’m chairing Fri 4pm Holme’s West ‘The power of integration: leveraging multimodal data & methods to increase description, prediction, & understanding of mental health problems’ @DepressionLab @NC_Jacobson @carlottarieble @MyrtheVeenman @EikoFried @CheriLev

[Carlotta Rieble @carlottarieble]

Please help us find participants!

[Eiko Fried @EikoFried]

1/5 We're @UniLeiden researchers creating an early warning system for #depression in 🇳🇱 students (@ERC_Research). To do so we're collecting unique data we will share with the community #openscience.

We desperately need your help to reach more diverse students.

What can you do?

[Eiko Fried @EikoFried]

We'll be hiring a 3 year postdoc for our WARN-D project to build a warning system for #depression, based on 2 years of data in ~2000 students (incl. smartwatches & smartphones).

Would appreciate if you shared w colleagues :). Thx!

Short summary 🧵

https://t.co/hDYSo6chjs

[Omid V. Ebrahimi @OmidVEbrahimi]

🥁 Calling all network enthusiasts and critics 🥁
Have you ever engaged with the network approach to psychopathology or had reasons not to?

We are curious to hear your thoughts on the (non)applicability of network analyses and the network approach:

https://t.co/ltYqyfR0vv

[Eiko Fried @EikoFried]

🥁 Researchers & teachers in 🇳🇱: we need your help!
We are researchers at @UniLeiden, following 2000 students for 2 years using smartphones & -watches to build an early warning system for depression.
We want to recruit a diverse pool of participants. How can you help? ⬇️
(1/4)

[Eiko Fried @EikoFried]

🥁🥁🥁 After 1.5 years of hard work, I'm super duper excited to share the preprint of our protocol paper for WARN-D (with @RProppert & @carlottarieble), our study to build a personalized early warning system for depression. 1/4

https://t.co/xc1UCuubHQ

[Carlotta Rieble @carlottarieble]

Then reach out to [email protected]. Bonus points for applicants with R experience and/or Dutch proficiency. More info on the project: https://t.co/1vYoK5SJaB

Looking forward to working with you! :-)

[Carlotta Rieble @carlottarieble]

WARN-D is looking for new interns!

Are you interested in mental health research, open science, EMA, and/or activity tracking (via smartwatches)?

[Carlotta Rieble @carlottarieble]

So happy to have been a part of #apschi22! I talked about the personalized reports we give our EMA participants in the WARN-D study as a reward for participating. Huge shout out to @aljoscharimpler for his hard work on the underlying tool FRED (Feedback Reports on EMA Data).

[Marilyn Piccirillo @MarilynPicciri1]

@PsychScience @carlottarieble @Lino_vKlipstein @DepressionLab @EikoFried Sharing the OSF link to slides from our #apschi22 symposium for those who weren't able to attend (w/ a curated recording from @DepressionLab on the way! 🙏)

https://t.co/IbWyYF7U8Z

@Talyagreene @LauraGermine @gazellehouse1

Loved talking ESM w/ you all!

[Carlotta Rieble @carlottarieble]

@matt_southward_ was super nice meeting you (and thanks for the tour through American dialects :) )

[Marilyn Piccirillo @MarilynPicciri1]

Thanks @PsychScience for the opportunity to present our work developing and delivering personalized feedback from EMA!

Sat @ 11:30am

Me, @carlottarieble @Lino_vKlipstein @DepressionLab, and @EikoFried will share how EMA can help folks understand their health/behavior