I think one another argument that's been helpful for me (and the truth) is that the preregistration helps me to think through my research questions, plan more thoroughly. Also similar misunderstandings occur for preprints I think.
Posts by Ritika C
Thank you for sharing this!! Could you share a reference for marginalization if possible?
š¢ Weāre looking for a writer to join our team at Our World in Data!
What weāre looking for is quite unique: someone who writes excellent narrative articles on large global problems, finds memorable framings to make hard ideas easier to understand, while being genuinely obsessed w/ technical details
Are you an planning on appyiyng for a PhD in psychology in the fall? Want to learn more about the application process and what programs are looking for? Come to our info session!
I defended my PhD 10 years ago today. That was the least remarkable thing that happened that day. Sharing something I wrote about it last year. Since then "the horrors persist but so do we." And with dignity.
Libby did a great job here and even managed to get out my love for fantasy!
I sometimes think this is because they are seen as more a metric to evidence that you can do A Difficult But Desirable Thing (getting through the peer reviewed process) for promotions/hiring purposes, rather than actually needing to be useful.
Short, jargon-free version on my website: ritika-chokhani.github.io/projects/rev...
Full academic article: doi.org/10.1016/j.cp... 5/5
But there were methodological issues, with most studies unable to make causal inferences. Hence, we make 4 key recommendations for future research. With @dralexlloyd.bsky.social, Essi Viding, Mattia Gerin & Eamon McCrory. 4/5
We found it is plausible that individuals with experience of interpersonal trauma may mistrust others, feel more uncertain about mental states, perceive more external control over their lives and seek out others less to regulate emotions, which in turn linked to transdiagnostic symptoms. 3/5
We searched for articles on trust, mentalizing, agency and interpersonal emotion regulation and included 78 studies based on 84 articles. 2/5
Excited to share 1st study of my PhD now published: scoping review of candidate mechanisms for the neurocognitive social-transactional model - the idea that interpersonal trauma in childhood can change how we think/feel/act in relationships, which in turn could affect mental health. Links below 1/5
I'm currently hiring for a PhD studentship based at City St George's, University of London as part of @equalise.bsky.social 'Family and environmental influences on children's home learning, and inequalities in education and mental health outcomes' Apply here: www.citystgeorges.ac.uk/prospective-...
Apologies, here is the right link to apply for postdoc positions in the lab:
forms.gle/Hb8rS9hD3BV7...
Please repost to help us spread the word!
Is your example about when to stretch/truncate available somewhere to read?
one paper that helped me better understand the difference between probabilistic and deterministic causes was this one: pubmed.ncbi.nlm.nih.gov/35510303/
I think this also comes from the fact that you're expected to see more complex clients using same amount of time, with same amount of support/supervision. It works better in services designed especially for more complex work and have adjusted caseloads/support systems. Trickier in private practice.
Such an important topic!
I wrote a blog on applying for UK PhD programs, particularly based on my experience applying as an international student. I also link to other great resources I've found - do share if you think it might be helpful for someone :)
ā ļø Job Alert ā ļø
I'm recruiting a postdoc to work with me and Professor @jonroiser.bsky.social on an exciting new project examining the link between young people's decision-making on social media and their mental health.
I found this paper useful - and it does have the basic definitions - but did not find it fully introductory as I understood it better after I'd read some other papers on network analysis: www.nature.com/articles/s43...
A table showing profit margins of major publishers. A snippet of text related to this table is below. 1. The four-fold drain 1.1 Money Currently, academic publishing is dominated by profit-oriented, multinational companies for whom scientific knowledge is a commodity to be sold back to the academic community who created it. The dominant four are Elsevier, Springer Nature, Wiley and Taylor & Francis, which collectively generated over US$7.1 billion in revenue from journal publishing in 2024 alone, and over US$12 billion in profits between 2019 and 2024 (Table 1A). Their profit margins have always been over 30% in the last five years, and for the largest publisher (Elsevier) always over 37%. Against many comparators, across many sectors, scientific publishing is one of the most consistently profitable industries (Table S1). These financial arrangements make a substantial difference to science budgets. In 2024, 46% of Elsevier revenues and 53% of Taylor & Francis revenues were generated in North America, meaning that North American researchers were charged over US$2.27 billion by just two for-profit publishers. The Canadian research councils and the US National Science Foundation were allocated US$9.3 billion in that year.
A figure detailing the drain on researcher time. 1. The four-fold drain 1.2 Time The number of papers published each year is growing faster than the scientific workforce, with the number of papers per researcher almost doubling between 1996 and 2022 (Figure 1A). This reflects the fact that publishersā commercial desire to publish (sell) more material has aligned well with the competitive prestige culture in which publications help secure jobs, grants, promotions, and awards. To the extent that this growth is driven by a pressure for profit, rather than scholarly imperatives, it distorts the way researchers spend their time. The publishing system depends on unpaid reviewer labour, estimated to be over 130 million unpaid hours annually in 2020 alone (9). Researchers have complained about the demands of peer-review for decades, but the scale of the problem is now worse, with editors reporting widespread difficulties recruiting reviewers. The growth in publications involves not only the authorsā time, but that of academic editors and reviewers who are dealing with so many review demands. Even more seriously, the imperative to produce ever more articles reshapes the nature of scientific inquiry. Evidence across multiple fields shows that more papers result in āossificationā, not new ideas (10). It may seem paradoxical that more papers can slow progress until one considers how it affects researchersā time. While rewards remain tied to volume, prestige, and impact of publications, researchers will be nudged away from riskier, local, interdisciplinary, and long-term work. The result is a treadmill of constant activity with limited progress whereas core scholarly practices ā such as reading, reflecting and engaging with othersā contributions ā is de-prioritized. What looks like productivity often masks intellectual exhaustion built on a demoralizing, narrowing scientific vision.
A table of profit margins across industries. The section of text related to this table is below: 1. The four-fold drain 1.1 Money Currently, academic publishing is dominated by profit-oriented, multinational companies for whom scientific knowledge is a commodity to be sold back to the academic community who created it. The dominant four are Elsevier, Springer Nature, Wiley and Taylor & Francis, which collectively generated over US$7.1 billion in revenue from journal publishing in 2024 alone, and over US$12 billion in profits between 2019 and 2024 (Table 1A). Their profit margins have always been over 30% in the last five years, and for the largest publisher (Elsevier) always over 37%. Against many comparators, across many sectors, scientific publishing is one of the most consistently profitable industries (Table S1). These financial arrangements make a substantial difference to science budgets. In 2024, 46% of Elsevier revenues and 53% of Taylor & Francis revenues were generated in North America, meaning that North American researchers were charged over US$2.27 billion by just two for-profit publishers. The Canadian research councils and the US National Science Foundation were allocated US$9.3 billion in that year.
The costs of inaction are plain: wasted public funds, lost researcher time, compromised scientific integrity and eroded public trust. Today, the system rewards commercial publishers first, and science second. Without bold action from the funders we risk continuing to pour resources into a system that prioritizes profit over the advancement of scientific knowledge.
We wrote the Strain on scientific publishing to highlight the problems of time & trust. With a fantastic group of co-authors, we present The Drain of Scientific Publishing:
a š§µ 1/n
Drain: arxiv.org/abs/2511.04820
Strain: direct.mit.edu/qss/article/...
Oligopoly: direct.mit.edu/qss/article/...
also, i'm looking for a phd student to join our team at the @aial.ie
bsky.app/profile/abeb...
I also feel that sometimes when students try to do something useful in the field, they're then told it's a training program/dont be too ambitious, but really the Prof may not have a good sense of how to guide the student through what they're asking bc it's different from what they usually do.
This is not the first time RFK Jr or his fellow anti-vax travelers conducted a study they knew would harm or kill children in low-income countries. It is a dehumanizing, colonialist model of manufacturing evidence: sacrificing foreign kids for political pseudoscience.
www.notus.org/health-scien...
The Psychological Impact of Digital Isolation: How AI-Driven Social Interactions Shape Human Behavior and Mental Well-Being Felix Eling 3697-3705 Apr 30, 2025 Education The Psychological Impact of Digital Isolation: How AI-Driven Social Interactions Shape Human Behavior and Mental Well-Being Felix Eling Faculty of Health Sciences, Department of Pharmacy, Gulu College of Health Sciences, Gulu City, Northern Uganda DOI: https://dx.doi.org/10.47772/IJRISS.2025.90400265 Received: 13 March 2025; Revised: 22 March 2025; Accepted: 25 March 2025; Published: 30 April 2025 ABSTRACT The increasing integration of artificial intelligence (AI) in social interactions has transformed how humans experience companionship, communication, and mental well-being. This review examines the psychological impact of AI-driven social interactions, focusing on virtual assistants, AI chatbots, and digital companions. It explores the benefits, risks, and ethical concerns associated with AI companionship. A systematic review methodology was employed, detailing inclusion criteria, databases searched, and analysis techniques. Findings suggest that while AI can offer emotional relief and support, over-reliance may disrupt real-world social bonding. Ethical concerns such as data privacy, emotional manipulation, and regulatory gaps are highlighted. The study underscores the need for balanced AI integration in human socialization. The study also addresses gaps in previous literature by examining AIās influence on different demographic groups and cultural contexts.
Let me tell you a story. Perhaps you can guess where this is going... though it does have a bit of a twist.
I was poking around Google Scholar for publications about the relationship between chatbots and wellness. Oh how useful: a systematic literature review! Let's dig into the findings. š§µ
Hilarious thread
thank you for sharing :)
While there is sig research on how social support is a resilience factor after experiencing trauma, I'm aiming to take a more "social-transactional" perspective and look at the mechanisms that could lead to "social thinning" i.e. having sparser networks, feeling less supported, more lonely.
My PhD is based on the neurocognitive social-transactional model: the idea that interpersonal trauma in childhood can lead to changes in the way we think/feel/act in relationships, which in turn could affect mental health. This review scoped initial evidence for candidate mechanisms for this model!