Publications in Scientific Reports
The enmity paradox
The “friendship paradox” of social networks states that, on average, “your friends have more friends than you do”. Here, we theoretically and empirically explore a related and overlooked paradox we refer to as the “enmity paradox”. We use empirical data from 24,678 people living in 176 villages in rural Honduras. We empirically show that, for a real negative undirected network (created by symmetrizing antagonistic interactions), the paradox exists as it does in the positive world. Specifically, a person’s enemies have more enemies, on average, than a person does. Furthermore, in a mixed world of positive and negative ties, we study the conditions for the existence of the paradox, which we refer to as the “mixed-world paradox”, both theoretically and empirically, finding that, for instance, a person’s friends typically have more enemies than a person does. We also confirm the “generalized” enmity paradox for non-topological attributes in real data, analogous to the generalized friendship paradox (e.g., the claim that a person’s enemies are richer, on average, than a person is). As a consequence, the naturally occurring variance in the degree distribution of both friendship and antagonism in social networks can skew people’s perceptions of the social world. © 2023, The Author(s).
Ordinary citizens are more severe towards verbal than nonverbal hate-motivated incidents with identical consequences
Do we judge hate incidents similarly when they are performed using words or bodily actions? Hate speech incidents are rarely reported by bystanders, and whether or how much they should be punished remains a matter of legal, theoretical and social disagreement. In a pre-registered study (N = 1309), participants read about verbal and nonverbal attacks stemming from identical hateful intent, which created the same consequences for the victims. We asked them how much punishment the perpetrator should receive, how likely they would be to denounce such an incident and how much harm they judged the victim suffered. The results contradicted our pre-registered hypotheses and the predictions of dual moral theories, which hold that intention and harmful consequences are the sole psychological determinants of punishment. Instead, participants consistently rated verbal hate attacks as more deserving of punishment, denunciation and being more harmful to the victim than nonverbal attacks. This difference is explained by the concept of action aversion, suggesting that lay observers have different intrinsic associations with interactions involving words compared to bodily actions, regardless of consequences. This explanation has implications for social psychology, moral theories, and legislative efforts to sanction hate speech, which are considered. Protocol registration: The Stage 1 protocol for this Registered Report was accepted in principle on 29/06/2022. The protocol, as accepted by the journal, can be found at: https://doi.org/10.17605/OSF.IO/Z86TV . © 2023, The Author(s).
Research Fields
Experimental Psychology, Health Sciences, Psychology & Cognitive Sciences
Functional dissection of two amino acid substitutions unique to the human FOXP2 protein
The transcription factor forkhead box P2 (FOXP2) is involved in the development of language and speech in humans. Two amino acid substitutions (T303N, N325S) occurred in the human FOXP2 after the divergence from the chimpanzee lineage. It has previously been shown that when they are introduced into the FOXP2 protein of mice they alter striatal synaptic plasticity by increasing long-term depression in medium spiny neurons. Here we introduce each of these amino acid substitutions individually into mice and analyze their effects in the striatum. We find that long-term depression in medium spiny neurons is increased in mice carrying only the T303N substitution to the same extent as in mice carrying both amino acid substitutions. In contrast, the N325S substitution has no discernable effects. © 2023, The Author(s).
Research Fields
Biomedical Research, Developmental Biology, Health Sciences
New approaches to epidemic modeling on networks
In this article, we develop two independent and new approaches to model epidemic spread in a network. Contrary to the most studied models, those developed here allow for contacts with different probabilities of transmitting the disease (transmissibilities). We then examine each of these models using some mean field type approximations. The first model looks at the late-stage effects of an epidemic outbreak and allows for the computation of the probability that a given vertex was infected. This computation is based on a mean field approximation and only depends on the number of contacts and their transmissibilities. This approach shares many similarities with percolation models in networks. The second model we develop is a dynamic model which we analyze using a mean field approximation which highly reduces the dimensionality of the system. In particular, the original system which individually analyses each vertex of the network is reduced to one with as many equations as different transmissibilities. Perhaps the greatest contribution of this article is the observation that, in both these models, the existence and size of an epidemic outbreak are linked to the properties of a matrix which we call the R-matrix. This is a generalization of the basic reproduction number which more precisely characterizes the main routes of infection. © 2023, The Author(s).
Research Fields
Applied Sciences, Artificial Intelligence & Image Processing, Information & Communication Technologies
Diffusion of punishment in collective norm violations
People assign less punishment to individuals who inflict harm collectively, compared to those who do so alone. We show that this arises from judgments of diminished individual causal responsibility in the collective cases. In Experiment 1, participants (N = 1002) assigned less punishment to individuals involved in collective actions leading to intentional and accidental deaths, but not failed attempts, emphasizing that harmful outcomes, but not malicious intentions, were necessary and sufficient for the diffusion of punishment. Experiments 2.a compared the diffusion of punishment for harmful actions with ‘victimless’ purity violations (e.g., eating a dead human’s flesh as a group; N = 752). In victimless cases, where the question of causal responsibility for harm does not arise, diffusion of collective responsibility was greatly reduced—an outcome replicated in Experiment 2.b (N = 479). Together, the results are consistent with discounting in causal attribution as the underlying mechanism of reduction in proposed punishment for collective harmful actions.
Research Fields
Experimental Psychology, Health Sciences, Psychology & Cognitive Sciences
Serological fingerprints link antiviral activity of therapeutic antibodies to affinity and concentration
The effectiveness of therapeutic monoclonal antibodies (mAbs) against variants of the SARS-CoV-2 virus is highly variable. As target recognition of mAbs relies on tight binding affinity, we assessed the affinities of five therapeutic mAbs to the receptor binding domain (RBD) of wild type (A), Delta (B.1.617.2), and Omicron BA.1 SARS-CoV-2 (B.1.1.529.1) spike using microfluidic diffusional sizing (MDS). Four therapeutic mAbs showed strongly reduced affinity to Omicron BA.1 RBD, whereas one (sotrovimab) was less impacted. These affinity reductions correlate with reduced antiviral activities suggesting that affinity could serve as a rapid indicator for activity before time-consuming virus neutralization assays are performed. We also compared the same mAbs to serological fingerprints (affinity and concentration) obtained by MDS of antibodies in sera of 65 convalescent individuals. The affinities of the therapeutic mAbs to wild type and Delta RBD were similar to the serum antibody response, indicating high antiviral activities. For Omicron BA.1 RBD, only sotrovimab retained affinities within the range of the serum antibody response, in agreement with high antiviral activity. These results suggest that serological fingerprints provide a route to evaluating affinity and antiviral activity of mAb drugs and could guide the development of new therapeutics.
Research Fields
Biochemistry & Molecular Biology, Biomedical Research, Health Sciences
The role of anticipated regret in choosing for others
In everyday life, people sometimes find themselves making decisions on behalf of others, taking risks on another’s behalf, accepting the responsibility for these choices and possibly suffering regret for what they could have done differently. Previous research has extensively studied how people deal with risk when making decisions for others or when being observed by others. Here, we asked whether making decisions for present others is affected by regret avoidance. We studied value-based decision making under uncertainty, manipulating both whether decisions benefited the participant or a partner (beneficiary effect) and whether the partner watched the participant’s choices (audience effect) and their factual and counterfactual outcomes. Computational behavioural analysis revealed that participants were less mindful of regret (and more strongly driven by bigger risks) when choosing for others vs for themselves. Conversely, they chose more conservatively (regarding both regret and risk) when being watched vs alone. The effects of beneficiary and audience on anticipated regret counteracted each other, suggesting that participants’ financial and reputational interests impacted the feeling of regret independently.
Research Fields
Health Sciences, Psychology & Cognitive Sciences, Social Psychology
A selectable all-in-one CRISPR prime editing piggyBac transposon allows for highly efficient gene editing in human cell lines
CRISPR prime-editors are emergent tools for genome editing and offer a versatile alternative approach to HDR-based genome engineering or DNA base-editors. However, sufficient prime-editor expression levels and availability of optimized transfection protocols may affect editing efficiencies, especially in hard-to-transfect cells like hiPSC. Here, we show that piggyBac prime-editing (PB-PE) allows for sustained expression of prime-editors. We demonstrate proof-of-concept for PB-PE in a newly designed lentiviral traffic light reporter, which allows for estimation of gene correction and defective editing resulting in indels, based on expression of two different fluorophores. PB-PE can prime-edit more than 50% of hiPSC cells after antibiotic selection. We also show that improper design of pegRNA cannot simply be overcome by extended expression, but PB-PE allows for estimation of effectiveness of selected pegRNAs after few days of cultivation time. Finally, we implemented PB-PE for efficient editing of an amyotrophic lateral sclerosis-associated mutation in the SOD1-gene of patient-derived hiPSC. Progress of genome editing can be monitored by Sanger-sequencing, whereas PB-PE vectors can be removed after editing and excised cells can be enriched by fialuridine selection. Together, we present an efficient prime-editing toolbox, which can be robustly used in a variety of cell lines even when non-optimized transfection-protocols are applied.
Research Fields
Biomedical Research, Developmental Biology, Health Sciences
8 of 15 Publications