Environmental changes driven by anthropogenic activities often disrupt animal communication and mating behavior. Consequently, these changes may force animals to adopt alternative mating tactics and strategies to find a mate. The mating disruption technique is an environmentally friendly tactic often used to control the pink-bollworm moth population in cotton fields. Though mating disruption is eco-friendly, it represents a Human-Induced Rapid Environmental Change for the targeted moths. Mating disruption involves spreading a synthetic version of the species-specific sex pheromone in the field, creating a pheromone-polluted environment, making it difficult for male moths to locate females and thereby reducing mating rates. We hypothesized that the intense sexual selection and environmental changes affecting communication would lead moths to increase their use of alternative mating strategies. An observed alternative mating behavior in male pink bollworm moths is disturbing mating pairs to displace the male and mate with the female. We compared this behavior between two populations and found that males long exposed to mating disruption disturbed mating pairs more frequently than those never exposed to it. In addition, males with a prolonged history of exposure to mating disruption showed reduced choosiness of females and increased their mating rate with small females of lower reproductive potential. The success rate of the observed couple disturbance was low. Nonetheless, this strategy, alongside other strategies, may contribute to the males’ reproductive success when facing the additional challenge of locating females due to the pheromone-polluted environment.

How social complexity evolved remains a long-standing enigma. In most animal groups, social complexity is typically classified into a few discrete classes. This approach is oversimplified and constrains our inference of social evolution to a narrow trajectory consisting of transitions between classes. Such categorical classifications also limit quantitative studies on the molecular and environmental drivers of social complexity. The recent accumulation of relevant quantitative data has set the stage to overcome these limitations. Here, we propose a data-driven, high-dimensional approach for studying the full diversity of social phenotypes. We curated and analyzed a comprehensive dataset encompassing 17 social traits across 80 species and studied the evolution of social complexity in bees. We found that honey bees, stingless bees, and bumble bees underwent a major evolutionary transition ∼80 mya, inconsistent with the stepwise progression of the social ladder conceptual framework. This major evolutionary transition was followed by a phase of substantial phenotypic diversification of social complexity. Other bee lineages display a continuum of social complexity, ranging from solitary to simple societies, but do not reach the levels of social complexity seen in honey bees, stingless bees, and bumble bees. Bee evolution, therefore, provides a remarkable demonstration of a macroevolutionary process in which a major transition removed biological constraints and opened novel evolutionary opportunities, driving the exploration of the landscape of social phenotypes. Our approach can be extended to incorporate additional data types and readily applied to illuminate the evolution of social complexity in other animal groups.

Poor sleep is pervasive in modern society. Poor sleep is associated with major physical and mental health consequences, as well as with impaired cognitive function. Less is known about the relationship between sleep and emotional and interpersonal behavior. In this work, we investigate whether poor sleep impairs empathy, an important building block of human interaction and prosocial behavior. We aimed to capture the effects of poor sleep on the various aspects of empathy: trait and state, affect and cognition.

Study 1 (n = 155) assessed daily habitual sleep over several days, and global sleep quality in the past month. Participants who reported worse sleep quality exhibited lower empathic caring and perspective-taking traits. Study 2 (n = 347) induced a one-night disruption of sleep continuity to test a causal relationship between sleep and empathy. Participants in the sleep disrupted condition had to briefly wake up five times over the night, whereas the sleep-rested controls slept normally. In the next morning, participants’ empathy and prosocial intentions were assessed. Participants in the sleep disruption condition exhibited lower empathic sensitivity and less prosocial decision-making than sleep-rested controls.

The main contribution of this work is in providing a robust demonstration of the multi-faceted detrimental effects of poor sleep on trait and state empathy. Our findings demonstrate that poor sleep causally impairs empathic response to the suffering of others. These findings highlight the need for greater public attention to adequate sleep, which may impact empathy on a societal level.

Emotion perception is a fundamental aspect of our lives because others’ emotions may provide important information about their reactions, attitudes, intentions, and behavior. Following the seminal work of Ekman, much of the research on emotion perception has focused on facial expressions. Recent evidence suggests, however, that facial expressions may be more ambiguous than previously assumed and that context also plays an important role in deciphering the emotional states of others. Here, we adopt a novel approach, breaking down the means and documenting a robust trait in emotion perception. In six experiments with 671 participants, we find evidence for striking individual differences in emotion perception, with different people presenting profound differences in weighting the face versus the extrafacial context. Importantly, these differences are stable over time, stimuli, and paradigms. Our data show that individuals are interpreting identical emotional displays as communicating different emotions. Implications of these robust differences are discussed.

Innovations, such as symbolic artifacts, are a product of cognitive abilities but also of cultural context. Factors that may determine the emergence and retention of an innovation include the population's pre-existing cultural repertoire, exposure to relevant ways of thinking, and the invention's utility. Thus, we suggest that the production of symbolic artifacts is not guaranteed even in cognitively advanced societies.

How can we build trust, especially in polarized societies? We propose that exposure to broad financial markets—where individuals place their assets in the hands of large groups of unfamiliar agents who nonetheless have the incentive and ability to promote their interests—can contribute to generalized trust. In a randomized controlled trial, we encourage Israelis to hold or trade stocks for up to seven weeks. We find that participation in financial markets increases the probability of expressing generalized trust by about 6 percentage points, equivalent to a quarter of the control group mean. The effects seem to be driven by political partisans along the left–right spectrum in Israel, and are robust to negative price changes. Thus, trust is not only a cause but can also be an effect of participation in financial markets.