Minh-Hoang Nguyen

Machine-based automation has long been a key factor in the modern era. However, lately, many people have been shocked by artificial intelligence (AI) applications, such as ChatGPT (OpenAI), that can perform tasks previously thought to be human-exclusive. With recent advances in natural language processing (NLP) technologies, AI can generate written content that is similar to human-made products, and this ability has a variety of applications. As the technology of large language models continues to progress by making use of colossal reservoirs of digital information, AI is becoming more capable of recognizing patterns and associations within given contexts, making it especially helpful in assisting with various professional writing tasks [1]. In this paper, we will discuss several key points regarding the current state and future of AI in academia. Furthermore, since in certain aspects, acts can speak louder than words, we will also present some of our hands-on experiences of working with ChatGPT.

The expanding integration of artificial intelligence (AI) in various aspects of society makes the infosphere around us increasingly complex. Humanity already faces many obstacles trying to have a better understanding of our own minds, but now we have to continue finding ways to make sense of the minds of AI. The issue of AI’s capability to have independent thinking is of special attention. When dealing with such an unfamiliar concept, people may rely on existing human properties, such as survival desire, to make assessments. Employing information-processing-based Bayesian Mindsponge Framework (BMF) analytics on a dataset of 266 residents in the United States, we found that the more people believe that an AI agent seeks continued functioning, the more they believe in that AI agent’s capability of having a mind of its own. Moreover, we also found that the above association becomes stronger if a person is more familiar with personally interacting with AI. This suggests a directional pattern of value reinforcement in perceptions of AI. As the information processing of AI becomes even more sophisticated in the future, it will be much harder to set clear boundaries about what it means to have an autonomous mind.

The water scarcity crisis is becoming more severe across the globe and recycled water has been suggested as a feasible solution to the crisis. However, expanding the use of potable and recycled public water has been hindered by public acceptance. Previous studies suggest threat perception and trust of provided information have positive linear relationships with recycled water acceptance. However, given the complex filtering role of trust in the human mental process, we argue that the effects of threat perception and trust may have non-linear relationships with acceptance of recycled water for drinking. To support and validate this argument, we employed Bayesian Mindsponge Framework analytics on 726 Spanish residents. We found that individuals more concerned about water shortage are less likely to accept using recycled water for drinking if their trust in the water quality and safety is low. Meanwhile, people more concerned about water shortage are more likely to accept using recycled water for drinking if they trust the water quality and safety. The findings suggest the non-linear relationships between threat perception, trust, and recycled water acceptance while validating mindsponge-based reasoning. Moreover, the results also highlight the importance of trust in influencing the mental process’s outcome: recycled water acceptance.

Working in academia is challenging, even more so for those with limited resources and opportunities. Researchers around the world do not have equal working conditions. The paper presents the structure, operation method, and conceptual framework of the SM3D Portal's community coaching method, which is built to help Early Career Researchers (ECRs) and researchers in low-resource settings overcome the obstacle of inequality and start their career progress. The community coaching method is envisioned by three science philosophies (cost-effectiveness, transparency spirit, and proactive attitude) and established and operated based on the Serendipity-Mindsponge-3D knowledge (SM3D) management framework (i.e., mindsponge thinking and Bayesian Mindsponge Framework analytics serve as the coaching program's foundational theory and analytical tools). The coaching method also embraces Open Science's values for lowering the cost of doing science and encouraging the trainees to be transparent, which is expected to facilitate the self-correcting mechanism of science through open data, open review, and open dialogue. Throughout the training process, members are central beneficiaries by gaining research knowledge and skills, acquiring publication as the training's product, and shifting their mindsets from “I can't do it” to “I can do it,” and at the same time transforming a mentee to be ready for a future mentor's role. The coaching method is thus one of the members, for the member, by the members. • The paper provides the structure, operation method, and conceptual framework of the SM3D Portal's community coaching method, which is built to help Early Career Researchers (ECRs) and researchers in low-resource settings overcome the obstacle of inequality and start their career progress. • The paper presents three major science philosophies envisioning the establishment and operation of scholarly community coaching. • The paper employs the mindsponge theory and BMF analytics to construct a conceptual framework explaining how an environment is created to help shift members’ mindsets from “I can't do it” to “I can do it.”

Modern society faces major environmental problems, but there are many difficulties in studying the nature–human relationship from an integral psychosocial perspective. We propose the ecomind sponge conceptual framework, based on the mindsponge theory of information processing. We present a systematic method to examine the nature–human relationship with conceptual frameworks of system boundaries, selective exchange, and adaptive optimization. The theoretical mechanisms were constructed based on principles and new evidence in natural sciences. The core mechanism of ecomindsponge is the subjective sphere of influence, which is the limited mental representation of information received from and processed based on the objective sphere of influence–actual interactions in reality. The subjective sphere is the sum of two sub-spheres: influencing (proactive) and being influenced (reactive). Maladaptation in thinking and behavior of the mind as an information collection-cum-processor results from the deviation of the subjective sphere from reality, which includes two main types: “stupidity” and “delusion”. Using Bayesian Mindsponge Framework (BMF) analytics on a dataset of 535 urban residents, we provide consistent statistical evidence on the proposed properties of subjective spheres. The dynamic framework of ecomindsponge can be used flexibly and practically for environmental research as well as other psychosocial fields.

Patients with serious illnesses or injuries may decide to quit their medical treatment if they think paying the fees will put their families into destitution. Without treatment, it is likely that fatal outcomes will soon follow. We call this phenomenon “near-suicide”. This study attempted to explore this phenomenon by examining how the seriousness of the patient’s illness or injury and the subjective evaluation of the patient’s and family’s financial situation after paying treatment fees affect the final decision on the treatment process. Bayesian Mindsponge Framework (BMF) analytics were employed to analyze a dataset of 1042 Vietnamese patients. We found that the more serious the illnesses or injuries of patients were, the more likely they were to choose to quit treatment if they perceived that paying the treatment fees heavily affected their families’ financial status. Particularly, only one in four patients with the most serious health issues who thought that continuing the treatment would push themselves and their families into destitution would decide to continue the treatment. Considering the information-filtering mechanism using subjective cost–benefit judgments, these patients likely chose the financial well-being and future of their family members over their individual suffering and inevitable death. Our study also demonstrates that mindsponge-based reasoning and BMF analytics can be effective in designing and processing health data for studying extreme psychosocial phenomena. Moreover, we suggest that policymakers implement and adjust their policies (e.g., health insurance) following scientific evidence to mitigate patients’ likelihood of making “near-suicide” decisions and improve social equality in the healthcare system.

The caution of diagnosing someone with Suicide Behavior Disorder derives from the fact that in some scenarios, suicide can still be deemed a “rational” choice and expression of free will rather than a disease. For example, euthanasia, suicide attacks, people with mental illness but being able to take into account the weight of the illness, etc. There exists a blurry line between the considerations of suicide as a choice or an illness. Perhaps, whether it is an illness or a choice is largely dependent on the context and targeted subject. It is not hard to see whether (or when) this very delimitation works is very much cultural by its nature.

Precognition is an anomaly in information transmission and interpretation. Extant literature suggests that paranormal beliefs and gender may have significant influences on this unknown information process. This study examines the effects of these two factors, including their interactions, on precognition performance by employing the Bayesian Mindsponge Framework (BMF) analytics. Using Bayesian analysis on secondary data of 60 participants, we found that men may have higher chances to score a hit in a precognition task compared to women. Interestingly, stronger beliefs in the paranormal may decrease the success probability in performing precognition tasks. Considering the interactions between the two factors, the effect of paranormal beliefs on precognition task performance is stronger in men than women. Using mindsponge-based reasoning, we argue that paranormal beliefs may increase the interference of imagination in the reception of hypothetical precognitive information. Women tend to rely more on intuition, which may lessen the interference effect of imagination on hypothetical psi reception. Based on the findings, we suggest that researchers should be careful when assessing participants’ psi potential for experiments. We also demonstrate some advantages of utilizing the BMF in parapsychological research.

Products made from animal fur and skin have been a major part of human civilization. However, in modern society, the unsustainable consumption of these products – often considered luxury goods – has many negative environmental impacts. This study explores how people’s perceptions of biodiversity affect their attitudes and behaviors toward consumption. To investigate the information process deeper, we add the moderation of beliefs about biodiversity loss. Following the Bayesian Mindsponge Framework (BMF) analytics, we use mindsponge-based reasoning for constructing conceptual models and employ Bayesian analysis aided by Markov Chain Monte Carlo (MCMC) algorithms on a dataset of 535 Vietnamese urban residents. The results show that people’s preference for using products made from animal skin/fur is negatively associated with perceived consequences of biodiversity loss when they believe biodiversity loss is real and a major problem. In contrast, if urban residents believe biodiversity loss is unreal or not a significant issue, the association between perceived consequences of biodiversity loss and personal preference happens in the opposite direction. The same effects of biodiversity loss perception on people’s possession of skin/fur products was not found, indicating a more complex information process on behaviors compared to attitudes. Nevertheless, in the scenario that people believe biodiversity loss is not a significant issue, the higher the perceived consequences of biodiversity loss are, the greater number of animal-based products they likely own. Our results suggest that policymakers should not neglect the factor of personal belief besides knowledge and awareness in environmental campaigns.

Animal-human interactions (specifically pet ownership) have positive and negative sides depending on the context and people’s mindsets. Owning a pet is like exposing oneself to information related to animals. If people perceive the benefits of such information (e.g., dog walking and pet play), they are more likely to acknowledge and receive the benefits brought by pets. Otherwise, they will likely feel uncomfortable and perceive being with a pet as costly (e.g., dirtiness, noise). Notably, studies about the effects of pet ownership are mostly conducted in Western countries, where people generally have good impressions of pets. In some Asian cultures, pets are often stigmatized as unsanitary, so the positive effects of pets found in Western countries might not apply to other cultures.

In the 2022 updated database of global science-wide top scientists, one of the founders of SM3D Portal – Dr. Quan-Hoang Vuong – appears in the list of career-long impact (ranked at 240,933th) and single-year impact (ranked at 22,704th). Last year, he also appeared in the 2021 lists of top-career-long-impact scientists (ranked at 294,101th) and top-single-year-impact scientists (ranked at 46,350th). If we only consider the career-long and single-year impacts within the fields of Social Sciences and Humanities, he is ranked at 12,703th and 2,989th, respectively.

Human societies and civilizations have been built on countless innovations, and the role of creativity is indispensable in generating such innovations. Therefore, creativity training is the top priority of many organizations and institutions. Two researchers from Ohio State University, Angus Fletcher and Mike Benveniste, have recently proposed a new method for training creativity. The training method is based on the narrative theory, which focuses on the narrative, its structure, and how these can generate cause-and-effect in human minds.

Researchers have conducted many studies to directly explore factors that can enhance these cognitions. As a result, low ego is discovered as one of such factors. The experiment of Kross and Grossman found that ego-decentering thinking could enhance wise reasoning (dialecticism and intellectual humility), attitudes (cooperation-related attitude assimilation), and behaviors (willingness to join a bipartisan group). Ego-decentering thinking is the reasoning process using an observer perspective rather than the ego-centric perspective. The enhancing impacts of ego-decentering thinking on wisdom were later confirmed to be generalized across younger and older adults. This insightful “tip” is helpful not only for us in our daily life but also for the collective human as a whole. Many global issues that we are facing right now need smart thinking to be solved, like climate change and biodiversity loss. Therefore, it is time for us to rethink our human-centric mindset and adopt new core values that consider humans just a part of natural systems

It is clear that invasive species do have their invasion boundaries, and the boundaries are constrained by the differences between their home and alien ecosystems. However, such constraints are weakened for some particular species due to their strong adaptability. From the information-processing perspective, species, as information-processing systems, are more likely to invade the habitats (infosphere) with features compatible with their systems. Low compatibility results in poor information exchange with the new infosphere, leading to the malfunction and eventual cessation of the system. Suppose the system has a large range of compatibility (strong adaptability) to maintain its information exchange with the new infosphere. In that case, it can persist, adapt, and eventually become invasive to the new infosphere, completely different from the native one.

Do high-impact-factor journals have better peer review quality than low-impact-factor journals? Attempting to shed light on the relationship between the journal impact factor and quality, a group of researchers, led by Anna Severin (University of Bern), have recently examined 10,000 peer review reports submitted to 1,644 medical and life sciences journals. They use artificial intelligence to analyze two measures proxying the peer review quality: thoroughness and helpfulness. While sentences covering topic categories, materials and techniques, presentation and reporting, outcomes and discussion, importance and relevance are employed to gauge thoroughness, sentences that provide recommendations and solutions, examples, praise, or criticism are used to estimate helpfulness.

Given the higher advantages attributed to larger mitigation scenarios, expecting better natural conservation outcomes and economic returns from national- and global-scale impact mitigation mechanisms seems reasonable. However, such scenarios can hardly happen if the current eco-deficit cultures remain prevailing. If we can build eco-surplus mindsets among a majority of populations on Earth, especially private sectors, not only impact mitigation mechanisms at a global scale but also the semi-conducting principle of monetary and environmental values exchange will be successfully adopted and implemented.

Recently, a group of researchers, led by Daniel J. Ingram (University of Stirling), has conducted a critical review of the literature and experts’ evaluations of the on-the-ground progress to gauge the progress toward 11 recommended research needs and actions in approximately the last two decades. According to the review, most areas of wild meat research and management showed limited progress toward sustainability. The most progressive aspect is understanding the drivers behind hunting and the demand for wild meat.

The higher number of species on Earth is equivalent to the higher number of possibilities humans can take inspiration from for innovations. Many technological innovations have been successfully generated based on inspirations from wildlife species, such as parasitic wasp-inspired needles, gecko-inspired surgical glue, peacock-inspired biosensors, fiddler crab-inspired artificial vision system, etc. Or, why don’t you imagine what human societies would have been without Penicillin if Alexander Fleming had not observed the Petri dishes containing Staphylococcus bacteria and noticed something strange. Therefore, it is argued that conserving biodiversity sustains our livelihood and contributes to advancing human civilizations.