Understanding economic and health factors impacting the spread of COVID-19 disease
15 February 2022
Aiming at bringing more light on key economic and population health factors affecting the disease spread, this initial study utilizes a quantitative statistical analysis based on the most recent publicly available COVID-19 datasets.
Background
The rapid spread of the Coronavirus 2019 disease (COVID-19) had drastically impacted life all over the world. While some economies are actively recovering from this pestilence, others are experiencing fast and consistent disease spread, compelling governments to impose social distancing measures that have put a halt on routines, especially in densely populated areas.
Objective
Aiming at bringing more light on key economic and population health factors affecting the disease spread, this initial study utilizes a quantitative statistical analysis based on the most recent publicly available COVID-19 datasets.
Methods
We have applied Pearson Correlation Analysis and Clustering Analysis (X-Means Clustering) techniques on the data obtained by combining multiple datasets related to country economics, medical system & health, and COVID-19 - related statistics. The resulting dataset consisted of COVID-19 Case and Mortality Rates, Economic Statistics, and Population Public Health Statistics for 165 countries reported between 22 January 2020 and 28 March 2020. The correlation analysis was conducted with the significance level α of 0.05. The clustering analysis was guided by the value of Bayesian Information Criterion (BIC) with the bin value b = 1.0 and the cutoff factor c = 0.5, and have provided a stable split into four country-level clusters.
Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling
10 February 2022
Human personality traits are the key drivers behind our decision-making, influencing our life path on a daily basis. Inference of personality traits, such as Myers-Briggs Personality Type, as well as an understanding of dependencies between personality traits and users' behavior on various social media platforms is of crucial importance to modern research and industry applications. The emergence of diverse and cross-purpose social media avenues makes it possible to perform user personality profiling automatically and efficiently based on data represented across multiple data modalities. However, the research efforts on personality profiling from multi-source multi-modal social media data are relatively sparse, and the level of impact of different social network data on machine learning performance has yet to be comprehensively evaluated.
SoMin.ai: Personality-Driven Content Generation Platform
10 February 2022
In this technical demonstration, we showcase the World's first personality-driven marketing content generation platform, called SoMin. ai. The platform combines deep multi-view personality profiling framework and style generative adversarial networks facilitating the automatic creation of content that appeals to different human personality types. The platform can be used for enhancement of the social networking user experience as well as for content marketing routines. Guided by the MBTI personality type, automatically derived from a user social network content, SoMin. ai generates new social media content based on the preferences of other users with a similar personality type aiming at enhancing the user experience on social networking venues as well diversifying the efforts of marketers when crafting new content for digital marketing campaigns.
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16 Tech Experts Predict ‘Table Stakes’ UX Trends Coming In The Next Five Years
02 March 2023
As technology continues to evolve and become more integrated into our daily lives—and as the internet and social media have opened up new ways for consumers to publicly voice their opinions on products—the user experience has become a critical factor in the success of any tech product. Companies are now focusing on providing seamless and intuitive experiences that cater to their users’ needs and preferences.
This growing emphasis on UX has led to new trends expected to become table stakes in the next five years. Below, 16 Forbes Technology Council members explore some of the upcoming UX trends that will be crucial for the success of tech products and why they will be so important.
15 Costly Mistakes To Avoid When Developing Wearable Tech
28 February 2023
The growth of wearable technology has resulted in an increase in the development of wearable apps. However, developing a wearable app can be a costly undertaking. A wrong turn in development can lead to a subpar user experience, potentially dooming your app before it even gets off the ground.
Here are the all-too-common mistakes that members of Forbes Technology Council urge steering clear of, so leaders can keep their projects on budget and headed for success.
13 Tech Industry Leaders Discuss Their Top Internal Initiatives For 2023
07 December 2022
For companies that develop and deliver technology products and services, the primary focus each day is on customers. Leaders spend much of their time talking about new solutions and enhancements to make their product or service the top choice in the marketplace. But if a tech company—or any company that leverages technology—is to truly succeed, the focus can’t just be outward. Tech leaders must also concentrate on internal initiatives to improve productivity, efficiency, costs and the work experience of their team members.
From better leveraging Agile principles to adding new time-saving tools to bringing some fun and creativity back to the workplace, the members of Forbes Technology Council are never short on ideas for improving their tech processes. Below, 13 of them discuss the internal tech initiatives they’ll be introducing or focusing on in 2023, and why they’re important.