How do you determine the winner of the Shining Moments Writing Contest?
The post with the greatest number of likes at 1 pm PST on Monday, April 15, 2021. We will post a leaderboard on the Shining Moments main page starting March.
You’re more than welcomed to “like” your own entry and invite your friends to do so. (But you won’t be able to vote repeatedly for yourself. Our system is set up to prevent cheating though.) We believe everyone who participates will experience the uplifting power of words and not only inspire others but enrich their own lives too.
Caitlyn Wang is an international business leader based in California who has worked and parented in the US and Asia and is intimately familiar with each region’s psychoeducational resources. At Johns Hopkins University, Caitlyn’s work with twice-gifted children gave her an intimate look at how these challenges affect families and their wellness, but it’s her first-hand struggles parenting a mod-to-severe autistic child that motivated her to seek a root-cause solution for families like hers. For over 20 years, she has led marketing, product development, and supply chain in the audio/video industry with teams in China, Taiwan, and the US to bring products from concept to market for companies like Harman, Acer, and Amazon.
Caitlyn Wang’s wonderful article, besides managing to alleviate my anxiety about not taking enough AP courses, also brought up another thought in mind. In her article, there was this quote “Nothing is more fragile than a child who only knows how to chase accolades. Let’s help them learn who they are when the trophies are…
Cyberbullying, defined as willful and repeated harm inflicted through digital means, continues to rise in prevalence and severity, particularly among youth populations, who are exposed to social media at starting at young ages. The mental health consequences of cyberbullying—including anxiety, depression, and suicidal ideation—are well-documented (NIH, 2023). As a result, researchers have increasingly turned to…
In the rapidly evolving world of AI, data is king—but what happens when the data we rely on is synthetic? While data augmentation offers a promising solution to the challenges of collecting real-world examples, it comes with hidden dangers. From the risk of model collapse to the inability to capture the nuances of human language,…