This report provides a detailed analysis of ArtSciLab’s social media performance and audience engagement from February 2024 to May 2024. The sole purpose of this report is to understand the dynamics of our audience interactions and develop strategies to enhance our digital presence and engagement.
Analysis Importance
Audience Insight: Gaining more profound insights into the demographics and behavior of our audience across platforms like Instagram and LinkedIn helps tailor our content more effectively.
Strategic Decisions: Data-driven insights allow us to make informed decisions about when and what to post, ensuring maximum engagement.
Global Reach: Analyzing engagement from different countries aids in planning our international outreach, particularly as we expand our content into multilingual formats.
Report Objective
Track Growth: This helps us evaluate the growth in followers and interactions over the selected period.
Identify Patterns: Useful in analyzing patterns in audience activity, including peak times for engagement and demographic shifts.
Future Planning: We can use insights from the data to plan future social media strategies, particularly focusing on increasing engagement and expanding our international audience.
Strategy Success: It helps us identify whether our strategies are a successful implementation or if we need to make adjustments to our strategy; if yes, then how?
Nikhil Chaturvedi is pursuing his Master’s in Marketing at the University of Texas at Dallas. Specializing in brand strategy, research, and high-impact campaigns, he combines academic insights with practical experience. Nikhil is also committed to community service, focusing on aid for underprivileged communities.
In this project, I built a platform designed to help people interact with others worldwide, but with the look and feel of being in the same room without language barriers in the Metaverse.
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Overview
With Social Connection Interspace (SCI), my groundbreaking platform powered by Virtual Reality (VR) and Large Language Models (LLMs), communication transcends borders and cultures, fostering real-time connection and understanding. The SCI virtual environment redefines collaboration and engagement. By harnessing the power of Mixed Reality, Artificial Intelligence, Blockchain, and Big Data, it creates a seamless experience where people can connect, share ideas, and reach consensus.
SCI is more than just a Metaverse platform, it is also a doorway to evolve the engagement ecosystem. This paper will share what I discovered and what is needed when building a Metaverse platform, including AI, hand tracking, and consideration of authenticity, how I prototyped all these elements to develop into one project, and how SCI can benefit users and future researchers moving forward.
Introduction
When building connections, would you rather do so in person or virtually? Most people receive greater benefits when interacting with others in the same physical place where they can make stronger connections than when meeting through a screen. Virtual meetings could make it more difficult to understand one another because people can only look at the upper part of their bodies and lack context and body language.
In larger forums, virtual meetings can also be constricting in that they only allow one person to talk at a time, prohibit side conversations, and put the speaker under a spotlight, which can be daunting to some and prevent them from participating in the meeting. Some of the advantages of my project include seeing an individual’s full characteristics within their environment in the meeting and having more convenient ways to brainstorm about a subject such as sharing a whiteboard.
According to the article, In Person vs Virtual Conference,
Responding or asking questions virtually is more impersonal and there may be less engagement between speaker and audience. With recorded sessions, the attendee cannot participate in real-time answer and question sessions.
Benjamin Wu is a multi-talented game developer and animator who seeks innovation within the field. Completing his Bachelor of Science from Abilene Christian University he gained the knowledge and skills to work on projects within the field of digital entertainment technology.
Learning about the evolution of technology, inspired Wu that digital entertainment technology could be more than animation and game development. This led him to get his Master of Fine Arts from The University of Texas at Dallas, to learn more about the field and understand how to use it for inspiration and innovation moving forward.
At the end of this review, you will find my review of Dehaene’s 2020 book “How We Learn: The New Science of Education and the Brain”— written and published last year.
I finished reading Dehaene’s book “How We Learn: The New Science of Education and the Brain” this morning. Dehaene’s book “How We Learn: The New Science of Education and the Brain”. And kept realizing I had read the book before and had scribbled notes in the margin for me to focus on to write a review.
I am 73 years old and it seems to me that learning and forgetting evolve with experience. My work with Thom Kubli on “disremembering’ somehow connects. So, I did an online search on the science of forgetting and found:
“Instead, forgetting generates a novel brain state that’s different from either the one before the learning happened or the one that exists while the learned behavior is still remembered. In other words, what is forgotten doesn’t completely go away and can be reactivated with a kind of jump start.”
“After forgetting, we can often be reminded of what we learned before, and our brain is no longer in the naive state,” said Yun Zhang, professor of organismic and evolutionary biology and member of Harvard’s Center for Brain Science.”
Perhaps we need to focus more time on the sciences of forgetting, not just of learning in schools (apparently Yun Zhang has found there is an in-between state between remembering and forgetting).
So let me refocus on a review of Stanislas Dehaene’s 2020 book “How We Learn: Why Brains Learn Better Than Any Machine for Now.” Don’t bother reading the last chapter on why brains learn better than any machine for now. It’s now 2024 and that chapter needs serious updating.
The first note that I wrote is “8 billion humans” next to the statement “our DNA contains six billion bits” which gets into the endless speculation about collective consciousness etc… The second is that we don’t understand why learning is widespread in the animal world; even fruit flies and earthworms “learn”.
Yeah- natural selection favored the emergence of learning so what? The book does re-emphasize that the use of ‘grades’ in teaching can be counterproductive to learning for most people. Dehaene first definition of learning: to learn is to form an internal model of the external world. As I make this list, inevitably I think of the art of “noticing’; many pages went by, and I noticed nothing.
Page 30: children hear between 500 and 1000 hours of speech per year. P38 Shared attention: a child can learn by following the mother’s gaze or finger. P80 I couldn’t interpret my note after several re-readings. P128 Alan Turing was wrong: the brain is not a blank slate.
None of the color illustrations got my attention. Why not?
P169 Cultural Ratchet: Sharing attention with others. Social sharing prevents a culture from regressing. (what I have been calling “leaving a trace’ where each member of the lab must document their work for the attention of others). P189 Mirth seems to be one of those uniquely human emotions that guide our learning.
P 203 Rescorla-Wagner theory: The key idea is that the first acquisition of a first association, blocks the second one. (If A is connected to B, then C, C becomes superfluous). P207: I prefer to eat with a fork and a camel…. generates an error signal that makes you forget. P214 Test Thyself to move memories to long-term memory. P 218 What is the most effective time interval between two repetitions of the same lesson? Doesn’t matter as long as deep sleep intervenes.
P 229 to be shared with Eric Fulbright: once you enter deep sleep, we spray your bedroom with the same fragrance that was in your classroom. This helps memory consolidation. P233 Disremembering 101: Galileo never dropped two spheres of different weights from the Tower of Pisa. He just imagined it.
P235 Delaying the start of school by 30 minutes leads to improved grades. P237 Reconciling Education with Neuroscience: this is my take-home message- let’s close down all schools and universities and re-invent learning contexts given recent brain science. P240 Expose children to at least a second language as soon as possible.
P44 Parent training should be a priority – a huge problem in education is the lack of training of parents given contemporary neurosciences. P311 the word “forgetting’ does not appear in the Index. Learning to forget is a form of misremembering.
As a parent and now a grandparent I recommend this book twice (even though the second recommendation you will forget). I hope you find my Hopscotsch notes… oops check them out.
Roger F. Malina is a space scientist and astronomer, with a specialty in extreme and ultraviolet astronomy, space instrumentation, and optics. He served as director of the Observatoire Astronomique de Marseille Provence and was NASA’s Principal Investigator for the Extreme Ultraviolet Satellite project at the University of California, Berkeley.
He is also a publisher and editor in the new emerging research fields that connect the sciences and engineering to the arts, design, and humanities. Since 1982, he has served as Executive Editor of the Leonardo Publications at MIT Press. He founded and serves on the board of two nonprofits, ISAST in San Francisco and OLATS in Paris, which advocate and document the work of artists involved in contemporary science and technology.
He is currently a Distinguished Professor of Art and Technology and Professor of Physics, at the University of Texas at Dallas and Directeur de Recherche for the CNRS in France. He serves as the Associate Director of ATEC and founded the ArtSciLab in the ATEC program fall of 2013.
