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Dr. George Dagliyan Examines Artificial Intelligence Adoption and Enterprise Systems Innovation
LOS ANGELES, CA
Dr. George Dagliyan is a researcher and entrepreneur whose work examines the evolving relationship between artificial intelligence, enterprise systems, and organizational strategy. Through a multidisciplinary approach that integrates academic research, applied innovation, and cultural engagement, Dr. Dagliyan’s professional focus centers on how consumers and modern institutions evaluate technological change and develop the capabilities to implement it effectively.

In recent years, advances in artificial intelligence and digital infrastructure have accelerated transformation across industries worldwide. Organizations increasingly rely on data-driven technologies and intelligent systems to guide decision-making, improve operational performance, and support long-term planning. As AI-enabled technologies become more integrated into business environments, researchers and innovators continue to study not only what these systems can do, but also why adoption succeeds in some settings and stalls in others.
Dr. Dagliyan’s work addresses these challenges by exploring the intersection of artificial intelligence adoption, enterprise systems innovation, and institutional strategy. His research and professional initiatives reflect a broader interest in how emerging technologies influence organizational structure, behavior, governance, and long-term development.
“Artificial intelligence adoption is not simply a technological decision,” Dr. Dagliyan explains. “It is shaped by trust, institutional readiness, governance, and the ability of organizations to integrate innovation responsibly.”
Education and Academic Background
Dr. George Dagliyan’s academic work reflects a strong commitment to research related to information systems, innovation, and organizational strategy. His studies focused on business administration and the role technology plays in shaping modern institutions.
Within this academic framework, Dr. Dagliyan examined how emerging technologies influence organizational decision-making and operational development. His research emphasized that successful innovation depends on more than technical capability; it also depends on trust, institutional readiness, leadership alignment, and the organizational conditions that shape how technology is evaluated and implemented.
His doctoral research explored the adoption and diffusion of artificial intelligence technologies across organizational and consumer contexts. Artificial intelligence is now one of the most influential technological developments of the modern era, impacting industries ranging from healthcare and transportation to finance, digital services, and global communications. Understanding how individuals and organizations adopt these systems has therefore become a critical area of academic inquiry.
Dr. Dagliyan’s research examined how perceived benefits and perceived risks shape adoption decisions, including the role of trust in institutions and technology providers. His work also explored how organizational structures, governance, and decision frameworks can either enable or inhibit innovation, highlighting why the same technology may be adopted successfully by some consumers while facing resistance in others.
His research was presented to the information systems academic community and received recognition at the Americas Conference on Information Systems (AMCIS). AMCIS is widely regarded as a leading international forum for scholarship on information systems, digital transformation, and technology innovation. This recognition reflects Dr. Dagliyan’s active involvement in ongoing research discussions shaping the future of enterprise technology and organizational adaptation.
Professional Focus on Artificial Intelligence Adoption
Artificial intelligence technologies have rapidly evolved from experimental systems into practical tools that influence everyday organizational operations. Businesses now use artificial intelligence to analyze data, automate processes, support decision-making, and improve operational visibility across sectors.
Despite these expanding capabilities, organizations often face significant challenges when integrating artificial intelligence into existing systems. Technical performance alone does not guarantee adoption. Many institutions must address questions of reliability, transparency, governance, brand reputation, and user trust while aligning AI initiatives with operational realities and strategic priorities.
Dr. Dagliyan’s research explores how institutions navigate these adoption challenges and how consumers evaluate the benefits and risks associated with emerging technologies. His work identifies a set of adoption drivers and barriers that often operate at the same time, meaning people do not simply weigh “pros versus cons,” but frequently accept the benefits of AI-enabled technology while managing its perceived drawbacks.
On the benefits side, Dr. Dagliyan highlights three key facilitators that strengthen intention to adopt AI-enabled technologies: convenience, customization, and efficiency. Convenience reflects the reduction of time and effort required to accomplish tasks, and it also captures the cognitive, emotional, and physical burden that users associate with learning and using new technology. Customization reflects the value of experiences and services tailored to the individual, including AI-driven personalization that can deliver “mass customization” at scale. Efficiency captures perceptions that AI-enabled systems can improve performance, reduce friction, and deliver faster or more accurate outcomes, especially in environments where human time, attention, and error rates are limiting factors.
At the same time, Dr. Dagliyan emphasizes three inhibitors to adoption: uncertainty, privacy risk, and loss of control. Uncertainty emerges when users cannot clearly predict how an AI-enabled system will behave or what outcomes it will produce, often heightened by “black box” complexity that is difficult for non-experts to interpret. Privacy risk reflects concerns that AI-enabled services may require sensitive personal information, such as location, behaviors, preferences, and even medical data, to deliver value, creating hesitation even when benefits are clear. Loss of control reflects the discomfort users feel when decisions and actions shift from human choice to machine autonomy, especially in high-stakes contexts where AI may recommend, decide, or act with limited user oversight.
Importantly, Dr. Dagliyan’s work shows that these inhibitors not only reduce adoption directly but also weaken perceived benefits. In other words, uncertainty, privacy concerns, and perceived loss of control can reduce perceived convenience, customization, and efficiency, shaping how people interpret the value of AI-enabled technologies overall.
Finally, Dr. Dagliyan’s research underscores the central role of trust, particularly brand trust, in adoption outcomes. Brand trust includes perceptions of reliability, the belief that a provider will deliver promised value consistently, and benevolence, the belief that the provider has good intentions, goodwill, and will act responsibly toward users. This form of trust can exist even before a consumer’s first interaction with a novel AI-enabled technology, and it influences adoption by strengthening perceived facilitators while reducing perceived inhibitors. In practice, this means brand reputation and trust-building signals can materially shape whether AI feels like a strategic advantage or an unacceptable risk.
He notes that innovation must be supported by institutional readiness and strategic planning. Technology alone does not drive transformation. Sustainable adoption requires organizations to build the structures, decision frameworks, and leadership alignment needed to integrate new systems into everyday operations, while proactively addressing the trust, privacy, transparency, and control expectations that determine whether AI-enabled technologies will be accepted and used.
Enterprise Systems and Organizational Strategy
In addition to his work on artificial intelligence adoption, Dr. Dagliyan has explored the development of enterprise systems designed to support organizational strategy and decision-making. Enterprise systems provide the infrastructure through which organizations manage data, coordinate operations, and monitor performance. As digital technologies evolve, these systems have become essential for maintaining operational clarity, accountability, and strategic direction.
Dr. Dagliyan’s work examines how enterprise frameworks can incorporate advanced analytics, data monitoring systems, and machine learning capabilities that help organizations understand complex operational environments. Through these capabilities, enterprise systems can identify patterns in large datasets, surface risks, detect inefficiencies, and strengthen strategic planning.
However, Dr. Dagliyan emphasizes that enterprise systems should enhance human leadership rather than replace it. While automated systems can process vast amounts of information, effective decision-making still requires human judgment, experience, and context. Enterprise systems, therefore, function as tools that strengthen organizational awareness and support leadership in navigating complex environments.
Cultural Engagement and Support for the Arts
Although much of Dr. Dagliyan’s work focuses on technology and organizational systems, he also maintains a strong interest in cultural initiatives and artistic engagement. Art has historically served as a powerful means of exploring ideas, expressing cultural identity, and encouraging dialogue across communities. By supporting artistic initiatives and collaborating with creative communities, Dr. Dagliyan contributes to environments where innovation and creative expression intersect.
His involvement in cultural initiatives includes participation in artistic collaborations and exhibitions that promote international cultural exchange and creative dialogue. For Dr. Dagliyan, the relationship between art and innovation reflects a shared commitment to curiosity, experimentation, and exploration. Both artists and innovators imagine possibilities beyond existing frameworks, challenge established assumptions, and encourage new ways of thinking about the future.
Looking Toward the Future
As artificial intelligence and digital technologies continue to influence industries around the world, organizations face new opportunities as well as new challenges. Technological innovation will increasingly shape how institutions operate, how leaders make decisions, and how organizations adapt to rapidly evolving environments.
At the same time, Dr. Dagliyan notes that regulation and governance frameworks are increasingly critical and often lag behind the pace of AI advancements. When policy, standards, and oversight cannot keep pace with rapid innovation, uncertainty grows for organizations and end users alike. This gap can intensify concerns around privacy, accountability, transparency, and control, creating adoption friction even when AI solutions offer clear operational value. In this context, thoughtful regulation and industry standards can function as adoption enablers by reducing uncertainty, reinforcing trust, and establishing consistent expectations for responsible AI deployment.
Dr. Dagliyan’s work reflects an ongoing commitment to understanding these changes and examining how enterprise systems, strategic leadership, and emerging technologies interact within modern organizations. By studying both the technological and institutional dimensions of adoption, his research contributes to broader discussions about digital transformation, governance, and organizational development in the AI era.
About Dr. George Dagliyan
Dr. George Dagliyan is a researcher and entrepreneur whose work focuses on artificial intelligence adoption, enterprise systems innovation, and organizational strategy. His research examines how emerging technologies are evaluated and integrated across institutional and consumer environments, while his professional initiatives explore enterprise frameworks designed to support strategic decision-making, performance visibility, and organizational resilience. In addition to his work in technology and research, Dr. Dagliyan supports cultural initiatives that promote artistic collaboration and global dialogue.
Media Contact
Media Relations
Office of Dr. George Dagliyan
Los Angeles, California
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Nonprofit Organization, Citizens Academy US, Makes Official Public Release of Guide to Complete Understanding of the Preamble to the U.S. Constitution
Washington, DCCitizens Academy U.S., a nonprofit dedicated to helping Americans understand the U.S. Constitution’s Preamble, has officially released The Guide to Complete Understanding of the Preamble to the United States Constitution in celebration of Constitution Day, September 17. The organization is hosting a free online event, “The Day ‘We the People’ Appeared,” on September 13, 2026, […]
Washington, DC
Citizens Academy U.S., a nonprofit dedicated to helping Americans understand the U.S. Constitution’s Preamble, has officially released The Guide to Complete Understanding of the Preamble to the United States Constitution in celebration of Constitution Day, September 17. The organization is hosting a free online event, “The Day ‘We the People’ Appeared,” on September 13, 2026, exploring the Preamble and its six purposes.
The Preamble Guide Simplifies Understanding of the Six Purposes of the U.S. Constitution
In celebration of Constitution Day, September 17th, the Citizens Academy U.S., a nonprofit organization with the goal to help hundreds of millions of Americans understand the Preamble to the U.S. Constitution, just made their official public release of The Guide to Complete Understanding of the Preamble to the United States Constitution.

As noted on their website, the Preamble lays out all six purposes of the U.S. Constitution, and they are working to restore clarity and shared understanding of the Preamble and thus these six purposes. They do not explain or interpret what it means, they provide an enjoyable and easy way to completely understand it, so people can make up their own mind as to what it means.
Constitution Day is celebrated annually across the U.S. every September 17th as it is the day when 39 delegates signed the United States Constitution at Independence Hall in Philadelphia in 1787. In addition to the official release of their Guide, Citizens Academy US is hosting a free online event on Sunday, September 13, 2026, at 11am PT/2pm ET, entitled, The Day “We the People” Appeared. The event is expected to run for 1.5 hours and is open to free public registration at this link.
Academy officials have observed that many Americans who have attempted to read the Constitution have difficulty in understanding it. They attribute this to the fact that languages change over time, and many words do not mean what they meant when the Constitution was drafted. “Definitions from the late 1700s vary drastically from today’s definitions,” said Academy spokesperson Steven Ferry, “and it is vitally important that the Constitution is read with reference to the original definitions in use at the time it was written.”
To help people overcome this challenge, Citizens Academy US provides definitions in their Guide based on those from Noah Webster’s 1828 American Dictionary of the English Language. This early dictionary reveals what the words meant to the Founders and the people at the time the Constitution was written.
As an example, the definition of “welfare” in the Guide, based on Webster’s 1828 dictionary is: “the enjoyment of peace and prosperity, and other benefits of society, such as protection of rights, public safety, justice, and liberty.” Today’s Oxford Learner’s Dictionary includes an additional definition which people often refer to: “practical or financial help that is provided, often by the government, for people or animals that need it.”
Academy officials have also observed that when the Preamble is read with the original definitions in mind, understanding the six purposes of the Constitution becomes simple and the results are profound. The principle that forms the basis of the Guide is a quote by best-selling author L. Ron Hubbard, who wrote, “Complete understanding depends upon freedom from misunderstood words.”
By visiting the Citizens Academy US website, you can view the Guide and download it for free or purchase the hardcover or softcover in their bookstore.

In honor of Constitution Day, Citizens Academy US is hosting a free online event, titled “The Day ‘We the People’ Appeared” on September 13, 2026, at 11am PT/2pm ET
The Citizens Academy US is a fully IRS recognized 501 (c)(3) charitable organization with the mission to bring about a greater understanding in America. The goal of the Citizens Academy US is to have 100’s of millions of Americans understand the first sentence of the United States Constitution, which is called the Preamble. The Preamble contains the six purposes of the Constitution and understanding the Preamble enables Americans to grasp what the Constitution is meant to achieve.
For more information about Citizens Academy US, please visit: www.CitizensAcademy.us
Media Contact Details
Steven Ferry
Citizens Academy US
Email: Send Email
Phone: 727-492-4082
Website: citizensacademy.us
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Ángela Rodríguez Expands REFLEJO™ Method and Inclusive Beauty Education Initiatives
NEW YORK, USAAuthor, Beauty Educator, and founder of Divina Makeup advances international education, accessibility, and community-focused programs centered on makeup, autonomy, and women’s empowerment.
Author, Beauty Educator, and founder of Divina Makeup advances international education, accessibility, and community-focused programs centered on makeup, autonomy, and women’s empowerment.
NEW YORK, USA
Colombian-born author, Beauty Educator, and entrepreneur Ángela Rodríguez is expanding her work around the REFLEJO™ Method, an educational self-makeup methodology designed to help women better understand their individual features, needs, and personal approach to beauty.

Ángela, founder of Divina Makeup and author of Maquíllate en 6 Pasos (Make Yourself Up in 6 Steps), is developing the next stage of her educational platform through an updated edition of her book, digital learning resources, accessibility initiatives, international outreach, and community programs focused on women’s confidence, autonomy, and inclusion.
At the center of the initiative is the REFLEJO™ Method, which is based on the principle that every woman is unique and should learn to understand her own face rather than simply reproduce makeup techniques created for someone else.
For Ángela, makeup education extends beyond teaching the application of foundation, concealer, or eyeshadow. Her approach focuses on providing women with practical knowledge that can help them make informed decisions about their appearance while developing greater confidence in their own skills.
“True transformation begins when a woman learns to see herself differently,” Ángela said.
Expanding the REFLEJO™ Method
Ángela is currently developing a new edition of Maquíllate en 6 Pasos that will incorporate the REFLEJO™ Method and expand the educational resources available to readers.
The new edition is planned to include QR codes connecting readers with complementary audiovisual learning materials. The project is also being developed with accessibility resources intended to make makeup education more inclusive for people with hearing disabilities, including sign language interpretation and subtitled content.
The initiative reflects Ángela’s broader objective of making beauty education more accessible to women with different backgrounds, ages, cultures, and life experiences.
She also intends to expand the REFLEJO™ Method internationally as an educational framework that can be used across workshops, community programs, and other learning environments.
From New York Fashion Platforms to Education
Since arriving in New York in 2020, Ángela has worked across several areas of the beauty industry while establishing herself as an educator, author, professional makeup artist, and entrepreneur.

Her professional experience has included participation in major New York fashion platforms, including New York Fashion Week, where she has held leadership roles within makeup teams.
Alongside her work as a makeup artist, Ángela has focused on creating professional development opportunities for emerging artists. She has supported initiatives that allow aspiring makeup professionals to gain experience at fashion shows, develop portfolios, strengthen practical skills, and gain exposure to professional working environments.
Her makeup artistry has also appeared in publications and magazine covers connected with New York and France.
As an educator and entrepreneur, Ángela has participated in events throughout the Latino community in the United States, using those opportunities to discuss makeup education, entrepreneurship, confidence, and professional development.
Bogotá International Book Fair Milestone
In 2026, Ángela participated in the Bogotá International Book Fair (FILBo), where she presented her work as an author and discussed her approach to connecting makeup education with women’s empowerment.
The appearance represented another step in Ángela’s effort to expand her work beyond traditional beauty services and develop a broader educational platform.
Her current work builds on that experience by integrating her published material with the REFLEJO™ Method, digital education, accessibility, and community engagement.
Bringing Beauty Education to Communities
Ángela is also strengthening partnerships and developing social initiatives aimed at providing free workshops focused on self-makeup, self-esteem, and empowerment.
The planned initiatives are intended to reach women in Afro-descendant, rural, and Indigenous communities in Colombia, as well as other populations that may have limited access to beauty education and related professional-development opportunities.
Through these programs, Ángela aims to apply the experience she has developed in the beauty industry to educational and community-based settings.
She has also begun collaborating with organizations and foundations that support women while developing a broader social-impact platform centered on education, leadership, inclusion, and dignity.
Connecting Beauty Education With Women’s Rights
Ángela recently participated in an event held within the context of the United Nations focused on education for peace and human rights.
She describes the experience as an important development in her work and one that strengthened her interest in participating in initiatives involving women’s rights, education, dignity, and access to opportunity.
Her long-term vision is to connect beauty education with wider social-impact initiatives and establish strategic partnerships capable of bringing those programs to additional communities.
For Ángela, women’s empowerment encompasses more than personal appearance. Her work increasingly addresses education, autonomy, inclusion, professional opportunity, dignity, and women’s ability to make informed decisions about their own lives.
An Immigrant Entrepreneur Building From New York
Ángela’s professional development also reflects her experience as a Colombian immigrant establishing a career in the United States.
Since moving to New York in 2020, she has worked to build her professional identity across makeup artistry, education, publishing, and entrepreneurship while developing Divina Makeup and the REFLEJO™ Method.
Her focus has gradually shifted from applying makeup for clients toward teaching women how to understand their individual features, develop practical skills, and approach their personal image with greater independence.
Through fashion, education, publishing, community initiatives, and international outreach, Ángela is continuing to develop a platform that brings together beauty education and social purpose.
About Ángela Rodríguez
Ángela Rodríguez is a Colombian-born author, professional makeup artist, Beauty Educator, entrepreneur, and creator of the REFLEJO™ Method. She is the founder of Divina Makeup and author of Maquíllate en 6 Pasos. Based in New York, her work focuses on self-makeup education, professional development, inclusion, accessibility, women’s empowerment, and community-focused initiatives.
Instagram: @divina.make.up
Media Contact
Ángela Rodríguez
Author | Beauty Educator | Creator of the REFLEJO™ Method
Founder, Divina Makeup
New York, United States
Instagram: @divina.make.up
Photo Credit: Photos accompanying this release were taken by New York-based photographer Dong Yang.
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BTI, Cornell Develop AI Tool to Map Hidden Universe of Small Molecules
Ithaca, NYResearchers at the Boyce Thompson Institute and Cornell University have developed AIMe (AI Molecule Explorer), a neuro-symbolic AI tool that predicts, organizes, and searches mass spectra for more than 100 million known small organic molecules—creating a searchable map of chemical space roughly a thousand times larger than existing experimental libraries. Applying AIMe to gut microbiome data, the team identified a previously unknown, ring-shaped polyamine compound also found in human fecal samples, and used the tool to annotate millions of unidentified spectra in a major public mass spectrometry database.
Researchers at the Boyce Thompson Institute and Cornell University have developed AIMe (AI Molecule Explorer), a neuro-symbolic AI tool that predicts, organizes, and searches mass spectra for more than 100 million known small organic molecules—creating a searchable map of chemical space roughly a thousand times larger than existing experimental libraries. Applying AIMe to gut microbiome data, the team identified a previously unknown, ring-shaped polyamine compound also found in human fecal samples, and used the tool to annotate millions of unidentified spectra in a major public mass spectrometry database.
Ithaca, NY
Researchers at the Boyce Thompson Institute (BTI) and Cornell University unveiled AIMe (AI Molecule Explorer), a neuro-symbolic artificial intelligence tool that predicts and maps the mass spectra of more than 100 million known small organic molecules. The tool tackles a long-standing bottleneck in biomedical science—more than 80% of small molecules detected in a typical biological sample cannot be matched to a known structure—a gap that has stalled discoveries linking the gut microbiome, immunity, and metabolism.

The work is a collaboration between Frank Schroeder, Professor at BTI and in Cornell’s Department of Chemistry and Chemical Biology, and Carla Gomes, Professor of Computing and Information Science and director of Cornell’s AI for Science Institute.
A different approach to an old problem
Mass spectrometry is the workhorse for small molecule identification used in a wide range of applications from toxicology to food analysis. When a compound is analyzed, the instrument fragments it and records the masses of the resulting pieces. That pattern of fragments, the tandem mass spectrum (or MS2 spectrum), functions as a molecular fingerprint. To identify an unknown compound, researchers compare its spectrum against a reference library of spectra from known compounds or develop hypotheses as to what the structure of a compound may be based on manual analysis of the fragmentation pattern.
The problem is that experimental reference libraries remain sparse, while expert, one-by-one interpretation is labor-intensive and slow. Collectively, available libraries cover fewer than 1% of known compounds, and resolving the structure of a single unknown can take days to months of iterative analysis and experimental validation. As a result, spectra without close library matches usually remain unannotated.
AIMe takes a different approach. Rather than waiting for experimental spectra to accumulate in libraries, it predicts spectra computationally—then organizes those predictions into a searchable resource called MS2KOSMOS. AIMe generated more than 800 million predicted spectra covering essentially all known small organic molecules in PubChem, the largest publicly available chemical database. That represents roughly a thousandfold expansion of searchable chemical space relative to existing experimental libraries.
“At the core of AIMe is DeepMS2Reasoner, a model that simulates how molecules fragment inside a mass spectrometer,” explained Gomes. “It builds fragmentation pathways step by step, using symbolic chemical rules to enumerate physically plausible fragmentation steps and a neural network to assign likelihoods to each step. The result is a predicted spectrum and an annotated map of how a molecule came apart—a feature that makes AIMe’s outputs interpretable in chemical terms, not just computationally useful.”
From mouse gut to human biology
To demonstrate what AIMe can do in practice, the researchers applied it to a comparative metabolomics dataset from mice. The experiment compared germ-free mice, animals raised without any gut microbiota, against mice with a normal complement of gut bacteria. Several thousand chemical features differed between the two groups, and most of the abundant ones could not be identified using standard methods.
The team used AIMe to query MS2KOSMOS with spectra from the 111 most abundant unidentified microbiota-dependent compounds. For roughly a third, AIMe retrieved close predicted spectral matches and related structural candidates, providing chemically interpretable leads for follow-up. For the rest, AIMe mapped the unknown spectra to molecular neighborhoods—sets of structurally related compounds whose shared fragmentation patterns could inform hypotheses about what the unknowns might be.
“Two compounds in particular became a case study in what AI-guided structure elucidation can accomplish,” said Schroeder. “Both produced spectra that suggested they were polyamine derivatives, a well-studied class of molecules, but the fragment patterns didn’t match anything previously described. Using AIMe’s output as a guide, our team assembled candidate structures combinatorially, predicted spectra for each candidate, and used the comparison to narrow the field.”
For the first compound, the best candidate was a linear putrescine derivative, which was then easily verified by synthesizing an authentic standard. For the second, the predicted spectra of potential candidates consistently failed to explain two prominent peaks—until the team expanded the search to include cyclized variants.
Synthesis confirmed what the predictions suggested. The second compound turned out to be a structurally unusual macrocyclic polyamine—a ring-shaped variant unlike any previously reported from mouse or human biology. Searches of a large public mass spectrometry database subsequently found the same compound in samples of human origin, detected in 57 of 99 human fecal samples examined.
Polyamines occupy an important position in biology. They sit at the intersection of diet, the gut microbiome, and immune function—and these findings suggest that the catalog of microbiota-dependent polyamines is far less complete than scientists assumed.
Annotation at scale
The researchers also tested AIMe at repository scale, applying it to more than 7 million spectral clusters from the Global Natural Products Social Molecular Networking database, one of the largest publicly available repositories of mass spectrometry data. Prior annotation efforts had annotated roughly 416,000 of those clusters. AIMe returned putative annotations for approximately 2.69 million, using the same similarity threshold applied in that earlier effort.
AIMe is accessible at https://www.cs.cornell.edu/gomes/udiscoverit/kosmos/ and the source code will be made publicly available upon publication of the study. The preprint is available on bioRxiv (DOI: 10.64898/2026.08.05.743095).
About the Boyce Thompson Institute (BTI)
As an independent nonprofit research institute affiliated with Cornell University, our scientists are committed to advancing solutions for global food security, agricultural sustainability, and human health. Through groundbreaking research, transformative education, and rapid translation of discoveries into real-world applications, BTI bridges fundamental plant and molecular science with practical impact. Discovery inspired by plants since 1924. Learn more at BTIscience.org.
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