Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


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Academia.edu
(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


Analogical and Logical Thinking – In the Context of Inter- or Trans-Disciplinary Communication and Real-Life Problems
Nagib Callaos, Jeremy Horne
(pages: 1-17)

Artificial Intelligence for Drone Swarms
Mohammad Ilyas
(pages: 18-22)

Brains, Minds, and Science: Digging Deeper
Maurício Vieira Kritz
(pages: 23-28)

Can AI Truly Understand Us? (The Challenge of Imitating Human Identity)
Jeremy Horne
(pages: 29-38)

Comparison of Three Methods to Generate Synthetic Datasets for Social Science
Li-jing Arthur Chang
(pages: 39-44)

Digital and Transformational Maturity: Key Factors for Effective Leadership in the Industry 4.0 Era
Pawel Poszytek
(pages: 45-48)

Does AI Represent Authentic Intelligence, or an Artificial Identity?
Jeremy Horne
(pages: 49-68)

Embracing Transdisciplinary Communication: Redefining Digital Education Through Multimodality, Postdigital Humanism and Generative AI
Rusudan Makhachashvili, Ivan Semenist
(pages: 69-76)

Engaged Immersive Learning: An Environment-Driven Framework for Higher Education Integrating Multi-Stakeholder Collaboration, Generative AI, and Practice-Based Assessment
Atsushi Yoshikawa
(pages: 77-94)

Focus On STEM at the Expense of Humanities: A Wrong Turn in Educational Systems
Kleanthis Kyriakidis
(pages: 95-101)

From Disciplinary Silos to Cyber-Transdisciplinary Networks: A Plural Epistemic Model for AGI-Era Knowledge Production
Cristo Leon, James Lipuma
(pages: 102-115)

Generative AI (Artificial Intelligence): What Is It? & What Are Its Inter- And Transdisciplinary Applications?
Richard S. Segall
(pages: 116-125)

How Does the CREL Framework Facilitate Effective Interdisciplinary Collaboration and Experiential Learning Through Role-Playing?
James Lipuma, Cristo Leon
(pages: 126-145)

Narwhals, Unicorns, and Big Tech's Messiah Complex: A Transdisciplinary Allegory for the Age of AI
Jasmin Cowin
(pages: 146-151)

Playing by Feel: Gender, Emotion, and Social Norms in Overwatch Role Choice
Cristo Leon, Angela Arroyo, James Lipuma
(pages: 152-163)

Responsible Integration of AI in Public Legal Education: Regulatory Challenges and Opportunities in Albania
Adrian Leka, Brunilda Haxhiu
(pages: 164-170)

The Civic Mission of Universities: Transdisciplinary Communication in Practice
Genejane Adarlo
(pages: 171-175)

The Promise and Peril of Artificial Intelligence in Higher Education
James Lipuma, Cristo Leon
(pages: 176-182)

They Learned the Course! Why Then Do They Come to Tutorials?
Russell Jay Hendel
(pages: 183-187)

To Use or Not to Use Artificial Intelligence (AI) to Solve Terminology Issues?
Ekaterini Nikolarea
(pages: 188-195)

Transdisciplinary Supersymmetry: Generative AI in the Vector Space of Postdigital Humanism
Rusudan Makhachashvili, Ivan Semenist
(pages: 196-204)

Why Is Trans-Disciplinarity So Difficult?
Ekaterini Nikolarea
(pages: 205-207)


 

Abstracts

 


ABSTRACT


Risk Assessment and Management for Long-Term Storage of CO2 in Geologic Formations — United States Department of Energy R&D

Dawn Deel, Kanwal Mahajan, Christopher Mahoney, Howard McIlvried, Rameshwar Srivastava


Concern about increasing atmospheric concentrations of carbon dioxide (CO2) and other greenhouse gases (GHG) and their impact on the earth’s climate has grown significantly over the last decade. Many countries, including the United States, wrestle with balancing economic development and meeting critical near-term environmental goals while minimizing long-term environmental risks. One promising solution to the buildup of GHGs in the atmosphere, being pursued by the U.S. Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) and its industrial and academic partners, is carbon sequestration—a process of permanent storage of CO2 emissions in underground geologic formations, thus avoiding CO2 release to the atmosphere. This option looks particularly attractive for point source emissions of GHGs, such as fossil fuel fired power plants. CO2 would be captured, transported to a sequestration site, and injected into an appropriate geologic formation. However, sequestration in geologic formations cannot achieve a significant role in reducing GHG emissions unless it is acceptable to stakeholders, regulators, and the general public, i.e., unless the risks involved are judged to be acceptable. One tool that can be used to achieve acceptance of geologic sequestration of CO2 is risk assessment, which is a proven method to objectively manage hazards in facilities such as oil and natural gas fields, pipelines, refineries, and chemical plants. Although probabilistic risk assessment (PRA) has been applied in many areas, its application to geologic CO2 sequestration is still in its infancy. The most significant risk from geologic carbon sequestration is leakage of CO2. Two types of CO2 releases are possible—atmospheric and subsurface. High concentrations of CO2 caused by a release to the atmosphere would pose health risks to humans and animals, and any leakage of CO2 back into the atmosphere negates the effort expended to sequester the CO2. Subsurface risks, attributable to subsurface releases, arise from the displacement of fluids by the injected CO2 that could damage nearby hydrocarbon resources or trigger small seismic events. There is also the potential for sequestered CO2 to leak into non-saline formations, which could cause problems with potable uses of this water. However, overall, risks from CO2 sequestration are believed to be small. Implementation of CO2 sequestration is being approached in phases. The DOE is currently sponsoring a series of pilot tests to generate important data that will elucidate the risks involved in geologic sequestration and lead to the development of risk management protocols. This phased approach should ensure that potential sources of leakage are identified, consequences are quantified, events with the potential to cause harm are analyzed to estimate their frequency and associated risk, and safeguards are put in place to further reduce risks for an operation for which risks already appear to be low.

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