As a distinguished computer scientist, Dr. Jamell Dacon empowers students, faculty, and the broader community through education and leadership, addressing the significant challenges facing our world today.
"Honesty does not need brutality" — Mahatma Gandhi
Dr. Jamell Dacon is a (Tenure-Track) Assistant Professor in the Department of Computer Science at Morgan State University since September 2023. Dr. Dacon serves as the Director & Lead Principal Investigator of the MINDS Lab, and the Founder & Executive Director of the Institute of Interdisciplinary Data Science Research (I2DSR) Inc. Dr. Dacon's current research focuses on Trustworthy AI, Natural Language Processing, Computational Social Science, and Interdisciplinary Data Science. He specializes in applying empirical methods to analyze and address socioethical implications such as bias, stereotypes, and representational harms in AI technologies.
He is the recipient of the 2024-2025 Faculty Research Initiative Grant by the Thurgood Marshall College Fund (TMCF) and the Novartis US Foundation, and a U.S. Army DEVCOM Army Research Laboratory 2024 U.S. Department of Defense (DoD) HBCU/MI Summer Faculty Research Fellowship Award. In addition to his academic pursuits, Dr. Dacon actively contributes to the scholarly community as a Program Committee member and reviewer for top-tier international conferences and journals in machine learning and data science, including Nature, *ACL, AAAI, TheWebConf, etc.
Dr. Dacon earned a Ph.D. and M.S. in Computer Science from Michigan State University in 2023 and 2020, respectively, supported by prestigious Michigan State University University Enrichment Fellowship and National Science Foundation GRFP fellowship under the guidance of Dr. Jiliang Tang. Prior to his doctoral studies, Dr. Dacon completed a B.S. in Mathematics and an A.S. in Computer Science at City University of New York—Medgar Evers College in 2018.
Graduate voice: Turning first-generation barriers into historic firsts
"... Now, at 26 years old, I proudly carry the Republic of Trinidad and Tobago flag as one of a few Black CSE doctoral graduates and first Afro-Caribbean graduate to achieve this milestone. I am honored to be making waves in the computer science field and representing my country on this academic journey." - MSUToday (Nov 6th, 2023)
Specialize in advancing data science and machine learning algorithms to develop theoretically grounded reliable, safe, explainable and interpretable AI tools. Focus areas include Fairness & Bias in AI (particularly in ML and NLP), Human-Computer Interaction, and Data Science for Social Good, with applications in areas such as Criminal Recidivism, Cyberbullying, Marginalization, Health Equity, Social Welfare Policy, and Educational Equity.
Explore interdisciplinary applications of AI+X, spanning Education, Biology, Linguistics, Healthcare, and Social Sciences. Current investigations include leveraging AI techniques to enhance educational outcomes, understand biological phenomena through computational models, and analyze linguistic patterns for societal impact.
Engage in cutting-edge research on Social Good Applications of AI, specifically addressing challenges such as information disorder to promoting digital well-being. Develop methodologies to combat harmful online content and foster inclusive digital environments through ethical AI frameworks, and community-driven interventions.
I2DSR (or the Institute for Interdisciplinary Data Science Research Inc. is a non-profit organization (NPO) founded to increase the participation and retention of underrepresented and historically excluded students in computing by providing training and research activities, I2DSR's goal is to reduce both technological inequality and marginalization.
By leveraging advanced machine learning and data mining algorithms, the Machine Intelligence and Data Science (MINDS) Lab focuses on the analysis, experimental evaluation, design and implementation of theory, logic and systems, with an emphasis on developing explainable, interpretable and theoretically sound tools to create new and innovative technology.
ASEA
(Addressing Socioethical Effects of Artificial Intelligence) [pronounced “ay-see”] is a free and open to all socioethical workshop to address disparities in AI by conducting plenary discussions of its societal effects in full, via end-to-end cutting-edge research.
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