Jamell Dacon, Ph.D.

[C14] DeBoris Leonard^*‡, Ricky Gole^*‡ and Jamell Dacon. “Prescriptive Persistence: Quantifying the Breakdown in Human-AI Pedagogical Co-Regulation in ELL Writing Feedback”. In the Proceedings of the 13th ACM Conference on Learning at Scale (L@S) 2026. (acceptance rate unknown)

[C13] Ricky Gole ^‡and Jamell Dacon. “The Semantic Gap in Behavioral Embeddings: Why Linear Methods Fail for Educational RAG in Mathematics”. In the Proceedings of 19th International Conference on Educational Data Mining (EDM) 2026. (acceptance rate 23%)

[C12] Jamell Dacon, Ricky Gole^‡, Anuva Nuzhat^†, Holy Agyei^†, Obaloluwa Wojuade^†, Mikayla Brown^†. “BIO-DQNA: Meta-Learning and Contrastive Reinforcement Learning for Personalized Comorbidity Management in Type 1 Diabetes and Hypertension”. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. (acceptance rate 19%)

[C11] Mikayla Brown^†, et al. “Towards Data-Driven Diabetes Care: Identifying Key Biomarkers and Risk Factors for Type 2 Diabetes through AI Models”. Society of Epidemiologic Research 2025 Mid-Year Meeting (SER), 2025. (Non-archival) (acceptance rate unknown)

[C10] Chelsea Minard^†, et al. “Exploring Socioeconomic and Demographic Factors in Coronary Artery Disease: Using AI and Knowledge Graphs to Identify Healthcare Inequities”. Society of Epidemiologic Research 2025 Mid-Year Meeting (SER), 2025. (Non-archival) (acceptance rate unknown)

[C09] Chukwuemeka Obasi^†, et al. “Improving Hypertension Prediction and Management through AI: A Focus on Socioeconomic, Environmental, and Demographic Influences”. Society of Epidemiologic Research 2025 Mid-Year Meeting (SER), 2025. (Non-archival) (acceptance rate unknown)

[C08] Jamell Dacon and Jiliang Tang. “Beyond Race and Gender: A Look at Sociodemographic Biases Toward Persons with Disabilities”. In Proceedings in the 9th International Conference on Computational Social Science (IC²S² 2023), 2023. (Non-archival) (acceptance rate 77%)

[C07] Jamell Dacon and Jiliang Tang. “Can We Identify and Dismantle “ISMs” that Plague Our Society: An Online Approach”. In Proceedings in the 9th International Conference on Computational Social Science (IC²S²), 2023. (Non-archival) (acceptance rate 77%)

[C06] Jamell Dacon, Haochen Liu and Jiliang Tang. “Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference”. In Proceedings in the 29th International Conference on Computational Linguistics (COLING), 2022. (acceptance rate 28.1%)

[C05] Jamell Dacon and Jiliang Tang. “Examining Word Representations between #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020”. In Proceedings in the 8th International Conference on Computational Social Science (IC²S²), 2022. (Non-archival) (acceptance rate 24.1%)

[C04] Jamell Dacon. “Understanding African American English on a Token-Level Beyond Accuracy”. In Proceedings in the 8th International Conference on Computational Social Science (IC²S²), 2022. (acceptance rate 24.1%)

[C03] Jamell Dacon, Haochen Liu and Jiliang Tang. “Using Inference to Mitigate Linguistic Bias Against African American English”. In Proceedings in the 8th International Conference on Computational Social Science (IC²S²), 2022. (Non-archival) (acceptance rate 24.1%)

[C02] Jamell Dacon and Haochen Liu. “Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles”. In Proceedings in the 7th International Conference on Computational Social Science (IC²S²), 2021. (Non-archival) (acceptance rate unknown)

[C01] Haochen Liu^*, Jamell Dacon^*, et al. “Does Gender Matter? Towards Fairness in Dialogue Systems”. In Proceedings in the 28th International Conference on Computational Linguistics (COLING), 2020. (acceptance rate 33.4%)

[J02] Sourabh Palande, et al., Jamell Dacon, et al. “Topological data analysis across the evolution of flowering plants reveals a core gene expression backbone that defines plant form and function”. PLOS Biology, 2023. (impact factor 9.8)

[J01] Tyler Derr, Zhiwei Wang, Jamell Dacon, and Jiliang Tang. “Link and Interaction Polarity Predictions in Signed Networks”. Social Network Analysis and Mining (SNAM), 2020. (impact factor 2.7)

[BP02] Jamell Dacon, et al. “Optimizing Insulin Dosing for Type 1 Diabetes with Thyroid Dysfunction Using Q-Learning: A Personalized Approach to Chronic Disease Management”. In the Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (Best Paper Runner-up Award) (acceptance rate 26%)

[BP01] Jamell Dacon, et al. “Manifold-Informed Cohort Discovery (MICD): A Framework for Uncovering Latent Risk Signals in Imbalanced Healthcare Data”. In the Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (acceptance rate 26%)

[W03] Jamell Dacon. “Towards a Deep Multi-layered Dialectal Language Analysis: A Case Study of African-American English”. In Proceedings of the 2nd Workshop on Bridging Human-Computer Interaction and Natural Language Processing (NAACL), 2022. (acceptance rate unknown)

[W02] Jamell Dacon, et al. “Detecting Harmful Online Conversational Content towards LGBTQ+ Individuals”. Queer in AI Workshop (NAACL), 2022. (acceptance rate unknown)

[W01] Jamell Dacon and Haochen Liu. “Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles”. In Companion Proceedings in the 30th International Web Conference (WWW), 2021. (acceptance rate 22%)

Jamell Dacon. “Are You Worthy of My Trust? A Socioethical Perspective on the Impacts of Widespread AI Systems on the Environment and Human Society”, 2024.

Sourabh Palande, et al., Jamell Dacon, et al. “The Topological Shape of Gene Expression across the Evolution of Flowering Plants”, 2023.

Jamell Dacon and Jiliang Tang. “What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020”, 2021.