Jamell Dacon is a fourth year Ph.D student in the Department of Computer Science and Engineering at Michigan State University (MSU).
Hi! I joined the Data Science and Engineering (DSE) Lab in Fall 2018. I am a computer scientist in training and an aspiring data scientist. My current research focuses on examining subjectivity in textual data; sentiment analysis; polarity/opinion identification and extraction, and linguistic analyses of social media behavior. I am very interested in examining the stereotypical (socially-constructed and racial) biases in natural language processing (NLP) language technologies. Currently, I focus on conceptualizing social harms arising from current corpus linguistic research and the advancements of language technologies highlighting both positive and negative social impacts.
I was fortunate to be awarded a University Enrichment Fellowship (UEF) by The Graduate School at MSU, and an NSF Research Traineeship IMPACTS Fellowship. I not only concentrate on increasing my academic skills, but is very passionate about Volunteering, Community Outreach, Diversity and Inclusion, in that, I was awarded a Graduate Leadership Fellowship by the College of Engineering.
- Ph.D advisor: Dr. Jiliang Tang
- Research Interests: Natural Language Processing, Text Mining, Computational Social Science, and Fairness in Machine Learning.
In the year 2021:
12, 2021: Our tutorial "Trustworthy AI" has been accepted by The 31th International Web Conference (TheWebConf 2022).
10, 2021: Selected to be a member of Team MSU for the QSIDE inaugural Datathon4Justice Workshop to collectively examine and analyze real-world criminal justice data to enhance our understanding of real-world social justice problems.
10, 2021: Invited to serve as a speaker at the Diversity and Inclusion (DIVE-IN) Talk Series at the University of North Florida to present our work titled - "What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020" [Flyer][Registration].
09, 2021: A preprint of our paper "What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020" is released on ArXiv [PDF] [BibTex].
08, 2021: Awarded a Michigan State University Graduate Teaching Assistantship for Fall 2021.
05, 2021: Awarded a ICWSM Student Scholarship to attend ICWSM 2021.
05, 2021: Our paper "Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles" has been accepted to the 7th International Conference on Computational Social Science IC2S2 2021 as a poster presentation. [Poster].
03, 2021: Awarded a Student Scholarship award to attend The 30th International Web Conference (TheWebConf 2021).
02, 2021: Our paper "Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles" has been accepted to The 30th International Web Conference (TheWebConf 2021). Planned Schedule. [HTML][PDF][Slides][BibTex].
Before the year 2021:
09, 2020: Our paper "Does Gender Matter? Towards Fairness in Dialogue Systems" is accepted to the 28th International Conference on Computational Linguistics (COLING 2020). [PDF][BibTex][Slides].
07, 2020: Awarded an NSF Research Traineeship IMPACTS fellowship for Fall 2020, Spring 2021 and Summer 2021.
07, 2020: Invited to serve as a panelist for the panel, ''Addressing Implicit Bias Towards the Black Community in Conversational Products'' hosted by Voice Tech Global.
05, 2020: Awarded a full-time, fully-remote Digital User Experience (UX) Research and Design internship during the Summer of 2020.
02, 2020: Our paper, "Link and Interaction Polarity Predictions in Signed Networks" has been accepted for publication in Social Network Analysis and Mining (SNAM 2020). [PDF][BibTex].
01, 2020: Awarded a Michigan State University Graduate Teaching Assistantship for SPR 2020.
10, 2019: A preprint of our paper "Does Gender Matter? Towards Fairness in Dialogue Systems" is released on Arxiv [PDF][BibTex].
09, 2019: Administered a Recommender System Dataset Repository on Github consisting of a list of compatible datasets, algorithms, tutorials, metrics and more. Note that this repository contains popular real-world datasets, and can be found [HERE].
08, 2019: Awarded a Michigan State University Graduate Teaching Assistantship for FALL 2019.
07, 2019: Awarded a travel grant to The International Conference on Machine Learning (ICML 2020).
08, 2018: Awarded a Michigan State University Enrichment Fellowship (UEF) 2018-2023.
07, 2018: Presented a poster titled The Power of Data Visualization to examine the correlation between Air Quality and Health Disparities within the Five Boroughs of New York at the HCCP Program, New York Symposium.
06, 2018: Awarded a Data Analytics Undergraduate Research Assitantship at The City University of New York - Medgar Evers College (MEC) through the HCCP Program.
02, 2018: Awarded a NASA Space Grant Scholarship by Google Inc.