I'm very interested in human-in-the-loop generative machine learning and computational empathy.

 

I am part of the Affective Computing Group at the MIT Media Laboratory under Rosalind Picard and Henry Lieberman. In a prior life, I was at Carnegie Mellon University, and worked with Carolyn Rose, Robert Hampshire & Laura Dabbish.

My research interests therefore revolve around these topics:

Selected Projects
  • Fathom: Computational Empathy

    A society of advanced probabilistic graphical models working in tandem with a fail-soft paradigm to create a national crisis text helpline and to bring large scale data science to understanding psychological illnesses. MIT

  • Ananda

    Mixed-iniative variations of learning algorithms that focuses on the embedding of human judgment and insight in the inner inference loops, with a special emphasis on topic models and kernel methods. MIT

  • Ruminati: ModelingDetection of Textual Cyberbullying

    A computationa framework using kernel methods, commonsense reasoning and topic models to detect instances of textual cyberbullying on social media in conjunction with reflective user interaction to combat it. MIT

  • iBike: Supervised learning for optimizing bike sharing

    Supervised machine learning techniques to optimize bike sharing programs by predicting per-hour capacity demand patterns for individual stations in conjunction with real-time visualizations. CMU

  • Agile Development

    Agile development deemphasizes long-term planning in favor of short-term adaptiveness, a strength in a rapidly changing dev environment. However, this short-term focus creates a temptation to neglect best practices for long-term success. How might one find the right balance? CMU

Publications
  1. RA Calvo, K. Dinakar, R. Picard, J. Torous (to appear). "2nd Symposia on Computing and Mental Health." in Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Denver CO. PDF
  2. R.A. Calvo, K. Dinakar, R. Picard, P. Maes “Computing in Mental Health” To appear in the ACM CHI ’16 Extended Abstracts on Human Factors in Computing Systems. San Jose, CA, May 2016. PDF
  3. Weinstein, E., Thomas, S., Kim, J., White A., Dinakar, K., Selman, R. "How to cope with digital stress: The recommendations adolescents offer their peers online". Journal of Adolescent Research, April 2015. PDF
  4. Dinakar, K., Picard., R, Lieberman, H., "Commonsense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying (Extended Abstract)". , International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, July 2015. Invited Paper PDF
  5. Dinakar, K., Chen, Jackie., Lieberman, H., Picard., R, "Mixed-Initiative Real-Time Topic Modeling & Visualization for Crisis Counseling". To appear in the Twentieth ACM International Conference on Intelligent User Interfaces, 2015, Atlanta GA. PDF
  6. Dinakar, K., Chaney, J.B.C., Lieberman, H., Blei, D., "Real-time Topic Models for Crisis Counseling". In the Twentieth ACM SIGKDD Conference on Knowledge Discovery and Mining, Workshop on Data Science for the Social Good, 2014, New York, NY. PDF
  7. Dinakar, K., Weinstein, E., Lieberman, H., Selman, R., "Stacked Generalization Learning to Analyze Adolescent Distress". In the AAAI Eigth International Conference on Weblogs and Social Media, 2014, Ann Arbor, Michigan. PDF
  8. Lieberman, H., Dinakar, K., Jones, B., 2013. "Crowdsourced ethics with personalized story matching". In CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13). ACM, New York, NY, USA, 709-714. PDF
  9. Dinakar, K., "Ruminati: Modeling the Detection of Textual Cyberbullying", Masters Thesis, Massachusetts Institute of Technology.PDF
  10. Dinakar, K., Jones, B., Lieberman, H., R.,Picard, R.W., Rose, C.P., Thoman, M., Reichart,R., "You Too?! Mixed Initiative LDA story-matching to help teens in distress". In the AAAI Sixth International Conference on Weblogs and Social Media, 2012, Dublin, Ireland. PDF
  11. Dinakar, K., Jones, B., Havasi, C., Lieberman, H., Picard, R., "Commonsense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying.", In the ACM Transactions on Interactive Intelligent Systems, 2011. PDF
  12. Lieberman, H., Dinakar, K., Jones, B., "Let's Gangup on Cyberbullying", IEEE Computer, Social Computing, September 2011.PDF
  13. Dinakar K., Reichart R.,Lieberman, H., "Modeling the detection of textual cyberbullying". AAAI International Conference on Weblog and Social Media - Social Mobile Web Workshop, Barcelona, Spain 2011. PDF
  14. Dinakar K., "Agile development: Overcoming a short-term focus in implementing best practices". ACM SIGPLAN sponsored Proceedings of the Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA '09), 2009. PDF

Invited Talks & Panels
  1. Latent Variable Models for Understanding Self-Harm, April 16th, 2015 Keynote address tat the 48th conference of the American Association of Suicidology in Atlanta, GA.
  2. Latent Variable Models, January 12th, 2015 William James Hall, Harvard University
  3. Data Visualization, January 13th, 2015 William James Hall, Harvard University
  4. White House summit on sexual assault on college campuses - I demoed a natural language interface powered by probabilistic graphical topic models to scale mental health crisis help architectures in the United States.
  5. Symposium on computational detection of cyberbullying, organized jointly by Delft University, University of Amsterdam & University of Leiden, September 20th, 2013, Leiden, Netherlands.
  6. Common Sense Reasoning for Detection, Prevention and Mitigation of Cyberbullying, International Conference on Intelligent User Interfaces, Santa Monica, March 19- 22, 2013
  7. The White House Conference on Bullying Prevention, March 10th, 2011, Washington D.C – invited to present my research on computational detection of cyberbullying to the special working group on tackling cyberbullying
  8. Computational Empathy – April 3rd, 2012. Graduate School of Education & Department of Psychology, Harvard University.
  9. Cyberbullying: Dodging the Bullet, IEEE Social Computing Conference 2011, 9th October 2011 Cambridge, MA USA
  10. MIT Medical Diversity Dinner – From Blackeye to Blackberry , March 23rd, 2011 – invited to a four-person panel to deliberate ways and means in which MIT can help contribute to tackling bullying
  11. Agile development: Overcoming a short-term focus in implementing best practices. ACM SIGPLAN sponsored Proceedings of the Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA '09), 2009.

Selected Popular Press Coverage
  • Secret Codes: Literature By the Numbers

    Nautlius Magazine Link

  • BBC Click: Cyberbullying

    BBC World Service Link

  • Whats Happening in the Mathematical Sciences, Vol9: Thinking Topically

    American Mathematical Society Link

  • AI systems could fight cyberbullying

    New Scientist Link

  • Software Detects and Deters Cyberbullying

    Discovery News Link

  • Delivering on the Promise of Innovation to Help Prevent CyberBullying

    The White House Link

  • Researchers Create Artificial Intelligence To Flag Cyberbullying

    Slate Magazine Link

Karthik Dinakar MMXIII