Dirk Hovy

Dirk Hovy

Full Professor

Welcome!

I am a Professor in the Computing Sciences Department of Bocconi University in Milan, where I lead the MilaNLP lab together with Debora Nozza. I am also the scientific director of the Data and Marketing Insights research unit and the current dean for Digital Transformation and AI.

I am interested in what computers can tell us about language and what language can tell us about society, and lately, what society can tell us about computers. That includes sociotechnical aspects of LLMs, sociodemographic bias, and computational social science.

I have authored over 150 articles on these topics, including 3 best and one outstanding paper awards, and have published two textbooks on text processing in Python for social scientists.

I have a forthcoming book published by MIT Press, “Not Like Us: Why AI Isn’t as Human as We Think (and Why That’s a Good Thing)”, coming out early 2027, that you can already pre-order.

I co-founded and organized several workshops (on computational social science, and ethics in NLP), was a local organizer for EMNLP 2017 and general chair for EMNLP 2025. I was awarded an ERC Starting Grant project 2020 for research on demographic bias in NLP.

Outside of work, I enjoy cooking, leather-crafting, and picking up heavy things to put them back down.

If you are interested in working with me, please check the open positions on our lab website. Due to the increased volume, I can no longer reply to unsolicited emails about positions.

Lately

Thoughts On the State of NLP

October, 2026
At EMNLP 2026 in Budapest, I was on a panel with Mor Geva, Lillian Lee, and Raymond Mooney about New Missions in NLP Research. The panel is on Underline, but if you cannot access it, here is a write-up of my main points.

Projects

INDOMITA

Innovative Demographically-aware Hate Speech Detection in Online Media in Italian

MENTALISM

Measuring, Tracking, and Analyzing Inequality using Social Media

INTEGRATOR

Incorporating Demographic Factors into Natural Language Processing Models

Twitter Healthy Conversations

Devising Metrics for Assessing Echo Chambers, Incivility, and Intolerance on Twitter