I'm recruiting multiple PhD students for Fall 2026 in Computer Science at @hopkinsengineer.bsky.social 🍂

Apply to work on AI for social sciences/human behavior, social NLP, and LLMs for real-world applied domains you're passionate about!

Learn more at kristinagligoric.com & help spread the word!

Excited to co-organize the Bridging Human and LLM Annotations for Social Science tutorial at #ic2s2 tomorrow!

Join us at 1:30pm CEST to learn how to combine Qualtrics+Prolific, MTurk, & LLMs for automated annotation and valid estimates.

Code&materials: github.com/kristinaglig...

My amazing husband @tiziano.bsky.social is also joining Johns Hopkins CS as an Assistant Professor, working on social computing&HCI 💙. We’re beyond excited for this next chapter. I'm so grateful to my mentors and collaborators!

I'm excited to announce that I’ll be joining the Computer Science department at Johns Hopkins as an Assistant Professor this Fall! I’ll be working on large language models, computational social science, and AI & society—and will be recruiting PhD students. Apply to work with me!

And, on Fri at 12pm at the AI & Scientific Discovery Workshop, I’ll present our work on how LLMs can support food scientists and chefs in designing more sustainable diets 🍽️🤖

📝 Paper: arxiv.org/pdf/2503.04734

I'm at #NAACL2025 & would love to chat!

On Thu, I'll be presenting our paper on LLM annotations for valid estimates in social science (oral talk @ 4pm, CSS session)

📝 Paper: aclanthology.org/2025.naacl-l...
*New* 🧪 tutorial (LLMs + Prolific data collection): github.com/kristinaglig...

For a menu design task, equipping LLMs with optimization tools decreases emissions of food choices by 79% in a hypothetical restaurant while maintaining participants’ satisfaction. Simpler baselines (vegetarian only, naive prompting) decrease emissions, too, but they also decrease satisfaction.

Highlights: Food science experts estimated that collaboration with an LLM reduces time spent on a sustainable protein design task by 45%, compared to 22% for collaboration with another expert human food scientist. LLMs generate accurate, specific, and complementary suggestions.

🤖🍲 What can LLMs do for sustainable food? 🤖🍲

We collaborated with domain experts (food scientists and chefs) to define a typology of food design and prediction tasks.

LLMs can assist in food and menu development, saving food scientists' time and reducing emissions!

URL: bit.ly/3ERJbUV

Highlights: Food science experts estimated that collaboration with an LLM reduces time spent on a sustainable protein design task by 45%, compared to 22% for collaboration with another expert human food scientist. LLMs generate accurate, specific, and complementary suggestions.