DDSS is coordinating initial meetings so researchers at all levels (graduate students, research specialists, postdocs, faculty, etc.) can meet others working in these technical niche areas. The aim is to share knowledge across disciplines, avoid duplicate efforts made in isolation, and identify areas through which DDSS may best support these efforts (e.g., providing a repository for crowdsourced code, coordinating advanced training, or developing relevant tools).
We will hold an introductory meeting for each group, where researchers can learn about the research questions, approaches, challenges, and priorities of other projects within the same area. Please click tab below for current searches.
DDSS holds its own workshops during the academic year. These events will be announced through our mailing list and will be posted here. Ideas for additional workshops, including advanced technical training by external sources, can be submitted to [email protected] for consideration.
Princeton R Group
The Princeton R Group, sponsored by DDSS, will host a series of monthly R lunch-n-learns, lightning talks, and invited speakers. Details for forthcoming events will be added to this page. Please contact DDSS Graduate Fellow Kim Kreiss or Angela Li to learn more about the group or propose topics for future sessions.
This two-part workshop goes from a gentle introduction to key concepts in deep learning to the mechanics of advanced architectures used in the cutting edge of research. In Part 1, we will cover the core building blocks of neural networks models, and gain an understanding of the key intuitions behind using neural networks to model data.
The ability of GPT-3 and its "cousins" to generate texts for a broad range of tasks–from summarization to question-answering and information retrieval—via an intuitive natural language interface—may hold great promise for social science research. Already, researchers are using GPT-3 for tasks ranging from optical character recognition (OCR)…
We are currently searching for researchers working on the following topics:
- Video as Data (from annotation to computer vision)
- Geocoding in Social Science Data
- Large Language Models
- Complex Record Linkages
- Stochastic Network Models
Please email Lori Bougher stating your interest in joining any of these groups or if you have a proposal for another topic.
Graduate students wil talk about interesting applications of R in their work and see how you too can use R for social science and policy research! Please contact Angela Li or DDSS Graduate Fellow Kim Kreiss …