Hadas Raviv

Talks & Presentations

Invited Talks

  1. Aug 2026 The First 1,000 Days (1kD): Modeling Language Acquisition using Continuous Child-Centered Experience. Beyond Curated Datasets, CCN 2026 Satellite event, New York City, NY, USA.
  2. Apr 2026 The Richness of Experience: An Agent-Based Framework for Modeling Early Language Acquisition. Princeton Neuroscience Institute Seminar Series, Princeton University, Princeton, NJ, USA.
  3. Feb 2026 Is the Stimulus Really Poor? Language Learning from 1,000 Days of Continuous Child-Centered Experience. Natural and Artificial Minds, AI Lab, Princeton University, Princeton, NJ, USA.
  4. Feb 2026 Is the Stimulus Really Poor? Language Learning from 1,000 Days of Continuous Child-Centered Experience. Human Diversity Lab, Princeton University, Psychology, Princeton University, Princeton, NJ, USA.
  5. Dec 2025 The First 1,000 Days (1kD) Project: Collecting and Analyzing an Ultra-Dense Naturalistic Dataset of Infant Development. DARCLE: Daylong Audio Recordings of Children’s Linguistic Environments, virtual seminar.
  6. Dec 2025 Modeling the Acquisition of Language Using Naturalistic Data. Artificial Intelligence in Collectives Workshop, Princeton University, Princeton, NJ, USA.
  7. Nov 2024 Harnessing Real-World Data to Model the Complexity of Language Acquisition. The First Workshop on NLP for Science, EMNLP 2024, Miami, FL, USA.
  8. Nov 2024 The First 1,000 Days: Harnessing Real-World Data to Model the Complexity of Language Acquisition Developmental Research Seminar, Princeton University, Princeton, NJ, USA.
  9. May 2024 Harnessing Real-World Data to Model the Complexity of Language Acquisition. Princeton Neuroscience Institute retreat, NJ, USA.
  10. May 2024 Harnessing Real-World Data to Model the Complexity of Language Acquisition. AI, Speech and Language Science — 3rd BRAIN Research Cluster Symposium, Hong Kong (Remote).
  11. Oct 2023 Harnessing Real-World Data to Model the Complexity of Language Acquisition. New Methods for Modeling Child-Caregiver Interactions, Princeton University, Princeton, NJ, USA.

Conference Talks

  1. Oct 2026 Governing the home archive: Contextual integrity and the ethics of AI-mediated behavioral data. Liat Hasenfratz, Hadas Raviv, Uri Hasson, Casey Lew-Williams.
    CSCW 2026, Salt Lake City, UT, USA.
  2. Sep 2026 Governing inference: Translating privacy conditions into institutional design for AI-mediated behavioral archives. Liat Hasenfratz, Hadas Raviv, Uri Hasson, Casey Lew-Williams.
    Data for Policy 2026, Barcelona, Spain.
  3. Nov 2025 The First 1,000 Days Project. Hadas Raviv, Brooke Ryan, Liat Hasenfratz, Casey Lew-Williams, Uri Hasson.
    Conference Symposia, The 50th Annual Boston University Conference on Language Development, Boston, MA, USA.
  4. May 2025 The First 1,000 Days: Creating Cloud-Based Systems for Collecting and Analyzing a Big Naturalistic Dataset to Study Human Development. Hadas Raviv, Liat Hasenfratz, Irene Kopaliani, Uri Hasson.
    Research Presentation, 2025 Higher Education Cloud Forum, New York City, NY, USA.
  5. Mar 2020 Utilizing Human Annotations for Complex Evaluation Tasks. Hadas Raviv.
    Lightning talk, Women in Data Science, Tel Aviv, Israel.
  6. Jul 2016 Document Retrieval Using Entity-Based Language Models. Hadas Raviv, Oren Kurland, David Carmel.
    Conference talk, The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, Pisa, Italy.
  7. Jul 2014 Entity-based Retrieval. Hadas Raviv.
    Doctoral consortium, The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, Gold Coast, Australia.

Posters

  1. Sep 2026 The First 1,000 Days (1kD): Modeling Language Acquisition using Continuous Child-Centered Experience. Hadas Raviv, Arkadii Tsyhanov, Kira Gousios, Aja Altenhof, Haocheng Wang, Berlin Chen, Ofri Raviv, Tal Rosenwein, Casey Lew-Williams, Liat Hasenfratz, Uri Hasson.
    Learning Dynamics in Natural and Artificial Intelligence, Kempner Institute, Harvard University, Boston, MA, USA.
  2. Jul 2014 Query Performance Prediction for Entity Retrieval. Hadas Raviv, Oren Kurland, David Carmel.
    The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, Gold Coast, Australia.
  3. Jul 2013 The Cluster Hypothesis for Entity Oriented Search. Hadas Raviv, Oren Kurland, David Carmel.
    The 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, Dublin, Ireland.
  4. Feb 2009 Comparative Study of the Spread of 224-Ra Progeny Atoms and Local Tumor Control in Different Experimental Models of Solid Tumors Treated by Diffusing Alpha-Emitters Radiation Therapy (DART). Hadas Bittan (Raviv), Tomer Cooks, Galit Horev, Margalit Efrati, Lior Arazi, Michael Schmidt, Sefi Raab, Yona Keisari.
    The Meeting of the Israeli Society for Cancer Research, Tel Aviv, Israel.