# Stanford CS 224C | NLP for Computational Social Science

http://web.stanford.edu/class/cs224c/

[CS224C Home](http://web.stanford.edu/class/cs224c/index.html)
  * [Schedule](http://web.stanford.edu/class/cs224c/index.html#schedule)
  * [Logistics](http://web.stanford.edu/class/cs224c/logistics-spring2024.html)
  * [Project](http://web.stanford.edu/class/cs224c/project-spring2024.html)
  * [Discussion](https://edstem.org/us/courses/57892/discussion/)


[ ![](http://web.stanford.edu/class/cs224c/images/Stanford-NLP-stack.jpg) ](http://nlp.stanford.edu/) [ ![](http://web.stanford.edu/class/cs224c/images/stanfordlogo.jpg) ](http://stanford.edu/)
# CS 224C: NLP for Computational Social Science
### Stanford / Spring 2024
## Instructors
[ ![](http://web.stanford.edu/class/cs224c/images/diyi.jpeg) Diyi Yang ](https://cs.stanford.edu/~diyiy/)
[ ![](http://web.stanford.edu/class/cs224c/images/2024spring/jh-profile-s.jpg) Jing Huang, TA ](https://explanare.github.io/)
[ ![](http://web.stanford.edu/class/cs224c/images/2024spring/weixin.jpeg) Weixin Liang, TA ](https://ai.stanford.edu/~wxliang/)
## Welcome!
We live in an era where many aspects of our social interactions are recorded as textual data, from social media posts to medical and financial records. This course is about using a variety of techniques from machine learning and theories from social science to study human behaviors and important societal questions at scale. Topics will include methods for natural language processing and causal inference, and their applications to important societal questions around hate speech, misinformation, and social movements. 
## Schedule
Note: tentative schedule is subject to change.   
| Week  | Date  | Theme  | Course Material  |  
| --- | --- | --- | --- |  
| 1  | April 2  
Tuesday  | Class Introduction   
[[slides](http://web.stanford.edu/class/cs224c/slides/s1_introduction.pdf)]  |  **Optional Readings:**
  * Lazer, David, Alex Pentland, Lada Adamic, Sinan Aral, Albert-Laszlo Barabasi, Devon Brewer, Nicholas Christakis et al. ["Computational social science."](https://www.science.org/doi/10.1126/science.1167742) Science (New York, NY) 323, no. 5915 (2009): 721-723. 
  * Lazer, David MJ, Alex Pentland, Duncan J. Watts, Sinan Aral, Susan Athey, Noshir Contractor, Deen Freelon et al. ["Computational social science: Obstacles and opportunities."](https://www.science.org/doi/full/10.1126/science.aaz8170) Science 369, no. 6507 (2020): 1060-1062.

 |  
| 1  | Apr 4  
Thursday  | Computational basics and Hypotheses Testing  
[[slides](http://web.stanford.edu/class/cs224c/slides/s2_computational_basics.pdf)]  |  **Optional Reading:**
  * Dan Jurafsky and James H. Martin. Speech & language processing. [Chapter 5](https://web.stanford.edu/~jurafsky/slp3/5.pdf). 2021.

 |  
| 2  | Apr 9  
Tuesday  | Working with Text Data / Project Introduction  
[[slides](http://web.stanford.edu/class/cs224c/slides/s3_computational_basics_cont.pdf)]  |  **Optional Reading:**
  * Dan Jurafsky and James H. Martin. Speech & language processing. [Chapter 2](https://web.stanford.edu/~jurafsky/slp3/2.pdf). 2021.

💻 **Homework 1**  |  
| 2  | Apr 11  
Thursday  | Inferring Sentiment and Affect  
[[slides](http://web.stanford.edu/class/cs224c/slides/s4_text_data_sentiment_v2.pdf)] [[Project Overview slides](http://web.stanford.edu/class/cs224c/slides/s4_project_slides.pdf)]  |  **Optional Reading:**
  * Dan Jurafsky and James H. Martin. Speech & language processing. [Chapter 25](https://web.stanford.edu/~jurafsky/slp3/25.pdf). 2021.

💻 **Homework 1** [[Colab Notebook](https://canvas.stanford.edu/courses/190629/files?preview=13370305)]   |  
| 3  | Apr 16  
Tuesday  | Social Influence  
[[Group Presentation slides](http://web.stanford.edu/class/cs224c/slides/Social%20Influence%20CS224C_Aprl_16_2024.pdf)]  |  **Required Reading:**
  * Burke, Moira, and Robert Kraut. ["Using Facebook after losing a job: Differential benefits of strong and weak ties."](https://dl.acm.org/doi/10.1145/2441776.2441936) In Proceedings of the 2013 conference on Computer supported cooperative work, pp. 1419-1430. 2013.
  * Jakesch, Maurice, Advait Bhat, Daniel Buschek, Lior Zalmanson, and Mor Naaman. ["Co-writing with opinionated language models affects users’ views."](https://dl.acm.org/doi/fullHtml/10.1145/3544548.3581196) In Proceedings of the 2023 CHI conference on human factors in computing systems, pp. 1-15. 2023.

**Optional Reading:**
  * Gilbert, Eric, and Karrie Karahalios. ["Predicting tie strength with social media."](https://dl.acm.org/doi/10.1145/1518701.1518736) In Proceedings of the SIGCHI conference on human factors in computing systems, pp. 211-220. 2009.
  * LKramer, Adam DI, Jamie E. Guillory, and Jeffrey T. Hancock. ["Experimental evidence of massive-scale emotional contagion through social networks."](https://www.pnas.org/doi/full/10.1073/pnas.1320040111) Proceedings of the National Academy of Sciences 111, no. 24 (2014): 8788-8790.
  * Granovetter, Mark S. ["The strength of weak ties."](https://www.jstor.org/stable/2776392) American journal of sociology 78, no. 6 (1973): 1360-1380.

 |  
| 3  | Apr 18  
Thursday  | Framing and Persuasion  
[[Group Presentation slides](http://web.stanford.edu/class/cs224c/slides/224C%204_18.pdf)]  |  **Required Reading:**
  * Field, Anjalie, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, and Yulia Tsvetkov. ["Framing and agenda-setting in Russian news: a computational analysis of intricate political strategies."](https://aclanthology.org/D18-1393.pdf) arXiv preprint arXiv:1808.09386 (2018).
  * Yang, Diyi, and Robert E. Kraut. ["Persuading teammates to give: Systematic versus heuristic cues for soliciting loans."](https://dl.acm.org/doi/10.1145/3134749) Proceedings of the ACM on Human-Computer Interaction 1, no. CSCW (2017): 1-21.

**Optional Reading:**
  * Althoff, Tim, Cristian Danescu-Niculescu-Mizil, and Dan Jurafsky. ["How to ask for a favor: A case study on the success of altruistic requests." ](https://web.stanford.edu/~jurafsky/pubs/icwsm2014_pizza.pdf) In Proceedings of the International AAAI Conference on Web and Social Media, vol. 8, no. 1, pp. 12-21. 2014.
  * Zeng, Yi, Hongpeng Lin, Jingwen Zhang, Diyi Yang, Ruoxi Jia, and Weiyan Shi. ["How Johnny can persuade LLMs to jailbreak them: Rethinking persuasion to challenge AI safety by humanizing LLMs."](https://arxiv.org/pdf/2401.06373.pdf) arXiv preprint arXiv:2401.06373 (2024).
  * Petty, Richard E., and John T. Cacioppo. ["The elaboration likelihood model of persuasion."](https://richardepetty.com/wp-content/uploads/2019/01/1986-advances-pettycacioppo.pdf) In Communication and persuasion, pp. 1-24. Springer, New York, NY, 1986.
  * Cialdini, Robert B., and Noah J. Goldstein. ["Social influence: Compliance and conformity."](https://www2.psych.ubc.ca/~schaller/Psyc591Readings/CialdiniGoldstein2004.pdf) Annual review of psychology 55, no. 1 (2004): 591-621.

 |  
| 4  | Apr 23  
Tuesday  | Topic Modeling for the Social Sciences  
[[slides](http://web.stanford.edu/class/cs224c/slides/s5_topic_modeling.pdf)]  |  **Optional Reading:**
  * Blei, David M., Andrew Y. Ng, and Michael I. Jordan. ["Latent dirichlet allocation."](https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf) Journal of machine Learning research 3, no. Jan (2003): 993-1022.
  * Ramage, Daniel, Evan Rosen, Jason Chuang, Christopher D. Manning, and Daniel A. McFarland. ["Topic modeling for the social sciences."](http://vis.stanford.edu/files/2009-TopicModels-NIPS-Workshop.pdf) In NIPS 2009 workshop on applications for topic models: text and beyond, vol. 5, no. 27, pp. 1-4. 2009.

💻 **Homework 2** [[Colab Notebook](https://canvas.stanford.edu/courses/190629/files?preview=13409907)]   |  
| 4  | Apr 25  
Thursday  | Network and Social Media  
[[Group Presentation slides](http://web.stanford.edu/class/cs224c/slides/Week%204%20Reading.pdf)]  |  **Required Reading:**
  * Nilforoshan, Hamed, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, and Jure Leskovec. ["Human mobility networks reveal increased segregation in large cities."](https://www.nature.com/articles/s41586-023-06757-3) Nature 624, no. 7992 (2023): 586-592.
  * Cinelli, Matteo, Gianmarco De Francisci Morales, Alessandro Galeazzi, Walter Quattrociocchi, and Michele Starnini. ["The echo chamber effect on social media."](https://www.pnas.org/doi/10.1073/pnas.2023301118) Proceedings of the National Academy of Sciences 118, no. 9 (2021): e2023301118.

🗓**Project proposal due**  |  
| 5  | Apr 30  
Tuesday  | Word Embeddings and Representation  
[[slides](http://web.stanford.edu/class/cs224c/slides/s6_word_embedding.pdf)]  |  **Optional Reading:**
  * Garg, Nikhil, Londa Schiebinger, Dan Jurafsky, and James Zou. ["Word embeddings quantify 100 years of gender and ethnic stereotypes."](https://www.pnas.org/doi/10.1073/pnas.1720347115) Proceedings of the National Academy of Sciences 115, no. 16 (2018): E3635-E3644.

 |  
| 5  | May 2  
Thursday  | 🔥 Project Pitch Session  | 📂**Project proposal grade out**  |  
| 6  | May 7  
Tuesday  | Group Presentation + Guest Lecture: [Dr. Kristina Gligoric](https://kristinagligoric.github.io/)   
[[Group Presentation slides](http://web.stanford.edu/class/cs224c/slides/Racism%20is%20a%20virus.pdf)]  |  **Required Reading:**
  * Chandrasekharan, Eshwar, Umashanthi Pavalanathan, Anirudh Srinivasan, Adam Glynn, Jacob Eisenstein, and Eric Gilbert. ["You can't stay here: The efficacy of reddit's 2015 ban examined through hate speech."](https://dl.acm.org/doi/pdf/10.1145/3134666) Proceedings of the ACM on human-computer interaction 1, no. CSCW (2017): 1-22.
  * He, Bing, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, and Srijan Kumar. ["Racism is a virus: Anti-Asian hate and counterspeech in social media during the COVID-19 crisis."](https://dl.acm.org/doi/pdf/10.1145/3487351.3488324) In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 90-94. 2021.

**Optional Reading:**
  * ElSherief, Mai, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, and Diyi Yang. ["Latent Hatred: A Benchmark for Understanding Implicit Hate Speech."](https://aclanthology.org/2021.emnlp-main.29.pdf) In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 345-363. 2021.
  * Wright, Austin P., Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, and Diyi Yang. ["RECAST: Enabling user recourse and interpretability of toxicity detection models with interactive visualization."](https://dl.acm.org/doi/pdf/10.1145/3449280) Proceedings of the ACM on Human-Computer Interaction 5, no. CSCW1 (2021): 1-26.
  * Breitfeller, Luke, Emily Ahn, David Jurgens, and Yulia Tsvetkov. ["Finding microaggressions in the wild: A case for locating elusive phenomena in social media posts."](https://aclanthology.org/D19-1176.pdf) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 1664-1674. 2019.

💻 **Homework 3**  |  
| 6  | May 9  
Thursday  | Fake News and Misinformation (1)  
[[Group Presentation slides](http://web.stanford.edu/class/cs224c/slides/Fake%20News%20and%20Misinformation%20.pdf)]  |  **Required Reading:**
  * Prochaska, Stephen, Kayla Duskin, Zarine Kharazian, Carly Minow, Stephanie Blucker, Sylvie Venuto, Jevin D. West, and Kate Starbird. ["Mobilizing manufactured reality: how participatory disinformation shaped deep stories to catalyze action during the 2020 US Presidential election."](https://dl.acm.org/doi/pdf/10.1145/3579616) Proceedings of the ACM on human-computer interaction 7, no. CSCW1 (2023): 1-39.
  * Arechar, Antonio A., Jennifer Allen, Adam J. Berinsky, Rocky Cole, Ziv Epstein, Kiran Garimella, Andrew Gully et al. ["Understanding and combatting misinformation across 16 countries on six continents."](https://www.nature.com/articles/s41562-023-01641-6) Nature Human Behaviour 7, no. 9 (2023): 1502-1513.

**Optional Reading:**
  * Vosoughi, Soroush, Deb Roy, and Sinan Aral. ["The spread of true and false news online."](https://www.science.org/doi/10.1126/science.aap9559) Science 359, no. 6380 (2018): 1146-1151.

 |  
| 7  | May 14  
Tuesday  | Deep Learning for CSS  
[[slides](http://web.stanford.edu/class/cs224c/slides/s7_deep_learning_css.pdf)]  | 🗓**Project midway report due**  |  
| 7  | May 16  
Thursday  | Fake News and Misinformation (2)  
[[Group Presentation slides](http://web.stanford.edu/class/cs224c/slides/Fake%20News%20and%20Misinformation%20\(2\).pdf)]  |  **Required Reading:**
  * Roozenbeek, Jon, Sander Van Der Linden, Beth Goldberg, Steve Rathje, and Stephan Lewandowsky. ["Psychological inoculation improves resilience against misinformation on social media."](https://www.science.org/doi/10.1126/sciadv.abo6254) Science Advances 8, no. 34 (2022): eabo6254.
  * Groh, Matthew, Ziv Epstein, Chaz Firestone, and Rosalind Picard. ["Deepfake detection by human crowds, machines, and machine-informed crowds."](https://www.pnas.org/doi/10.1073/pnas.2110013119) Proceedings of the National Academy of Sciences 119, no. 1 (2022): e2110013119.

 |  
| 8  | May 21  
Tuesday  | Open Questions in CSS  
[[slides](http://web.stanford.edu/class/cs224c/slides/s8_openqs_css.pdf)], Prejudice and Stigma  
[[Group Presentation slides](http://web.stanford.edu/class/cs224c/slides/Prejudice%20and%20Stigma.pdf)]  |  **Required Reading:**
  * Voigt, Rob, Nicholas P. Camp, Vinodkumar Prabhakaran, William L. Hamilton, Rebecca C. Hetey, Camilla M. Griffiths, David Jurgens, Dan Jurafsky, and Jennifer L. Eberhardt. ["Language from police body camera footage shows racial disparities in officer respect."](https://www.pnas.org/doi/10.1073/pnas.1702413114) Proceedings of the national Academy of sciences 114, no. 25 (2017): 6521-6526.
  * Cai, Erica, Ankita Gupta, Katherine Keith, Brendan O'Connor, and Douglas R. Rice. [""Let Me Just Interrupt You": Estimating Gender Effects in Supreme Court Oral Arguments."](https://osf.io/4dngy/download) SocArxiv (2023).

**Optional Reading:**
  * Bertrand, Marianne, and Sendhil Mullainathan. ["Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination."](https://cos.gatech.edu/facultyres/Diversity_Studies/Bertrand_LakishaJamal.pdf) American economic review 94, no. 4 (2004): 991-1013.
  * MacNell, Lillian, Adam Driscoll, and Andrea N. Hunt. ["What’s in a name: Exposing gender bias in student ratings of teaching."](https://www.usna.edu/FEC/_files/documents/4th_Annual_Conference/Sproles/MacNell_et_al_2015_Gender_equity_article.pdf) Innovative Higher Education 40, no. 4 (2015): 291-303.
  * Tang, Shiliang, Xinyi Zhang, Jenna Cryan, Miriam J. Metzger, Haitao Zheng, and Ben Y. Zhao. ["Gender bias in the job market: A longitudinal analysis."](https://dl.acm.org/doi/pdf/10.1145/3134734) Proceedings of the ACM on Human-Computer Interaction 1, no. CSCW (2017): 1-19.

💻 **Homework 4**  
 |  
| 8  | May 23  
Thursday  | Causal Inference  
[[slides](http://web.stanford.edu/class/cs224c/slides/s9_causal_inference%20\(1\).pdf)]  |  **Optional Reading:**
  * Justin Grimmer, 2015. ["We’re All Social Scientists Now: How Big Data, Machine Learning, and Causal Inference Work Together."](https://www.cambridge.org/core/services/aop-cambridge-core/content/view/34F3B787525ED8289185C4CFB775376C/S1049096514001784a.pdf/we-are-all-social-scientists-now-how-big-data-machine-learning-and-causal-inference-work-together.pdf) PS: Political Science & Politics.

05/24: Course withdrawal deadline 📂 **05/23: Project midway grade out**  |  
| 9  | May 28  
Tuesday  | Prosocial Behavior  
[[Group Presentation slides](http://web.stanford.edu/class/cs224c/slides/Prosocial%20Presentation.pdf)]  |  **Required Reading:**
  * Sharma, Ashish, Inna W. Lin, Adam S. Miner, David C. Atkins, and Tim Althoff. ["Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support."](https://www.nature.com/articles/s42256-022-00593-2) Nature Machine Intelligence 5, no. 1 (2023): 46-57.
  * Argyle, Lisa P., Christopher A. Bail, Ethan C. Busby, Joshua R. Gubler, Thomas Howe, Christopher Rytting, Taylor Sorensen, and David Wingate. ["Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale."](https://www.pnas.org/doi/full/10.1073/pnas.2311627120) Proceedings of the National Academy of Sciences 120, no. 41 (2023): e2311627120.

**Optional Reading:**
  * Ziems, Caleb, Minzhi Li, Anthony Zhang, and Diyi Yang. ["Inducing Positive Perspectives with Text Reframing."](https://aclanthology.org/2022.acl-long.257.pdf) In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 3682-3700. 2022.
  * Wang, Yi-Chia, Robert Kraut, and John M. Levine. ["To stay or leave? The relationship of emotional and informational support to commitment in online health support groups."](https://dl.acm.org/doi/pdf/10.1145/2145204.2145329) In Proceedings of the ACM 2012 conference on computer supported cooperative work, pp. 833-842. 2012.
  * Li, Mingyang, Louis Hickman, Louis Tay, Lyle Ungar, and Sharath Chandra Guntuku. ["Studying politeness across cultures using English Twitter and Mandarin Weibo."](https://dl.acm.org/doi/pdf/10.1145/3415190) Proceedings of the ACM on Human-Computer Interaction 4, no. CSCW2 (2020): 1-15.
  * Danescu-Niculescu-Mizil, Cristian, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, and Christopher Potts. ["A computational approach to politeness with application to social factors."](https://aclanthology.org/P13-1025.pdf) In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 250-259. 2013.

 |  
| 9  | May 30  
Thursday  | LLMs and Social Behaviors  
[[Group Presentation slides](http://web.stanford.edu/class/cs224c/slides/\[CS224C\]%20LLMs%20and%20Social%20Behaviors.pdf)]  |  **Required Reading:**
  * Park, Joon Sung, Joseph O'Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. ["Generative agents: Interactive simulacra of human behavior."](https://dl.acm.org/doi/pdf/10.1145/3586183.3606763) In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, pp. 1-22. 2023.
  * Chuang, Yun-Shiuan, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, and Timothy T. Rogers. ["Simulating Opinion Dynamics with Networks of LLM-based Agents."](https://arxiv.org/pdf/2311.09618.pdf) arXiv preprint arXiv:2311.09618 (2023).

**Optional Reading:**
  * Cheng, Myra, Tiziano Piccardi, and Diyi Yang. ["CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations."](https://aclanthology.org/2023.emnlp-main.669.pdf) In The 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
  * Aher, Gati V., Rosa I. Arriaga, and Adam Tauman Kalai. ["Using large language models to simulate multiple humans and replicate human subject studies."](https://proceedings.mlr.press/v202/aher23a/aher23a.pdf) In International Conference on Machine Learning, pp. 337-371. PMLR, 2023.
  * Shaikh, Omar, Valentino Chai, Michele J. Gelfand, Diyi Yang, and Michael S. Bernstein. ["Rehearsal: Simulating conflict to teach conflict resolution."](https://arxiv.org/pdf/2309.12309.pdf) arXiv preprint arXiv:2309.12309 (2023).
  * Xu, Ruoxi, Yingfei Sun, Mengjie Ren, Shiguang Guo, Ruotong Pan, Hongyu Lin, Le Sun, and Xianpei Han. ["AI for social science and social science of AI: A survey."](https://www.sciencedirect.com/science/article/pii/S0306457324000256) Information Processing & Management 61, no. 3 (2024): 103665.

 |  
| 10  | Jun 4  
Tuesday  | No Class. Work on Final Projects  |   |  
| 10  | Jun 6  
Thursday  | 💥Poster Sessions  | 06/05: Last day of class  |  
|   | Jun 7  
Friday  | 🗓**Final report due**  |   |  
|   |   |   |   |  
## Overview
### Course Info
  * **Class time:** Turing Auditorium, Tuesday/Thursday 4:30 PM - 5:50 PM Pacific Time, from 04/01/2024 to 06/05/2024 with Yang, D. (PI).
  * **Contact** : Students should ask all course-related questions in the Ed Discussion Forum, where you will also find announcements. For personal matters that you don't wish to put in a private post, you can email us at _cs224c-staff@lists.stanford.edu_.


### Office Hours
  * Diyi Yang: Tuesdays 3:00-4:00pm Pacific Time, Gates 342 or Zoom if needed.
  * Jing Huang: Thursday 2:00-3:00 PM Pacific Time, Gates 3A.
  * Weixin Liang: Monday 9:35-10:35 AM Pacific Time, Packard 353.


### Prerequisites
  * **Completion of CS106B is strictly required. PhD students from other departments are welcome.**


### Academic Accommodations
  * From [Stanford's Office of Accessible Education](https://oae.stanford.edu/faculty-teaching-staff/syllabus-statement):"Students who may need an academic accommodation based on the impact of a disability must initiate the request with the Office of Accessible Education (OAE). Professional staff will evaluate the request with required documentation, recommend reasonable accommodations, and prepare an Accommodation Letter for faculty dated in the current quarter in which the request is being made. Students should contact the OAE as soon as possible since timely notice is needed to coordinate accommodations. The OAE is located at 563 Salvatierra Walk (phone: 723-1066, URL: <http://oae.stanford.edu>). "
  * If you need an academic accommodation based on a disability, you should initiate the request with the [OAE](https://oae.stanford.edu/accommodations/academic-accommodations) before the end of the second week of classes. 


### Well-Being, Stress Management, & Mental Health
  * If you are experiencing personal, academic, or relationship problems and would like someone to talk to, reach out to the Counseling and Psychological Services (CAPS) on campus. CAPS is the university’s counseling center dedicated to student mental health and wellbeing. Phone assessment appointments can be made at CAPS by calling 650-723- 3785, or by accessing the VadenPatient portal through the Vaden website. For more information, visit: <https://vaden.stanford.edu/caps-and-wellness>.


## Previous offerings
Below you can find archived websites from previous years.   
|  **CS224C Websites** : [Winter 2023](http://web.stanford.edu/class/cs224c/winter2023/winter2023.html)  |  
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