虽然这个标题可能有点蹭热度，但它确实突显了一个不容忽视的趋势：机器学习正在引领科学研究的新浪潮。新学期伊始，我决定将计算社会科学和因果推断作为我的研究重点，从基础学起。 通过在线搜索Computational Social Science课程大纲，我发现了两个宝贵的资源：纽约州立大学石溪分校的Zhang Yongjun教授和香港科技大学的Zhang Han教授公开的课程大纲。强烈推荐对这些领域感兴趣的友友们去看！同时也推荐这篇：大学数学太痛苦了，为什么我们文科生还要学？由于我先前的研究兴趣集中在认知社会学，而我的导师目前也专注于认知与计算社会学，他鼓励我向领域内的其他专家学习。因此，我就主动出击，给一些人发邮件，寻求如何入门的建议。
以下是一位同样关注认知与计算的社会学教授的建议，借花献佛下：BooksSalganik, M. J. (2019). Bit by bit: Social research in the digital age. Princeton University Press.Lena, J. C., Lizardo, O., McDonnell, T. E., Mische, A., Tavory, I., Wherry, F. F. V., ... & Frye, M. (2019). Measuring culture. Columbia University Press.Zerubavel, E. (1999). Social mindscapes: An invitation to cognitive sociology. Harvard University Press.Strauss, C., & Quinn, N. (1997). A cognitive theory of cultural meaning (Vol. 9). Cambridge University Press.Berger, P. L., & Luckmann, T. (1991). The social construction of reality. Penguin Books.Bail, C. A. (2015). Terrified: How anti-Muslim fringe organizations became mainstream. Princeton University Press.Certeau, M. de. (2011). The practice of everyday life (S. F. Rendall, Trans.; 3rd ed.). University of California Press.Edited VolumesHedström, P., & Bearman, P. (Eds.). (2009). The Oxford handbook of analytical sociology. Oxford University Press.Brekhus, W. H., & Ignatow, G. (Eds.). (2019). The Oxford handbook of cognitive sociology. Oxford University Press.Borch, Christian, and Juan Pablo Pardo-Guerra (eds), The Oxford Handbook of the Sociology of Machine Learning (online edn, Oxford Academic, 20 Nov. 2023), https://doi.org/10.1093/oxfordhb/9780197653609.001.0001Journal ArticlesGuilbeault, D., Baronchelli, A., & Centola, D. (2021). Experimental evidence for scale-induced category convergence across populations. Nature communications, 12(1), 327.Rawlings, C. M., & Childress, C. (2019). Emergent meanings: reconciling dispositional and situational accounts of meaning-making from cultural objects. American Journal of Sociology, 124(6), 1763-1809.Hunzaker, M. F. (2016). Cultural sentiments and schema-consistency bias in information transmission. American Sociological Review, 81(6), 1223-1250.Grimmer, J., Roberts, M. E., & Stewart, B. M. (2021). Machine learning for social science: An agnostic approach. Annual Review of Political Science, 24(1), 395-419.Manning, B. S., Zhu, K., & Horton, J. J. (2024). Automated social science: Language models as scientist and subjects (No. w32381). National Bureau of Economic Research.Goldberg, A., & Singell, M. H. (2023). The Sociology of Interpretation. Annual Review of Sociology, 50.Almaatouq, A., Griffiths, T. L., Suchow, J. W., Whiting, M. E., Evans, J., & Watts, D. J. (2024). Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences. Behavioral and Brain Sciences, 47, e33.Lundberg, I., Brown-Weinstock, R., Clampet-Lundquist, S., Pachman, S., Nelson, T. J., Yang, V., ... & Salganik, M. J. (2024). The origins of unpredictability in life outcome prediction tasks. Proceedings of the National Academy of Sciences, 121(24), e2322973121.McDonnell, T. E., Bail, C. A., & Tavory, I. (2017). A theory of resonance. Sociological theory, 35(1), 1-14.Hunzaker, M. F., & Valentino, L. (2019). Mapping cultural schemas: From theory to method. American Sociological Review, 84(5), 950-981.Molina, M., & Garip, F. (2019). Machine learning for sociology. Annual Review of Sociology, 45(1), 27-45.Kozlowski, A. C., Taddy, M., & Evans, J. A. (2019). The geometry of culture: Analyzing the meanings of class through word embeddings. American Sociological Review, 84(5), 905-949.Boutyline, A., & Soter, L. K. (2021). Cultural schemas: What they are, how to find them, and what to do once you’ve caught one. American Sociological Review, 86(4), 728-758.Arseniev-Koehler, A., & Foster, J. G. (2022). Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat. Sociological methods & research, 51(4), 1484-1539.
