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Integrating explanation and prediction in computational social science

Citations

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Cited by:

  1. Oriol J. Bosch & Melanie Revilla, 2022. "When survey science met web tracking: Presenting an error framework for metered data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 408-436, December.
  2. Renáta Németh, 2023. "A scoping review on the use of natural language processing in research on political polarization: trends and research prospects," Journal of Computational Social Science, Springer, vol. 6(1), pages 289-313, April.
  3. repec:osf:socarx:tjkcy_v1 is not listed on IDEAS
  4. Filippo Simini & Gianni Barlacchi & Massimilano Luca & Luca Pappalardo, 2021. "A Deep Gravity model for mobility flows generation," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  5. Gary Charness & Brian Jabarian & John A. List, 2023. "Generation Next: Experimentation with AI," NBER Working Papers 31679, National Bureau of Economic Research, Inc.
  6. Malgorzata J. Krawczyk & Mateusz Libirt & Krzysztof Malarz, 2024. "Analysis of scientific cooperation at the international and intercontinental level," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4983-5002, August.
  7. Cerqua, Augusto & Letta, Marco, 2022. "Local inequalities of the COVID-19 crisis," Regional Science and Urban Economics, Elsevier, vol. 92(C).
  8. Dario Sansone & Anna Zhu, 2023. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 959-992, October.
  9. Evangelos Katsamakas, 2024. "Business models for the simulation hypothesis," Papers 2404.08991, arXiv.org.
  10. Nelson P. Rayl & Nitish R. Sinha, 2022. "Integrating Prediction and Attribution to Classify News," Finance and Economics Discussion Series 2022-042, Board of Governors of the Federal Reserve System (U.S.).
  11. Dehu Yin & Xi Zhang & Hongke Zhao & Li Tang, 2024. "Predicting scholar potential: a deep learning model on social capital features," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(12), pages 7851-7879, December.
  12. Galit Shmueli & David Martens & Jaewon Yoo & Travis Greene, 2025. "From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI," Papers 2505.13324, arXiv.org.
  13. Tavishi Priyam & Tao Ruan & Qin Lv, 2023. "Demographic-Based Public Perception Analysis of Electric Vehicles on Online Social Networks," Sustainability, MDPI, vol. 16(1), pages 1-16, December.
  14. Yan, Jason & Hall, Seventy F. & Sage, Melanie & Du, Yuhao & Joseph, Kenneth, 2024. "A computational social science approach to understanding predictors of Chafee service receipt," Children and Youth Services Review, Elsevier, vol. 158(C).
  15. repec:osf:osfxxx:kaeny_v1 is not listed on IDEAS
  16. Benjamin W. Domingue & Klint Kanopka & Radhika Kapoor & Steffi Pohl & R. Philip Chalmers & Charles Rahal & Mijke Rhemtulla, 2024. "The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items," Psychometrika, Springer;The Psychometric Society, vol. 89(3), pages 1034-1054, September.
  17. Ahmed Abbasi & Jeffrey Parsons & Gautam Pant & Olivia R. Liu Sheng & Suprateek Sarker, 2024. "Pathways for Design Research on Artificial Intelligence," Information Systems Research, INFORMS, vol. 35(2), pages 441-459, June.
  18. Gudergan, Siegfried P. & Moisescu, Ovidiu I. & Radomir, Lăcrămioara & Ringle, Christian M. & Sarstedt, Marko, 2025. "Special issue editorial: Advanced partial least squares structural equation modeling (PLS-SEM) applications in business research," Journal of Business Research, Elsevier, vol. 188(C).
  19. repec:osf:socarx:gydve_v1 is not listed on IDEAS
  20. Xinhua Chai & Qiang Wu, 2025. "What kind of research network configurations lead to high academic productivity for young management scholars?—A fuzzy-set qualitative comparative analysis (fsQCA)," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(5), pages 2705-2748, May.
  21. Ari Hyytinen & Petri Rouvinen & Mika Pajarinen & Joosua Virtanen, 2023. "Ex Ante Predictability of Rapid Growth: A Design Science Approach," Entrepreneurship Theory and Practice, , vol. 47(6), pages 2465-2493, November.
  22. Konrad Turek, 2025. "Accelerating social science knowledge production with the coordinated open-source model," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 767-795, April.
  23. Simon Willcock & Javier Martinez-Lopez & Norman Dandy & James M. Bullock, 2021. "High Spatial-Temporal Resolution Data across Large Scales Are Needed to Transform Our Understanding of Ecosystem Services," Land, MDPI, vol. 10(7), pages 1-6, July.
  24. Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
  25. Islam, Towhidul & Meade, Nigel & Carson, Richard T. & Louviere, Jordan J. & Wang, Juan, 2022. "The usefulness of socio-demographic variables in predicting purchase decisions: Evidence from machine learning procedures," Journal of Business Research, Elsevier, vol. 151(C), pages 324-338.
  26. Miguel G. Folgado & Veronica Sanz, 2022. "Exploring the political pulse of a country using data science tools," Journal of Computational Social Science, Springer, vol. 5(1), pages 987-1000, May.
  27. Xiaoxing Qi & Jialong Xie & Hangyu Huang & Jianchun Li & Wenhua Yuan, 2024. "Reconciling grain production and environmental costs during rural livelihood transitions: a simulation-based approach in southern China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 16(3), pages 781-799, June.
  28. Isabelle Bonhoure & Anna Cigarini & Julián Vicens & Bàrbara Mitats & Josep Perelló, 2023. "Reformulating computational social science with citizen social science: the case of a community-based mental health care research," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
  29. Rory Gibb & Felipe J. Colón-González & Phan Trong Lan & Phan Thi Huong & Vu Sinh Nam & Vu Trong Duoc & Do Thai Hung & Nguyễn Thanh Dong & Vien Chinh Chien & Ly Thi Thuy Trang & Do Kien Quoc & Tran Min, 2023. "Interactions between climate change, urban infrastructure and mobility are driving dengue emergence in Vietnam," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  30. Salomi Samsudeen & Mohammed Hasan Ali & C. Chandru Vignesh & M. M. Kamruzzaman & Chander Prakash & Tamizharasi Thirugnanam & J. Alfred Daniel, 2023. "Context-specific discussion of Airbnb usage knowledge graphs for improving private social systems," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-30, March.
  31. Grossmann, Igor & Rotella, Amanda A. & Hutcherson, Cendri & Sharpinskyi, Konstantyn & Varnum, Michael E. W. & Achter, Sebastian K. & Dhami, Mandeep & Guo, Xinqi Evie & Kara-Yakoubian, Mane R. & Mandel, 2023. "Insights into the accuracy of social scientists' forecasts of societal change," Other publications TiSEM c14f4a4a-b105-46b3-90f7-f, Tilburg University, School of Economics and Management.
  32. Elizabeth Dolan & James Goulding & Harry Marshall & Gavin Smith & Gavin Long & Laila J. Tata, 2023. "Assessing the value of integrating national longitudinal shopping data into respiratory disease forecasting models," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
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