We asked each organizer/presenter to suggest 3-5 references for attendees.
Only 1-2 could be the presenters' own work :).

An introduction to Data Science with CODAP [textbook]. Published by eeps media with bookdown. https://codap.xyz/awash/ 

Aridor, K., Dvir, M., Tsybulsky, D., & Ben-Zvi, D. (2023). Living the DReaM: The interrelations between statistical, scientific and nature of science uncertainty articulations through citizen science. Instructional Science, 1-34.

Ben-Zvi, D., Makar, K., & Garfield, J. (Eds.) (2018). International handbook of research in statistics education (Springer international handbooks of education series). Springer.

Biehler, R., Budde, L., Frischemeier, D., Heinemann, B., Podworny, S., Schulte, C., & Wassong, T. (2018). Paderborn symposium on data science education at school Level 2017: The collected extended abstracts. Universitätsbilbiothek Paderborn. https://doi.org/http://doi.org/10.17619/UNIPB/1-374 

Cleveland, W. S. (2001). Data science: an action plan for expanding the technical areas of the field of statistics. International Statistical Review, 69(1), 21-26.

D'ignazio, C., & Klein, L. F. (2020). Data feminism. MIT press.

Donoho, D. (2017). 50 Years of Data Science. Journal of Computational and Graphical Statistics, 26(4), 745-766. https://doi.org/10.1080/10618600.2017.1384734 

Dvir, M., & Ben‐Zvi, D. (2022). Students' actual purposes when engaging with a computerized simulation in the context of citizen science. British Journal of Educational Technology, 53(5), 1202-1220.

Engel, J. (2017). Statistical Literacy for active Citizenship: A Call for Data Science Education. Statistics Education Research Journal, 16(1), 44-49.

Finzer, W. (2013). The data science education dilemma. Technology Innovations in Statistics Education, 7(2).

Garfield, J., & Ben-Zvi, D. (2008). Developing students’ statistical reasoning: connecting research and teaching practice. Springer.

Lee, V. R., & Wilkerson, M. (2018). Data use by middle and secondary students in the digital age: A status report and future prospects. Commissioned Paper for the National Academies of Sciences, Engineering, and Medicine, Board on Science Education, Committee on Science Investigations and Engineering Design for Grades 6-12. Washington, D.C

Nolan, D., & Temple Lang, D. (2010). Computing in the statistics curricula. The American Statistician, 64(2), 97-107.

Philip, T. M., Schuler-Brown, S., & Way, W. (2013). A framework for learning about big data with mobile technologies for democratic participation: Possibilities, limitations, and unanticipated obstacles. Technology, Knowledge and Learning, 18, 103-120.

Podworny S., Fleischer, Y., Stroop, D. & Biehler R. (2022). An example of rich, real and multivariate survey data for use in school. Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Bozen-Bolzano, Italy. hal-03751842

Podworny, S., Frischemeier, D. & Biehler, R. (2022). Civic Statistics for Prospective Teachers: Developing Content and Pedagogical Content Knowledge Through Project Work. In: Ridgway, J. (Eds), Statistics for Empowerment and Social Engagement. Springer, Cham. https://doi.org/10.1007/978-3-031-20748-8_15 

Ridgway, J. (2016). Implications from the data revolution for statistics education. International Statistical Review, 84(3), 528–549. https://doi.org/10.1111/insr.12110

Rubel, L. H., Hall-Wieckert, M., & Lim, V. Y. (2016). Teaching mathematics for spatial justice: Beyond a victory narrative. Harvard Educational Review, 86(4), 556-579.

Rubin, A. (2020). Learning to reason with data: How did we get here and what do we know? Journal of the Learning Sciences, 29(1), 154-164.

Wild, C.J., & Pfannkuch, M. (1999). Statistical thinking in empirical enquiry. International Statistical Review, 67(3), 223–265.

Wilkerson, M. H., & Polman, J. L. (2020). Situating data science: Exploring how relationships to data shape learning. Journal of the Learning Sciences, 29(1), 1-10.

Wise, A. F. (2020). Educating Data Scientists and Data Literate Citizens for a New Generation of Data. Journal of the Learning Sciences, 29(1), 165-181