1st International EUGAIN Summer Training School

(EUGAIN-STS 2022)

Main:

Albusays, K., Bjorn, P., Dabbish, L., Ford, D., Murphy-Hill, E., Serebrenik, A., & Storey, M. A. (2021). The Diversity Crisis in Software Development. IEEE Software, 38(2), 19-25.
Rodríguez-Pérez, G., Nadri, R., & Nagappan, M. (2021). Perceived Diversity in Software Engineering: A Systematic Literature Review. Empirical Software Engineering, 26(5), 1-38.

Optional:

Happe, L., & Buhnova, B. (2021). Frustrations Steering Women away from Software Engineering. IEEE Software.
Guizani, M., Letaw, L., Burnett, M., & Sarma, A. (2020). Gender Inclusivity as a Quality Requirement: Practices and Pitfalls. IEEE Software, 37(6), 7-11.
Burnett, M., Stumpf, S., Macbeth, J., Makri, S., Beckwith, L., Kwan, I., Peters, A., & Jernigan, W. (2016). GenderMag: A Method for Evaluating Software's Gender Inclusiveness. Interacting with Computers, 28(6), 760-787.

Main:

Guizani, M., Steinmacher, I., Emard, J., Fallatah, A., Burnett, M., & Sarma, A. (2022). How to Debug Inclusivity Bugs? A Debugging Process with Information Architecture. In Proceedings of the 44th International Conference on Software Engineering (ICSE 2022).
Vorvoreanu, M., Zhang, L., Huang, Y. H., Hilderbrand, C., Steine-Hanson, Z., & Burnett, M. (2019). From Gender Biases to Gender-Inclusive Design: An Empirical Investigation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI 2019) (pp. 1-14).

Main:

Dagiene, V., Hromkovic, J., & Lacher, R. (2021). Designing Informatics Curriculum for K-12 Education: From Concepts to Implementations. Informatics in Education, 20(3), 333-360.
Hromkovic, J., Komm, D., Lacher, R., & Staub, J. (2019). Teaching with LOGO Philosophy. Encyclopedia of Education and Information Technologies (pp. 1-9).
Hromkovic, J., & Lacher, R. (2017). The Computer Science Way of Thinking in Human History and Consequences for the Design of Computer Science Curricula. In Proceedings of the International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP 2017) (pp. 3-11).

Optional:

Happe, L., Buhnova, B., Koziolek, A., & Wagner, I. (2021). Effective Measures to Foster Girls’ Interest in Secondary Computer Science Education. Education and Information Technologies, 26(3), 2811-2829.
Morrison, B. B., Quinn, B. A., Bradley, S., Buffardi, K., Harrington, B., Hu, H. H., Kallia, M., McNeill, F., Ola, O., Parker, M., Rosato, J., & Waite, J. (2021). Evidence for Teaching Practices that Broaden Participation for Women in Computing. In Proceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education (pp. 57-131).
Dagiene, V., Hromkovic, J., & Lacher, R. (2020). A Two-Dimensional Classification Model for the Bebras Tasks on Informatics Based Simultaneously on Subfields and Competencies. In Proceedings of the International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP 2020) (pp. 42-54).
Hromkovic, J., Serafini, G., & Staub, J. (2017). XLogoOnline: A Single-Page, Browser-Based Programming Environment for Schools Aiming at Reducing Cognitive Load on Pupils. In Proceedings of the International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP 2017) (pp. 219-231).
Hromkovic, J., & Lacher, R. (2017). How to convince teachers to teach computer science even if informatics was never a part of their own studies. Bulletin of EATCS, 3(123).

Main:

Vinuesa, R., & Sirmacek, B. (2021). Interpretable deep-learning models to help achieve the Sustainable Development Goals. Nature Machine Intelligence, 3(11), 926-926.
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Nerini, F. F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 1-10.

Main:

Gloor, J. L., Gazdag, B. A., & Reinwald, M. (2020). Overlooked or Undercooked?: Critical Review and Recommendations for Experimental Methods in Diversity Research. In Just, S. N., Risberg, A., & Villesèche, F. (Eds.). The Routledge Companion to Organizational Diversity Research Methods, 91-106.
Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2021). A Survey on Bias and Fairness in Machine Learning. ACM Computing Surveys (CSUR), 54(6), 1-35.
Silberg, J., & Manyika, J. (2019). Notes from the AI frontier: Tackling bias in AI (and in humans). McKinsey Global Institute, 1-6.

Gorbacheva, E., Beekhuyzen, J., vom Brocke, J., & Becker, J. (2019). Directions for Research on Gender Imbalance in the IT Profession. European Journal of Information Systems, 28(1), 43-67.
Vainionpää, F., Kinnula, M., Iivari, N., & Molin-Juustila, T. (2019). Girls' Choice - Why Won't They Pick It?. In Proceedings of the 27th European Conference on Information Systems (ECIS).