Applied Science Examples

Prenkaj, B., Velardi, P., Distante, D., & Faralli, S. (2020). A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2169–2172.
Essawy, B. T., Goodall, J. L., Voce, D., Morsy, M. M., Sadler, J. M., Choi, Y. D., Tarboton, D. G., & Malik, T. (2020). A taxonomy for reproducible and replicable research in environmental modelling. Environmental Modelling & Software, 104753.
Hao, Q., Smith IV, D. H., Iriumi, N., Tsikerdekis, M., & Ko, A. J. (2019). A Systematic Investigation of Replications in Computing Education Research. ACM Transactions on Computing Education, 19(4), 1–18.
Pouchard, L., Baldwin, S., Elsethagen, T., Jha, S., Raju, B., Stephan, E., Tang, L., & Van Dam, K. K. (2019). Computational reproducibility of scientific workflows at extreme scales. The International Journal of High Performance Computing Applications, 109434201983912.
Govoni, M., Munakami, M., Tanikanti, A., Skone, J. H., Runesha, H. B., Giberti, F., de Pablo, J., & Galli, G. (2019). Qresp, a tool for curating, discovering and exploring reproducible scientific papers. Scientific Data, 6, 190002.
Drummond, C. (2018). Reproducible research: a minority opinion. Journal of Experimental & Theoretical Artificial Intelligence, 30(1), 1–11.
Caldwell, A. R., Vigotsky, A. D., Nuckols, G., Boardley, I. D., Schmidt, J., Tenan, M. S., Skarabot, J., Radel, R., Naughton, M., Schoenfeld, B. J., ..., & Halperin, I. (2018). Moving Sport and Exercise Science Forward: A Call for the Adoption of More Transparent Research Practices.
Fitzpatrick, B. G. (2018). Issues in Reproducible Simulation Research. Bulletin of Mathematical Biology.
Schnell, S. (2018). “Reproducible” Research in Mathematical Sciences Requires Changes in our Peer Review Culture and Modernization of our Current Publication Approach. Bulletin of Mathematical Biology.
Konkol, M., Kray, C., & Pfeiffer, M. (2018). The state of reproducibility in the computational geosciences.
Stodden, V., Seiler, J., & Ma, Z. (2018). An empirical analysis of journal policy effectiveness for computational reproducibility. Proceedings of the National Academy of Sciences, 115(11), 2584–2589.
Barba, L. A., & Thiruvathukal, G. K. (2017). Reproducible Research for Computing in Science & Engineering. Computing in Science & Engineering, 19(6), 85–87.
Marwick, B. (2017). Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation. Journal of Archaeological Method and Theory, 24(2), 424–450.
Madeyski, L., & Kitchenham, B. (2017). Would wider adoption of reproducible research be beneficial for empirical software engineering research? Journal of Intelligent and Fuzzy Systems, 32(2), 1509–1521.
Bajpai, V., Munich, T., Kühlewind, M., Zürich, E., Ott, J., Schönwälder, J., Sperotto, A., & Trammell, B. (2017). Challenges with Reproducibility. Reproducibility Workshop, 1–4.
Fehr, J., Heiland, J., Himpe, C., Saak, J., & 1 Institute of Engineering and Computational Mechanics at the University of Stuttgart, Pfaffenwaldring 9, D-70569 Stuttgart, Germany. (2016). Best practices for replicability, reproducibility and reusability of computer-based experiments exemplified by model reduction software. AIMS Mathematics, 1(3), 261–281.
Marquis, M., Hall, L., Hemami, S., Setti, G., Forster, M., Grenier, G., Zappulla, F., Keaton, J., Mccormick, D., & Moore, K. (2016). Report on the First IEEE Workshop on The Future of Research Curation and Research Reproducibility.
Hanisch, R., Hildreth, M., McEwen, L., Stodden, V., Watts, G., Katz, D. S., Meyers, N., & Sands, A. E. (2016). Final Report: Workshops to Gauge the Impact of Requirements for Public Access to Data Produced by NSF-­‐funded Research in Mathematics and the.
Fraser, D. A. S., Bédard, M., Wong, A., Lin, W., & Fraser, A. M. (2016). Bayes, Reproducibility and the Quest for Truth. Statistical Science, 31(4), 578–590.
Gibb, B. C. (2014). Reproducibility. Nature Chemistry, 6(8), 653–654.
Garijo, D., Kinnings, S., Xie, L., Xie, L., Zhang, Y., Bourne, P. E., & Gil, Y. (2013). Quantifying reproducibility in computational biology: the case of the tuberculosis drugome. PloS One, 8(11), e80278.
Howe, B. (2012). Virtual Appliances, Cloud Computing, and Reproducible Research. Computing in Science & Engineering, 14(4), 36–41.
LeVeque, R. J., Mitchell, I. M., & Stodden, V. (2012). Reproducible research for scientific computing: Tools and strategies for changing the culture. Computing in Science & Engineering, 14(4), 13–17.
Schwab, M., Karrenbach, N., & Claerbout, J. (2000). Making scientific computations reproducible. Computing in Science & Engineering, 2(6), 61–67.