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Blogging academic with an interest in open practice, relevant knowledge and digital skills.
Early adopter and promoter of "emerging technologies" that are the future around us and that might play a role in supporting open learning, including but not limited to virtualised computing environments and reproducible interactive and computational publication workflows and environments.
Advocate of open practice and play based learning, believer in technology enhanced learning but not in the way everyone else seems to define it.
Markel, Scott, Nüst, Daniel, Sochat, Vanessa, Marwick, Ben, Eglen, Stephen J., Head, Tim,Hirst, Tony and Evans, Benjamin D.(2020). Ten simple rules for writing Dockerfiles for reproducible data science. PLOS Computational Biology, 16(11), article no. e1008316.
Wong, Patrick,Donelan, Helen and Hirst, Tony(2020). Understanding and mitigating students’ difficulties in undertaking complex practical activities on their computers. In: 9th eSTEeM Annual Conference, 29-30 Apr 2020, Milton Keynes, England.
Hirst, Anthony John, (1998). Adaptive evolution in static and dynamic environments. PhD thesis The Open University.
Hall, Alan Geoffrey , Wermelinger, Michel,Hirst, Tony and Phithakkitnukoon, Santi (2018). Wide, long, or nested data? Reconciling the machine and human viewpoints. In: Proceedings of the 2018 Conference of the Psychology of Programming Interest Group (PPIG), 5-7 Sep 2018, London.
Hall, Alan Geoffrey , Wermelinger, Michel,Hirst, Tony and Phithakkitnukoon, Santi (2017). Structuring Spreadsheets with the “Lish” Data Model. In: Proceedings of the EuSpRIG 2017 Conference "Spreadsheet Risk Management".
Latif-Shabgahi, G. and Hirst, A. J.(2005). A fuzzy voting scheme for hardware and software fault tolerant systems. Fuzzy Sets and Systems, 150(3) pp. 579–598.
Hopgood, A. A. and Hirst, A. J.(2007). Keeping a distance-education course current through elearning and contextual assessment. IEEE Transactions on Education, 50(1) pp. 85–96.