
Sign up to save your podcasts
Or


Listen to this interview of Istvan David, Assistant Professor of Computer Science, Department of Computing and Software, Faculty of Engineering, McMaster University, Canada; and, Houari Sahraoui, Full Professor, Department of Computer Science and Operations Research, University of Montreal, Canada. We talk about their coauthored paper "Digital Twins for Cyber-Biophysical Systems: Challenges and Lessons Learned" (MODELS 2023).
Istvan David : "Making Figure 1, and also all of the text that depends on it——this was one of the hardest parts about writing this paper. I remember, in the very first draft, we had another layer there of abstraction, but we saw that the content was really hard to follow that way. So, for me personally, my takeaway from that process was: Though it made sense to us back then to follow our case-based generalization approach, this just wasn't going to work for a reader who hadn't gone down that exact same research path as us. So, really, you have to mindful of your reader like that."
Learn more about your ad choices. Visit megaphone.fm/adchoices
Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network
By New Books4.3
147147 ratings
Listen to this interview of Istvan David, Assistant Professor of Computer Science, Department of Computing and Software, Faculty of Engineering, McMaster University, Canada; and, Houari Sahraoui, Full Professor, Department of Computer Science and Operations Research, University of Montreal, Canada. We talk about their coauthored paper "Digital Twins for Cyber-Biophysical Systems: Challenges and Lessons Learned" (MODELS 2023).
Istvan David : "Making Figure 1, and also all of the text that depends on it——this was one of the hardest parts about writing this paper. I remember, in the very first draft, we had another layer there of abstraction, but we saw that the content was really hard to follow that way. So, for me personally, my takeaway from that process was: Though it made sense to us back then to follow our case-based generalization approach, this just wasn't going to work for a reader who hadn't gone down that exact same research path as us. So, really, you have to mindful of your reader like that."
Learn more about your ad choices. Visit megaphone.fm/adchoices
Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

3,330 Listeners

3,917 Listeners

314 Listeners

2,118 Listeners

147 Listeners

1,460 Listeners

134 Listeners

1,532 Listeners

181 Listeners

1,590 Listeners

2,380 Listeners

805 Listeners

290 Listeners

16,525 Listeners

347 Listeners