logseq/journals/2023_01_25.md

type:: meeting external-links::
tags:: PROJECTS/PRIN-EMELIOT people:: date:: 25-01-2023 - 14:36 isconsortium:: true location:: Benevento

- # Agenda
	- 13:00-14:00 - Pranzo
	- **14:00-14:15 - Welcome, Intro (Max + Leo)**
	- **14:15-16:00 - S1: Fairness**
		- Fabio (Unisa)
		- Giordano (Univaq)
		- Open discussion: dataset/benchmark per studi su fairness, applicazioni su IoT/chatbots
	- 16.00-16:30 Coffee break
	- **16:30-18:00 - S2: Infrastructure and V&V**
		- Felicien - IoT (Univaq)
		- Fault tree analysis (Unimib, collaboration with Univaq)
		- Dario - MLOps (Unisannio)
		- Open discussion: fault models for ML-Intensive IoT systems V&V di ML-intensive IoT systems
	- 19:30- Social dinner
		- Ristorante Roseto all’Arco - Via Arco Traiano 65, Benevento
-
	- ## Fabio (Unisa)
	  collapsed:: true
		- ![image.png](../assets/image_1674653786031_0.png)
		- ![image.png](../assets/image_1674653888809_0.png)
			- Fairness is context dependent
			  id:: 64459a38-5ae9-4b14-9942-dadf66e8416a
				- ![image.png](../assets/image_1674653921960_0.png){:height 99, :width 519}
				- Fairness is difficult to handle
			- ![image.png](../assets/image_1674653952462_0.png)
			- ![image.png](../assets/image_1674654027056_0.png)
			- ![image.png](../assets/image_1674654101321_0.png)
				- Fairness with an MLOps workflow
					- Mapping study
				- Validate the identified practices with practitioners
				- ![image.png](../assets/image_1674654180358_0.png)
				- Identied fairness practices
					- Le pratiche di fairness riguardano applicazioni di machine learning in diversi ambiti non necessariamente in ambito software development
					- Esempio di practiche
						- ![image.png](../assets/image_1674654339989_0.png)
							- Contesto software engineering
						- ![Screenshot_20230125_144606.png](../assets/Screenshot_20230125_144606_1682509465362_0.png)
							-
								-
							- Contesto ML
							-
						- ![image.png](../assets/image_1674654844982_0.png)
						-
	- ## Giordano (Univaq)
	  collapsed:: true
		- ![image.png](../assets/image_1674655721718_0.png)
		- ![image.png](../assets/image_1674655746329_0.png)
		- ![image.png](../assets/image_1674655771812_0.png)
		- ![image.png](../assets/image_1674655841488_0.png)
		- ![image.png](../assets/image_1674655964885_0.png)
		- ![image.png](../assets/image_1674656022292_0.png)
		- ![image.png](../assets/image_1674656824551_0.png)
		- ![image.png](../assets/image_1674656842175_0.png)
		-
	- ## Felicien (Univaq)
		- [CHESSIoTMBSA.mp4 - Google Drive](https://drive.google.com/file/d/1M6fTsz7-8S4Khe-FAh1Xf4FR0EW6Kde-/view)
	- ## Dario
		- ![image.png](../assets/image_1674665240261_0.png)
		- ![image.png](../assets/image_1674665357123_0.png)
		- ![image.png](../assets/image_1674665502392_0.png)
		  id:: 63d15d8e-aa2b-48e5-8d42-f16974d535fc
		- ![image.png](../assets/image_1674665532208_0.png)
		- ![image.png](../assets/image_1674665583709_0.png)
		- Different kinds of [[PIPELINES]]
			- ![image.png](../assets/image_1674665826909_0.png){:height 313, :width 519}
			- ![image.png](../assets/image_1674665913095_0.png)
				- Platform and Infrastructure layers are impacted by the fact that we have to manage [[PIPELINES]]
			-