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+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]]
+				-
+-