From: Msegradstudent-list <msegradstudent-list-bounces@ecn.purdue.edu> on behalf of Maddison DeLaney Walsh <mhoverm@purdue.edu>
Sent: Monday, August 5, 2024 1:23 PM
To: faculty-list <msefaculty-list@ecn.purdue.edu>; 'mseundergrads-list@ecn.purdue.edu' <mseundergrads-list@ecn.purdue.edu>; 'msegradstudent-list@ecn.purdue.edu' <msegradstudent-list@ecn.purdue.edu>; 'msepostdoc-list@ecn.purdue.edu' <msepostdoc-list@ecn.purdue.edu>
Subject: [msegradstudent-list] Workshop on FAIR workflows - Purdue University - Aug. 13-14

Maddi Walsh

Senior Administrative Assistant
School of Materials Engineering

Neil Armstrong Hall of Engineering
Office: 765-496-0460

From: Strachan, Alejandro H <strachan@purdue.edu>
Sent: Monday, August 5, 2024 1:23 PM
To: Maddison DeLaney Walsh <mhoverm@purdue.edu>
Subject: For distribution - Workshop on FAIR workflows - Purdue University - Aug. 13-14

Hi,

Could you forward this to the MSE department, I emailed it but it went to their Junk folders.

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Dear Colleagues,

We are excited about an upcoming hands-on workshop and panel on "FAIR Workflows” to be held at Purdue

on August 13 and 14. Travel support is available and registration (free) is open.

Background

Experimental data analysis and simulation workflows and models are at the core of the daily activities of material researchers and engineers worldwide. Making these workflows and the data they generate findable, accessible, interoperable, and reusable (FAIR) as well as reproducible is critical to accelerate innovation and improve reproducibility. In addition, FAIR workflows and data are crucial to unleashing the power of machine learning and artificial intelligence and accelerating innovation.

Supported by the NSF’s Materials Research Coordinating Network (MaRCN), this workshop will consist of two main activities:

• Hands-on workshops to introduce materials researchers from academia, national labs, and industry to state-of-the-art FAIR workflows.

• Expert panel to discuss state-the-art, gaps, and possible collaborative work to move the community forward.

Please forward this to your group members and encourage their participation. Also, feel free to forward this

to colleagues who might be interested.

Event page and free registration:

Best regards,

KJ, Arun, and Ale

Alejandro Strachan

Reilly Professor of Materials Engineering, Purdue University

Network for Computational Nanotechnology - nanohub.org

Center for Predictive Materials and Devices (c-PRIMED)