#  New Training Opportunities! Recorded NCURA Webinars 

 





December 19, 2023

 

 

 Dear Research Administrators,

 We wanted to take a moment to let you know about the new online training opportunities.

###  [NCURA Recorded Webinar: NIH Data Management & Sharing Policy Budgeting and Application Tips and Tricks (or Treat?)](https://trainingportal.harvard.edu/Saba/Web_spf/NA1PRD0068/common/leclassview/dowbt000000000023701) (recorded 10/30/23) 

 **Description:** This recorded webinar covers the new NIH Data Management and Sharing (DMS) Policy, effective on January 25, 2023, requires a Data Management and Sharing Plan (DMS Plan) for ALL NIH-funded projects that generate scientific data. Join us for a discussion of strategies to support researchers in confidently navigating the requirements of this new policy and opportunities to optimize the efficiency of institutional processes while maintaining compliance. We will also discuss common costs associated with data management and sharing activities and approaches for working with researchers to develop realistic budgets for implementing their DMS Plans.  
**Audience**: Research Administrators  
**Course Length**: 2.5 hours

 **Registration:** Please [register through the Harvard Training Portal](https://trainingportal.harvard.edu/Saba/Web_spf/NA1PRD0068/common/leclassview/dowbt000000000024281).

 For questions, please email Christyne Anderson at [christyne\_anderson@harvard.edu](mailto:christyne_anderson@harvard.edu).

###  [NCURA Recorded Webinar: AI in Research Administration: Unlocking Efficiency and Innovation](https://trainingportal.harvard.edu/Saba/Web_spf/NA1PRD0068/common/leclassview/dowbt000000000023701) (recorded 11/28/23)

 **Description:** This recoreded webinar explores the integration of Artificial Intelligence (AI) in Research Administration. The instructors delve into the profound implications and applications of AI, guided by experts well-versed in its nuances.  
AI is not just a buzzword but a game-changer. Explore, discuss, and connect with your colleagues. AI in Research Administration is a key to unlocking efficiency and innovation, and this session will explore how we got here, the legal and ethical considerations, how we can leverage these tools to enhance our work and take time to share and connect during the After the Show.  
Learning Objectives:

- Understand the fundamentals of artificial intelligence (AI) and its historical development.
- Recognize the legal considerations and ethical challenges associated with implementing AI in research administration.
- Explore how research administrators leverage AI tools and techniques to enhance their work processes.
- Gain insights into the future of AI in research administration, including emerging trends and potential impacts.
- Engage in a Q&A session to address specific concerns and foster knowledge sharing among participants.

 **Audience**: Research Administrators  
**Course Length**: 2.5 hours

 **Registration:** Please [register through the Harvard Training Portal](https://trainingportal.harvard.edu/Saba/Web_spf/NA1PRD0068/common/leclassview/dowbt000000000024274).

 For questions, please email Christyne Anderson at [christyne\_anderson@harvard.edu](mailto:christyne_anderson@harvard.edu).

###