The week's events
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Virtual Lunch and Learn & Best Practices in Teaching Virtual Lunch and Learn & Best Practices in Teaching
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May 26, 2021Date:
Wednesday, May 26, 2021 - 12:00pm to 1:00pm
Location:
Zoom
“Recognizing Mental Health Challenges in Students: Using Kognito as a Tool to Start the Conversation”
GTA TCL Lunch and Learn
Addressing mental health is very important for our own well-being. It is also helpful to learn how to acknowledge and recognize students’ mental health challenges to navigate college success and overall personal wellness. For this purpose, we are going to discuss how to use Kognito as a tool to start the conversations about mental health and resources on campus.
Together, we will explore Kognito, an online conversation simulation MSU has adopted. We recommend that you complete the simulation before the session which takes about 40 minutes. Simulation completion is not necessary to join the conversation though. We hope to see many of you there!
Go to https://kognitocampus.com/
Create a New Account
Use Enrollment Key: msuemployee
Follow the on-screen instructions
Choose your simulation and click “LAUNCH”Please Register Here and attend and we will send you slides and other related materials.
Facilitated by the GTA Teaching & Learning Community
Join Zoom Meeting
https://msu.zoom.us/j/732599810 Meeting ID: 732 599 810 Passcode: GTAsTeach
Category:
Professional Development
DEI Town Hall: From Outrage to Action DEI Town Hall: From Outrage to Action
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May 26, 2021Date:
Wednesday, May 26, 2021 - 5:00pm
Location:
Zoom
We invite all members of the MSU community to attend a DEI Town Hall focusing on concerns of Graduate Students and Postdocs from the APIDA/A community, “From Outrage to Action,” held on Wednesday, May 26, 2021 from 5 pm ET via Zoom Webinar.
The Zoom link is here (ID: 994 2443 8402; Password: 378644), with no registration required.
There is an anonymous form for people to submit comments/questions/concerns in advance of the meeting (access here).
PDF Flyer
Category:
Diversity and Inclusion
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Data Ethics in Research Seminar Series Data Ethics in Research Seminar Series
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May 27, 2021Date:
Thursday, May 27, 2021 - 12:00pm to 1:00pm
Location:
Zoom
Good data science practice: moving towards a code of practice for drug development
Dr. Mark Baillie, Novartis, Switzerland
There is growing interest in data science and the challenges that could be solved through its application. The growing interest is in part due to the promise of “extracting value from data”. The pharmaceutical industry is no different in this regard reflected by the advancement and excitement surrounding data science. Data science brings new perspectives, new methods, new skill sets and the wider use of new data modalities. For example, there is a belief that extracting value from data integrated from multiple sources and modalities using advances in statistics, machine learning, informatics and computation can answer fundamental questions. These questions span a variety of themes including: disease understanding (i.e. “precision” medicine, disease endo/pheno-typing, etc.), drug discovery (i.e. new targets and therapies), measurement (i.e. multi-omics, digital biomarkers, software as a medical device, etc.), and drug development (i.e. dose-exposure-response, efficacy, safety, compliance, etc.). By answering these fundamental questions, we can not only increase knowledge and understanding but more importantly inform decision making; accelerating drug and medical device development through data-driven prioritisation, precise measurement, optimised trial design and operational excellence. However, with the promise of data science, there are also a number of obstacles to overcome, especially if data science is to live up to this promise and deliver a positive impact. These obstacles include consensus on a common understanding of the very definition of data science, the relationship between data science and existing fields such as statistics and computing science, what should be involved in the day to day practices of data science, and what is “good” practice. In this talk I will cover some of these issues, with the aim of opening a dialogue on good data science practice in the context of drug development, analogous to guidance such as ICH E8 (International Conference on Harmonisation 2018a) or E9 (International Conference on Harmonisation 2018b).
Registration can be found here: https://cstat.msu.edu/events
Category:
Professional Development
