Research Portfolio Analysis: Network Analysis
Train your team on your schedule. Contact us to book your training.
Research Portfolio Analysis: Network Analysis covers an introduction to network analysis, including an overview of types of network analysis relevant to research portfolios. We cover topics including the methods available to perform network analysis, selecting an appropriate method, and how to apply the different methods available to deepen understanding of the research portfolios in which you’re interested.
While no prerequisite is required for this class, we do recommend this course be taken following Research Portfolio Analysis: Framework & Design and Research Portfolio Analysis: Project Management.
Analytic teams are as diverse as the portfolios they manage. We customize our training to address the needs of your team and the projects they are working on.
Understand artificial intelligence (AI) and how machine learning (ML) is involved in AI
Understand the gold standard in AI and why it is so important
Determine which software to use for ML based on your inputs (data and training set)
Discuss ML confidently with peers and provide an assessment of the ethical concerns involved
Assess your ML outputs and the reliability of the product
The Analytics Research Institute Cancellation Policy
If a paid registrant cancels prior to an event, The ARI will issue a 100% registration credit that can be used within 12 months of the date of the event by anyone at the registering organization. Requests for cancellation must be emailed to firstname.lastname@example.org at least one week prior to the start of the event.
At an in-person event, credits will not be issued for no-shows or for cancellations made within one week of the start of the event.
If The ARI cancels or postpones an event, The ARI will automatically issue a 100% registration credit that can be used within 12 months of the date of the event by anyone at the organization, and may be used toward any ARI event, service, or product.
Heather joined the ARI in 2021 with extensive basic research experience in cell biology, microbiology, and infectious diseases. Previously Heather was a postdoctoral research fellow at Massachusetts General Hospital and Harvard Medical School, where she studied the molecular mechanisms of bacterial pathogenesis. She is excited to use her experience in research and funding mechanisms to serve a broader role in supporting research in the life sciences.
Heather holds a Ph.D. in Biochemistry and Molecular Biology from the University of California, San Francisco, and a B.S. in Molecular Biology from the University of California, San Diego.