Full Calendar

Get the who, what, where, and when of BU research.

This calendar is a round-up of events related to research from around BU. Browse all upcoming events by date, or select an event topic to narrow your search.

All Topics (February 20 through April 30)

Thursday, February 20

• 1:00 PM

  IS&T RCS Tutorial - Machine Learning with Python scikit-learn, Part Two (Hands-on)

  This session was rescheduled from Feb 6 due to technical issues. What to Expect: This session introduces Scikit-Learn, a powerful Python library for machine learning. Scikit-Learn supports supervised and unsupervised learning and offers tools for: Data preprocessing Model fitting Model selection Evaluation And much more Through hands-on exercises with real datasets, you'll learn to develop…

Friday, February 21

• 10:00 AM

  Center for Systems Neuroscience - Test Event

  This is only a test.
• 12:00 PM

  Can Institutional Reforms be Made Meaningful?

  In June, Kenyan president William Ruto published a piece in the International Monetary Fund (IMF)’s flagship magazine headlined “A Consensus is Forming for IMF Reform.” At the time of its publication, Nairobi was engulfed in protest against an IMF-approved tax increase, with tens of thousands of Kenyans refusing the imposition of austerity programs. One could…

Monday, February 24

• 12:00 PM

  Urban Inequalities Workshop

  Presented by Dr. Raquel L. Jimenez, Harvard University: “A Storied City”

Wednesday, February 26

• 12:30 PM

  Queering Repression: How the Global Crackdown on Civil Society Affects LGBT+ NGO Foundings

  Non-governmental organizations (NGOs) emerged over the 20th century to become instrumental aspects of domestic civil society, globally. These organizations are associated with improving many outcomes, such as support for minority populations like LGBT+ communities. Over time, however, a significant number of countries have enacted policies repressing civil society, generally, and LGBT+ organizations, specifically. What effects…
• 2:00 PM

  IS&T RCS Tutorial - Introduction to Data and Code Reproducibility for Researchers (Lecture)

  This tutorial will introduce the idea of reproducibility for scientific analysis, including motivation and practical tips for getting started. While some examples may be given in R with environmental applications, concepts should be applicable to any analysis that depends on data and code. This tutorial will have useful reminders to all skill levels but will…

Thursday, February 27

• 10:00 AM

  IS&T RCS Tutorial - Getting Started with the JMP Student Edition & Data Visualization (Hands-on)

  Getting Started with the JMP Student Edition: Overview of the JMP Student Edition Navigating the interface Basic graphicing and analysis Importing data Saving and reproducting analysises Data Visualization: Drag-and-drop graphing with Graph Builder Creating foundational graph types Visualizing high-dimenional data sets Producing publication-quality graphics
• 1:00 PM

  • Trainings & How-to
  • Featured Events
  • Strategic Communications

  On the Record: Effective Strategies for Elevating Your Expertise Through Successful Media Interviews

  Are you ready to amplify your voice and share your research with the world? Join Mackey Strategies’ Melanie Moran for a dynamic 90-minute workshop where you’ll learn how to confidently navigate media interviews, craft impactful key messages, and engage effectively with journalists to position yourself as a go-to expert in your field. In this interactive…
  
• Public Health Responses in Displacement Crises

  Join BU's Center on Emerging Infectious Diseases and Center on Forced Displacement for a guest lecture with Jeremy Konyndyk. Jeremy Konyndyk is a committed humanitarian advocate and seasoned emergency operator who has served in senior appointments in two U.S. administrations prior to his appointment as President of Refugees International. Between these appointments, he worked as…
• 2:00 PM

  IS&T RCS Tutorial - JMP Linear Modeling & Predictive Modeling and Machine Learning (Hands‐on)

  Linear Modeling: Least squares regression Logistic regression Generalized linear models Mixed models Predictive Modeling and Machine Learning: Common supervised machine learning techniques Automatic model crross-validation Deploying models Deep learning with the Touch add-in