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 6 through February 26)

Thursday, February 6

  • 3:00 PM
    IS&T RCS Tutorial - Creating Pretty Documents using R Markdown and Quarto (Hands-on)
    R Markdown is a powerful tool that helps produce elegantly formatted documents. In this tutorial, we will learn how to use the rmarkdown, ggplot2, and kable packages, as well as their extensions to develop reports that include code, graphics, and tables. We will cover various options to customize code chunks, figures, and tables and go…

Friday, February 7

Monday, February 10

  • 10:00 AM
    IS&T RCS Tutorial - Introduction to Julia (Hands-on)
    Julia is a high-performance programming language, but with many features more common to lower performance interpreted languages. Many of its features are well suited for numerical analysis and computational science, with functions and syntax that are built around supporting this. This tutorial presents an introduction via solving hands-on example problems; this motivates the syntax/tools in…
  • 1:00 PM
    IS&T RCS Tutorial - GIS Using R: arcgis (Hands-on)
    The R arcgis library is part of ESRI's R-ArcGIS Bridge toolbox that allows one to interact with ArcGIS Online services within an R environment. This enables one to load data hosted on ArcGIS Online into an sf object within your R environment. Create GIS data using sf in your R environment and then publishing that…

Tuesday, February 11

  • 10:00 AM
    IS&T RCS Tutorial - Introduction to GRASS GIS Processing Engine (Hands-on)
    This tutorial will introduce participants into the fundamentals of processing geospatial data using the GRASS GIS engine. We will cover the basics of GRASS GIS, ingesting data into a new project, and visualizing spatial data in a Jupyter Notebook. We will work through a focused example—a viewshed analysis case study—where we will compute and evaluate…
  • 1:00 PM
    IS&T RCS Tutorial - Deep Learning with PyTorch, Part One (Hands-on)
    This is the first part of a two-part tutorial on PyTorch. Be sure to also register for Part Two on Thursday, February 13, from 1 PM to 3 PM to continue building your knowledge. What to Expect: This session introduces PyTorch, a popular and versatile Python library for deep learning, optimized for acceleration processing using…

Wednesday, February 12

  • 9:00 AM
    BU Faculty and Staff Event: Federal Outlook for Research Under the New Administration and Congress
    BU faculty and staff are invited to participate in a webinar with federal policy experts to learn about the research priorities of the new White House administration and strategies for positioning your research in this new environment. The session will feature Vice President for Federal Relations Jennifer Grodsky and Naomi Webber and Eve Granatosky from…
  • 1:00 PM
    Weekly AIR Seminar 02/12
    Speaker: Keanu Nichols, PhD Student at Boston University (CAS) Talk Title: Multi-domain Analysis and Generalization of Image manipulation loCalization Abstract: Advanced image editing software enables easy creation of highly convincing image manipulations, which has been made even more accessible in recent years due to advances in generative AI. Manipulated images, while often harmless, could spread…
  • 2:30 PM
    IS&T RCS Tutorial - Data Preparation for Neuroimagers: BIDS, mriqc, and fmriprep (Hands-on)
    This tutorial will introduce Boston University’s Shared Computing Cluster (SCC) for use with Magnetic Resonance (MR) neuroimaging methods focusing on data preparation. We will work hands-on with the SCC to highlight the neuroimaging tools available on the SCC for importing, organizing, assessing the quality of, and preprocessing neuroimaging data. Software covered will include dcm2bids, MRIQC,…

Thursday, February 13

Friday, February 14

  • 2:00 PM
    NECST Lab Visit: Heterogeneous Systems, Hardware Acceleration, and More; Politecnico di Milano
    The NECSTLab is a laboratory inside DEIB department of Politecnico di Milano (Dipartimento di Elettronica, Informazione e Bioingegneria). It is a place where research meets teaching, and teaching meets research, also through academics and industrial events. At NECSTLab, we perceive that a close connection between research and education must be pursued to prepare our students…
  • 2:30 PM
    IS&T RCS Tutorial - Python for Data Analysis (Hands-on)
    This tutorial will introduce the basics of Data Analysis with Python and its powerful libraries such as Pandas and Matplotlib. What you will learn: Importing and Exporting the data Basic data processing, cleaning, and manipulation Basic inferential statistical analysis Data Visualization techniques

Tuesday, February 18

Wednesday, February 19

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

Wednesday, February 26

  • 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…

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