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Hello, DataViz enthusiasts! We're so glad to be back for another academic year and hope that your Fall term is off to a great start.

In this edition of DataViz News, you will:

Learn about how you can get involved, either as a presenter or as as part of the team.
Meet the DataViz team and welcome our 2024-25 Faculty Liaisons.

Do be sure to mark your calendars and, as always, spread the word about our upcoming Fall DataViz Showcase (details below).

Get Involved

As the semester ramps up, DataViz has several opportunities for you to take an active part in our community.

Submit a proposal. We're actively accepting submissions for our Fall Showcase event. Submission deadline is 11:59 PM, Sunday, September 15, 2024. Click this link to complete the form online.
Join the team. To round out the team, we'd like to welcome 2024-25 Faculty Liaisons to represent the areas below. Interested? Contact Kirsten <krowe@binghamton.edu> for more information.
1. Natural and Health Sciences
2. Humanities
Attend the Showcase. "Save the date" for 11:30 am-2:30 pm, Thursday, October 17, 2024. Click the box at the botttom of the page to register!

Meet the DataViz Team

We are so pleased to introduce our 2024-25 Faculty Liaisons! Here's the team at-a-glance:

Christopher Swift, Faculty Liaison for Fine Arts
Erin Hornbeck, Social Media Manager
Halie Kerns, Liaison for Digital Scholarship
Hiroki Sayama, Faculty Liaison for Mathematics and Engineering
Kirsten Pagan, Lead Organizer
Melissa Haller, Faculty Liaison for Social Sciences

Learn more about each team member below.

Christopher

Christopher Swift is an assistant professor of graphic design in the Department of Art & Design. His research focuses on the role and agency of tools and non-human actors in the design process, explored through Creative Code projects using Processing, P5JS, and other tools common to Data Visualization. Swift’s interest in Data Visualization involves examining how non-human actors influence both the process and the outcomes of visual representation. His design research and works have been shown in galleries and talks internationally.

Erin

Erin Hornbeck is the Administrative Coordinator for the School of Systems Science and Industrial Engineering.

Halie

Halie Kerns is a digital scholarship librarian. Her interest in data visualization started in graduate school while writing a thesis on censorship and cultural trends in young adult literature. Now, in her librarian role, she supports data-driven digital tools for research and pedagogy, including data collection, analysis, visualization, and management. This support includes offering workshops, events, and one-on-one consultations for anyone interested in learning more about data science methods.

Hiroki

Hiroki Sayama is a SUNY Distinguished Professor in the School of Systems Science and Industrial Engineering, the Director of the Systems Science graduate program, and the Director of the Binghamton Center of Complex Systems (CoCo). He works on various interdisciplinary research projects on complex systems modeling and analysis, computational social science, network science, artificial intelligence and artificial life, and other topics. He has been involved in DataViz for many years, especially during the COVID-19 pandemic time when he served on the University's Public Health Advisory Group and helped the University administration through various data visualization, analysis, modeling and simulation projects. His weekly COVID-19 activity visualizations became rather popular on social media during the pandemic, some of which were picked up and used by international media like BBC and WELT.

Kirsten

Kirsten Pagan is the Student Engagement Analyst in the office of Student Affairs Assessment and Solutions for Engagement (SAASE) where she was first introduced to data visualization in the form of infographics as a medium through which to convey data to her colleagues. Since then, her interests have expanded to include the work of data humanists, such as Giorgia Lupi. Most recently, Kirsten has begun to learn and use R to analyze data and looks forward to delving more specifically into the ggplot package for creating visualizations.

Melissa

Melissa Haller is an Instructor and the Undergraduate Director of the Digital and Data Studies program. At Binghamton, her courses are focused on data analysis and visualization, mapping and geospatial analysis, and critical data studies. A geographer by training, Melissa's research has primarily focused on regional economic development and innovation in Upstate NY. Melissa has always been interested in using data visualization as a tool to make data-driven work engaging and accessible, and is excited to be a part of the Data Viz Interest Group this year.

Save the Date!

Our Fall Showcase event will be held on Thursday, October 17, 2024. Be sure to mark your calendars now as you won't want to miss the opportunity to support your fellow dataviz practitioners and engage in some "old fashioned" colleague-to-colleague networking!

EVENT

DataViz Showcase: Fall 2024

Thursday, October 17
11:30am - 2:30pm

Private Location (sign in to display)

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Join us for an afternoon of data visualization project presentations and networking. This is a "come as you can" event. Light refreshments will be served. Thanks to our co-sponsors: Data Science TAE, Binghamton University Libraries.

Agenda:

11:30-11:50 am - Welcome & open networking
11:50 am-12:10pm - FIFA Football Analytics by Sivasai Atchyut Akella (Computer Science)
12:10-12:30 pm - Unsupervised embedding of trajectories captures the latent structure of scientific migration by Sadamori Kojaku (SSIE)
12:30-12:50 pm - High-resolution agent-based modeling of campus population behaviors for pandemic response planning by Hiroki Sayama (SSIE)
12:50-1:10 pm - Break & open networking
1:15-1:35 pm - 3D Thermal Mapping the Binghamton University Campus by Thomas Pingel (Geography)
1:35-1:55 pm - Data Portraits with Dear Data Binghamton by Halie Kerns (Libraries: Digital Scholarship)
1:55-2:30 pm - DIY data portrait activity with Halie Kerns

If you would like to attend virtually, please register to access the Zoom link. On the day of the event, be sure to first log-in to Zoom and then click the event link.

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