Love Data Week Events
Love Data Week Events
Join us for Love Data Week Events!
Love Data Week is just around the corner, and we're excited to share the schedule of events for the week of
February 10-14. We hope you can join us for a week filled with excitement, knowledge-sharing, and, of course, lots of fun with all things data!
Here's a quick rundown of what's in store for the week. Session details, including times and speakers, can be found here. (Note: Advanced registration is required.)
Navigating the Future: Careers in Data
Date/Time:
Monday, February 10th at 8 am PT/10 am CT/11 am ET
Session Description:
Join us for an insightful panel discussion on careers in data, where leaders across the Big Ten Academic Alliance share their experiences and insights into the world of data. This session will include a range of topics, including career pathways, skills and education, and emerging trends.
Whether you’re a student, a professional looking to transition into the data field, or an experienced data practitioner, this panel will provide valuable insights and practical advice to help you navigate a career in data.
Speakers:
Laura Guertin, Penn State University
Michele Hansen, The Ohio State University
Jesse Klein, University of Maryland
Moderator:
Andrew Wilson, University of Minnesota
Building a Resume in Tableau
Date/Time
Monday, February 10th at 10 am PT/12 pm CT/ 1 pm ET
Please note that this session will last 90 minutes.
Session Description:
In today's competitive job market, a well-crafted resume can make all the difference. Join us for an engaging, hands-on session on "Building a Resume in Tableau," where you'll learn how to leverage Tableau's powerful data visualization tools to create a standout resume that showcases your skills and experiences in a visually compelling way.
Pre-work, such as creating an account to access Tableau software, will be required. Pre-work should take 30 minutes. Registration is limited to 20 people.
Speaker:
Maureen Henry, The Ohio State University
Strategies for Success in Survey Administration
Date/Time:
Tuesday, February 11th at 7 am PT/9 am CT/10 am ET
Session Description: Struggling with how to create a survey, manage survey fatigue, or wrangle survey data into actionable information? Our panel of experts will address these issues in a one-hour conversation.
Speakers:
Betty Harper, Penn State University
Sara Lazenby, University of Wisconsin-Madison
Mark Miazga, University of Minnesota
Moderator:
Michelle Appel, University of Maryland
Thinking with Data Visualizations, Fast and Slow
Date/Time:
Tuesday, February 11th at 2 pm PT/4 pm CT/ 5 pm ET
Session Description:
Your visual system evolved and developed to process the scenes, faces, and objects of the natural world. Using that system to process the artificial world of data visualizations is an adaptation that can lead to fast and powerful – or slow and inefficient – visual processing, as we will experience through interactive demonstrations of new research findings on visual capacity limits. Understanding these limits produces guidelines for constructing effective visualizations for both visual analytics and visual communication of patterns in data and explains how display designs and motivated cognition can bias interpretations of those patterns.
Speaker:
Steve Franconeri, Northwestern University
Mastering Data Literacy for Strategic Insights
Date/Time:
Wednesday, February 12th at 7 am PT/9 am CT/10 am ET
Session Description:
In an era where data drives decision-making, understanding how to interpret and utilize data effectively is crucial. Join us for an hour-long session where our panel of experts discuss data literacy at their institutions.
Speakers:
Matt Hodges, Iowa University
Lisa Johnson, University of Wisconsin-Madison
Elysia Wallace, University of Minnesota
Unlocking Insights: Rapid Qualitative Data Analysis with Microsoft Copilot
Date/Time:
Wednesday, February 12th at 11 am PT/1 pm CT/ 2 pm ET
Session Description:
Need to analyze qualitative data quickly and take immediate action? Join us for an exciting workshop where we’ll explore the power of Microsoft Copilot in transforming raw qualitative data into meaningful insights. Whether you’re a seasoned Copilot user or new to qualitative analysis, this session will equip you with the tools and techniques to harness AI for rapid understanding and impactful decision-making.
What to Expect:
- Hands-on Training: Learn about effective prompts that can help you analyze qualitative data using Copilot swiftly and accurately.
- Real-World Examples: See how Copilot has been used to quickly uncover faculty and student perceptions of AI and provide meaningful feedback on faculty development programs.
- Expert Guidance: Benefit from the expertise of our institutional researcher who has successfully leveraged Copilot for fast qualitative insights.
Don’t miss this opportunity to elevate your Copilot skills and discover the potential of AI-powered, rapid qualitative analysis. Register now and take the first step towards unlocking the full potential of your qualitative data!
Note: The title and blurb for this workshop were co-created with Copilot
Speaker: Marissa Green-Francescon, University of Iowa
Influence and Impact: The Keys to Great Data Leadership
Date/Time:
Thursday, February 13th at 12 pm PT//2 pm CT/3 pm ET
Session Description:
Data leadership is key to running a successful organization today, and it isn’t just for data scientists and engineers. Join Professor Joel Shapiro as he shares what “data leadership” really means, why it matters so much right now, and how anyone—even those without a technical background—can step up and become a great data leader.
Speaker: Joel Shapiro, Northwestern University
Data Viz Championship Showcase
Date/Time:
Friday, February 14th at 11 am PT / 1 pm CT/ / 2 pm ET
Please note that this session will last 90 minutes.
Session Description:
Join us at the Data Viz Championship Showcase to witness cutting-edge data visualization entries from Big Ten universities. Be there to discover the Big Ten’s champions!
Presenters: Entrants from across the Big Ten Academic Alliance universities.