Satellite Paris

November 10-13

Place

Institut des Systèmes Complexes Paris Île-de-France, 113 rue Nationale, 75013, Paris, France

Program

The local program will begin at 9:30 each morning and will feature a meeting with PhD students, panels, paper presentations, and an exciting keynote!

Local program

Time	Tuesday, Nov 10	Wednesday, Nov 11	Thursday, Nov 12	Friday, Nov 13
9:30 - 10:30	Opening	PhD Madness	Poster Viewing	Amphi: Panel: Teaching Vis in the age of AI
				Room 2: Local paper presentations 2

10:30 - 11:00	coffe break	coffe break	coffe break	coffe break
11:00 - 12:00	Amphi: Local Keynote	PhD Madness	Amphi: Panel Visualization Future	Amphi: Townhall: Satellite 2.0
			Room 2: Local paper presentations 1
12:00 - 14:00	lunch	lunch	lunch	lunch

The Keynote

Musical Juggling, Automata and Combinatorics

Can a scientist help a juggler play music? The musical juggling artist Vincent de Lavenère has spent a decade exploring the possibilities and challenges of a novel musical instrument composed of acoustic musical juggling balls that each play a note when caught. In order to train with his team, he needs some form of musical juggling scores. It is known since the 80s that juggling can be modeled by finite automata, but the real-world constraints pose various modelling and human-computer interaction challenges. The presentation is an adaptation from a wide-audience conference/show performed in schools, theaters, and scientific festivals. The goal is to illustrate, from an actual performing artist, the modeling methodology going through simplification, writing, computing, and simulation.

Bio

Trained at the French Conservatoire National des Arts du Cirque, Vincent de Lavenère is a professional juggling artist with the company Chant-de-Balles. He is particularly interested in the interaction between juggling and music. He has created several musical performances, notably Ballade à 4 and Concerto for 4 Jugglers, in which the jugglers produce the music through the very act of juggling.

Florent Hivert is a professor at University Paris-Saclay, specialist in algebraic combinatorics. His research focuses in part on finding concrete models for abstract algebraic computations, taking various forms, such as graphs, puzzles, and even 3D-printed stacks of shapes. He is also deeply involved in science outreach, particularly through his collaboration with Chant-de-Balles.

PhD Morning

Organizer: Nathalie Bressa, Silvia Cazacu PhD students will present their work, followed by a meetup time.

Panel on Visualization Future

Panelists: David Chavalarias, Heike Leitte, Min Chen, and Anastasia Bezerianos
Organizer: Jean-Daniel Fekete

Panel Teaching Vis in the age of AI

Organizer: Vanessa P. Araya, Anastasia Bezerianos

Local Paper Presentations 1 (Thursday morning)

Rita Sevastjanova: Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Exploration, Explanation, and Verification Agents
Nivan Ferreira: A Neural Field-Based Approach for View Computation & Data Exploration in 3D Urban Environments
Kaviru Gunaratne: How Scale Breaks “Normalized Stress” and KL Divergence: Rethinking Quality Metrics

Local Paper Presentations 2 (Friday morning)

Georgia Panagiotidou: Designing Within the Lines: Practitioners’ Perspectives and Visualisation Tool Evaluation in the Arabic Context
Lijie Yao: Diving Deep into Time: Temporal Arrangements for Embedded Visualization in Swimming Videos
Alexis Pister: Designing a Visualization Atlas: Lessons & Reflections from The UK Co-Benefits Atlas for Climate Mitigation

Townhall: Satellite 2.0

We will discuss what went well and did not, townhall style. Please attend and give us your honest feedback.

Streamed program from Boston

Sessions marked with a * contain papers presented from Paris

Time	Tuesday, Nov 10	Wednesday, Nov 11	Thursday, Nov 12	Friday, Nov 13
14:00 - 15:30	Amphi: Opening Keynote	Amphi: Let’s dig into the data*	Amphi: Story time*	Amphi: This feels amazingly real!*
		Room 2: Can we trust this chart? (Asking for a Friend)*	Room 2: Is the model even thinking?*	Room 2: Big data, bigger physics*
		Musaiques: I feel tangled in a net	Musaiques: How can I do this myself?	Musaiques: Let’s dig into the data
15:30 - 16:00	coffe break	coffe break	coffe break	coffe break
16:00 - 17:30	Amphi: The more the merrier*	Amphi: Data, Meet Human: Vis that cares*	Amphi: Time after time*	Amphi: Capstone
	Room 2: Panel: Challenges and opportunities for evaluating AI-assisted generation of…	Room 2: Beyond the last mile: What should visualization own…	Room 2: Panel: Friction in Visualization*
	Musaiques: Please don’t just stare at the picture	Musaiques: What does it mean to live, anyway?	Musaiques: My followers need to know about this