astronomy

Mauro Martino

Mauro Martino is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Mauro Martino rather than just read about it. In short: Mauro Martino is an Italian artist, designer and researcher. He is the founder and director of the Visual Artificial Intelligence Lab at IBM Research, and Professor of Practice at Northeastern University.

Key takeaways

Mauro Martino belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Mauro Martino to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Mauro Martino from memory before moving on to harder problems.

Reference excerpt

Mauro Martino is an Italian artist, designer and researcher. He is the founder and director of the Visual Artificial Intelligence Lab at IBM Research, and Professor of Practice at Northeastern University.

Career He graduated from Polytechnic University of Milan, and was a research affiliate with the Senseable City Lab at MIT. Mauro was formerly an Assistant Research Professor at Northeastern University working with Albert-Laszlo Barabasi at Center for Complex Network Research and with David Lazer and Fellows at the Institute for Quantitative Social Science (IQSS) at Harvard University.

His works have been published in "The Best American Infographics" in the 2015 and 2016 editions and have been shown at international festivals and exhibitions including Ars Electronica, RIXC Art Science Festival, Global Exchange at Lincoln Center, TEDx Cambridge THRIVE, TEDx Riga, and the Serpentine Gallery. His work is in the permanent collection at Ars Electronica Center. In 2017, Martino and his team received the National Science Foundation's award for Best Scientific Video for the project Network Earth. In 2019, Martino and Luca Stornaiuolo won the 2019 Webby People's Voice Award in the category NetArt for the project AI Portraits. The project 150 Years of Nature won multiple awards such as Fast Company - Innovation by Design Awards Best Data Design 2020, Webby Award 2020, Webby People's Voice Award 2020. This project, along with other works created in collaboration with Barabási Lab (e.g., Wonder Net, A Century of Physics, Data Sculpture in Bronze, Control, Resilience, Success in Science, Fake News), was shown at the "Barabási Lab. Hidden Patterns" exhibitions at ZKM Center for Art and Media and Ludwig Museum - Museum of Contemporary Art, Budapest. Mauro Martino is a pioneer in the use of the artificial neural network in sculpture.

Notable works Strolling Cities is an interactive AI art project created in collaboration with Politecnico di Milano and exhibited in the Italian Pavilion at the 2021 Venice Biennale. Strolling Cities is the first project that "unites generative AI, human voice, poetry and urban landscape." The neural network model was trained on "millions of photos taken during the recent lockdowns (’20/’21) that show the urban space as an unfiltered landscape of walls, streets, and buildings." One of the main characteristics of this project is that Italian cities appear empty, without their population. The project makes it possible to "manipulate the urban landscape with the voice, using any kind of vocal input, from simple utterances to more complex phrases." The video installations used in the exhibit featured 9 Italian cities: Bergamo, Bologna, Catania, Como, Florence, Genoa, Milan, Palermo, Rome and Venice. The authors whose poems appeared in the installation included Alda Merini, Giulia Niccolai, Stefano Benni, Giorgio Caproni, Cesare Pavese, Goffredo Parise, and Valerio Magrelli. 150 Years of Nature is a data visualization project created in collaboration with Barabási Lab and dedicated to the 150th Anniversary of Nature. It includes an interactive tool, "data movie" and the cover showing the co-citation network of Nature publications throughout its history. 150 Years of Nature was the Webby Award Winner in 2020; it was awarded the Best Data Design at Fast Company - Innovation by Design Awards. The project is exhibited as part of the "Barabási Lab. Hidden Patterns" exhibitions at ZKM Center for Art and Media and Ludwig Museum - Museum of Contemporary Art, Budapest. AI Portraits is a research project that uses artificial neural network to reconstruct a portrait of a person. The AI system was trained on a dataset that included millions of photos of actors and actresses. Wonder Net was developed in collaboration with Albert-László Barabási at the Center for Complex Network Research at Northeastern University. Wonder Net includes 8 data sculptures which represent 8 different "data-stories" (e.g., art network, flavor network, fake news network, etc.). It was presented at the IEEE VIS 2018 Arts Program in Berlin. Forma Fluens uses the world’s largest doodle data set by Google Quick Draw. This project was presented at 123 DATA design exhibition in Paris. Charting Culture maps cultural mobility, tracking the births and deaths of notable individuals, from 600 BC to the present day. Charting Culture is one of the most viewed videos of the Nature Video channel on YouTube with over 1.3 million views. This project is part of the Places & Spaces: Mapping Science exhibit. It was also featured in "The Best American Infographics 2015". News Explorer is a web application providing new interface for news analysis and discovery. Network Earth won the 2017 Best Scientific Video award of the National Science Foundation. Network Earth explores nature's resilience and interconnections between all life on Earth. It accompanied a research paper published in Nature. Rise of Partisanship shows the party polarization of the House of Representatives through time. This project was included in "The Best American Infographics 2016". Redrawing the map of Great Britain from a network of human interactions explored a new approach to regional delineation, based on analyzing networks of billions of individual human transactions.

Awards 2020: Fast Company – Innovation by Design Awards, Best Data Design: 150 Years of Nature 2020: Webby Award Winner: 150 Years of Nature, Webby People's Voice Award Winner: 150 Years of Nature 2019: Webby People's Voice Award – Winner, NetArt, AI Portraits 2017: Vizzies Visualization Challenge by National Science Foundation and Popular Science – Winner, Best Scientific Video, Network Earth 2017: Kantar Information is Beautiful Award – Honorable Mention, Unusual, Forma Fluens 2016: Innovation by Design Award by Fast Company, Finalist for Websites & Platforms, Watson News Explorer 2016: Kantar Information is Beautiful Award – Silver Medal, Commercial Project, IBM Watson News Explorer 2015: Kantar Information is Beautiful Award – Gold Medal in Data visualization, Rise of Partisanship 2015: Kantar Information is Beautiful Award – Honorable mention - Motion Infographic, Charting Culture

References

Illustrations

Worked examples

Example 1 — a first encounter with Mauro Martino

Start with the simplest possible case. Write down what Mauro Martino claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Mauro Martino before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Mauro Martino ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Mauro Martino

In research: Mauro Martino appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Mauro Martino in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Mauro Martino is common in secondary-school and first-year university syllabi. It links to neighbouring topics AI art, Artificial intelligence researchers, Data scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Mauro Martino outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Mauro Martino in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Mauro Martino means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Mauro Martino out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mauro Martino in simple terms?

Why does Mauro Martino matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Mauro Martino?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Mauro Martino.