Thank You, Sponsors!

Sponsors for the Data Science Research Bazaar include on-campus departments and Madison-based companies. Read about our sponsors below.

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UW-Madison Department of Statistics

Describe what the Department of Statistics does, and how it relates to data science.

Statistics is one of the core methods disciplines of data science, tracing the connection back over 60 years. Statistics is known as the “science of science” or the mathematical basis for experimental research.

How does the Department of Statistics engage with community around data science?

Many of our faculty and students conduct data science research, both in terms of developing new methods and applying them in innovative ways through collaborative team research in a wide variety of fields. Statistical consulting is an important type of data science facilitation aimed to build researcher capacity for design, inference, and interpretation.

What is something you’re looking forward to at the Data Science Research Bazaar?

Learning about new types of data and data-rich research. Developing new, and expanding on existing, collaborations with researchers and units across campus and beyond.

What is something data science-related that has excited or interested you recently?

A current challenge is bringing data at scale from the research setting into the classroom as a way of enhancing the learning experience for students. This involves pedagogy, technology, and communication about cutting-edge approaches.

Why is sponsoring the Data Science Research Bazaar important to you?

Statistics is part of the School for Computer, Data, and Information Sciences, and has fostered leadership in data science for quite some time. Data are everywhere, and learning how to use statistical methods to design and interpret effective and ethical studies is central to building our campus data science community through such an important annual event.

UW-Madison Division of Information Technology

Describe what the Division of Information Technology does, and how it relates to data science.

The Division of Information Technology (DoIT) runs the foundational IT infrastructure for the University, including the network and cybersecurity infrastructure. This enables data science and the specialized technology work done in research groups. As the amount of data science grows it is essential that the University’s infrastructure scale to meet the demands of big data and emerging science.

How is DoIT engaging with the community around data science?

Our Research Cyberinfrastructure group operates an RStudio platform that can be used by data scientists in all disciplinary areas. We also help data scientists build architectures in the public cloud that support their data, analysis, and visualization workflows. We also participate as trainers in the Data and Software Carpentry workshops on campus.

What is something you’re looking forward to at the Data Science Research Bazaar?

It is a great opportunity for those of us in the information technology community to hear data scientists talk about how they are using data science methods to answer questions in their disciplinary areas. It is amazing how similar approaches can help us understand very different phenomena in the physical, life, and social sciences.

What is something data science-related that has excited or interested your recently?

So many things! The possibilities seem endless. For example, data science will enable personalized medicine, allowing each of us to receive care that is specific to our bodies and needs. It is enabling social determinants of health, understanding elements in our communities that impact the health and wellbeing of people. Data science is allowing us to understand climate change and impact in more depth than ever before. Data science allows us to understand more quickly when learners need help understanding a concept, well before a midterm or final exam when it may be too late to provide meaningful help.

Why is sponsoring the Data Science Research Bazaar important to you?

UW-Madison is at the forefront of data science. Bringing people together to share ideas sparks even more innovation. We’re glad to be a small part of helping that to happen.

Dataiku

Describe what Dataiku does, and how it relates to data science.

Dataiku is the platform for Everyday AI, systematizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side with low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.

Dataiku was founded in 2013 and has been leading the charge in the democratization of AI ever since. Today, Dataiku is bridging the gap between the tensions present in today’s organizations so they don’t have to choose an AI strategy that addresses rationality or creativity, the individual or the collective, use cases that are mundane or moonshots — they can balance it all.

At its core, Dataiku allows companies to leverage one central solution to design, deploy, and manage AI and analytics applications. Dataiku also facilitates using prebuilt components and automation wherever possible to streamline work processes as well as consistent management and governance across teams and projects to create transparent, repeatable, and scalable AI and analytics programs.

How is Dataiku engaging with the community around data science?

Fostering the next generation of analytical talent! That’s what our Dataiku academic program is all about. We work hard to expand outreach and engagement in the education sector to support faculty, researchers, and students in our commitment to equip future data and analytics practitioners and leaders with the analytical skills highly sought by today’s employers.

What is something you’re looking forward to at the Data Science Research Bazaar?

We are excited to have the opportunity to highlight Dataiku and provide insight into our available resources including our free academy and workshops.

What is something data science-related that has excited or interested you recently?

Responsible AI. We often hear the term tossed out there, but Responsible AI is importance because it’s what will make organizations’ AI systems stand the test of time and ensure that they are not shattered by inevitable future developments in the space (like legislation, but also new technologies).

Why is sponsoring the Data Science Research Bazaar important to you?

The Bazaar is a great opportunity to engage with a diverse group of students, faculty, researchers, and staff. Dataiku is proud to sponsor the Research Bazaar. Our free Academic Program exists to bring individuals, institutions, communities, and their data together to prepare everyone for college, career, and life. The Bazaar provides us with a tangible opportunity to engage with the community and support the next generation of analytical talent.

WARF (Wisconsin Alumni Research Foundation)

Describe what WARF does, and how it relates to data science.

The Wisconsin Alumni Research Foundation (WARF) is the nonprofit organization charged with protecting and commercializing intellectual property developed by UW-Madison researchers. For more than 95 years we have partnered with the University to advance emerging technologies, from agricultural breakthroughs to multidisciplinary innovations in computer and data science across all fields. WARF’s mission is to support scientific research within the UW-Madison community by providing financial support, actively managing assets and moving innovations to the marketplace for a financial return and global impact. These funds not only help support research but help maintain a strong university overall. WARF funding helps UW-Madison recruit and retain faculty, fund campus infrastructure and support entrepreneurship and innovation.

As part of our commercialization efforts, we interface with industrial partners looking not only for cutting-edge technology, but also for particular skills and assets that campus can provide. We work closely with our researchers and UW administrative counterparts to help find creative ways to bring University research to market, and data licensing is one such avenue. We are seeking researchers who have data sets that may be commercially interesting to have a discussion around data licensing.

How is WARF engaging with the community around data science?

WARF works with UW-Madison faculty, staff, and students to help drive their data science innovations towards realization. While we see inventions and software innovations, we are also looking to engage more with the community who may be creating, compiling, or leveraging data in unique ways.

WARF is also thrilled to support Varsity Venture Studio (the first campus-wide venture studio of its kind) that is working to turn ideas into funded software businesses. Moreover, to engage the broader community, our outreach team spearheads the annual Wisconsin Science Festival and other events to bring STEM programming into hundreds of homes and classrooms throughout the state. These are our future data scientists!

What is something you’re looking forward to at the Data Science Research Bazaar?

We are always eager to learn about cutting-edge, innovative research, even if it falls outside of the traditional patenting path. Researchers with any questions about commercialization shouldn’t hesitate to reach out to a WARF contact.

What is something data science-related that has excited or interested you recently?

We know that data has become the keystone for fields across many different disciplines. We are excited to explore new and creative ways that data is being leveraged to power innovation. In particular, machine learning and AI are drawing the attention of industry and researchers, and leading to amazing innovation. No matter what stage your research is in, we’d be happy to discuss if intellectual property protection or other protection strategies are available for researchers’ work.

Why is sponsoring the Data Science Research Bazaar important to you?

We’re pleased to support this inclusive event and participate in growing a dynamic community around data science innovation. Over the last decade, WARF has reviewed many new technologies from researchers across a broad spectrum of fields. It’s possible we’ll see new opportunities presented at this event, which if commercialized can help support the university and future research endeavors.