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Presentations

This category contains 48 posts

Open Data Science Conference Boston 2016

2016.04.19 — Hosting visualization workshop with Mark Schindler at ODSC Boston 2016

VIVID Sydney

2016.06.08 – Presenting at VIVID Sydney Festival of Music, Light and Ideas

Samson Feldman Lecture at The Johns Hopkins School of Medicine

15 April 2016

Art & Science: A Partnership Catalyzing Discovery in Biomedicine.
The unprecedented scale and resolution of data generated by the biomedical research community hold tremendous potential to inform our understanding and treatment of disease. The challenge is to ensure that technical and non-technical researchers can access, use and learn from these data and analytics resources. Bang Wong will present examples of user-friendly analytical and visualization tools developed at the Broad Institute to advance research projects, including the Connectivity Map, with its 26 trillion point dataset.

4th Symposium on Biological Data Visualization

11 July 2014 — Presenting data

Data visualization can serve two distinct purposes: to communicate research findings and to guide the data-exploration process as the scientific story is unfolding. Each goal requires a different approach to data representation, but sound graphic design principles are important in both. In this presentation I will demonstrate core concepts that make design a requirement, not a cosmetic addition, to construct presentations that are easy to interpret and understand.

BioIT World Conference 2014

30 April 2014 — Data Visualization and Exploration Tools: From Genomics to Discovery.

The Data Visualization and Exploration Tools Track will showcase how to design, implement and evaluate visualization techniques and tools that offer real value to the user both in support of genomics and sequencing research, as well as in drug discovery and development. We will present case studies that showcase approaches to data visualization and analysis that address important challenges in genomics, pathway analysis, oncology and drug discovery.

2014.03.06 — Keynote Presentation at VIZBI 2014 in Heidelberg

06 March 2014 — Thinking, Seeing and Understanding

Catalyst Conversations with Heather Dewey-Hagborg

2 October 2013 — Catalyst Conversations. Genomics: Heather Dewey-Hagborg and Bang Wong

In different ways, Heather Dewey-Hagborg and Bang Wong both transcend the traditional division between science and art. Each uses data as a starting point and then employs tools and techniques from both the science and art realms in order to visualize that data. One place where they diverge is in the outcomes of their work. For Bang Wong, the outcome is essentially scientific: the results seek to explicate patterns and understand relationships in the data in order to make sense of complex systems. In the case of Heather Dewy-Hagborg’s Stranger Visions project, the result is essentially artistic: she uses a visual art piece to provoke thought and conversations about the role that DNA plays in our public interactions by creating an object. For Dewey-Hagborg and Wong, the boundary between science and art is fluid; and each is centralto our understanding of the world.

Presenting with Heather Dewey-Hagborg at MFA School

1 October 2013 — Part of the Four Sculptors series at the School of the Museum of Fine Arts, Boston.

Information Design and Data Visualization Boston 2013

20 June 2013 — Symposium presentation at Design and Data Visualization Boston 2013.

The symposium is a part of the Swiss Style Reboot exhibition hosted by the Swissnex Boston and Northeastern University Art + Design department.

BroadE workshop on ‘visual representation for exploring and explaining scientific data.’

Visual Representation for Exploring and Explaining Scientific Data

Visual representation can serve two distinct purposes: to guide the data-exploration process as the scientific story is still unfolding and to communicate research findings. Each goal entails a different approach to data representation, but sound graphic design principles are important in both. This workshop will focus on data-visualization techniques to parallel the research trajectory from lab to publication. Prospective attendees will be guided through essential design principles, graphical methods for depicting information, and software tools for implementing visualization ideas. Hands-on activities will give participants opportunities to put concepts into practice.

— Slides —