A 1-day free conference featuring speakers from the fields of data science, statistics, data journalism, and the digital humanities.

 

UNIVERSITY OF MIAMI

Newman Alumni Center

6200 San Amaro Dr, Coral Gables, FL 33146

Friday, March 2nd, 2018

8:30AM – 5PM

PRESENTERS

Paige Morgan | Cameron Riopelle | Alberto Cairo

SPEAKERS

Steve Duenes

Steve Duenes is the Associate Managing Editor at The New York Times. Since 2004 he has been the head of The New York Times award-winning graphics desk, producing visual explanations, interactive visualizations, and data-driven journalism.
@Duenes

Heather Froehlich

Dr. Heather Froehlich is the Digital Scholarship Fellow in Text Analysis and an Assistant Librarian at Penn State University (University Park, PA, USA). She was awarded her Ph.D. and MRes from the University of Strathclyde (Glasgow, UK), where she studied representations of social identity in Shakespeare and other Early Modern London plays; before that, she studied English and Linguistics at the University of New Hampshire (Durham, NH, USA). She was previously involved with the Mellon-Funded Visualizing English Print 1470-1800 project between Strathclyde, UW-Madison and the Folger Shakespeare Library. @heatherfro

Shazna Nessa

Shazna Nessa joined The Wall Street Journal in March 2017 as Deputy Managing Editor, Global Head of Visuals. She leads the organization’s strategy for visual journalism with oversight of the graphics, photography, design and news developer teams. Prior to that, Shazna was director of journalism at Knight Foundation and has held senior positions at the Associated Press and Conde Nast. Shazna was born and raised in London and graduated from the Sorbonne in Paris with a Bachelor of Arts in French and English. She was a 2008 Sulzberger fellow and a 2014 John S. Knight journalism fellow at Stanford University.

Thomas Padilla

Thomas Padilla is Visiting Digital Research Services Librarian at the University of Nevada Las Vegas. He publishes, presents, and teaches widely on Humanities data, data curation, and data information literacy. He is Principal Investigator of the Institute of Museum and Library Services supported, Always Already Computational: Collections as Data. He has previously held Digital Scholarship, Digital Humanities, and Digital Preservation positions at Michigan State University, the University of Illinois at Urbana Champaign, and the Library of Congress.
@thomasgpadilla

Athena Hadjixenofontos

Dr. Hadjixenofontos joined the University of Miami Center for Computational Science in 2016. As the Center’s Director of Engagement, she leads a number of programs that aim to support the development of computational skills and adoption of computational mindsets in various populations. She’s particularly excited by the science part of data science, as it relates to assumptions, bias and their relationship with strong study design. She holds a Ph.D. in computational genetics from the University of Miami John P. Hussman Institute for Human Genomics.

Mahsa Mirzargar

Mahsa Mirzargar is an assistant professor at the Computer Science department at the University of Miami. She has extensive experience in scientific visualization, data science, and multidimensional signal processing.
View her Website

SCHEDULE

8:00AM

Registration Opens

8:30AM – 9:00AM

Welcome by Paige, Cameron, Alberto

9:00AM – 9:45AM

Steve Duenes

More Info
Title: Digital Humanist
Topic: An exploration of the imperfect overlap between visual and data journalism and the humanities. Also, a brief history of The New York Times graphics department, and our current quest to strike the right balance between abstract and visceral data presentations.

9:45AM – 10:30AM

Athena Hadjixenofontos

More Info

Title: Data Scientist
Topic:
The output of data science often reflects the data scientist’s experience. We think of science as an objective way to uncover what we think of as the truth, but the truth exists within a context that impacts the interpretation of observations based on data collected following principles of good study design. How do the various stages of data analysis, from study design to the communication of results reflect the particular views and life experiences of the people carrying out the analysis? Is there a way to avoid these biases, and are there any good reasons why we would not want to avoid them?

10:30AM – 11:15AM

Heather Froehlich

11:15AM – 11:30AM

Coffee Break

11:30AM – 12:15PM

Masha Mirzargar

12:15PM – 1:30PM

Break For Lunch (Lunch not Provided)

1:30PM – 2:15PM

Shazna Nessa

More Info

Title: Our Networked Newsroom:
Topic: Data Journalists with Hybrid Skills and Why Collaboration Matters Modern newsrooms reflect the complexity of an increasingly networked world. This session will explain how data journalists need to hone new skills and techniques to navigate these waters in order to engage and inform our audiences.

2:15PM – 3:00PM

Thomas Padilla

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Title: Data praxis: a ‘could be’ common cause
Topic: Librarians, archivists, and museum professionals aim to support the ability to make meaning of worlds. A charge with astronomical proportions at its best when grounded by the needs of everyday life. Increasingly, the path toward resolution of these needs depends upon the ability to conceptualize and work with data. In recognition of that reality cultural heritage organizations have been exploring the value of rendering their collections as data amenable to computation. In so doing they find themselves in a prime position to cultivate broad naturalization of data praxis via partnerships with researchers, artists, and journalists. This talk will focus on the potential of data praxis as a ‘could be’ common cause and suggest roles that librarians, archivists, museum professionals and their partners can play in making it happen.

3:00PM – 3:30PM

Coffee Break

3:30PM – 5:00PM

Discussion with Speakers/Closing

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