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2020 Data Fellowship

Date and Time: 
Monday, November 30, 2020 to Friday, December 4, 2020
Program Description: 

The 2020 Center for Health Journalism Data Fellowship is designed for skilled journalists who want to learn to mine data sources to reveal key insights essential to high-impact journalism. 

The program offers professional reporters an opportunity to learn to acquire, analyze and produce visualizations of data that can help their audiences understand key health and child welfare developments.  Fellows  can be  beat reporters focused on health, education or children's issues or general assignment reporters with a demonstrated interest in reporting on these themes. We require applicants to have a minimum of three years of professional experience.

Data Fellows receive five days of intensive training on data acquisition, cleaning, analysis and visualization, as well as an introduction to important data sets that can serve as the basis for groundbreaking journalism.  They hear from leading data journalism experts about how to make successful Freedom of Information Act (FOIA) requests and gain insights on how to pair original data analysis with compelling narratives.

The 2020 Data Fellowship will provide two training tracks tailored to the skill levels of participating journalists. 

Each Fellow is required to propose an ambitious investigative or explanatory reporting project to undertake in the six months following the training. Fellows return home from the training with grants of $2,000 to support reporting and data acquisition costs.   For six months, Fellows receive guidance from our expert data journalism mentors as they complete ambitious explanatory or investigative Fellowship projects built around data – reporting that impacts policy and spurs new community discussions. 

Because of the COVID-19 pandemic, the 2020 Data Fellowship will be held online through the Zoom platform.  

Senior Fellows and Trainers for 2020 Data Fellowship

Four of the nation's most skilled data journalists will serve as Senior Fellows (mentors) during the training and for six months afterwards. They are:

Cheryl Phillips has been teaching journalism at Stanford since 2014. Most recently, she founded Big Local News.  a project of the Stanford Journalism and Democracy Initiative. She also is co-founder of the Stanford Open Policing Project, a cross-departmental effort to collect police interaction data and evaluate racial disparities. And she is a founding member of the California Civic Data Coalition, an effort to make California campaign finance data accessible. Previously, Cheryl worked at The Seattle Times for 12 years in a variety of reporting and editing roles with the investigations team and across the newsroom. In 2014, she was involved in coverage of a landslide that killed 43 people, which received a Pulitzer Prize for breaking news. In 2009, she was the lone editor in the newsroom when four police officers were shot at a coffee shop and was integrally involved in the subsequent coverage, which received a Pulitzer Prize for breaking news. She has twice been on teams that were Pulitzer finalists. Cheryl has worked at USA Today and at newspapers in Michigan, Montana and Texas. She served for 10 years on the board of Investigative Reporters and Editors and is a former board president. 

Andrew Ba Tran is an investigative data reporter for the Washington Post. He shared in winning the Pulitzer Prize for Investigative Reporting in 2018 for the coverage of candidate Roy Moore's alleged past sexual harassment of teenage girls and subsequent efforts to undermine the Post's journalism that exposed it. Andrew  previously was a data editor at The Connecticut Mirror's TrendCT.org, Prior to that, he was a data producer at The Boston Globe, where he contributed to the newsroom's Pulitzer Prize-winning coverage of the Boston Marathon bombings and aftermath. He's also worked in newsrooms at The Virginian-Pilot and the Sun-Sentinel. He was a Metpro Fellow and a Chips Quinn Scholar and is a graduate of the University of Texas. He's taught data journalism as a Koeppel Fellow at Wesleyan University and as an adjunct professor at American University and is an advocate for open data and reproducible research.

MaryJo Webster has been the data editor for the Minneapolois Star Tribune since 2015. She teams up with reporters to analyze data for stories across a wide range of topics and beats.  She started her career as a reporter at small daily papers in Minnesota and Wisconsin before attending the University of Missouri-Columbia to specialize in investigative reporting and data journalism. While earning her master's degree, she also worked for Investigative Reporters and Editors, where she polished her data skills and taught others. After graduating in 2001, she became the first data editor at the Center for Public Integrity in Washington, D.C., where she oversaw an investigation of soft money flowing from state political party committees to federal committees. She spent several years as sports data editor for USA Today, then moved home to Minnesota and spent nine years as data editor for the St. Paul Pioneer Press, followed by a short stint as a data reporter with Digital First Media. Webster, who also has a bachelor’s degree in journalism from the University of Wisconsin-River Falls, teaches at the University of Minnesota, and is a regular speaker at journalism conferences. 

Aaron Williams recently joined Netflix as a senior visualization engineer based in Los Angeles.  Previously, he was an investigative data reporter at the Washington Post focused on demographic analysis and visualization. He did extensive data analysis for the Post's "Opioid Files" investigation,  a 2020 Pulitzer Prize finalist for public service journalism. In 2019, his graphics work was included in the Post's "Murder with Impunity" series, a 2019 Pulitzer Prize finalist for explanatory reporting. Before joining the investigative team, he was a reporter for the Post graphics desk. He previously covered housing, campaign finance, police and local politics for the San Francisco Chronicle and the Center for Investigative Reporting.   He earned a bachelor's degeree in journalism from San Francisco State University, which named him an Outstanding Alumnus in 2017. He was an Online News Association MJ Bear Fellow in 2014 and is a member of Investigative Reporters and Editors, National Institute of Computer Assisted Reporting and Journalists of Color.

Among the other leading data journalists who will serve as trainers are: 

Meghan Hoyer is data editor at The Associated Press, where she analyzes data and helps disseminate national data sets to reporters across the country, guiding them to find local stories in the numbers. Previously, she was a data journalist at USA TODAY, regularly working on healthcare stories. Before that, she worked as a data and government reporter at The Virginian-Pilot and the Louisville Courier-Journal. In an earlier lifetime, she briefly lived in California twice, as a reporting intern at the Modesto Bee and the Orange County Register. She has a bachelor’s degree in journalism from Northwestern University and a master of fine arts degree in creative nonfiction from Old Dominion UniversityElizabeth Lucas is data editor for Kaiser Health News and specializes in data analysis and reporting for the KHN enterprise team. She went there from Investigative Reporters and Editors (IRE), where she spent four years training and supporting data journalists around the world as the NICAR Data Library director. Previously, she worked as a data reporter on health and the environment for the Center for Public Integrity. She has a master’s degree from the Missouri School of Journalism.

Sandhya Kambhampati is a data reporter on the Los Angeles Times Data Desk, where she covers the demographics and diversity of California and the nation. She previously worked at the Chronicle of Higher Education, Correctiv and ProPublica Illinois. Her work on the widespread inaccuracies in Cook County’s property tax assessment system was a Pulitzer Prize finalist for local reporting in 2018.

Elizabeth Lucas is data editor for Kaiser Health News and specializes in data analysis and reporting for the KHN enterprise team. She went there from Investigative Reporters and Editors (IRE), where she spent four years training and supporting data journalists around the world as the NICAR Data Library director. Previously, she worked as a data reporter on health and the environment for the Center for Public Integrity. She has a master’s degree from the Missouri School of Journalism.

Paul Overberg is a data reporter at The Wall Street Journal and a member of its investigative team. He focuses on economic and demographic stories, but he works with reporters who cover everything from health care to infrastructure. He worked on USA TODAY’s news data team for many years and led its demographic coverage. He has taught at American University and Northwestern University's Medill School of Journalism and served as a senior fellow for the Center for Health Journalism at the University of Southern California since 2016. He speaks frequently at programs run by Investigative Reporters and Editors.

The Data Fellowship has identified priority areas for projects:

For National Applicants (Outside California)

From journalists from outside California, we're especially interested in proposals that investigate and explore:

  • The racial, ethnic and geographic health disparities that are emerging each day as the pandemic continues and how they impact vulnerable children and families
  • The role of systemic racism in influencing child and family well-being
  • Unequal access to economic and social welfare and health relief and recovery opportunities 
  • The performance of local, state and federal government health agencies and nonprofit organizations during the crisis on issues including child welfare, juvenile justice and child health and well-being issues
  • The impact of chronic stress, poverty and childhood trauma on child development
  • The intersection between partner violence and child abuse
  • The role of policy in improving prospects for children 
  • Child illness, injury and mortality trends 
  • The intersection of race/ethnicity and/or class in child and family outcomes 
  • Strengths-based approaches to improving outcomes for vulnerable children and families
  • Creative financing and cross-agency strategies to treat and prevent the impacts of child maltreatment on children and families 
  • Innovative solutions, and
  • Policy options to address the longstanding weaknesses in our social and health safety net that have been thrown into sharp relief by this crisis and that create uneven outcomes and opportunities. 

For California Applicants: 

For our 2020 Data Fellowship, the Center seeks proposals that explore:

  • Risks born by “essential workers” and the racial, ethnic and geographic health disparities that are emerging each day in health outcomes and health systems as the pandemic continues
  • The role of systemic racism in influencing health and health care
  • The health and mental health effects of unequal access to economic relief and recovery opportunities for communities of color, including undocumented immigrants  
  • The health, welfare and well-being of children under 5 in Los Angeles County
  • The performance of health agencies and nonprofit organizations during the crisis on access to care for underserved communities, homelessness, mental health, addiction services and physician shortages as well as innovative policy options to address longstanding weaknesses in our safety nets exacerbated by this crisis. 

We also welcome proposals on non-COVID-19 health topics, including:

  • Health-related environmental justice issues
  • Health system performance and quality of care
  • Issues around mental health and opioid use
  • Health effects of housing insecurity, evictions or homelessness; lack of transportation;  air pollution; and neighborhood violence
  • The school environment and the emotional health of children, including trauma-informed approaches and efforts to ensure paths to success for youth
  • Mental health and substance abuse
  • Health care costs and health care financing
  • The patient experience
  • The health care workforce
  • Health care coordination
  • End-of-life and palliative care
  • Telemedicine and the use of technology in health care delivery
  • Data transparency and the health care industry
  • Maternity care, and
  • Cancer care. 

 

 

Who Can Apply: 

Applicants must demonstrate a minimal skill level in Excel or take an online course on Excel. Since the Fellowship is highly interactive, Fellows must have access to a computer and pre-load it with the Excel and Tableau software that will be used during the training. (If you don't already have this software, we will provide advice about how you can get it for free.)

We prefer that applicants have a minimum of three years of professional experience; many Fellows have decades. Journalists writing for ethnic media are strongly encouraged to apply. Proposals for collaborative projects between mainstream and ethnic news outlets receive preference, as do projects produced for co-publication or co-broadcast in both mainstream and ethnic news outlets. Freelancers who apply should earn the majority of their income from journalism. Students and interns are ineligible.

What You Will Gain

Knowledge and Skills: Fellows will receive intensive training in data acquisition, cleansing, analysis and visualization techniques from some of the best data journalists in the country.  Fellows will gain insights into how to document health and demographic trends in their local communities.

Financial Support and Mentoring:  Fellows will receive grants of $2,000-$10,00 to use for reporting and data acquisition costs.  Veteran data journalists will provide one-on-one mentoring for six months while Fellows work on substantive investigative or explanatory reporting projects. Up to three Data Fellows from California may receive supplemental grants of $1,000 to $2,000 for community engagement, as well as specialized mentoring on community engagement. 

How to Apply

Click here for details about what we're looking for in your application.  All applications must be filed through our online application, which will be posted in late September. 

For general infornation about the Data Fellowship and to arrange a phone consultation with one of our data trainers (required before applying), write Martha Shirk at CAHealth@usc.edu.

California journalists are eligible to apply for a supplemental $1,000-$2,000 Community Engagement Grant.  Click here to read about the purpose of those grants, and click here to submit a separate applcation. For more information about the Community Engagement Grants, write Danielle Fox, the Center's engagement editor, at drf_328@usc.edu.  

 
Highlights: 

Here are some highlights of the 2019 Data Fellowship: 

  • Paul Overberg, a data journalist at the Wall Street Journal, and Mary Jo Webster, data editor for the Minneapolis StarTribune, provided in-depth overviews on navigating spreadsheets.
  • Paul Overberg and Angeliki Kastanis, a data journalist with The Associated Press, taught sessions on how to exploring U.S. Census data to report on children and families 
  • Cheryl Phillips, Lorey I. Lokey Visiting Professor in Professional Journalism in the Department of Communication at Stanford University and a founding member of the California Civic Data Coalition, and Ben Joneschief evangelist for Tableau Public, provided instruction on using Tableau to create data visualizations.
  • Meghan Hoyer,  a data editor for The Associated Press,  led workshops on datasets instrumental to good health and child welfare policy reporting.
  • Sarah Cohen, Knight Chair in Data Journalism at Arizona State University and former editor of the computer-assisted reporting group at The New York Times, shared tips about how reporters can use FOIA and its cousins to access death records, hospital payments and lobbying by health care companies. Afterwards, Cohen and Phillips led an interactive workshop that helped Fellows gain a better understanding of the roadblocks they might face in acquiring data.

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