Stats + Stories

Community leaders regularly make decisions that impact the lives of community members. From where green space will be located to what businesses to approve to what public health interventions to put in place. There’s a growing recognition that such decisions should be informed by data that come from the community itself. Community analytics are the focus of this episode of Stats and Stories with guest Kathy Ensor.

Kathy Ensor is a leading national voice in statistics and data science and a recognized expert in the methodological development and application of statistics to advance wisdom, knowledge, and innovation. She is the Noah G. Harding Professor of Statistics at Rice University and director of the Center for Computational Finance and Economic Systems. She served as chair of the Department of Statistics from 1999 through 2013 and is the creator of the Kinder Institute’s Urban Data Platform. Ensor’s research specializes in understanding dependent data and developing computational statistical methods to solve practical problems. Ensor served as the 117th president of the American Statistical Association (ASA), heading the ASA board of directors, and has represented the statistics profession on numerous national boards. She is a fellow of the ASA and AAAS and was inducted into the Texas A&M College of Science Academy of Distinguished Former Students in 2021. Ensor holds a BSE and MS in mathematics from Arkansas State University and a PhD in statistics from Texas A&M University.

According to the Centers for Disease Control and Prevention hospital mortality rates in the US were on the decline in the early 2000s, even as total hospitalizations rose. This came after a 1999 U.S. Institute of Medicine report that suggested tens of thousands of individuals died in hospitals unnecessarily each year. The report focused attention on patient safety in modern hospitals. About 70 years earlier, an organization in the American South was also concerned with patient outcomes. That's the focus of this episode of Stats+Stories with guest Melissa Thomasson.

Melissa Thomasson is an American economist. She is the Julian Lange Professor of Economics at Miami University in Oxford, Ohio, where she has also been the chair of the Department of Economics. She studies economic history, focusing on the evolution of health insurance and health care in the United States.

More than 27 million individuals are the victims of human trafficking globally that’s according to the US State Department. The 2022 United Nations report on global trafficking suggests that 39 percent of trafficking is associated with sexual exploitation, while also noting that’s likely an underestimate. An initiative at the University of Alabama is working to develop methods for finding evidence of trafficking online, that’s the focus of this episode of Stats and Stories with guest Nickolas Freeman.

Freeman, Ph.D., is an Associate Professor of Operations Management in the Department of Information Systems, Statistics, and Management Science. Dr. Freeman is also an Associate Editor for INFORMS Journal on Applied Analytics (IJAA). He is an active member of the Institute for Operations Research and Management Science (INFORMS) and earned their Certified Analytics Professional (CAP) certification in 2014. He is also a member of the Production and Operations Management Society (POMS). Dr. Freeman is an active researcher with interests that include healthcare operations management, supply chain risk management, and applied analytics. He has several publications in journals including Manufacturing & Service Operations Management (MSOM), Production & Operations Management (POMS), Omega, the European Journal of Operational Research (EJOR), and INFORMS Journal on Applied Analytics (formerly Interfaces), and IISE Transactions (formerly IIE Transactions).

Journalists are often tasked with making complicated information accessible to a wide audience. Given mere minutes or inches to communicate information that might have taken a researcher pages to explain. Financial data can be particularly tricky to translate as it can require not only a comfort level with numbers but also some understanding of financial markets or economic principles. Reporting on financial information is the focus of this episode of Stats+Stories with guest Alan Smith.

Alan Smith (@theboysmithy) leads the Finanical Times' newsroom team of data reporters and visual journalists. A data visualisation specialist, his TEDx talk Why You Should Love Statistics was featured on TED.com in 2017. Alan is the author of How Charts Work, a handbook on designing with data using the Finanical Times' principles. He is also Honorary Professor of Practice at UCL's Social Data Institute. Before he joined the Finanical Times', he was head of digital content at the UK Office for National Statistics where he was awarded an OBE in 2011 for services to official statistics.

How do you learn about what’s going on in the world? Did a news headline grab your attention? Did a news story report on recent research? What do you need to know to be a critical consumer of the news you read? If you are looking to start developing your data self-defense and critical news consumption skills, this book is for you! It reflects a long-term collaboration between a statistician and a journalist to shed light on the statistics behind the stories and the stories behind the statistics. The only prerequisite for enjoying this book is an interest in developing the skills and insights for better understanding news stories that incorporate quantitative information.

As you reach the end of a long day with an excess of stress how do you recharge? Have you found that a long stroll in the sun or through the woods can provide this renewal? Walking in nature is the focus of this episode of Stats+Stories with guest Dr. Altea Lorenzo-Arribas.

Dr. Altea Lorenzo-Arribas is a socio-economic statistician at Biomathematics and Statistics Scotland (BioSS) working in collaboration with researchers at the Scottish Environment, Food and Agriculture Research Institutions. She is an elected council member of the Royal Statistical Society and secretary of the History of Statistics Section, as well as a member of the Women Committee of the Spanish Society of Statistics and Operations Research, and the Spanish Biostatistics Network (Biostatnet). She is passionate about uncovering the hidden stories of women in the history of statistics, and firmly believes in the need for a more equal, diverse and inclusive discipline.

Would you be surprised if a wombat won a statistical achievement award? well our guest Noel Cressie is here to talk about the WOllongong Methodology for Bayesian Assimilation of Trace-gases and how it can impact the environmental landscape.

Noel Cressie is Distinguished Professor at the University of Wollongong, Australia, and Director of its Centre for Environmental Informatics, which is a vibrant interdisciplinary group doing research in spatio-temporal statistics, satellite remote sensing, and broader fields of environmental science; he is also Adjunct Professor at the University of Missouri and Affiliate at NASA’s Jet Propulsion Laboratory in the USA. Noel grew up in Western Australia, received a PhD from Princeton University, and shared a career between the US and Australia. He is author and co-author of four books, three of them on spatial and spatio-temporal statistics, and of more than 300 peer-reviewed publications. His recent research involves hunting for atmospheric-carbon-dioxide sources around the world and focusing on Antarctica’s environmental future. He has won a number of awards, including the Fisher Award and Lectureship from the Committee of Presidents of Statistical Societies (COPSS), the Pitman Medal from the Statistical Society of Australia, the Barnett Award from the Royal Statistical Society, and the Matheron Award and Lecture from the International Association for Mathematical Geosciences. Noel is a Fellow of the Australian Academy of Science, of the Royal Society of New South Wales, and of a number of other learned societies.

Newsrooms struggle with communicating climate data. Some worry about being too alarmist, while others worry about communicating the data clearly. One American newspaper has a column devoted to breaking down climate data, which is the focus of this Episode of Stats+Stories with guest Harry Steven.

Harry Stevens is the Climate Lab columnist at The Washington Post. He was part of a team at The Post that won the 2020 Pulitzer Prize for Explanatory Reporting for the series “2C: Beyond the Limit.” Stevens came to The Post from Axios, where he designed news graphics and worked on data-driven investigations. Stevens's journalism career has also included stints at the Hindustan Times in New Delhi, India, and the Salt Lake Tribune in Utah.

How do you learn about what’s going on in the world? Did a news headline grab your attention? Did a news story report on recent research? What do you need to know to be a critical consumer of the news you read? If you are looking to start developing your data self-defense and critical news consumption skills, this book is for you! It reflects a long-term collaboration between a statistician and a journalist to shed light on the statistics behind the stories and the stories behind the statistics. The only prerequisite for enjoying this book is an interest in developing the skills and insights for better understanding news stories that incorporate quantitative information.

What fundamental values should data scientists and statisticians bring to their work? What principles should guide the work of data scientists and statisticians? What does right and wrong mean in the context of an analysis? That’s the topic of today's stats and stories episode with guests Stephanie Shipp and Donna LeLonde

Stephanie Shipp is a research professor at the Biocomplexity Institute, University of Virginia. She co-founded and led the Social and Decision Analytics Division in 2013, starting at Virginia Tech and moving to the University of Virginia in 2018. Dr. Shipp’s work spans topics related to using all data to advance policy, the science of data science, community analytics, and innovation. She leads and engages in local, state, and federal projects to assess data quality and the ethical use of new and traditional data sources. She is leading the development of the Curated Data Enterprise (CDE) that aligns with the Census Bureau’s modernization and transformation and their Statistical Products First approach. She is a member of the American Statistical Association’s Committee on Professional Ethics, Symposium on Data Science and Statistics (SDSS) Committee, and the Professional Issues and Visibility Council. She is an elected member of the International Statistical Institute, an American Association for the Advancement of Science Fellow, and an American Statistical Association (ASA) Fellow. She received the ASA Founder’s award in 2022.

Donna LaLonde is the Associate Executive Director of the American Statistical Association (ASA) where she works with talented colleagues to advance the vision and mission of the ASA. Prior to joining the ASA in 2015, she was a faculty member at Washburn University where she enjoyed teaching and learning with colleagues and students; she also served in various administrative positions including interim chair of the Education Department and Associate Vice President for Academic Affairs. At the ASA, she supports activities associated with presidential initiatives, accreditation, education, and professional development. She also is a cohost of the Practical Significance podcast which John and Rosemary appeared on last year.