Stats + Stories

Native communities around the world are looking for ways to maintain their culture and their language. Meanwhile, some colleges and universities in the U.S. are trying to come to terms with the fact that their campuses are located on what were once tribal lands. The Myaamia Center at Miami University is a partnership between the Miami Tribe of Oklahoma and the university which works to preserve the Myaamia culture and language while also exposing undergraduate and graduate students to those efforts. The Center's work is the focus of this episode of stats and stories with guest Haley Shea. Haley Shea (kiišikohkwa) is a member of the Miami Tribe of Oklahoma. She obtained a PhD in Counseling Psychology at Iowa State University after her undergraduate career at Miami University. Today, she is a Research Associate at the Myaamia Center and a Visiting Assistant Professor in Educational Psychology at Miami University. In her role at the Myaamia Center, she is currently the co-chair of the Neepwaayoni Acquisition and Assessment Team (NAAT), examining the many factors that have contributed to positive outcomes (e.g. community engagement, attendance at tribal events, sense of belongingness, etc.) within the Myaamia community.

Everyone can relate to being in a rush and needing to get just one last item from the store. However, upon reaching the checkout line, after being asked the all too often refrain of, “can I get your loyalty card or phone number” you may wonder why is this information so important to a store. The annoyance and potential ramifications of giving up your data so freely is the focus of this episode of Stats+Stories with guest Claire McKay Bowen. Claire McKay Bowen (@clairemkbowen)) is a principal research associate in the Center on Labor, Human Services, and Population and leads the Statistical Methods Group at the Urban Institute. Her research focuses on developing and assessing the quality of differentially private data synthesis methods and science communication. In 2021, the Committee of Presidents of Statistical Societies identified her as an emerging leader in statistics for her technical contributions and leadership to statistics and the field of data privacy and confidentiality. She is also a member of the Census Scientific Advisory Committee and the Differential Privacy Working Group, an advisory board member of the Future of Privacy Forums, and an adjunct professor at Stonehill College.

Stats and Stories recently marked its 250th episode with a contest. We asked you to share with us(via Twitter or email) a stat-related story with a headline you didn’t like and then a new headline that you thought was better. We had a number of great entries, including another stats haiku, but there can be only one winner and they’re joining us on this episode of Stats and Short Stories with Dan Gaichas. Gaichasalso known as @StatManDan on Twitter. Gaichas is an institutional researcher and also our contest winner with a submission sent out the day our contest launched. He’ll get a signed copy of my and John’s book Statistics Behind the Headlines as well as some Stats + Stories swag.

In many countries in the Global South, partnerships and collaborations are crucial to moving forward projects of various kinds. A network based at the University of Colorado Boulder has facilitated the creation of statistics and data science collaboration labs in 10 countries, The LISA 2020 Global Network and it's efforts are the focus of this episode of Stats+Stories with guests Eric Vance and Olawale Awe. Eric Vance is an associate professor of applied mathematics at the University of Colorado Boulder and the director of LISA (Laboratory for Interdisciplinary Statistical Analysis), where he trains statisticians and data scientists to move between theory and practice to collaborate with domain experts to apply statistics to transform evidence into action. He is the global director of the LISA 2020 Network, which is a network of 30+ statistics and data science collaboration laboratories in 10 countries in Africa, South Asia, and Brazil. He is an Elected Member of the International Statistical Institute and a Fellow of the American Statistical Association.  Olawale Awe is an Elected Member of the International Statistical Institute (ISI) and a Fellow of the African Scientific Institute, USA. He is an Affiliate member of the African Academy of Sciences (AAS) and an immediate past Council Member of the International Society for Business and Industrial Statistics (ISBIS) (2017-2021). He is the First LISA Fellow and presently the Global Vice-President of Engagement and Public Relations in the LISA 2020 Global Network of the University of Colorado, Boulder, USA.His research interests include Computational Statistics, Machine Learning, Time Series Econometrics and Statistics Education. He has served on some important ISI committees and has facilitated several capacity-building workshops and seminars globally. Olawale holds a PhD in Statistics from the University of Ibadan, Nigeria and MBA from Obafemi Awolowo University, Ile-Ife, Nigeria. He is the lead editor (with Kim Love and Eric Vance) of the soon-to-be-released book titled “Promoting Statistical Practice and Collaboration in Developing Countries” by Taylor and Francis Group.

Data have always been important to the work of journalists. from Jacob Riis is reporting on how the other half lived in late 1800s New York City, to stories about gun violence in 2022, journalists need numbers to tell their stories. But not every reporter is trained to find and work with data. For those who want to dive into investigative journalism which often depends on complicated data, learning the skills to clean and analyze statistical information is a crucial part of the job. That is the focus of this episode of Stats+Stories with guest Austin Fast. Fast is a journalist based in Phoenix with over a decade of radio, TV, print and web experience, currently focusing on data analysis and investigative work at National Public Radio. He specializes in data analysis on NPR's investigations team, often collaborating with reporters from NPR Member stations across the country. Before coming to NPR, Fast reported for KJZZ in Phoenix and covered the world's largest wild salmon fishery at KDLG in Dillingham, Alaska. He's also written breaking news at a Cincinnati TV station and taught English overseas with the Peace Corps.

Sir Bernard Silverman is an eminent British Statistician whose career has spanned academia, central government, and public office. He will discuss his wide-ranging career in statistics with Professor Denise Lievesley, herself a distinguished British social statistician. He was President of the Royal Statistical Society in 2010 before stepping down to become Chief Scientific Adviser to the Home Office until 2017. Since 2018, Sir Bernard has been a part-time Professor of Modern Slavery Statistics at the University of Nottingham and also has a portfolio of roles in Government, as chair of the Geospatial Commission, the Technology Advisory Panel to the Investigatory Powers Commissioner, and the Methodological Assurance Panel for the Census.  He was awarded a knighthood in 2018 for public service and services to science.

Dr. Dooti Roy is a people leader, global product owner and a methodology statistician at Boehringer Ingelheim (she didn’t give me where she worked in her bio so she might not want this) who enjoys developing/deploying innovative clinical research and statistical visualization tools with expertise in creating and leading dynamic cross-functional collaborations to efficiently solve complex problems. She is currently focused on research and methodological applications of Bayesian statistics, artificial intelligence and machine learning on clinical efficacy analyses, patient adherence, and dose-finding. She is passionate about promoting diversity and inclusion, mentoring, cross-cultural collaborations, and competent leadership development. She unwinds with painting, reading, traveling and heavy metal. Suzanne Thornton professor of Statistics at Swarthmore College, a liberal arts undergraduate-only institution. As an educator, she strives to teach students to understand statistics as the language of science and prepare them to become stewards of the discipline. In 2020 she chaired an ASA presidential working group on LGBTQ+ representation and inclusion in the discipline and earlier this year, she was appointed to a three year term

At Stats and Stories, we love to have statisticians and journalists tell stories of their careers and give advice to inspire younger professionals and the next generation about what they can do with the power of data. However, we have yet to have a couple join us to talk about their careers and how statistics in Brazil have progressed over the past 30 years. That's the focus of this episode of Stats and Stories Pedro and Denise Silva. Pedro Luis do Nascimento Silva - Statistics from the National Institute of Pure and Applied Mathematics Association (1988) and Doctor in Statistics - University of Southampton (1996). He is a Researcher at the National School of Statistical Sciences. He has extensive experience in the following areas of Statistics: sampling and research methods, analysis of complex sample data, household sample surveys, variance estimation, calibration estimators, data criticism and imputation, estimation for small domains, sample surveys in the evaluation of public policies, and official statistics. He was president of the International Institute of Statistics (2015-2017). Denise Britz do Nascimento Silva is a retired and voluntary Principal Researcher at the National School of Statistical Sciences (ENCE) of the Brazilian Institute for Geography and Statistics (IBGE), and Senior Associate Researcher at the Society for the Development of Scientific Research (SCIENCE). PhD. in Statistics (University of Southampton, 1997). I am an elected member of the International Statistical Institute (ISI), an associate editor of the Statistical Journal of the IAOS and the Revista Brasileira de Estatística, and was President (2019-2021) of the International Association of Survey Statisticians (IASS). My main areas of interest are official/public statistics, survey methods, statistical modeling of survey data, small-area estimation, and statistical education.

With each new wildfire season comes talk that the new season is worse than the last. With recent fires raging in the western u.s., the Australian bush, the Taiga of Siberia, and the forests of France. Many point to climate change as a cause of extreme fires, and scientists are creating more specificated ways of examining that relationship. That is the focus of this episode of Stats+Stories with guest Dr. Jessica McCarty. Dr. Jessica McCarty (@jmccarty_geo) is an Associate Professor of Geography and Director of the Geospatial Analysis Center at Miami University. She has 15 years' experience in applications of geospatial and data science to terrestrial and atmospheric studies. Her expertise includes wildland and prescribed fire, agriculture and food security, land-cover/land-use change, natural resources, and climate change. She has author/co-author of 27 peer-reviewed journal articles, 12 peer-reviewed conference proceedings, 3 book chapters, 4 technical reports, 3 data citations, and 1 NASA Technology Transfer. She has served as Principal Investigator and/or Co-Investigator on NASA, EPA, USDA, and NSF grants on use of remote sensing for prescribed fire, carbon emissions, air quality, LCLUC, and agriculture/food security.

University rankings are big business with highly ranked universities leveraging their ranking and marketing to prospective students, employees and funders. But the process of generating those rankings may not always be so sound that's the focus of this episode of Stats and Stories with guests Elizabeth Gadd and Adrian Barnett. Elizabeth (Lizzie) Gadd is a Research Policy Manager at Loughborough University. She chairs the International Network of Research Management Societies (INORMS) Research Evaluation Working Group and champions the ARMA Research Evaluation SIG. She founded the LIS-Bibliometrics Forum and The Bibliomagician Blog and was the recipient of the 2020 INORMS Award for Excellence in Research Management and Leadership. Adrian Barnett is a professor of statistics who has worked for over 27 years in health and medical research. He is passionate about using the best available evidence in national health and science policy. He is particularly interested in how we generate high quality scientific evidence that is of most value to the public and politicians, and how this evidence gets translated into policy and practice. He writes about statistical issues at Median Watch.