As both consumers and purveyors of information, how we interact with data is ever evolving. Now, more than ever, data for good represents a diverse and interdisciplinary effort to engage, educate, and empower the world around us. Statistics in the Community (STATCOM), the Center for Education Design, Evaluation, and Research (CEDER), and the Community Technical Assistance Collaborative (CTAC) invite you to attend the 5th annual Data for Public Good Symposium hosted by the Michigan Institute for Data and AI in Society (MIDAS). The symposium will launch virtually on Thursday, March 24, 2022 and Friday, March 25th and will showcase the many research efforts and university/community partnerships that focus on improving humanity by using data for the public good. Registration is free and open to all!
Schedule
March 24
09:45 AM – Opening Remarks
10:00 AM – Workshop: Equilo
Rachel Elsinga, MBA, MPP
In this workshop, Rachel, Co-founder & COO of Equilo, will share how Equilo’s GESI analysis is used by organizations such as UNICEF, UNOPS, Chemonics, Tetra Tech, FinDev Canada, the 2X Collaborative and more to advance gender equality. From providing rapid gender analysis for the humanitarian response in Afghanistan and Ukraine to working with government representatives in Madagascar to set the national gender agenda to pre-screening investees for gender lens investing, Equilo’s platform uses data to propel organizations from analysis to action in advancing gender equality and social inclusion for a happier, more just world.
Presentation Slides11:00 AM – Q & A Session
Rachel Elsinga, MBA, MPP
11:30 AM – Break
12:00 PM – Research Talks I
View the Research Talks1:00 PM – Featured Speaker
Strategies for transformational change within fire drill data cultures
Kat Hartman, MFA
1:30 PM – Featured Speaker
Datatrail – Biostatisticians Building Inclusive Data Science Communities
Jeff Leek, PhD
The data science revolution has led to massive new opportunities in technology, medicine, and business for people with data skills. Most people who have been able to take advantage of this revolution are already well educated, white-collar workers. In this talk I will describe our effort to expand access to data science jobs to individuals from under-served populations in East Baltimore. I will show how we are combining cloud based data science technologies, high-throughput educational data, and deep, low-throughput collaboration with local non-profits to create a pathway to data science success we call DataTrail. I will also discuss how you can create a DataTrail program in your community. DataTrail illustrates how statisticians have a unique opportunity in this data moment to lead change in the world.
2:30 PM – Alumni Trailblazers Panelist Discussion
Lauren Beriont, Emergence Collective
Rachel Elsinga, Equilo
Tim NeCamp, Data Bloom
3:30 PM – Poster Session via Gather
March 25
09:45 AM – Opening Remarks
10:00 AM – Workshop: Emergence Collective
Laura Urteaga-Fuentes, MSW
Lauren Beriont, MSW
“The longer you swim in a culture, the more invisible it becomes.” That is why we’re carving out time together with Emergence Collective to discuss and apply data and evaluation approaches that are proactively in service of equity. This interactive workshop will investigate common ways white supremacy shows up in data collection and analysis efforts. Participants will begin to learn how to take an anti-racist approach to information gathering approaches that center on continuous improvement and understanding the
impact of mission-driven work.
11:00 AM – Q & A Session
Laura Urteaga-Fuentes, MSW
Lauren Beriont, MSW
11:30 AM – Break
12:00 PM – Research Talks II
View the Research Talks1:00 PM – Featured Speaker
COVID Care: Engaging Diverse Methodological Approaches to Improve Post Hospitalization Care and Support
Sheria G. Robinson-Lane, PhD, RN, MHA
The coronavirus pandemic has resulted in an incredible number of hospitalizations, many of which have included critical care stays within intensive care units. By leveraging available data across health systems and engaging multiple stakeholders throughout the COVID care journey from hospital admission through post-discharge recovery, our teams have been able to identify opportunities to improve COVID care outcomes and develop resources for families. This presentation will review study highlights and challenges and provide strategies for working effectively with large diverse teams.
2:00 PM – Research Talks III
View the Research Talks3:00 PM – Research Talks IV
View the Research Talks4:00 PM – Closing Remarks
Planning Committee
Sara Beu
Evaluation Specialist
Center for Education Design, Evaluation and Research
Kristin Burgard
Partnerships Coordinator
Gerald R. Ford School of Public Policy
Brianna Christy
Technical Assistance, Evaluation, and Assessment Manager
The Edward Ginsberg Center
Efrén Cruz Cortés
Data Science Fellow
Michigan Institute for Data and AI in Society
Stephen Salerno
PhD Candidate
Department of Biostatistics
About the Organizers
STATCOM is a community outreach organization offering the expertise of statistics graduate students – free of charge – to nonprofit governmental and community organizations. CTAC is a community-university partnership convened to serve a universal need identified by community partners around data and evaluation. CEDER is a School of Education center devoted exclusively to offering high-quality designs, evaluations, and research on teaching, learning, leadership, and policy at multiple levels of education. MIDAS collaborates with community partners and supports the application of data science into impactful products, services, and policies, towards a better data-enabled society through their Data Science for Social Good initiative. This symposium is part of our effort to bring together university organizations that promote similar ideals and individuals whose research provides a service for the greater good.
For questions, please contact d4pg-admin@umich.edu.
Symposium Sponsors
