Students are empowered as researchers and advocates through the use of data to create more equitable communities.
- Equity: identifying oppressive systems, policies, and people, centering marginalized voices, promoting social justice, and framing the conversation through an intersectional perspective.
- Education: data literacy, policy literacy, introducing the complexity of ideas and expanding methodologies through interdisciplinary collaboration, providing students with research experiences and developing their scholarly identities.
- Civic and Community Engagement: building relationships with community organizations and government agencies and combining their perspectives with public data analysis to create more effective policies.
- To counter oppressive policies and practices, especially those that disproportionately impact marginalized people.
- To advocate for equitable and evidence-based policies that elevate community voices and concerns.
- To use higher education's research infrastructure to benefit the community.
- To provide and rich interdisciplinary experience to students in their education.
- To develop a collaborative cycle of research and community engagement.
- To analyze and anticipate how policies impact target populations
- To promote public scholarship, transparency, and accountability.
- CSCI 5800 - Big Data Systems
- ETST 3211 - Hip Hop Music & Culture
- HDFR 3020 - Black and Latino Children in Families and Schools
- HDFR 3100 - Adolescent Ecology
- HDFR 4300 - Families in Later Life
- HDFR 7260 - Family Diversity and Social Justice
- MATH 2830 - Introductory Statistics
- MATH 4387/5387 - Applied Regression Analysis
- MATH 4394/5394 - Experimental Designs
- MATH 4779/5779 - Math Clinic
- MATH 4830/5830 - Applied Statistics
- MATH 5320 - Introduction to Mathematical Statistics
- MATH 6384 - Spatial and Functional Data Analysis
- MATH 6388 - Statistical and Machine Learning
- MATH 7594 - Integer Programming
- PUAD 5008 - Evidence-Based Decision-Making
- RSEM 7140 - Management and Secondary Analysis of Large Datasets
- SOCY 3020 - Race and Ethnicity in the U.S.
Metropolitan State University Denver
- MTH 4290 - Senior Statistics Project
- Data Literacy: Depending on their course, participants will learn and apply techniques in statistics, data cleaning, analysis, and visualization.
- Public Policy Literacy: Depending on their course, participants will learn and apply techniques such as policy analysis, effectiveness, equity, cost, feasibility, and assessment.
- Civic Engagement: Participants will be able to present their findings to public officials and dialogue with them about how best to address the problems identified.
- Curriculum Integration: Participating faculty and instructors volunteer their existing courses and learning outcomes to engage with local community needs.
- Interdisciplinary Work: Students and faculty participants from multiple disciplines will have the opportunity to see each other’s presentations, learn from each other, and potentially collaborate on future proposals.
- Professional Communication: Much like a professional research poster session, student teams will design and present their proposals at the D2P Symposium. Participants will learn how to clearly communicate complicated ideas to a general audience.