ConnectEd’s programs are organized by the kind of research experience they provide, not by a fixed list of disciplines. Learners may begin with foundations, develop a particular method, or enter a mentored project that matches their preparation. Schools and institutions can adapt these elements within a broader academic pathway.
An introduction to scholarly inquiry, reading, writing, research questions, and integrity.
It is designed for people beginning formal research or rebuilding the foundations for a new field.
Learn More: Research FoundationsFocused learning in evidence synthesis, R or Python, statistical reasoning, and computational approaches.
Tool selection follows the question and learner preparation rather than a requirement to use every advanced technique.
Learn More: Research Methods & Data AnalysisIndividual or small-group work on a scoped question with structured feedback and research communication.
The question, methods, available resources, and learner preparation determine what is feasible.
Learn More: Mentored Research ProjectsApplication-based research participation shaped by preparation, project fit, and host arrangements.
Eligibility, dates, participation costs, and any funding support are stated in the specific opportunity announcement.
Learn More: Research FellowshipsResearch curriculum and enrichment developed around partner goals and educational requirements.
Collaboration may involve a course, a workshop sequence, a methods module, mentored projects, or a longer school-based research pathway.
Learn More: School & Institutional ProgramsNew to research? Start with foundations. Need a stronger methodological toolkit? Explore methods. Ready to investigate a question? Consider mentored research. Seeking participation in an existing research environment? Learn about fellowships. Building a program for a school or cohort? Explore institutional programs.
Our Program Portfolio includes representative research courses and projects across disciplines. Open an example to view its scope, learning goals, and illustrative session outline. Confirmed past offerings are identified separately from general program examples.
Build a practical starting point for scholarly reading, literature search, research questions, academic writing, and responsible AI use.
Turn public datasets into reproducible analyses using R, research design, regression, and introductory measurement methods.
Use systematic review methods and R to synthesize research evidence and interpret quantitative findings.
Explore human-centered research, interface prototyping, and the evaluation of AI-mediated interactions.
Model hybrid energy systems and explore how data and optimization inform system design and operation.
Explore a selected computational research question using biological data and transparent analytical methods.
Our work spans secondary, undergraduate, graduate, and early-career stages. Each program has its own preparation requirements, and advanced topics may require additional background or a different pace.
Not always. Foundations and methods programs can help you develop the preparation for a project. Mentored research requires an appropriately scoped question, which is refined within the program’s learning process.
No. The portfolio presents representative examples. Other research areas may be considered when suitable expertise, resources, and a feasible educational scope are available.
Relevant instructor or mentor information is shared through the program-planning process with appropriate permission. ConnectEd does not maintain a comprehensive public faculty roster.
A general ConnectEd program listing does not indicate university credit. Any separately approved credit-bearing arrangement must identify the awarding institution and its specific requirements. Participation or completion documentation is not the same as academic credit.
No general catalog listing guarantees publication, admission, a recommendation letter, an award, or an institutional appointment. Decisions by journals, conferences, universities, and individual recommenders are separate from participation in a learning program.
A past-offering label identifies a confirmed delivered program. An illustrative outline explains how the topic can be taught; it is not necessarily the exact syllabus used by a historical cohort.
Participation and funding arrangements vary by initiative and are provided in the relevant announcement. The 2025 PhD Incubator is described as a nonprofit initiative; future arrangements will be announced separately.
Our community initiatives include workshops, faculty-path conversations, and doctoral-preparation mentoring.