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Dead Stars Society (DSS): Astrophysics Partnership

Updated 12 July 2026
  • Dead Stars Society is a cross-institutional research partnership that integrates community college and four-year institution students in observational astrophysics.
  • The program employs peer instruction and structured mentoring to teach advanced data analysis techniques using facilities like Chandra, Rubin Observatory, NICER, and NuSTAR.
  • It enhances STEM inclusivity by offering hands-on research experience, professional development, and transferable skills to under-resourced students.

Dead Stars Society (DSS) is a cross-institutional undergraduate research partnership in observational astrophysics designed especially to include community college students in research that is usually difficult for them to access. It is not a formal society in the traditional sense, but a coordinated research-and-mentoring program built around a shared astronomy project, peer instruction, and collaboration between a community college and nearby four-year institutions. Its stated focus is observational astronomy, specifically stellar science with the Vera C. Rubin Observatory, and X-ray astronomy with Chandra, NICER and NuSTAR, while its educational design combines authentic research participation with structured mentoring, public-facing documentation, and cohort-building practices (Dage et al., 19 Sep 2025).

1. Institutional conception and stated purpose

DSS was created to address a well-known gap in STEM education: undergraduate research is highly beneficial, but it is much rarer at community colleges because those institutions are focused primarily on teaching, often have limited time and resources for research, and may lack established connections to research-active faculty. The program therefore centers community college participation while embedding that participation in an active research environment.

The paper presents community colleges as a crucial and often overlooked part of broadening participation in STEM, because they educate a highly diverse student body, including many first-generation students, working students, veterans, students with children, and students with disabilities. DSS accordingly serves community college students interested in STEM, especially astronomy and physics, while also involving students from neighboring four-year institutions. The program was started by a professional astronomer who had himself been a former community college student and wanted to create research opportunities and professional development for students from under-resourced backgrounds (Dage et al., 19 Sep 2025).

A central clarification in the source description is that DSS is not primarily a membership organization or disciplinary association. Its operative unit is a coordinated research-and-mentoring program. That distinction matters because the program’s main outputs are not formal proceedings or society governance, but student participation in observational astrophysics projects, coauthorship opportunities, transferable skills development, and strengthened pathways into four-year STEM degrees.

2. Partnership architecture and division of labor

The partnership involves Henry Ford College (HFC) as the community college partner, Wayne State University (WSU) as a four-year institution, University of Michigan-Dearborn (UM-D) as another four-year institution, and professional researchers or postdoctoral fellows based primarily at WSU, with faculty support from WSU and UM-D. The paper emphasizes that the partnership was built through a process involving the professional researchers, the HFC instructor, the students, and 4YC faculty advisors (Dage et al., 19 Sep 2025).

Its internal structure is deliberately collaborative and equitable. The CC instructor takes the lead in recruiting and supporting students, while the professional researchers provide scientific training and project direction. The 4YC faculty are less involved in day-to-day management, but they provide administrative help, institutional continuity, and a pathway for transfer students. This division of labor is presented as an explicit response to institutional constraints: CC instructors often have heavy teaching loads and limited incentive or time to run research programs alone, while postdoctoral researchers can contribute expertise and mentoring while also advancing their own research.

The role of postdoctoral professional researchers is especially prominent. They introduce the data-analysis techniques, frame the high-level science questions, support student troubleshooting, help the student-written manuals get started, and ensure that the project stays aligned with publishable research goals. The paper also stresses that, after the initial setup, this became a relatively modest investment of time—about a few hours per week—while still generating publishable research and meaningful student mentoring. A plausible implication is that DSS is designed not only as a student-support model but also as an operationally sustainable mentoring structure for early-career researchers.

3. Student participation, selection, and responsibility

DSS serves community college students first and foremost, though the partnership also includes students from the four-year institutions. Over the period described, 12 students total from the three institutions participated, with an active cohort of about 5 students at any given time. Students were recruited by the HFC instructor based on classroom interest, participation, curiosity, enthusiasm, and motivation, and later also through word of mouth (Dage et al., 19 Sep 2025).

The selection process included a nominal GPA cutoff, but students whose GPA was improving could still be invited. Future career plans were not part of the selection criteria. This is an important programmatic choice: the paper states that the program was intended to remain open to students who showed interest and willingness to learn, not only to those already committed to graduate study or a research career. Students were compensated either through independent study credit or paid positions, and their time commitment varied from a few hours per week up to 20 hours per week, depending on their circumstances.

A distinct student leadership role is the Lead Research Undergraduate Assistant (LRA). The LRA helps with paperwork and administrative reminders, task management, keeping the team organized and on schedule, and maintaining team morale and community. The paper gives this role both a practical and social function, describing it as responsible not only for logistics but also for “team esprit de corps.” In institutional terms, the LRA functions as a coordination layer between faculty or postdoctoral mentors and the broader student cohort.

4. Pedagogical workflow and knowledge transfer

The educational model is organized around a peer-instruction workflow that the authors summarize as “learn it, do it, write it, teach it, recycle it” (Dage et al., 19 Sep 2025). In this workflow, a professional researcher teaches a data-analysis technique to a small group of two or three students; those students apply the method to actual data; they then write a research manual that includes both a high-level science case and detailed procedural instructions; they use that manual to teach other students; and the team revises the manual as gaps and ambiguities are discovered.

This arrangement has several explicit functions. It allows students to gain ownership of the work, develop autonomy, and reinforce their own learning by teaching peers. It also solves a practical scaling problem: once a student-written manual exists, the project can expand to more students without requiring the professional researcher to repeatedly retrain everyone from scratch. The manuals are also made publicly available online, so they can serve as a resource for other undergraduate researchers.

Communication infrastructure is treated as part of the method rather than a peripheral convenience. The support structure combines in-person meetings, video conferencing, and a Slack channel for troubleshooting. The paper states that initial face-to-face contact is especially important for building rapport and helping students feel comfortable asking questions, while Slack proved especially effective for quick troubleshooting and sharing images or questions. This indicates that DSS treats distributed collaboration as a pedagogical variable requiring intentional design.

5. Research domains and scientific progression

The scientific program evolved through three main phases. The first project, running from January to December 2023, focused on reducing and analyzing Chandra X-ray Observatory data to search for candidate intermediate-mass black holes. Students reduced 250 GB of observations and performed a detailed study of 800 individual sources. The team successfully analyzed 150 data sets. The paper describes this project as data-rich and labor-intensive in a way that could not be fully automated, which made it well suited to student involvement once the analysis method had been learned (Dage et al., 19 Sep 2025).

In early 2024, DSS shifted from X-ray astronomy to preparing for science with the Vera C. Rubin Observatory. The paper refers specifically to “interrogating new research tools developed for Rubin Observatory,” and notes that Rubin Observatory staff provided a custom workshop via video conference on analysis notebooks developed for scientists. Although the technical description of the Rubin science itself is brief, the stated emphasis is preparation for data-intensive observational astronomy using Rubin-era tools and workflows.

In 2025, the program moved into timing neutron star low-mass X-ray binaries to search for quasi-periodic oscillations (QPOs) in data from NICER and NuSTAR. This established continuity with high-energy time-domain astrophysics while preserving the same scalable project logic: once students learn the analysis technique, they can apply it to many objects in a source list, with some human-guided intervention required.

Thematically, this 2025 direction places DSS within the study of compact stellar remnants. In stellar-evolution terminology, a neutron star is the collapsed remnant of a massive star after nuclear fuel exhaustion and collapse under gravity (Konar, 2017), while white dwarfs are the compact remnants left after ordinary stars have exhausted nuclear fuel and shed their outer layers (Koester et al., 2011). This suggests that the program’s name aligns naturally with a research domain centered on stellar remnants and other compact objects, even though the program’s project portfolio also includes Rubin-based stellar science and black-hole searches.

6. Cohort culture, professional development, and evaluation

DSS is not restricted to technical training. The paper explicitly lists broader educational goals: learning what STEM research is, building STEM self-efficacy, strengthening STEM identity, improving transfer success to four-year institutions, helping students persist to degree completion, and increasing interest in graduate school (Dage et al., 19 Sep 2025). Students also received training in introductory Python and data management, and they participated in professional development activities such as a workshop on “Mentoring Relationships and Owning Your Career.”

Conference participation and local astronomy culture are integral components of the program. Students were encouraged to attend astronomy conferences, including local meetings and national events like the Rubin Community Workshop and the American Astronomical Society meeting. Several students presented at the local Compact Objects in Michigan and Ontario (COMO) conference; in 2023, three students attended and one presented, and in 2024 HFC hosted COMO on campus with five student researchers attending and one giving an overview of the Chandra and Rubin projects. HFC also hosted its first astronomy conference, and students contributed to the college’s broader educational mission through work in the planetarium and public outreach events.

The program includes explicit rituals of belonging. Students were initiated into the “Dead Star Society” through a ceremony involving a poetry reading, usually Invictus, and the bestowal of an “ASIB” token, glossed in the paper as “a star is born.” Additional tokens are given at anniversaries or to commemorate milestones such as presentations and publications. The paper treats these practices as mechanisms for building identity, belonging, and group cohesion rather than as ornamental traditions.

The paper is equally direct about practical challenges. Computing barriers were solved initially by using virtual machines on students’ personal laptops, later supplemented by refurbished laptops obtained through the LSST Discovery Alliance. Communication across institutions required intentional effort, especially because the professional researchers were not always physically present at HFC. Terminology and jargon had to be handled carefully because many students were early in their astronomy training and sometimes had not taken an introductory astronomy course.

Assessment is presented as an area still under development. The paper does not report formal quantitative assessment results such as survey scores or statistical effect sizes, but it does state that an external evaluator collected feedback via a focus group. The authors recommend more robust future assessment of outcomes such as science identity, ownership of learning, self-efficacy, and belonging, using validated surveys and focus groups. In that sense, DSS is presented as a successful example of a cross-institutional research partnership whose qualitative outcomes appear strong, while its formal evaluative framework remains incomplete (Dage et al., 19 Sep 2025).

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