BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//ifkw.rz.tu-bs.de//citizen-science-communication-trust-20 26//speaker//YEXFZN BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-citizen-science-communication-trust-2026-3WWLA7@ifkw.rz.tu-bs.d e DTSTART;TZID=CET:20261006T113000 DTEND;TZID=CET:20261006T114500 DESCRIPTION:1 Introduction\nOver the past two decades\, citizen science (CS ) has evolved from amateur naturalist observations into a mainstream\, wel l-funded research method that expands data collection and democratizes kno wledge production. However\, mainstream literature often assumes a univers al development trajectory shaped by early Anglo-American biodiversity moni toring models. This monolithic view obscures deep heterogeneity in how pub lic participation operates across political\, cultural\, and infrastructur al contexts. National environmental policies\, digital and physical infras tructure\, and local social vulnerabilities fundamentally determine which disciplines engage the public. This study maps disciplinary distributions of CS in the United States\, Germany\, China\, and India to reveal nationa l scientific priorities and social dynamics. Using bibliometric visualizat ion and STS theory\, it addresses two core questions: What disciplinary pa tterns distinguish the four countries in absolute output and global compar ative advantage? And how do Science-Society Contracts explain these nation al preferences? \n2 Methodology\nData were extracted from the Web of Scien ce Core Collection\, yielding 25\,320 peer-reviewed publications about CS. VOSviewer was used for visualization based on WoS subject categories\, wi th node size weighted by publication volume. Two metrics were used: absolu te disciplinary volume to show mainstream focus\, and relative global shar e to identify comparative advantages or specialized niches. \nFour countri es were selected for their distinct socio-political and scientific systems : the U.S. as a decentralized civil-society-led pioneer\; Germany as a mod el of strong EU environmental governance\; China as a rapidly rising tech power with massive state and AI capacity\; and India as a representative L MIC facing resource constraints.\n3 Results: National Profiles of Citizen Science\nGlobal CS is anchored by a dual core of ecology/environmental sci ence and public health\, but national patterns differ dramatically. \n3.1 United States: Rights-Based Contract\nThe U.S. CS landscape is dominated b y public\, environmental\, and occupational health\, alongside prominent c lusters in psychology\, social work\, and education. Its global comparativ e advantage lies in law\, ethnic studies\, religion\, women’s studies\, and specialized clinical fields including transplantation\, allergy\, and surgery. CS functions as a tool for environmental justice and grassroots a dvocacy. Citizens collect environmental and health data to challenge insti tutional racism and corporate pollution\, often using evidence in legal se ttings. Patient-led research platforms allow people with rare or complex c onditions to crowdsource symptoms and influence clinical trial design\, ma king CS a vehicle for political negotiation and bodily autonomy.\n3.2 Germ any: Regulatory Contract\nGermany’s CS is strongly concentrated in ecolo gy\, environmental science\, zoology\, and agronomy\, with far less emphas is on public health and social advocacy. It holds comparative advantages i n highly technical fields such as neuroimaging\, cell and tissue engineeri ng\, paleontology\, quantum science\, and industrial relations. CS support s compliance with EU environmental directives and serves as an extension o f state monitoring systems. High institutional trust enables gamified prec ision science projects\, where citizens complete standardized micro-tasks such as annotating neural pathways. Labor-focused research also reflects E uropean concerns about Industry 4.0 and green transition impacts on worker s.\n3.3 China: Developmental Contract\nChina’s CS emphasizes ecology\, p articularly urban biodiversity\, paired with strong nodes in computer scie nce\, AI\, information systems\, and engineering. It leads globally in inf ectious diseases\, virology\, imaging science\, computer hardware\, and ae rospace engineering. This model reflects state-backed science popularizati on and AI-for-Science (AI4S) infrastructure. Mobile super-apps lower parti cipation barriers\, while image-recognition systems turn citizens into eco logical data collectors. CS is non-adversarial and tightly linked to forma l science education\, aiming to improve national scientific literacy and S TEM workforce development rather than drive social advocacy.\n3.4 India: U tilitarian Contract\nIndia’s CS centers on public health\, ecology\, agr iculture\, and water resources. It holds strong global advantages in bioma terials\, microscopy\, agricultural engineering\, biotechnology\, and wome n’s studies. Under limited formal infrastructure\, CS serves survival an d livelihood needs. Farmers crowdsource data on crop diseases\, pests\, an d water availability. Frugal innovations such as Foldscope paper microscop es enable community-level biological monitoring without laboratories. CS a lso supports research on gender inequality\, domestic violence\, and mater nal health\, empowering marginalized groups through grassroots data collec tion. DTSTAMP:20260721T201002Z LOCATION:Room 1 SUMMARY:Mapping Disciplinary Divergence in Citizen Science: A Cross-Nation al Comparison of Science-Society Contracts - Zhigang Hu URL:https://ifkw.rz.tu-bs.de/citizen-science-communication-trust-2026/talk/ 3WWLA7/ END:VEVENT END:VCALENDAR