This project seeks to apply explainable artificial intelligence to the challenge of personalizing training for adult citizen scientists. The approach will be developed in the context of the Native Bee Watch (NBW) biodiversity monitoring project that began in 2016 at Colorado State University.
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TEAM MEMBERS:
Sarath SreedharanNikhil KrishnaswamyJill ZarestkyNathaniel Blanchard
We present the assets that collaboration across a land grant university brought to the table, and the Winterberry Citizen Science program design elements we have developed to engage our 1080+ volunteer berry citizen scientists ages three through elder across urban and rural, Indigenous and non-Indigenous, and formal and informal learning settings.
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TEAM MEMBERS:
Katie SpellmanJasmine ShawChristine VillanoChrista MulderElena SparrowDouglas Cost
We used a youth focused wild berry monitoring program that spanned urban and rural Alaska to test this method across diverse age levels and learning settings.
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TEAM MEMBERS:
Katie SpellmanDouglas CostChristine Villano
Plants with persistent fleshy fruits that last throughout fall and into winter and spring are an important source of nutrition for animals and people in boreal, subarctic, and arctic regions, but little information on fruit retention or loss is available for these regions. We evaluated fruit loss for four species across Alaska using data from our Winterberry community science network.
In this study, we examined how two different CCS models, a contributory design and a co-created design, influenced science self-efficacy and science interest among youth CCS participants.
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TEAM MEMBERS:
Sarah ClementKatie SpellmanLaura OxtobyKelly KealyKarin BodonyElena SparrowChristopher Arp
The Arctic Harvest-Public Participation in Scientific Research (which encompasses the Winterberry Citizen Science program), a four-year citizen science project looking at the effect of climate change on berry availability to consumers has made measurable progress advancing our understanding of key performance indicators of highly effective citizen science programs.
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TEAM MEMBERS:
Angela LarsonKelly KealyMakaela Dickerson
resourceresearchMuseum and Science Center Exhibits
An adapted three-dimensional model of place attachment is proposed as a theoretical framework from which place-based citizen science experiences and outcomes might be empirically examined in depth.
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TEAM MEMBERS:
Julia ParrishYurong HeBenjamin Haywood
resourceevaluationMuseum and Science Center Exhibits
Over the course of six years (2016–2022), History Colorado, three Ute Tribes, and archaeology and ethnobotany partners undertook an ambitious, highly collaborative project, called Ute STEM, to explore new ways of looking at the field of Science, Technology, Engineering, and Math (STEM) learning. This final report goes into details about the project and lessons learned.
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TEAM MEMBERS:
Elizabeth CookSheila GoffKate LivingstonShannon Voirol
We explored a long-standing community science partnership between the Science Museum of Virginia and Groundwork RVA, a local organization that connects youth with opportunities to enhance greenspaces in Richmond.