## 4 Results
### Participant Expectations from Interviews and Survey Open Questions  
After processing the open questions and interviews, we noted additional participant expectations. Analysis of frequent keywords in responses revealed that \"monitoring\" was commonly mentioned in both countries, appearing more than 10 times. Ecuadorian responses included keywords like analysis, data, management, mapping, and satellite, whereas Bolivian responses highlighted terms like illegal, agricultural, change, artificial, and forest. Figure 8 displays word clouds of individual keywords. Figure 7: CS applications responses by respondents’ specialties in Bolivia. In Ecuador, open question responses highlighted a multifaceted approach to agriculture, emphasizing sustainable and agroecological practices integrated with artificial intelligence to enhance food security through precision agriculture, efficient irrigation, and bio-inputs. Specialized practices such as beekeeping, hydroponics, and pisciculture were noted, alongside strategies for pest control and disease management to optimize productivity and environmental health. In terms of climate, the focus was on risk analysis, storm prediction, and monitoring climate change effects, including ENSO phenomena and paleoclimatology. Weather prediction models and early frost warnings were discussed for better preparation against climatic events. Environmental management concentrated on combating deforestation, desertification, and forest fires with mapping, reforestation, and biodiversity conservation efforts. Techniques included glacier monitoring, pollution control, air quality monitoring, and vegetation analysis for conservation. Water management was a significant concern, with emphasis on monitoring freshwater resources, lake and river levels, and watershed studies. Keywords for managing landfills and waste were also mentioned. Marine responses underscored the importance of coastal and mangrove reforestation, erosion control, and maintaining seawater quality, alongside sustainable fishing practices and maritime safety, including monitoring shipwrecks. Risk management strategies were focused on developing models for disaster prevention and response, enhancing early warning systems, and community training for natural threat monitoring such as floods, droughts, fires, mass movements, eruptions, and earthquakes. Interest was also expressed in using Copernicus to strengthen and diversify data, reduce data production time, and enhance validation processes for risk management. Security discussions covered illegal crossings, port activities, and unauthorized mining and crop cultivation, with a special focus on cannabis legislation. Sentinel data processing responses included the use of machine learning and deep learning for satellite image processing, change detection, and area mapping. Techniques like SAR data processing and multispectral analysis were highlighted, alongside the development of prediction models and automation processes using Python, open-source software, and Copernicus cloud platforms for data management and analysis. Survey responses from Bolivia highlighted a significant interest in agricultural topics, including agricultural expansion, land use changes, and enhancing farming efficiency through techniques such as parcel delimitation, yield modeling, and risk forecasting. Responses also focused on soil productivity, sustainable practices, and the cultivation of both traditional and agro-industrial crops. Climate-related responses centered on modeling the impacts of climate change on agriculture and analyzing dynamics like temperature,  
Figure 8: Word clouds derived from keywords in open questions from Bolivia and Ecuador. humidity, precipitation, and greenhouse gas emissions. Environmental concerns emphasized research on water resources, monitoring of eutrophication and sedimentation, glacier studies, biodiversity conservation, ecosystem protection, endangered species preservation, management of non-timber forest products, and national park conservation.