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SMART Objectives Summary (Landscape Format)
| # | Proposal Title | Objective | Specific | Measurable | Achievable / Assumptions | Relevant [^1] | Time-Bound |
|---|---|---|---|---|---|---|---|
| 1 | Apopo – Sniffers | "Support 1–3 of Apopo’s mission using sniffer animals with geo-data, physio- and enviro-monitoring, and emerging tech." | Identify 1–3 mission areas (landmine, TB, wildlife trade); select monitoring sensors. | # of missions supported; # of trained animals; data accuracy %. | Apopo partnership secured; access to handlers and sensors. | Strengthens humanitarian detection via trained animals. | Initial prototype and data trial within 12 months. |
| 2 | Dog & Cat Nutrition – Crowd-Sourced Data | "Collect crowd-sourced data to contribute to a LLM or other analysis using emerging tech." | Gather dietary and behavioral data via app or form. | # of pet owners, # of entries, data completeness. | Use gamification and small incentives to sustain engagement. | Improves pet health and industry data. | Beta release in 6 months; dataset of 10K entries by 12 months. |
| 3 | OpenExo – Open-Source Modular Exoskeleton | "Collaborate with SweetBio for diabetes wound care and/or Dr. Karl Zelik for scoliosis support." | Develop pilot module (mobility or wound care). | # of working prototypes; initial biomechanical results. | Secure research mentorship; 3D printing access. | Aligns with assistive biomedical tech innovation. | MVP prototype in 9 months; field test Year 2. |
| 4 | Micro-location for Apopo | "Support Apopo’s mission to find landmines using sniffer animals with geo-data." | Integrate micro-location (GPS/UWB) tracking with sniffer animals. | Precision level (m); # of field tests; reduction in search area %. | UWB/GPS hardware accessible; Apopo field collaboration. | Increases safety and precision of humanitarian missions. | Prototype within 9 months; field test in 1 year. |
| 5 | CodeCrew – Job Readiness Tracker App | "Provide better info and timeline for students to be interview- and application-ready starting in Module 1." | Create modular steps, checklist, and notification system. | % students using app; % securing jobs within 4 weeks post-grad. | CodeCrew data and stakeholder access; pilot integration. | Improves student employability and outcomes. | Pilot test in next student cohort (3–6 months). |
| 6 | Outdoor Afro – Memphis Boost | "Showcase Memphis’ outdoor and health resources to the African American community by boosting Memphis content and ratings." | Collect local data and boost app content with visuals and descriptions. | # of listings, views, engagement, ratings. | Collaboration with Outdoor Afro + Memphis partners. | Promotes outdoor equity, visibility, and health. | Module live within 6 months; review quarterly. |
| 7 | Zooniverse – Open Research Extension | (Objective TBD; aligns with citizen science and AI-assisted ecology.) | Enable tagging, annotation, or model testing via open platform. | # of users; # of datasets labeled; participation rate. | Zooniverse API access; project alignment. | Expands citizen science and data literacy. | Pilot in 9–12 months. |
| 8 | Ducks Unlimited – Habitat Mapper App | "Develop a lightweight app or prototype to map and track wetland or bird habitat observations with photo and GPS data." | Create simple web/mobile form for field observations. | # of submissions; # of unique users; data completeness %. | Publicly available habitat data; basic coding (JS/React/Leaflet). | Supports DU’s mission to restore and monitor wetlands. | Launch prototype in 6 months; seasonal review Year 1. |
[^1]: Zooniverse is a citizen science platform that supports public participation in real research projects across ecology, space, and humanities. See: https://www.zooniverse.org
SMART Analysis of Project Objectives - Gemini
| # | Proposal Title | Objective (quoted) | Specific (S) | Measurable (M) | Achievable / Assumptions (A) | Relevant (R) | Time-Bound (T) |
|---|---|---|---|---|---|---|---|
| 1 | APOPO - Sniffer Monitoring System | "Develop and pilot a Proof-of-Concept (PoC) micro-location and physiological monitoring system for a team of APOPO sniffer animals to precisely map their search paths and performance metrics in the field." | Develop a PoC system integrating geo-data and physio-sensors. | Binary: PoC is successfully developed and piloted. Precision metrics implied. | PoC is a manageable initial scope; assumes access to animals/handlers. | Directly supports APOPO's operational efficiency and life-saving mission. | Missing: No defined deadline for PoC completion. |
| 2 | Pet Nutrition - Crowd-Sourced Data Platform | "Build a Minimum Viable Product (MVP) data collection platform to successfully gather crowd-sourced feeding, health, and behavioral data for a minimum of 500 dogs and/or cats over a 3-month period." | Build an MVP data collection app/platform. | Quantified: Gather data for a minimum of 500 pets. | Yes, crowd-sourcing a manageable number of users is feasible for an MVP launch. | Directly provides a structured dataset for LLM analysis in pet nutrition. | Quantified: 3-month period. |
| 3 | OpenExo - Modular Exoskeleton Software | "Develop a functional software module/library to support one defined biomechanical function of the OpenExo, targeting either diabetes wound care support or scoliosis motion guidance." | Develop one functional software module (e.g., motion control). | Binary: Module is functional and tested (implied). | Focused task; assumes knowledge/access to required biomechanical specs. | Directly contributes code to the open-source OpenExo project, leveraging university resources. | Missing: No defined deadline for module completion. |
| 4 | APOPO - High-Precision Micro-location | "Design and build a prototype micro-location hardware and software system capable of recording an animal's position with sub-centimeter accuracy in a controlled test environment, and integrate this data with a basic mapping interface." | Build a prototype system with hardware/software positional tracking. | Quantified: Must achieve sub-centimeter accuracy. | Achievable in a controlled test environment for a prototype system. | Directly addresses the critical need for precise location data in demining/detection. | Missing: No defined deadline for prototype completion. |
| 5 | Code Crew - Job Readiness App | "Develop and launch an MVP mobile/web application providing a module-by-module job search timeline, achieving a 90% student engagement rate within the first cohort." | Develop an MVP app with job search timeline and tracking tools. | Quantified: 90% student engagement rate. | Feasible with program integration and dedicated student support. | Directly improves student job readiness and placement rates for the program. | Quantified: Within the first cohort (a strong, specific time constraint). |
| 6 | Outdoor Afro App - Memphis Content Boost | "Implement a data aggregation and initial content generation tool that utilizes web scraping and community feedback to populate the Outdoor Afro app with a minimum of 20 high-quality, verified Memphis outdoor resource listings and an initial content-based rating." | Implement a tool and populate the app with resource listings. | Quantified: Minimum of 20 verified resource listings. | Focused and achievable task; assumes collaboration with the Outdoor Afro team. | Directly supports the mission of promoting outdoor resources to the African American community in Memphis. | Missing: No defined deadline for content population. |
| 7 | Ducks Unlimited - Habitat Mapper App | Develop a novice-level web application that aggregates open-source geological and satellite data to create an interactive map for citizen scientists, highlighting potential habitat restoration sites in a local region. | Develop a web app using open-source data (e.g., from USDA/USGS) focused on one local watershed. | Quantified: Aggregation of two public data sources; one interactive map feature (e.g., site selection). | Highly feasible for a novice project using public APIs (e.g., Mapbox, Leaflet). | Aligns with Ducks Unlimited's conservation and data-driven habitat preservation. | MVP launch and demonstration with the data sources connected within 6 weeks. |
$^1$ Zooniverse: The Zooniverse objective was removed as a primary entry but remains a strong theme, aligning with the use of emerging tech for citizen science data classification. It would require a specific partner project to define a measurable objective.