2017-2018 Funded Projects
The Android-based, mobile phone application Abrázame will document domestic violence events by allowing users to safely share social support messages, receive personalized recommendations, and memorialize their stories in English or Spanish (first release). Users will also have access to a map that marks resources for help. Abrázame will give a voice to victims and survivors of domestic violence and their allies.
- Alejandra Amparo, Undergrad, Managerial Economics
- Ke Huang, Graduate, Communication
- Kimmiko James, Undergrad, Computer Science
- Jeffrey Warner, Undergrad, Computer Science
- Sagar Gupta, Undergrad Computer Science
Freedge & the Freedge-Checker
Freedge promotes the installation of community fridges that encourage food sharing and reduce food waste. The Freedge-Checker is an automated monitoring system with sensors and cameras that will help users and cleaning volunteers track the food in each Freedge, also building an inventory of all incoming items.
- Ernst Bertone Oehninger, Graduate, Ecology
- Alexandra Estvan Hill, Graduate, Agricultural and Resource Economics
- Madeline Chen, Undergrad, Computer Science and Mathematics
- Vega Sood, Undergrad, Computer and Electrical Engineering
- Dat Nguyen, Undergrad, Computer Science
HealthAI is a healthcare chatbot deployed through Amazon’s Alexa to provide elderly populations with companionship, access to basic healthcare information, and preliminary medical advice.
- Arbit Chen, Graduate, Computer Science
- Dian Yu, Graduate, Computer Science
- Terry Yang, Undergrad, Computer Science
- Sam Cheng, Undergrad, Mathematics
The Hyperloop Pod Design Team at UC Davis is a student team dedicated to realizing the Hyperloop–a new mode of transportation based on pods moving at transonic speeds in a global network of vacuum tubes. Working towards this goal, we are competing in the annual SpaceX Hyperloop Pod Competition with the purpose of building a half scale, functional pod to race in SpaceX’s vacuum tube.
Machine Learning for Cancer Classification
Machine Learning for Cancer Classification is a machine learning algorithm with a web-interface that allows pathologists to easily upload and classify images of histopathological slides. The algorithm uses visual cues to distinguish both the presence and type of cancer. This application of machine learning technology greatly optimizes the workflow of pathologists, allowing them to spend more time with patients and less time on diagnostic procedures.
- Grayson Cox, Undergraduate, Computer Science
- Orli Feuchtwang, Undergraduate, Computer Science
Stochastic Simulations for Global Food Security
Scientists who work on developing higher yielding and drought tolerant crops are often slowed down by the cost and time to run complete field trials. This team is developing an open-source R package implemented in C++ that runs quantitative simulations on whole genome data to speed up the process of developing new crop varieties.
- Aleksandra Taranov, Graduate, Biostatistics and International Agricultural Development
- Abhay Manu Sawhney, Undergraduate, Computer Science
The More You Know, The More You Grow
The More You Know, The More You Grow is a decision-making tool that combines data collected from specific plant species, soil composition and properties, and environmental conditions to enable more informed precision irrigation and sustainable irrigation practices.
- Shivam Gupta, Undergrad, Mechanical Engineering
- Viktoria Haghani, Undergrad, Genetics and Genomics
- Matthew Sam, Undergrad, Neurobiology, Physiology, and Behavior
- Diwash Shrestha, Undergrad, Biochemistry and Molecular Biology
About the CITRIS Tech for Social Good Program
The CITRIS Tech for Social Good Program at UC Davis provides funding support to undergraduate, graduate, and postdoctoral students, groups, teams or organizations developing hardware, software, events or programs that support healthy, sustainable, connected, and equitable livelihoods in the United States and abroad.
Funding is awarded in two tracks:
The Tech Development Track provides funding support of $500 – $5,000 for projects that promote social good by supporting healthy, sustainable, prosperous, and equitable livelihoods within the United States and abroad. Projects that develop online tools, including social media, mapping interfaces, and websites to enhance public engagement in cultural, political, social, and economic issues are encouraged, as well as innovative business, marketing and development applications.
The Student-Led Events Track provides funding support of $200 – $1,000 for UC Davis individual students, student organizations or student groups to develop events or programming that improve and support technological innovations that support healthy, sustainable, and connected communities. Events and programming that support diversity and inclusion in tech are also encouraged.
More info & to apply: davis.techsocialgood.org