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COVID-19 Collaboration Opportunities

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COVID-19 is having a substantial impact on our students and broader research community, such as job or internship offers that are being rescinded.  At the same time, many new research projects and collaborations are being launched to address the pandemic.  HAI would like to create a clearinghouse for COVID-19 research collaborations and other opportunities, such as RA positions, internships, or funding opportunities.

If you have an opportunity, please use the linked web form and we will post it on our website.

 Research Collaborations

Contact: Pablo Paredes

Email: paredes@cs.stanford.edu

Project Title: Home Sweet Office in the Age of COVID-19: An Online Platform for Stress and Productivity Management

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-05-01

Project Description: Dr. Pablo Paredes and collaborators have been studying stress-management and are in the process of generating a platform dubbed “Home Sweet Office” which provides a set of tools via an easy-to-install Chrome browser plugin. The platform can support personal productivity by managing procrastination in online behaviors (e.g., abusing social media, over consumption of multimedia content, other maladaptive behaviors) and provide just-in-time stress management as well as emotional regulation interventions. We foresee that these tools will not only be necessary and useful during current “shelter-in-place” periods, but perhaps more importantly, during a longer phase of adaptation to the expected long-term effects of the pandemic. We are intensively working to accelerate the development of a “minimum viable product” (MVP) version of this platform that we believe will be of great help to users during the COVID-19 and allow researcher to study causal links between stress and productivity.

Contact: Daniel Rubin

Email: dlrubin@stanford.edu

Project Title: Clinical Prediction in COVID-19 Using Multi-Modal Data

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-04-01

Project Description: Our group has developed multi--modal AI models that integrate clinical data (patient notes using ontology-enhanced semantic word embeddings) and image data (using LSTMs) across multiple patient visits (longitudinal data) to make clinical predictions in different diseases. We wish to apply/extend our models to making clinical predictions using longitudinal data in COVD-19 patients (e.g., who will need ventilator, survival, etc). The amount of data of Stanford is limiting, and we have also created methods for federated training of deep learning models so we leverage data from other sites without requiring data sharing. We are collecting clinical data and image data from Stanford and we are also forging collaborations with other centers in the USA and abroad to increase the data available. 

Contact: Savannah Thais

Email: sthais@princeton.edu

Project Title: Science Responds

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-04-13

Project Description: This collaboration has been set up by some “Big Science” (particle physics and related fields) researchers, research software engineers and computational science researchers to: Make connections to enable (non-medical) researchers to contribute to understanding and combating this global problem and/or its economic and societal impacts. How can researchers with significant data analytics, machine learning, simulation, software, computing, hardware development and organizational skills contribute? Are there places where marshaling large “Big Science”-style distributed teams to tackle problems can be useful? Explore how all types of research activities can adapt and be effective in an era in which face-to-face meetings and travel are greatly reduced and conferences are being canceled. What are the lessons being learned and new ideas for how to approach this?

Contact: Amil Khanzada

Email: info@virufy.org

Project Title: Virufy: Smartphone Detection of COVID-19 with AI

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-03-29

Project Description: We are a global, youth-driven, expert-advised team developing a smartphone app that can be used by anyone in the world to find out their COVID-19 risk status in seconds. Our tool utilizes machine learning to identify patterns inaudible to the human ear by analyzing the unique respiratory patterns of individuals infected with COVID-19. We envision Virufy as a pre-check tool for COVID-19 diagnosis, helping hospitals prioritize vital resources such as PCR tests, while also providing individuals with information to make well-informed decisions about their own health.

Contact: Ahmad Al-Kabbany

Email: alkabbany@ieee.org

Project Title: Breathomics, Blood Oxygen Level, and Coughing Patterns-Based Public Sensing for Outbreak Control of Respiratory Diseases

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-05-01

Project Description: This research project aims at validating the feasibility of a system to combat outbreaks of viral respiratory diseases using participatory crowdsensing. The proposed system depends on the integration of four parts. The first part analyzes the metabolism of exhaled air (breathomics), the second part measures the blood oxygen level, the third part analyzes and classifies cough sounds, and the fourth part is a mobile app that detects coughs through patterns of body vibrations using mobile sensors. It also facilitates the collection of the aforementioned vital signs, and the mapping of the risk areas of outbreaks. The first three parts will be integrated into one device, and it will be available through access points in public places and airports. The person gets connected to the device using Bluetooth then the person measures the various vital signs. The role of the app will be extended beyond the measurement points by its ability to detect the severity and frequency of coughing.

 Funding or Grant Opportunities

Contact: Google Cloud

E-mail: gcpresearchcredits@google.com

Project Title: Google Cloud Credits for COVID-19 Research

Website:  https://edu.google.com/programs/credits/research/?modal_active=none

Project Start Date: 2020-04-01

Project Description: Google has committed $20 million in GCP Research credits for companies, government agencies, non-profit organizations and academic institutions pursing COVID-19 related research. 

Contact: Fast Grants

E-mail: fund@fastgrants.org

Website: https://fastgrants.org

Project Start Date: 2020-04-1 through 2020-10-31

Project Description: If you are a scientist at an academic institution currently working on a COVID-19 related project and in need of funding, we invite you to apply for a Fast Grant. Fast Grants are $10k to $500k and decisions are made in under 48 hours. If we approve the grant, you'll receive payment as quickly as your university can receive it.

Project Title: COVID-19 High Performance Computing Consortium

Website: https://covid19-hpc-consortium.org/

Project Start Date: 2020-04-01

Project Description: The Consortium is a private-public effort spearheaded by the White House Office of Science and Technology Policy, the U.S. Department of Energy and IBM to bring together federal government, industry, and academic leaders who are volunteering free compute time and resources on their world-class machines.  Researchers are invited to submit COVID-19 related research proposals to the consortium via the online portal, which will then be reviewed for matching with computing resources from one of the partner institutions.

Contact: Mozilla Open Source Support (MOSS)

Project Title: Mozilla Open Source Support Awards

Website: https://blog.mozilla.org/blog/2020/03/31/moss-launches-covid-19-solutions-fund/

Project Start Date: 2020-04-01

Project Description: Mozilla was born out of and remains part of the open source and free software movement. Through the Mozilla Open Source Support (MOSS) awards program, we recognize, celebrate, and support open source projects that contribute to Mozilla’s work and to the health of the Internet. MOSS broadens access, increases security, and empowers users by providing catalytic funding to open source technologists.

Job Opportunities

Name of School/Company/Organization: MOBILOITTE

Contact: Jagdish Harsh

E-mail: jharsh@mobiloitte.com

Project Title: Blockchain Based Supply Chain Model for PPE

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-05-18

Project Description: Mobiloitte Group is working on a Hyperledger Fabric based Supply Chain project for setting up a transparent blockchain powered supply chain for PPEs (Personal Protective Equipment) 
At all stages, all approvals and handing over of goods are executed through smart contracts. It is a private permissioned network.
Reporting section is set up through machine learning and AI. 
Technology Stacks and Skills sets: 
Python
PostgresSQL
Hyperledger Fabric
Hadoop

Name of School/Company/Organization: stealth-mode HealthTech Inc.

Contact: Anna T.

E-mail: laikingt@ieee.org

Project Title: Human-centered mobile health platform for COVID-19

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-05-06

Project Description: This is a project on a comprehensive patient & caregiver-centered mobile health platform which is disease-agnostic, with features that can support COVID-19, e.g. detection, monitoring of health conditions. The prototype needs more work before it can be used. The goal is to help those who are infected to keep track of their health conditions, as they start to develop symptoms of COVID-19, and to get timely medical care as their conditions deteriorate from mild to serious. The original concept is based on the Global BioDesign process, using Design Thinking approach, and has been evolved for various use cases including prevention health.
There are new features to be developed as extensions, and/or as a new project. The goal is to help people avoid getting infected by the virus, especially as people starting to resume regular activities in the public.
Immediate needs are: mobile developers/ software engineers; UI/UX designers and other collaborators are welcome to contact as well.

Contact: TechCongress

Website: https://www.techcongress.io/congressional-digital-service

Project Title: The Congressional Digital Service Fellowship

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-06-15

Project Description: The COVID-19 pandemic has transformed Congress into a remote and virtual institution literally overnight. Capitol Hill was not prepared for this moment and is now confronting a number of urgent digital challenges. We are looking to immediately recruit a small collaborative tech team for an eight-month fellowship to help Congress manage this critical moment. You can read more about our fellowship strategy on our blog.

Research Assistant Opportunities  

Name of School/Company/Organization: U.C. Berkeley

Contact: Joshua Blumenstock

E-mail: jblumenstock@berkeley.edu

Project Title: Using machine learning to improve targeting of emergency COVID-19 assistance in developing countries

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-05-18

Project Description: Joshua Blumenstock and collaborators at Yale, MIT, and Northwestern are recruiting research assistants (grad or talented undergrad) to assist on several rapidly moving projects to guide Covid-19 response in developing countries. They are working directly with government officials in multiple countries to design and evaluate their social safety net programs, and to improve their response time by integrating mobile phone and satellite data. 
The team needs someone who can work full time over the summer, with the possibility of extension into the Fall. Compensation will be commensurate with experience.
Qualified research assistants must be comfortable processing and analyzing large datasets (python/spark/linux), and have solid training in machine learning and/or applied econometrics. Experience with front-end data visualization is a plus (including python packages, D3 or R Shiny, and general web development). If you are interested, please email jblumenstock@berkeley.edu and emilyaiken@berkeley.edu with title “COVID RA application: Your Name” with a CV, transcript, two references, and examples of code you have written (or links to github/websites).

 

Name of School/Company/Organization: Jodhpur School of Public Health ( JSPH)

Contact: Anil Purohit

E-mail: anil.purohit@jsph.in

Project Title: Establishing Tele Medicine Program / Establishing PH Certificate/ MPH online

Is the opportunity only open to current Stanford students, faculty, or other researchers? No

Project Start Date: 2020-09-01

Project End Date: 2021-08-20

Project Description: Assist in Establishing Telehealth/ Telemedicine Program for Rural Rajasthan with focus on Covid-19 among all other diseases.
With Covid-19 Virtual health visits are the new norms. Given the current pandemic online courses are in great demand; hence, adding an arm of online certification in various public health disciplines and degree programs - the intern or RA will play a Major role in establishment. Living or local expenses will be available. Potential opportunity for Faculty on Sabbatical or research collaboration

 

 

Industry Opportunities

Company: Google

Google Cloud Research Credits

Apply for research credits for Google Cloud Platform (GCP) to study potential therapies and vaccines, track critical data, and identify new ways to combat COVID-19. 

COVID-19 Public Dataset Program

To aid researchers, data scientists, and analysts in the effort to combat COVID-19, we are making a hosted repository of public datasets free to access and query through our COVID-19 Public Dataset Program.  Data Set Search tool.

COVID-19 Research Explorer

As a response to the COVID-19 pandemic, Google Research is providing this AI-powered tool that will help researchers and scientists scour through the COVID-19 Open Research Dataset (CORD-19) using neural networks for natural language understanding.