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COVID-19 projects looking for volunteers

New or established projects helping with the COVID-19 crisis that need help. Volunteer yourself or create a new one. Sign up to volunteer.

  • AI company Gero has reviewed the existing drugs and other agents tested on humans and found potential coronavirus treatments. The list of found drugs has been released to initiate urgent clinical trials.

    Gero, the leader in AI-driven drug discovery, has used its AI platform to identify the potential anti-COVID-19 agents that have been previously tested on humans. Six of them have been approved, three were withdrawn, and the other nine have been already tested in clinical trials. The emergency of the situation, as well as the legal and regulatory status of these agents, make it possible to start immediate clinical trials for most of the suggested drugs and collaborations.
    More details on
    https://gero.ai/COVID-19

    Helping with:
    Looking for:
    Remote
    created
  • Phone-to-phone video chat without Internet or a Local Area Network needed.

    A single-purpose application allowing high-quality audio and video chat between two nearby mobile devices without external networking. Essentially turning two phones into a pair of video-enabled "walkie-talkies", connected to one another by Wi-Fi signals without any other network or devices involved.

    Intended for use where biosecurity makes direct contact difficult and unsafe, allowing easier communication with patients inside biosecurity zones.

    Primary use-case (based on requests from medics) is a COVID-19 medic checking in frequently with a patient in an isolation room without physically visiting each time.

    Medics can use it to interact more frequently with their patients while conserving PPE and minimizing exposure risk. Families can use it to interact with loved ones that cannot be safely visited in person. Works like a baby monitor, but deployed on any mobile device without additional hardware.

    Open source and freely available to all users. Copyleft in hopes that improvements made by commercial contributors will be shared.

    Helping with:
    Looking for:
    Remote
    created
  • 379 volunteers - sign up to volunteer

    **We are on a mission to connect the dots.
    A plan is underway to bridge information gaps that have been harming our ability to respond to the world-wide pandemic Covid-19. The information needed exists, the technology is capable. What's missing is the connection. An end-to-end global community of partners, contributors and supporters are joining forces to end silos and build a readily available stream of data to those who need it, when they need it.

    **We are building the first Covid-19 data ecosystem
    Many teams are building APIs around the globe. While that is helpful, more is truly needed. We are building a full circle data ecosystem where data owners, aggregators and users can easily share and access data across the world, covering multiple areas around cases, patient data and supplies. Combining a Cloud-based data lake and a set of open APIs, our crowdsourced project is aimed at unifying all current data gathering efforts around Covid-19, to help all the key stakeholders (hospitals, governments and manufacturers) make their critical life-saving decisions.

    >> Think of this as a grassroots initiative to drive data transparency across covid19 across the globe!

    Global / remote
    created
  • 101 volunteers - sign up to volunteer

    Currently information about vaccine and treatment development is decentralized across news outlets, company press releases and social media. There are several excellent examples of infection/death/recovery trackers and maps that provide guidance on the status of the pandemic progression, but it is also important to disseminate accurate information with appropriate caveats and epistemic humility on the progress (or lack thereof) of a potential vaccine and treatments for COVID-19. This would help governments, organizations and businesses better plan in accordance with the estimated timelines and likelihood (or lack thereof) of a potential vaccine, and help understand the timelines for potential treatments, partly so that we can plan the extent of containment efforts (e.g. if trial results for treatments are around the corner, it will motivate stricter containment efforts in the short term). The status of these projects are of interest to everyone in the world right now, so its time we had a central dashboard for everyone to track this progress.

    Helping with:
    Looking for:
    Remote
    created
  • Problem:
    The detection of COVID-19 symptoms requires doctor and hospital visits, or a visit to test sites outside from home. This results in possible transmission or infection of COVID-19, and an increase of doctor visits straining the medical resources available.

    Solution:
    Prognosis, diagnosis and screening for the patients infected with COVID-19 is suggested to be based on breathing characteristics (Wang et al. 2020. https://arxiv.org/abs/2002.05534).
    The detection of breathing patterns can be achieved via facial cameras and machine learning (Chen et al. 2019 https://arxiv.org/pdf/1909.03503.pdf).

    The proposed project is an app that can be installed and used on any smartphone and laptop to detect early symptoms of COVID-19 remotely without leaving the home.
    It uses the detection of breathing characteristics via technological devices accessible to everybody at home with cameras of smartphones/laptop and machine learning, and combines it with the detection of symptoms of breathing characteristics.
    The app could also include mindfulness and meditation exercises to help people reduce stress and anxiety.
    And resources to reach for the nearest hospital, doctor and pharmacy.
    As well as resources for communal support and connection to nearest online groups, help for grocery delivery etc.

    Anywhere
    created
  • 55 volunteers - sign up to volunteer

    COVID19 changed the way we live, work, interact with each other, and even the way we get hospitalized when we need medical care. For many of us, Corona Crisis has or will have in the future an enormous impact on our personal, professional, financial, and medical situation.

    For this reason, we decided to start a community of people with diverse backgrounds, business, financial, medical, psychology, legal, design user experience, human experience, customer experience, service design, research, IT, software, hardware, public sector, and anything else you can think of, willing to spend 1%-5% of their time working together or advising the people working on challenges.

    We launched our beta invitation yesterday, and at the time being, our Design Against Corona community has 52 people from all around the world and seven challenges to work on.

    To propose impactful and feasible solutions, we need more people and more challenges.

    Remote
    created
  • I started Halo to connect scientists directly with companies that can help bring their ideas to market faster in any research area. I'd like to use our platform to connect companies working on COVID-19 with our network of scientists who come from 200+ universities across the world.

    Halo works just like a job site only companies post RFPs around their research interests and scientists submit research proposals. Here's a live example but in Water Research: www.halocures.com/research/water

    Helping with:
    Remote
    created
  • Researchers and ML scientists are using AI to detect COVID-19 in CT and x-ray images. Example: https://github.com/bkong999/COVNet

    Arterys has opened its tech platform to developers working on medical image AI models (marketplace.arterys.com). We need to get these AI models into the hands of researchers and clinicians around the world so that they can validate and improve them and collaborate on AI tools for fighting the pandemic.

    There's already one COVID-19-specific model on the platform: https://marketplace.arterys.com/model/aitroxchestCT

    Remote
    created
  • 28 volunteers - sign up to volunteer

    The COVID-19 Data Repository is a data repository that contains all kinds of information available about the COVID-19 virus, we gather, sanitize, normalize & categorise data daily from sources like NGO's and Governments, to make them available for research.

    The COVID-19 virus is spreading at an alarming rate and the global medical community is still trying to get a grasp on what exactly is needed to fight this disease and prepare for the future.

    People in the medical world are asking the tech community for help to provide solutions. The way we're trying to help is to make sure that all the data that is there is available in easy ways for research. We're trying do this in a few diferent ways:

    - Collect all the data from sources like NGO's and governments
    - Validate, sanitize & normalize the data
    - Categorise the data and create useable datasets for research
    - Make the data available by creating an API & packages for data analysis tools frameworks and languages like R, Python (pip)

    Furthermore the repository contains importer scripts to automatically update the datasets in the repository on a regular basis.

    Link to the github organisation & repos: https://github.com/COVID-19-Data

    COVID-19 Data repository is open source and not associated with any particular company or organisation.

    Remote
    created
  • 24 volunteers - sign up to volunteer

    We’re not sure it’s useful, but it’s probably good to have a large supply of this ready to go if deemed so. Scaling manufacturing at existing approved sites seems like the biggest challenge right now.

    Helping with:
    Remote fine
    created
  • 21 volunteers - sign up to volunteer

    Our team has a prototype of a low-cost, easy-to-use ventilator that is optimized for emergency and mass casualty scenarios. The team is led by Glenn W Laub, MD: a cardiac surgeon and former-CEO/founder of Defibtech LLC, where he brought a novel line of AEDs and other resuscitation devices to market.

    Almost 18 months ago, we recognized that mechanical ventilatory support would be a critically required treatment modality in many emergency situations, and have already spent 12 months working on a prototype for this specific use case.

    The unit is designed to include the most frequently used modes of ventilatory support, including AC, SIMV, and PEEP. The device requires minimal training to set up and use, and despite this was developed to be manufactured for less than $250/unit.

    We're currently looking for funding in the immediate-term for an early production build of our life-sustaining ventilatory technology for COVID-19.

    Remote
    created
  • Tldr: extraction of key paramaters from biological research papers (conclusions, methods, sample sizes). MVP will work manually, then automated (machine learning, natural language processing). Will include semantic mapping of key findings to enable application of AI algorithms to find a cure.

    The number of science publications on SARS-CoV2 and COVID19 is increasing rapidly. It’s extremely hard for scientists and clinicians to stay up-to-date and evaluate the biomedical evidence in a time efficient manner. They have to work on the bench or bedside to invent and administer treatments. Reading the literature and extracting relevant data is extremely time-consuming.

    We make a knowledge engine where the key points of each research paper are quickly summarized (i.e. main conclusions, molecular targets, methods used, sample number, reagents, participants) so that people can quickly find resources, develop new ideas, troubleshoot problems etc. We also aim to include key semantic mappings and then use ML/NLP algorithms to come up with novel hypotheses.

    In the beginning, papers and data will be curated and extracted manually by scientists (we have volunteers, but alway welcome more).

    We have this problem of needing to keep up with all the papers right now ourselves. This needs an urgent solution.

    Looking for:
    Remote
    created
  • We are in the process of accumulating large amounts of data and resources to support larger demographies in the past few weeks and months. But how long these folks in rural and mountain communities need to wait for us?

    The challenge goal: Data-driven project coordination and policymaking
    In this six-month PWG, Omdena AI challenge with Fruitpunch AI, we aim to help rural and mountain community governments and policymakers to make data-driven decisions in order to deal with pandemics and cover some of the following topics.

    When travel is restricted, schools closed, events cancelled, and communities put into quarantine, individuals and businesses in those ecosystems lose their source of income. How does that loss of income impact the health and financial stability of those individuals? What resources are in place currently that supports their needs and growing demands in areas of health, and food security.

    What we will build
    Leveraging the power of global collaboration, the goal is to build AI models that reveal the effects of specific programs and policy decisions being made by governments and institutions on the economically marginalized, especially working in the informal sector.

    In this way, institutions can identify the most effective ways to deal with future pandemics to minimize economic impact and human deaths not only in the short term but also in the midterm.

    Why you should join the challenge
    For the next six months, you will not only build AI solutions to make a real-world impact but also go through an entire data science project lifecycle. This covers problem scoping, data collection and preparation, as well as modelling for potential deployment.

    And the best part is that you will be part of a global collaboration.

    Background Context:
    Mountain region and smaller communities in rural and small urban areas are more vulnerable now more than ever. This project will be conducted to understand and draw attention to alarming facts of the rural, small urban, and mountain communities during this epidemic pandemic #covid9 outbreak: as many of us are aware in 2012, 39 per cent of the mountain population in developing countries was considered vulnerable to food insecurity, which is an increase of 30% compared to the conditions of mountain peoples in the year 2000 studies.

    The situation is even worse if we consider only rural mountain peoples.
    The living conditions of mountain peoples have deteriorated and their vulnerability to hunger has increased. Harsh climates and the difficult, often inaccessible terrain, combined with political and social marginality certainly contribute to making mountain peoples particularly vulnerable to food shortages.

    In mountain areas, where family farming and smallholder agriculture, forestry and animal husbandry are the prevailing farming systems, it is essential to create a supportive, enabling environment in which mountain peoples have access to training, information, credit and healthcare, and benefit from reliable governance systems and infrastructure.

    Some Established Stats:
    Mountains cover 22 per cent of the world’s land surface and are home to some 915 million people, representing 13 per cent of the global population. Mountains also provide between 60 and 80 per cent of the earth’s freshwater. Yet, in spite of this global relevance, there is a dearth of data and information on the status of mountains and mountain peoples.

    Can we understand what is it to live in the mountain regions and smaller communities during these testing times? Can we understand more about these folks who are waiting for someone to appear and help them with tools and resources to keep themselves and their communities safe?

    In 2003, the Food and Agriculture Organization of the United Nations (FAO) published “Towards a GIS-based analysis of mountain environments and populations”, a study that estimated mountain peoples’ vulnerability to food insecurity. What about Health, and Safety?

    The studies in the past were undertaken as a follow-up to the 2002 UN International Year of Mountains, has become a cornerstone of development efforts. It is used and quoted, for as a reference, requesting more investments, specific policies and global attention toward mountains.

    But how much do we know about these communities in these times? What can we do about it? How best can we equip them with resources and tools to protect themselves and their loved ones? We understand and see all countries have locked themselves in, what about these unfortunate folks who relied on larger players and the larger coalition of countries to help them? Can we spare some time and resources to work on these matters?

    We all love going to these mountains, smaller communities for several reasons and now they need us.

    I am the Founder of Project Work Groups - focussed to research and develop sustainable solutions in the mountain and rural regions globally. Proworkgroups.com is our webpage.
    My Twitter Handle: @tekiuday

    Remote
    created
  • 7 volunteers - sign up to volunteer

    A team of data scientists, engineers, and designers in partnership with epidemiologists, and public health officials built a tool [https://covidactnow.org/] designed to spur state and local governments into action to arrest the spread of the coronavirus.

    This tool was built to enable political leaders to quickly make decisions in their Coronavirus response informed by best available data and modeling. It is now being used by government and covid response leaders to answer critically important questions such as:

    - What will the impact be in my region be and when can I expect it?
    - How long until my hospital system is under severe pressure?
    - What is my menu of interventions, and how will they address the spread of Coronavirus?
    One critical request is from a federal government agency hoping to use this model and some of the presentation elements to help coordinate crisis response efforts (i.e. where to send masks).

    The platform is also being extended to support government agencies, medical device manufacturers, and front-line health providers plan for and respond to covid.

    **We are requesting full-time+ help from experienced leaders in engineer, UX, data science, and scalable support system design**

    You can see a full list of job descriptions here:
    https://docs.google.com/document/d/1D6Ni9kaaB7o9Tw-Lwrk3UyziGnCTxteMdmNRfkrhWUg/edit?usp=sharing

    Please fill out this form if you have full-time availability over the next week.

    Remote
    created
  • Crowd sourced clinical trial information about COVID-19 trials, to make finding relevant vaccine and treatment trials faster. ClinWiki is a nonprofit, open source web-based clinical trial platform, in which additional trial information is crowd sourced. Our data is pulled from clinicaltrials.gov and updated nightly.

    remote
    created
  • 6 volunteers - sign up to volunteer

    Our product is an app to assist populations with an early identification of COVID and creating a linkage with Local Health care facilities as well as 3rd level tele-Doctors access .
    More information can be found om our website @ beatcrona.io

    Global
    created
  • 5 volunteers - sign up to volunteer

    A private domain based network for frontline doctors and medical teams to communicate, collaborate and share notes so they don’t have to depend on journals and emailing back n forth. The domain can have sub-domains based on region. So a doctor in Italy can share notes with a doctor in Germany or United States. All the users in the domain are approved by an admin before they can access any content. Already have iOS ready to deploy.
    Will be adding domain level task management for group tasks and workflow apps to capture data in data fields like text, number, date, files etc.
    Access can be requested here: www.hubnow.io

    Remote
    created
  • The World Health Organization has indicated that it will be approximately 18 months before a vaccine for COVID-19 is developed. Using our approach will be more effective in vaccine development and will take half the amount of time it would take WHO to develop a vaccine. I can provide a detailed writeup explaining the pathway/process.

    We propose to harness information encoded by the immune system during active infection to generate therapeutic antibodies and develop vaccines (see model). Our approach is to capture information on immune responses from the active viral infection, amplify this response to develop cells that actively responded to infection. This information is then utilized to produce neutralizing antibodies for treating infected patients. Antibodies produced by B cells generated by our process are utilized to identify antigens using nano/LC/MS/MS for use in vaccine development. Our approach develops a database of all viral antigens to which infected patients body responded. Information gathered will also be useful to assess the efficacy of RNA based vaccines (Moderna and CureVac). Delivery for RNA vaccines is still challenging, and stability remains an issue. Our approach is far superior than any existing vaccine development technology and does not rely on injecting whole heat killed or attenuated pathogen. These old technologies are not only inferior, but they provide only partial protection and may show adverse events. We provide an opportunity to develop a tool kit to quickly respond to viral threats rapidly and cost effectively.

    Helping with:
    St. Louis, Missouri
    created
  • With the unprecedented number of COVID-19 infections on a global scale, chest X-rays has now become an important screening tool alongside viral testing in countries that are most affected by COVID-19, with key advantages being: i) speed, ii) widespread availability (including portable X-ray systems), ii) provides useful information for risk assessment, which one cannot obtain from viral testing.

    The goal of the COVID-Net initiative is to accelerate the open collaborative development of deep learning AI solutions for COVID-19 infection detection and risk stratification, with AI explanations to gain transparency into visual indicators of COVID-19. We have provided not only COVIDx, a large dataset of over 16,000 images across over 13,000 patient cases, but also open source reference models trained on this dataset so that the global community can built upon and improve.

    By leveraging deep learning AI with COVID-Net, we aim to help clinicians improve both sensitivity and specificity by better differentiate COVID-19 infections from other forms of viral infections, which is a current challenge faced given their similarities, as well as assist clinicians with additional knowledge about how COVID-Net detects COVID-19 infections through AI explanations. Furthermore, we aim to build deep learning AI for risk stratification to aid hospitals and clinical sites to help improve patient population management and individualized care based on risk level.

    remote
    created
  • The intention of this project is to connect the environmental specialist to join and have:- regular update about how to limit the spread of COVID and best practice
    - Exchange news ad practices following in hospitals and verify the authenticity of information
    - Develop any robust and easy to adopt technology to prevent the COVID rapid propagation in next few week.
    - Post COVID infection bets practices and research about new environment technologies- Formulate guideline for Industries which are possible effected by environmental changes due to COVID and recommendations for agriculture sector to grow natural immunity boosting products

    Anywhere
    created
  • 4 volunteers - sign up to volunteer

    Recognizing the need for collaborative cross-functional solutions to the Covid-19 situation, a group of Entrepreneurship & Management Professors from Indiana University have adapted the “idea sprint” process -- used by today’s most innovative firms -- to help surface and accelerate ideas focused on helping our community navigate this virus.

    The first idea sprint weekend took place on March 20-22. Over 200 entrepreneurs, technologists, engineers, MDs, VCs, professors, students) from around the world came together to surface ideas and get them to the basic prototype stage by the end of the weekend. "By design, the event was fast and furious – it all took place over just a weekend -- Ideas were related to tech applications, social distancing products/service, remote working, community interventions, health outreach, repurposing of facilities/resources, etc -see link).

    The goals of the program include expanding awareness of the many pain points associated with the virus outbreak and response, championing collective efforts to develop solutions, and if viable orchestrating a collective response through social entrepreneurship and volunteerism.

    We are currently considering future "idea sprints" and we are encouraging other institutions to take our model and launch similar programs with their network of technologists, alumni, students, professors, and other supporters.

    REMOTE
    created
  • 4 volunteers - sign up to volunteer

    Our startup is developing non-invasive diagnostic equipment with AI that can diagnose cancer, diabetes, gastritis (also coronavirus) by breathing. The time of diagnosis will take about 1 minute. The final goal is to help people to identify diseases instantly and slow down the growth in the number of cases.

    Moscow, Russia. We also looking for the volunteers all over the world
    created
  • 4 volunteers - sign up to volunteer

    Rintez Medical Companion is a cross platform app which, at this time, is targeting Coronavirus. I will need your help, your opinions (bad ones, good ones, all matters) and to spread it to the world. The app will be free to use and is looking to scale up different diseases but, for now, we will stick with Coronavirus. Project name is Rintez. I have assembled a team already but anyone who wants to join, please do. This is a verrryy early stage of development. I intend to have it ready until 11 of April. Let me know your thoughts

    Update: we already have 5 volunteers ready to help. Thank you so much for the involvement, the dedication, for the time and know-how you will put in. I have no words, hat off!

    We need medics, researchers, personal involved in the Coronavirus at this time. Please have a chat, spread the message. This will help us a lot to create the proper patterns of recognition, development and treatment of the Coronavirus.

    We are targeting the first release around 11 April 2020 (+/- 2 days).

    The website will be launch in a rough state of development late Thursday (26 March 2020).

    www.rintez.com

    Worldwide
    created
  • 3 volunteers - sign up to volunteer

    Build the WORLDS largest Open Source global community project that is targeted at FIGHTING against COVID-19 TOGETHER!

    The only guideline for Open Covid19 Project is to build tools and applications that enable others to fight against the Coronavirus.

    ==We Are At War==
    As you are aware the world is experience a generational event going though a global pandemic that will have numerous impacts on society as we know it. It is for this reason we would like to come together to help FIGHT COVID-19 by any means necessary.

    ==To ALL Communities==
    We believe in the ingenuity, intelligence, and brilliance of those in the community. That is why we are seeking that this community comes together to help build solutions that will help address the challenges we face not only today, but in the future.

    Global
    created
  • 3 volunteers - sign up to volunteer

    UPDATE: We are partnering with Perception Bio to benefit from their lab space, expertise, and team. Our next biggest area that we WILL need help in is having lab techs to help on cultivating cell lines and chromatography (nickel IMAC). If you have wet lab experience and are in the SF/Mountain View area, please let us know! Timeline would be ~4 weeks as we’re finalizing our various plasmid designs now. Additionally, anyone with a background in infectious diseases, protein expression, or anything else you think would be helpful, we love to have people to bounce ideas off of! Don’t hesitate to get into contact.

    I propose the production of recombinant surface glycoproteins of the SARS-CoV-2 virus from a lentiviral based expression system under the control of the CMV promoter. Lentivirus has successfully been used to produce recombinant proteins in a stable manner from HEK293 cell lines which can be further purified and used for molecular biology or potentially, therapeutics. In our case, we are creating part of the "spike protein" used by SARS-CoV-2 as it represents a key site for generating immune system activation as seen in other coronaviruses. Specifically, the ORF is based on the nucleocapsid phosphoprotein identified from the SARS-CoV-2 sequence available in NCBI (QHD43423.2). The end deliverable will be these purified capsids which can be administered to generate an immune response and subsequently produce NAbs (antibodies) targeting the SARS-CoV-2 virus and preventing or reducing the severity of the disease. This is similar to more classical strategies employed by vaccines with the primary difference being the usage of a lentiviral system to produce the recombinant proteins.
    Key points for the Lentiviral System:
    -very well understood science and mechanisms
    -technically straightforward
    -easily scalable
    -short turnaround times

    Key points for using the selected sequence:
    -defined role in T cell and immunity response
    -defined role in SARS-CoV-2; may be targeting ACE2, S1, and S2 as well
    -similar but more simplistic approach to the vaccine mRNA-1273 developed by Moderna and other mRNA vaccines
    -broadly similar (and assumably efficacious) to other vaccines employing partial viral proteins, empty capsids, etc.
    -no indication that someone is doing this yet

    Helping with:
    Looking for:
    Remote/Willing to travel if it will help
    created