Helpful resources for your projects

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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 Six of them have been approved, three were withdrawn, and the other nine have been already tested in clinical trials.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
  • 4 volunteers - sign up to volunteer

    We're organizing clinical trials for a drug called Niclosamide as both a treatment and prophylactic.

    Helping with:
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    Remote
    created
  • no volunteers - sign up to volunteer

    We have a two-part COVID-19 medical helpline. First, our AI system digitally assesses a patient's need for medical attention. Then, those who likely have contracted the virus and who are put at great risk by it are automatically virtually connected with one of the physicians in our national network of medical professionals. The medical attention that the patient receives comes at no cost to the patient, because our system accepts Medicare and Medicaid.
    AI and telemedicine are the tools that we need to adopt in this pandemic. AI triages patients in order to allow medical professionals to maximize their time, while telemedicine takes the burden off of hospitals and allows people to receive care at home (reducing the spread of the disease).
    Anyone can access these medical resources at no cost to them. We firmly believe that our system can minimize disparities in healthcare availability.

    remote
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  • 399 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
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  • 112 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:
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    Remote
    created
  • 101 volunteers - sign up to volunteer

    'Face pandemic' is a non-profit and community-driven effort to utilized specialized technologies to identify, analyze and take preventive measures for outbreaks of infectious diseases like COVID-19. Unfortunately, most governments were not prepared to handle this pandemic. As a result, we the citizens have to take control and use our skills and efforts to keep everyone in communities safe globally. We have developed an application that anonymously acquires health and location information form participants and performs real-time analytics to predict the spread of the virus, alert everyone about the hot zones and identify preventive measures. Predictive analytics capability can help health professionals and emergency response teams to prepare in advance. THIS IS NOT A CONTACT TRACING APP. Our focus is to create a complete system that can help to identify infectious diseases in the early stages, start preventive measures and operation planning for the doctors/hospitals. Scale and reach to the maximum number of population is the key and it should work online - offline. We can't ever again in this situation yet and need to remember "Prevention is better than cure".

    Remote
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  • 63 volunteers - sign up to volunteer

    We are building a solid-state nanopore device that can count individual SARS-CoV-2 virions in diverse bodily fluids without reagents or a cold chain.

    Remote
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  • 62 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
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  • 41 volunteers - sign up to volunteer

    In this project we aim to find new materials (local to each jurisdiction) to reduce transmission rates of virus. The goal would be to locally manufacture masks and other PPE for use within local population. In addition we need to further understand the chemical interaction between virus and surfaces to make surfaces which the virus can't last very long on.

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

    Helpful Engineering was created to design, source and execute open-source hardware and software projects that can help communities impacted by the COVID-19 pandemic worldwide.

    We are an open community of volunteers without a commercial purpose. We believe that through a pragmatic approach, we can do the most good for the most people with the resources available. By sharing all our open-source projects and applying all engineering and manufacturing resources available, we can help to mitigate the world's impact from the devastating impacts of the COVID-19 pandemic.

    Planet Earth (founder in Vancouver, BC)
    created
  • Who are we? We're Gathrer. We built a scalable and beautiful directory, with a spam-less uber-like signalling communication tool to ping people for help. Reach thousands of people in a click. We will build Covid-19 college town communities using what we already made to connect people who can help and need help.

    First, watch -

    - A video of our directory app https://tinyurl.com/v6fool5
    - This video https://youtu.be/-RgzQEJutE4?t=343 from 6:40 - 10:00

    How did we start? I started a Gathrer as a unincorporated disaster relief data gathering project in 2017 and we successfully gathered data in the aftermath of the Grenfell Tower incident in London. We were featured in New York Times having gathered data far ahead of police estimates. Last year, I decided I would expand the Gathrer brand.

    What are we now? We're a beautiful directory tool with a new communication protocol called "signalling and listening". This is a little like a demand, supply matcher or event listener. Signalling and listening means any user in any given community e.g. San Francisco, can click a button and ping any type of member for a given purpose, without spam.

    E.g. *Ping / signal* [all young people] in [San Francisco] to [help] with [grocery shopping] -> Anyone *listening* to [help] from [profile with attributes of the pingers] for [grocery shopping] in [San Francisco] gets a [ping!]

    How will we roll this out for Covid-19? We built a way for this to work in college towns and would start by rolling out there. Let's connect college students with those who need help. Why college students? They're in the same geographic area so they can help each other, and easy to authenticate.

    Does this communication protocol work? Yes. We tested this functionality at https://www.intelligentcrazypeople.com. Members of the Intelligent Crazy People community included folks like former founders and CEOs of Skype, Reddit and so on. I also created that community myself and we've had 8000 applications, 2000 members and 100 meetups thus far.

    ---

    A 2nd use case -

    What are other applications to Covid-19? Our research suggests our directory tool will be a great way for remote employees within the same companies or ecosystems to quickly search for and contact each other. This should make remote working more manageable during the quarantine periods of Covid-19 outbreak.

    ---

    This is a for-profit project, but any signalling activity around Covid-19 will not be monetised. Furthermore we are not asking for free help necessarily.

    Remote
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  • 10 volunteers - sign up to volunteer

    FLOWDEMIC is an open source and open data application, with anonymous users:

    - Capture of the daily temperature of the user (either manual or automated thanks to connected thermometers)
    - Thanks to the microphone, detection of the number of coughs, duration of coughing, sneezing
    - Geolocation

    Thanks to a large global database, we will be able to visualize the epidemic live and predict the evolution of the epidemic in probabilistic terms.

    It is obvious that there will be a lot of stochastic noises, false cases, but what matters is the dynamics.

    Combined with secondary data such as aircraft flights, trains, road traffic, several correlations can be made by researchers and by public authorities.

    Public Github :
    https://github.com/him417/flowdemic

    Public Discord Server :
    https://discord.gg/XfkmtF

    remote
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  • 9 volunteers - sign up to volunteer

    BlockCOVID is an online initiative bringing together developers with the goal of quickly building solutions that address new problems that have arisen due to the COVID-19 outbreak. Primarily using decentralized technologies such as blockchain, the initiative will provide tools, resources and mentorship to developers.

    Remote
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  • 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
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  • 7 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
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  • 7 volunteers - sign up to volunteer

    Testing the entire population for a virus is infeasible in most countries. Testing the air filters in buildings is a way to divide and conquer the problem. For example, if covid-19 is found in the air filter of a retirement home, then all the people living there could be tested.

    Metagenomic sequencing (mNGS) and qPCR have been shown to work on samples from air filters to identify viruses and bacteria. See links below. The equipment needed is relatively cheap (<100k), and the lab techniques needed can be learned in a few days. There appear to be no regulatory barriers because the testing is not done on human beings. The challenge remaining is to build a central operation that can run tests efficiently.

    While it may be too late to get started to help with covid-19, this type of service will surely be valuable in preventing or managing future outbreaks.

    HOSPITALS

    "Respiratory viruses were detected in 27% of aerosol samples."
    https://www.frontiersin.org/articles/10.3389/fpubh.2018.00174/full#supplementary-material

    "Overall, 16 (33.3%) of the 48 specimens indicated evidence of at least 1 respiratory pathogen"
    https://www.semanticscholar.org/paper/Bioaerosol-Sampling-in-Clinical-Settings:-A-for-Nguyen-Poh/a7aaf2c3f905813cd23b5ac719d49e662063edb9

    AIRPORTS

    "Four (17%) of the 24 samples were positive for known respiratory pathogens "
    https://www.semanticscholar.org/paper/Molecular-surveillance-of-respiratory-viruses-with-Bailey-Choi/7d5f3ba38d99da2f79c4bd4ef3edbd8dfabc7cda

    "One air sample (1 of 18 samples, 5.5%) tested positive for influenza B virus. Of the 40 surface samples, 7 (17.5%) were positive for pathogens."
    https://www.semanticscholar.org/paper/Environmental-sampling-for-respiratory-pathogens-in-Memish-Almasri/fd43d016d5032cea90ab5c97d81171b22d360f38

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

    An artificially intelligent system can be developed based on machine learning, training the models using data that is collected through the COVID-19 Human Genetics Initiative to determine who is more susceptible to the virus and learn the genetic determinants of COVID-19 susceptibility.

    A sparse graph structured linear mixed model sGLMM can be used to uncover the genetic associations of a large number of phenotypes. This can reduce false positives in the estimated set of relevant inputs and sparsity patterns in the parameters can lead to more meaningful and interpretable results. (sGLMM) that can incorporate
    the relatedness information from traits in a dataset with confounding correction. This method is capable of uncovering the genetic associations of a large number of phenotypes together while considering the relatedness of these phenotypes. Such discoveries could help to generate hypotheses for drug repurposing, identify individuals at unusually high or low risk, and contribute to global knowledge of the biology of SARS-CoV-2 infection and disease.

    remote
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  • 5 volunteers - sign up to volunteer

    A simple kit for building Mask/PPE/Cell Phone/Ipad sterilizer using UV-C Bulbs

    Cambridge, MA
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  • 5 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
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  • 5 volunteers - sign up to volunteer

    Somalia

    According to experts, the risk of the spread of Covid-19 in Somalia, is more severe to that of China. Somalia is lacking medical necessities to handle a spread, therefore it is urgent that aid is sent. There are organisations who are willing to help, however there is a lack of cohesion between the Somali government and where this aid should be directed. We propose a centralised base that has updated statistics regarding Covid-19, and a guide of where help can be sent.

    REMOTE
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  • An open source initiative to create multilingual content around covid19 crisis.

    Aim is to provide reliable information related to covid which is easy to understand. Could be done through reaching out to masses in multiple Indian languages (we have 7 languages as of now) or through visualisations like https://cov.social/#/simulation

    It's an open source initiative and each contributor would be given due credit.
    Repo: https://github.com/upperwal/covid19

    You can contribute by:
    1. Translating and correcting content in a language you are comfortable with.
    2. Recording WHO's and Ministry of Health's informative videos in Indian languages.
    3. Helping us aggregate and visualise data related to the crisis.
    4. Developing innovative content (text, infographics or visualisations) that could help people understand what they should do during this crisis.

    Remote
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  • 4 volunteers - sign up to volunteer

    Right information should reach the right individuals to enable quick action
    Official database for all relevant stakeholders - Helpline numbers, Designated Labs, Expert team, Government Bodies, Reporting, Suppliers, Doctors, hospitals - From authentic verified sources only

    India (Remote works too)
    created
  • 4 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
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