In these trying times for people across the world, we feel fortunate to have access to the Internet, and to be - relatively - able to pursue our mission thanks to our technologies. As a research lab, the SKEMA Global Lab in AI is also fortunate to have access to a platform dedicated to research in Data Science.
In the world context, on top of its normal operations, the Lab's team has decided to devote some resources to open its platform, both in terms of technology and human resources, to contribute to the world conversation about Covid-19. SKEMA' students who are interested in contributing to thi initiative are very welcome. The goal is to make a contribution to the world conversation with science at its core.
For this initiative, we want to be as open as possible in this initiative. We want to build on open data, open code, open research, and open source software as much as possible. Why? Because we want to ensure our results are at the highest level possible of reproducibility in order to allow anyone on the planet to be able to replicate, validate and augment our potential contributions.
This initiative is not an official initiative from SKEMA, it is just a pilot program in the current context. To help federate our student body, we call it Hacking Health Covid-19. Since it is just an initiative from the SKEMA Global Lab in AI, it does not provide any credit to students. The good news is: no credit, no pressure. We believe the impact on our communities is a big enough motivation.
At the end of the period, a committee will decide on the 3 best contributions to this initiative. Three teams will be rewarded with an honorific prize, which will be announced on June 15, 2020.
Once the overall initiative is organized around a website / dashboard accessible to the public, we will consider potential outputs such as this one https://fr.unesco.org/events/hackaton-codethecurve.
This Hacking Health Covid-19 has similarities with hackathons and also one main difference: it is similar since it requires a strong involvement on a short period of time to create a viable contribution, and it is also different in the sense that it spans over a 6-week period. It starts on April 7 and ends on May 18, 2020. The fact that it lasts 6 weeks mean that teams will be able to enter at any point of time and can finish before May the 18th. Teams jump in and out when they want during this period.
Starting on April 7th and finishing late May, our Lab team will assemble the different contributions into our overall Hacking Health Covid-19 dashboard. Participants and the public will be able to see the dashboard in construction on our Hacking Health Covid-19's website.
To participate, students need to form teams of 3 people. In order to cover the whole range from web apps development to statistics and machine learning, we will R. Coding knowledge in R is thus advisable. Now, team members can have different level. Teams will have access to online peer learning sessions on our communication platform and on our virtual campus. They will be able to train themselves on the fundamentals of R.
Teams must designate a team leader and fill up this form here.
We are starting to see a lot of online initiatives about Covid-19, and notably about data visualizations. Even if they are numerous, they tend to be very close to each other. And although visualizations are important for our own dashboard, we can augment them with some data science perspectives, for instance in terms of sentiment analysis, or predictive modelling.
An exemple of great visualizations is https://ourworldindata.org/coronavirus-data.
Our main objective is to provide a scientific perspective to the world conversation and to open up our contribution so that other people can leverage it.
By providing a scientific perspective, we mean to propose contributions that can be validated by others, and shedding a slightly different light to the pandemic. A Github repo has been created to host the code and serves also as a data warehouse, which can be found here.
This Hacking Health Covid-19 initiative just wants to be a positive use of our time and resources to potentially help communities around us or around the world.
You will find some of the tools we will use here: www.quantumstudio.skemagloballab.io:
- first, our main portal: www.skemagloballab.io
- The Open Knowlege Base: an open source version of Slack, we will communicate exclusively through this platform. Our whole team will be here for you. You need to create your account. Any person with a skema.edu email address can create an account.
- The Virtual Campus: a set of reference courses that you will use during your peer learning sessions.
- Quantum Studio Core: the computing platform. We will provide you with your credentials by email before class. It will be useful for your R-based initiative.
- Our cloud.skemagloballab.io: you will have access to an open source version of Dropbox where you will put your working documents.
- A Github folder to coodinate your work with your teammates. We will provide you with our git address.
This Hacking Health Covid-19 starts on April 7 and ends on May 18, 2020. It is a jump in jump out process. Teams will be able to join late April, or to propose their contribution before May 18. The end date is just the ultimate date when our Lab team will stop accepting new contributions.
Meetings will be organized every week during the period spanning from April 7th to May 18th:
- Tuesday April 14, 2020, 2:30 PM - 5:30 PM [limited number of seats]
- Wednesday April 15, 2020, 2:30 PM - 5:30 PM [limited number of seats]
- Monday April 20, 2020, 3 PM - 4 PM
- Monday April 27, 2020, 3 PM - 4 PM
- Monday May 4, 2020, 3 PM - 4 PM
- Monday May 11, 2020, 3 PM - 4 PM
- We use gsci for the styles
- Coronavirus Data: Visuals
- Coronavirus in Belgium
- Can Trade Explain Covid -19 Cases?
- What Can Data Visualization Help in the Battle against the Novel Coronavirus?
- Covid 19 Tracking
- Tidying the Johns Hopkins Covid-19 data
- Perform In-depth Analysis on the Global COVID-19 Pandemic
- Understanding the Coronavirus (COVID-19) pandemic through data
- Facts About Coronavirus Disease 2019 (COVID-19) in 5 Charts created with R and ggplot2
- Data Visualization with R: Basics
- Data Visualization with R: Options
- How to: create your own visuals
- Poly Math: COVID-19 dataset clearinghouse
- Harvard: Dataverse
- Johns Hopkins CSSE: 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository
- COVID-19 Databases and Journals
- 3 Free Datasets to Analyze the Coronavirus (Covid-19) Outbreak
- API: EpiBibR
- API: covid19us
- API: covid19Italy
- API: coronavirus
STATNEWS: Coronavirus
- API: newsAPI
- Structural Topic Model: stm
- PDF Text Extraction: pdftools
- PDF Text Extraction: tabulizer
- Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak
- Epidemiology: How contagious is Novel Coronavirus (2019-nCoV)?
- European Centre for Disease Prevention and Control: Situation update worldwide
- Simulating COVID-19 interventions with R
- COVID-19:9 The Case of Germany](https://blog.ephorie.de/covid-19-the-case-of-germany)
- R nanocourse 6: Simple Linear Regression
- R nanocourse 7: Multiple Linear Regression
- Collecting Twitter Data: rtweet
- Text Mining with R
- Coronavirus COVID-19 Global Cases
- COVID-19_virus
- Health Map: Novel Coronavirus (COVID-19)
- COVID-19 Global Cases: Open Source Version
- COVID-19 Outbreak
- Coronavirus COVID-19: Outbreak Statistics and Forecast
- Coronavirus in the U.S.: Latest Map and Case Count
- Bloomberg: Mapping the Coronavirus Outbreak Across the World
- Harvard: Coronavirus Dashboard
- Covid-19: Overview map - Active cases
- Data Visualization with R: Maps
- Data Visualization with R: Interactive Maps
- API: shapeR
- How to: Open and Plot Shapefiles in R
- Covid-19 Data
- How to: create your own custom map
- How to: create an interactive map
- How to: create advanced static maps
- A Bibliometric Analysis of COVID-19
- A Bibliometric Analysis and Knowledge Mapping
- Bibliometric Analysis of Global Scientific Research on SARSCoV-2 (COVID-19)
- API: EpiBibR
- An R-Tool for Bibliometric Analysis: bibliometrix
- World Economic Forum: Strategic Intelligence
- 9 Coronavirus Research Trends using LDA and Topic Modelling
- Structural Topic Model: stm
- Text Mining with R
- Text mining and word cloud fundamentals in R
- API: WDI
- API: comtradR
- API: OECD
- API: eurostat
- How to: use the WDI package
- How to: use the comtradR package
- How to: use the OECD package
- How to: use the eurostat package
- Marketplace: Market reactions to COVID-19
- World Economic Forum
- A Simple Way to Gather all Coronavirus Related Data with R: Finance
- API: Quandl
- API: quantmod
- How to: use the Quandl package
- How to: use the quantmod package
- API: WDI
- API: OECD
- API: eurostat
- API: statcanR
- API: fredr
- How to: use the WDI package
- How to: use the OECD package
- How to: use the eurostat package
- How to: statcanR
- How to: fredr
- Building an indicator about ethics in news
- Building an indicateor about ethics in tweets
- API: newsAPI
- Structural Topic Model: stm
- Collecting Twitter Data: rtweet
- Text Mining with R
Community Values
It Is Essential to Foster a Supportive Online Learning Environment.
At SKEMA Global Lab in AI, we believe it is essential for all participants to exemplify and uphold the SKEMA Quantum Studio Community Values in order to foster a supportive online learning environment where individuals can have open discussion, reflect on their thinking, and learn from each other.
The mission of the SKEMA Global Lab in AI is to educate leaders who make a difference in the world. Achieving this mission requires an environment of trust and mutual respect, free expression and inquiry, and a commitment to truth, excellence, and lifelong learning.
Students, program participants, faculty, staff, and alumni accept these principles when they join the SKEMA Quantum Studio community. In doing so, they agree to abide by the following Community Values:
- RESPECT FOR THE RIGHTS, DIFFERENCES, AND DIGNITY OF OTHERS
- HONESTY AND INTEGRITY IN DEALING WITH ALL MEMBERS OF THE COMMUNITY
- ACCOUNTABILITY FOR PERSONAL BEHAVIOR
SKEMA Global lab can and should be a living model of these values. To this end, community members have a personal responsibility to integrate these values into every aspect of their experience at SKEMA Global Lab
Through our personal commitment to these values, we can create an environment in which all can achieve their full potential.
SKEMA Global Lab Honor Code
A Commitment of Honor, Honesty, and Stewardship.
The SKEMA Global Lab Honor Code supplements the statement of Community Values and reflects the commitment participants make as members of the learning community to participate in, foster, and uphold the SKEMA Global Lab Learning Model.
By participating in a SKEMA Global Lab course or program, you agree to:
- Complete all work associated with the course with your own work and only your own work.
- Maintain only one SKEMA Quantum Studio account and not let anyone else use your login and/or password.
- Not engage in any activity that would dishonestly improve your results, or dishonestly improve or hurt the results of others.
- Not reproduce problems or answers for quizzes, exams, or any other means of assessing participant performance.
- Not post SKEMA Global Lab materials outside your course or program (e.g., publish screenshots of or videos from course pages).
- Act as a steward of the Honor Code and encourage others to do so as well.
Failure to abide by the SKEMA Global lab Community Values or SKEMA Global Lab Honor Code may result in removal from a SKEMA Global Lab program and/or from the SKEMA Quantum Studio framework.