Data Against Covid19

The pan­el took place on May 6 2020, and brought to­geth­er pro­gram­mers, start­up en­tre­pre­neurs and epi­demi­ol­o­gists who took part in the hackathon CodeVsCovid19

NEO Research Panel

The spread of SARS-COV2 has de­vel­oped into an un­prece­dent­ed pub­lic health cri­sis. New ways of test­ing, trac­ing, treat­ing and com­mu­ni­ca­tion need to be swift­ly de­ployed across coun­tries if we hope to halt the spread of the virus and re­turn to nor­mal­cy soon. There­fore, we be­lieve that mo­bi­liz­ing bright minds with­in a short time is crit­i­cal. Our col­lab­o­ra­tive pan­el fo­cused on the de­sign of glob­al tech­no­log­i­cal so­lu­tions to ad­dress is­sues such as de­tec­tion, out­break trac­ing, pa­tient mon­i­tor­ing and sup­port. We ex­plored the po­ten­tial use of AI and tech­nol­o­gy to build ef­fi­cient, real-time and large-scale so­lu­tions to prob­lems faced by clin­i­cians and pop­u­la­tions dur­ing this cri­sis. Be­sides, we also dis­cussed po­ten­tial is­sues as­so­ci­at­ed with the use of these tech­nolo­gies, such as data pri­va­cy and ac­cu­ra­cy. Fi­nal­ly, we ex­pand­ed on what it takes to push pro­to­types from the de­sign stage to implementation.

«In a situation like this, you must have real time data»

The winning teams:

«There is a need for a system that can help people be confident at home, be monitored by clinicians and free the [hospital] resources.»

Our questions to the panelists:

1. Presentation of the technological solution

The par­tic­i­pants pre­sent­ed their AI-powered ap­pli­ca­tions to as­sist health prac­ti­tion­ers and cit­i­zens. We dis­cussed the need to use tech­no­log­i­cal so­lu­tions in the con­text of the SARS-COV2 crisis.

2. What about data privacy? How do you ensure it?

The par­tic­i­pants pre­sent­ed the de­signs cho­sen for data col­lec­tion and their strate­gies to en­sure data privacy.

3. What algorithms have you implemented in your solutions?

We ex­plored the al­go­rithms be­hind the ap­pli­ca­tions. We talked about the co­or­di­na­tion of sim­i­lar ap­pli­ca­tions across countries.

4. What about the adoption by the global population?

We dis­cussed bar­ri­ers and dri­vers of adop­tion of the ap­pli­ca­tion by the gen­er­al population.

5. What are your next milestones and how do you plan to deploy your applications?

The par­tic­i­pants ex­posed the next mile­stones to­wards large-scale de­ploy­ment of the applications.

6. How do you think will data powered application be used beyond COVID-19?

We ex­plored the fu­ture of data pow­ered ap­pli­ca­tion in the “New Nor­mal” and in next health care crisis.

Jean Baptiste

Dr Jean-Baptiste is the Founder of Ox­ford Epi­demi­ol­o­gy Ser­vices, a glob­al epi­demi­ol­o­gy firm that has worked in more than 50 coun­tries. Pre­vi­ous­ly she served in se­nior tech­ni­cal lead­er­ship roles with USAID and part­ners who work for USAID

Florian Georg

Flo­ri­an is cur­rent­ly the De­vel­op­er Au­di­ence Lead at Mi­crosoft for Switzer­land. Pre­vi­ous­ly he worked in dif­fer­ent tech­ni­cal lead­er­ship po­si­tions at IBM

Fabian Luders

Fabi­an is cur­rent­ly work­ing for the DLR (Ger­man Aero­space Agency) to im­ple­ment his so­lu­tion for fu­ture out­breaks of epi­demics. Be­fore that he worked at KIT and at 1&1 as Data Scientist

Alessandro de Carli

Alessan­dro is Founder and en­gi­neer of a mo­bile and cryp­to soft­ware company.
He’s also a founder at Hy­per­gate, a fast, se­cure and ac­ces­si­ble Ker­beros Sin­gle Sign-On (SSO) so­lu­tion for An­droid and IOS

Simon Hofer

Si­mon is a tech en­tre­pre­neur. Be­fore ini­ti­at­ing De­tect­Now, he co-founded Ca­reer­Lunch, a re­cruit­ing tech com­pa­ny with in­ter­na­tion­al cus­tomers like PwC, Ac­cen­ture, and Siemens. In 2018, he rep­re­sent­ed Switzer­land at the Glob­al Stu­dent En­tre­pre­neur Awards (GSEA)

M.Zeeshan Karamat

Ze­shan is an ex­pe­ri­enced soft­ware de­vel­op­er with more than 10+ years of pro­fes­sion­al ex­pe­ri­ence. He has ex­pe­ri­ence in lead­ing big scale ma­chine learn­ing and soft­ware en­gi­neer­ing projects at en­ter­pris­es like BMW, Rolls Royce, Tetra­pak, Feld­schlossen, Mi­crosoft, and more

Claudio Fanconi

Clau­dio is cur­rent­ly an elec­tri­cal en­gi­neer­ing stu­dent at ETH Zürich. Pre­vi­ous­ly he in­terned as ma­chine learn­ing en­gi­neer at IBM