This data as json, CSV (advanced)
Suggested facets: created_at (date)
fellowship
| id | name | description | location | url | fellowship | followers_count | created_at | verified | screen_name | |
|---|---|---|---|---|---|---|---|---|---|---|
| 6827702 | André Natta | Always: Urban conversationalist. Bronx native. 2018 @JSKStanford Fellow. Past: @resolvephilly @lenfestlab @wbhm @bhamterminal @Poynter #wjchat. Love ⚾. | Birmingham, AL | https://acnatta.substack.com/ | https://twitter.com/acnatta | jsk-fellows-2018 | 4233 | 2007-06-15T06:50:32+00:00 | 1 | acnatta |
| 18454770 | 🔅Don Day | http://BoiseDev.com publisher covering the story of Idaho’s future. @JSKstanford Fellow. Spent 18 years in traditional media, now reinventing local news. | Boise, ID | http://linkedin.com/in/donday | https://twitter.com/DonLDay | jsk-fellows-2018 | 7036 | 2008-12-29T17:56:56+00:00 | 1 | DonLDay |
| 25029808 | Guilherme Amado | Jornalista. Colunista na @RevistaEpoca e na @cbnoficial. @ICIJorg member. @Abraji VP. @JSKStanford fellow. http://Instagram.com/guilhermeamado | Brazil | https://epoca.globo.com/guilherme-amado/ | https://twitter.com/guilherme_amado | jsk-fellows-2018 | 41787 | 2009-03-18T04:47:23+00:00 | 1 | guilherme_amado |
| 184814522 | Lisa Rossi | Co-founder: Bonfire Strategy. Delivering powerful experiences to spur creative ideas that resonate. Passionate about: Building stronger teams and communities. | Des Moines, IA | https://twitter.com/LisaARossi | jsk-fellows-2018 | 2060 | 2010-08-30T15:09:19+00:00 | 1 | LisaARossi | |
| 213689248 | Dr. Seema Yasmin | MD + Epidemiologist + Journalist | Fmr Epidemic Intelligence Service Officer| Study: infodemics |Teach: sci journalism | Direct: Stanford Health Comm Initiative | Hackney girl in California | https://linktr.ee/SeemaYasmin | https://twitter.com/DoctorYasmin | jsk-fellows-2018 | 66115 | 2010-11-09T15:06:40+00:00 | 1 | DoctorYasmin |
JSON shape: default, array, newline-delimited
CREATE VIEW jsk_fellows AS
select
users.id,
users.name,
users.description,
users.location,
users.url,
'https://twitter.com/' || users.screen_name as twitter,
group_concat(lists.slug) as fellowship,
users.followers_count,
users.created_at,
users.verified,
users.screen_name
from users
join list_members
on list_members.user = users.id
join lists
on list_members.list = lists.id
where
lists.slug like 'jsk-fellows%'
and lists.slug not like '%projects'
group by users.id;