EmoClass
stringclasses
10 values
EmoAct
float64
1
7
EmoVal
float64
1
7
EmoDom
float64
1
7
SpkrID
int64
1
3.33k
Gender
stringclasses
2 values
Split_Set
stringclasses
2 values
transcript
stringlengths
1
353
emotion2vec_features
listlengths
1
1
N
3.8
3.2
3.4
1,408
Female
Train
... with the policy memo writing process. the most important things are, one, creativity. we want to know that you can come up with a creative solution and-
[ { "feats": [ 0.07104450464248657, -0.2077147215604782, 0.1733776330947876, -0.04104805365204811, 0.6588538885116577, 0.33756476640701294, 0.0529647134244442, 1.1565754413604736, 0.7251986265182495, 0.03614465147256851, -0.6999360918998718, ...
H
3.6
3.6
3.4
1,408
Female
Train
... two, that you can write and explain it clearly. the number one reason why people didn't get accepted to the program last time is that they might have had a good nugget-
[ { "feats": [ 0.04035186395049095, -0.17844219505786896, 0.11871490627527237, -0.02313639037311077, 0.5753161311149597, 0.3124457895755768, 0.040052320808172226, 1.2165095806121826, 0.6889342069625854, 0.02946067601442337, -0.6908146142959595, ...
N
3.8
3.6
3.8
1,408
Female
Train
... we can get a sense, maybe, of the idea, but we don't fully grapple with it. and so we can't know how creative it is or interesting it is.right.and so-
[ { "feats": [ 0.0668003261089325, -0.18779678642749786, 0.10113681107759476, -0.03163886442780495, 0.6558275818824768, 0.3250260651111603, 0.0065153916366398335, 1.293914794921875, 0.7767130136489868, 0.055642079561948776, -0.6832329630851746, ...
A
6
2.4
6
1,408
Female
Train
... variance of it, precisely, is to try to get at that. and then i think the final thing that's relevant is work authorization. so anybody who has work authorization-
[ { "feats": [ 0.01414276473224163, -0.12131433188915253, 0.14490623772144318, -0.04301309213042259, 0.7036857604980469, 0.3287644684314728, 0.05344229191541672, 1.2291182279586792, 0.7641957998275757, -0.0460326112806797, -0.7435690760612488, ...
N
3.4
3.6
3.4
1,408
Female
Train
... in the united states is eligible to apply, but there are some complications for people, for instance, on h-1bs that have to stick to one employer. so if you're in that situation-
[ { "feats": [ 0.07622399926185608, -0.2157861441373825, 0.15988056361675262, -0.08885243535041809, 0.6118535995483398, 0.26808962225914, 0.022062014788389206, 1.0959933996200562, 0.7590953707695007, -0.02363169752061367, -0.7414058446884155, ...
N
3.6
3.6
3.8
1,408
Female
Train
... it's worth inquiring with your employer as to whether you'd be eligible to do the program, and also talk to us if you encounter specific problems. and at this current time, we can't-
[ { "feats": [ 0.06957128643989563, -0.21857517957687378, 0.12992534041404724, -0.04143340513110161, 0.6575106382369995, 0.3330526649951935, 0.04069396108388901, 1.1640737056732178, 0.7721567153930664, 0.07119903713464737, -0.7030020356178284, ...
H
3.6
3.6
3.8
1,408
Female
Train
... yeah, it's probably too early to say for this cohort-mm-hmm (affirmative).... and we sort of expect this to be an iterative process. we actually-
[ { "feats": [ 0.12229227274656296, -0.20381589233875275, 0.14854057133197784, -0.031227942556142807, 0.6313768029212952, 0.41943061351776123, 0.00006681840750388801, 1.19363534450531, 0.7354288697242737, 0.019135043025016785, -0.712496280670166, ...
N
3.2
3.4
3
1,408
Female
Train
... hope that many of our fellows go back to their initial jobs but join more cross-functional teams or take on more cross-functional roles where they're engaged more in strategy and policies-
[ { "feats": [ 0.1272781789302826, -0.13034096360206604, 0.16642087697982788, -0.011219373904168606, 0.5155609846115112, 0.28652918338775635, -0.004472312517464161, 1.041133999824524, 0.8357560038566589, 0.024226197972893715, -0.7224857211112976, ...
N
1.4
3.2
1.6
1,408
Female
Train
... be a win too. we do definitely have fellows who are interested in programs like techcongress, the program that places technologists into congress.they're great partners of ours and their appl-
[ { "feats": [ 0.12589502334594727, -0.19719552993774414, 0.148509219288826, -0.047835011035203934, 0.6185203790664673, 0.31241270899772644, 0.02101363055408001, 1.0956964492797852, 0.845376193523407, 0.00550814438611269, -0.7313929796218872, ...
H
6.2
5.6
6.6
1,408
Female
Train
... ications are due a couple days after ours. so if you're already a bit more policy experienced, i think that's a great place to look. we have folks who are interested in-
[ { "feats": [ 0.0779348611831665, -0.2120346873998642, 0.17790104448795319, -0.0397496335208416, 0.5816030502319336, 0.2676684856414795, 0.03698918968439102, 1.094983696937561, 0.7781832218170166, -0.04916032776236534, -0.6472727656364441, -...
H
3.8
3.6
3.6
1,408
Female
Train
... roles like the us digital service. and then i think as we head towards the next election cycle, we have many fellows who are interested-
[ { "feats": [ 0.08646510541439056, -0.1777888685464859, 0.14163747429847717, 0.022619569674134254, 0.6200128793716431, 0.3675028681755066, 0.046426448971033096, 1.1665961742401123, 0.7540340423583984, 0.05746524780988693, -0.7067462801933289, ...
H
3.2
3.4
3.4
1,408
Female
Train
... in policy roles down the road, either as current government officials transition out or as new opportunities come in with a new administration. i think we-
[ { "feats": [ 0.05090699344873428, -0.09205665439367294, 0.13073793053627014, -0.06722541153430939, 0.6267973184585571, 0.28270891308784485, 0.047222722321748734, 1.1175682544708252, 0.7753440737724304, 0.04586000740528107, -0.8092814087867737, ...
N
3
3.2
3.6
1,408
Female
Train
... still have a challenge, which we're not directly working on yet but hope to focus on down the road, which is that lots of people want to do this work but don't want to-
[ { "feats": [ 0.05923306196928024, -0.18621563911437988, 0.11436516046524048, -0.026566067710518837, 0.6142719388008118, 0.2754857540130615, 0.044641438871622086, 1.1961687803268433, 0.7053309082984924, 0.003718152642250061, -0.6962474584579468, ...
H
3.8
3.4
3.4
1,408
Female
Train
... relocate to d.c.mm-hmm (affirmative).and i think that there's tremendous amount of impact that we can have if we created more government rules for technologists that are actually based out here-
[ { "feats": [ 0.011275592260062695, -0.19643187522888184, 0.16890238225460052, -0.08005812764167786, 0.6059625148773193, 0.26377642154693604, -0.007060844451189041, 1.1415139436721802, 0.7245541214942932, 0.010235711932182312, -0.7522710561752319,...
N
3.6
3.2
3.2
1,408
Female
Train
... in the valley or in other places in the united states, rather than always 100%-
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N
3.8
3.2
3.6
1,408
Female
Train
... requiring relocation to d.c.and so that's not what the hub's focused on specifically right now, but i do think there's tremendous energy around creating those opportunities-
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U
6
5.8
6.2
1,408
Female
Train
... for now, most of the time you'd still have to relocate to d.c. many of our fellows have young families and so that can be a difficult thing to-
[ { "feats": [ 0.08977926522493362, -0.17395709455013275, 0.15530887246131897, -0.01699741557240486, 0.6054786443710327, 0.361610472202301, -0.0032909030560404062, 1.1763966083526611, 0.773148238658905, -0.04842265695333481, -0.6208619475364685, ...
N
3.6
3.8
3.4
1,408
Female
Train
... do, but we've also got tremendous inspiration from people like todd park or-mm-hmm (affirmative).... tom kalil: folks who joined the administration and actually commuted for many years back and forth from the n-
[ { "feats": [ 0.12136299908161163, -0.22074873745441437, 0.11700740456581116, -0.12737643718719482, 0.6083254814147949, 0.2320908159017563, 0.052846115082502365, 1.086019515991211, 0.745011031627655, -0.029497813433408737, -0.6804300546646118, ...
N
3.2
3.8
3.8
1,408
Female
Train
policy things.so we don't take a position. we're sponsored by the aspen institute, which is a 501c3 nonprofit. so we advo-
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H
3.4
3.4
3.4
1,408
Female
Train
... cate, but we don't lobby or anything like that. and for purposes of our fellowship program, the fellows really come up with the ideas.so the only real res-
[ { "feats": [ 0.10107025504112244, -0.17688807845115662, 0.09774458408355713, -0.04069143533706665, 0.6960416436195374, 0.37269121408462524, 0.01523850578814745, 1.3101919889450073, 0.746027946472168, 0.05798381194472313, -0.7088556885719299, ...
S
1.6
3.2
1.4
1,408
Female
Train
... trictions are it has to be legal and it has to not cross the line of political activity or lobbying. so we did have to have some conversations with fellows about, "you-
[ { "feats": [ 0.046794597059488297, -0.16948837041854858, 0.15792244672775269, 0.001471454743295908, 0.6762410998344421, 0.329706609249115, 0.04420396313071251, 1.2607864141464233, 0.8378269672393799, 0.00011823861859738827, -0.7334185838699341, ...
F
3.166667
4.333333
2.5
1,408
Female
Train
... can't lobby for a particular piece of legislation. you can educate policy makers about legislation, but you can't try to push a particular piece of legislation, and you also can't do-
[ { "feats": [ 0.033862922340631485, -0.21004332602024078, 0.08048335462808609, -0.12937042117118835, 0.5405020117759705, 0.2413107454776764, 0.0014993504155427217, 1.062608242034912, 0.7674758434295654, 0.010426335968077183, -0.7117030024528503, ...
H
3.8
3.4
3.2
1,408
Female
Train
... political activities. so you can't try to run a political campaign out of the hub."mm-hmm (affirmative).so those are some restrictions, but other than that, the fellows own their own ip for-
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N
3.4
3.6
3.4
1,408
Female
Train
... what they produce. they just license it to us so we can advertise it and they get to pick policy ideas.
[ { "feats": [ 0.10792116075754166, -0.15778501331806183, 0.12858767807483673, -0.11839938908815384, 0.6096552610397339, 0.31719735264778137, -0.008053649216890335, 1.2323487997055054, 0.7806719541549683, -0.03197051212191582, -0.745908796787262, ...
H
3.4
3
3
1,408
Female
Train
so i don't always agree with the positions that our fellows are taking, but the purpose of the fellowship is for them to seek to have impact and to go through that process and to put out their i-
[ { "feats": [ 0.0936155617237091, -0.1632620394229889, 0.06456468254327774, -0.05434625223278999, 0.5751534104347229, 0.2755120098590851, 0.011357826180756092, 1.1056221723556519, 0.7518524527549744, 0.008812311105430126, -0.7122162580490112, ...
H
3.8
3.4
3.4
1,408
Female
Train
... deas. and i don't see it as our role to try to shape that beyond trying to help make it more realistic or help encourage impact.
[ { "feats": [ 0.026758937165141106, -0.1274099349975586, 0.20008021593093872, -0.06657514721155167, 0.6224241256713867, 0.3962239623069763, 0.16685821115970612, 1.1945388317108154, 0.7826246023178101, -0.007587770465761423, -0.7488923668861389, ...
H
3.4
3.4
3.8
1,408
Female
Train
we do sort of have an idea in the long term about utilizing this ecosystem of the policy alums, as well as oth-
[ { "feats": [ 0.1199934259057045, -0.13779975473880768, 0.09987906366586685, -0.04132770374417305, 0.6418927907943726, 0.39079728722572327, 0.0887422040104866, 1.2663627862930298, 0.7629992365837097, 0.022932415828108788, -0.7168500423431396, ...
H
3.2
3.6
3.8
1,408
Female
Train
... er great people who are already out here in the valley who want to have impact. so down the road, for instance, i would like organizations to be able to approach us and say-
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N
3.8
3.6
3.4
1,408
Female
Train
... ideas in the ecosystem. and i would love down the road to be able to intake those projects and to provide responses based on a subset of interested-
[ { "feats": [ 0.07672610133886337, -0.13220100104808807, 0.10672743618488312, 0.03742246702313423, 0.610417366027832, 0.36656495928764343, 0.03415464609861374, 1.1382865905761719, 0.7221969962120056, 0.07003077864646912, -0.8235957026481628, ...
N
3.4
3.8
4.2
1,408
Female
Train
... fellows who would like to work on those issues, but that would always be separate from the fellowship program. so you'd have to be an alum to participate in that. and it also-
[ { "feats": [ 0.1359134167432785, -0.20205505192279816, 0.09672670066356659, -0.0679113045334816, 0.7277545928955078, 0.36485162377357483, 0.0008117725956253707, 1.2532737255096436, 0.7777493596076965, 0.004978856071829796, -0.7567719221115112, ...
H
3.6
3.6
3.6
1,408
Female
Train
... would require kind of a different system than what we have set up with now. so we sort of see that as a long-term goal is to create-
[ { "feats": [ 0.07195434719324112, -0.13282416760921478, 0.15031351149082184, 0.005068735685199499, 0.6095862984657288, 0.358492374420166, 0.07416043430566788, 1.1884229183197021, 0.7074760794639587, 0.021447373554110527, -0.7756933569908142, ...
N
3.4
4
3.6
1,408
Female
Train
... you know, a "think and do" capacity for how the alums, but we also want to keep the fellowship really independent and enable our fellows to work on the issues-
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N
3.2
3.4
3.4
1,408
Female
Train
... yeah. so i think first what we're going to do better. so we are thrilled with the cohort that we have; they are so energetic, so engaged-
[ { "feats": [ 0.08820168673992157, -0.1283709704875946, 0.19749565422534943, -0.06708947569131851, 0.6225538849830627, 0.4490559995174408, 0.06476476043462753, 1.1480604410171509, 0.699558675289154, -0.10740318149328232, -0.7225782871246338, ...
H
3.4
3.4
3.8
1,408
Female
Train
... very often we ran long on almost any session that we set up because we had so many questions, and i found myself in the unenviable role of-
[ { "feats": [ 0.1579323559999466, -0.157522052526474, 0.20352832973003387, 0.008026743307709694, 0.6321920156478882, 0.4155100882053375, 0.04883778095245361, 1.184618353843689, 0.6223299503326416, 0.0036011114716529846, -0.792945384979248, -...
U
6.2
5.6
5.8
1,408
Female
Train
... having to cut off great conversations because the next person was arriving. so part of that was because our first cohort was only eight weeks and a couple days.
[ { "feats": [ 0.05606203153729439, -0.1261705607175827, 0.1862672120332718, -0.050232406705617905, 0.672595739364624, 0.3245050609111786, 0.052487898617982864, 1.2237095832824707, 0.6606865525245667, -0.04167851433157921, -0.6496251821517944, ...
H
3.6
3.2
3.8
1,408
Female
Train
... it just was too short. and so we definitely want to extend that to a full four weeks and to ensure that there's better opportunity for those convers-
[ { "feats": [ 0.04638596996665001, -0.2034255415201187, 0.20239609479904175, -0.04016862064599991, 0.6613060235977173, 0.42042747139930725, 0.08458208292722702, 1.237078070640564, 0.680072546005249, -0.06120261922478676, -0.8357555270195007, ...
N
3.2
3.6
3.6
1,408
Female
Train
... to be focused on the final projects. we see this as much broader than just the project that you produce at the end-mm-hmm (affirmative).... but i think we overcompensated-
[ { "feats": [ 0.05366797372698784, -0.18518374860286713, 0.16633926331996918, -0.0905173271894455, 0.6298002600669861, 0.356159508228302, 0.08961531519889832, 1.139711618423462, 0.7043053507804871, 0.012182016856968403, -0.7618057727813721, ...
U
6.2
5.6
5.4
1,408
Female
Train
i think we will also really encourage people to think about collaboration. so one of the changes-
[ { "feats": [ 0.02229885756969452, -0.10253431648015976, 0.12118732929229736, -0.1060984805226326, 0.7197352647781372, 0.474661260843277, 0.08924396336078644, 1.3071671724319458, 0.7056153416633606, -0.031631506979465485, -0.8055058717727661, ...
H
3.6
3.2
3.4
1,408
Female
Train
... that we made quickly in the program is that every fellow, for their final projects, has to work on at least two projects. they have an 80% project and a-
[ { "feats": [ 0.0486818365752697, -0.21851734817028046, 0.15936844050884247, -0.042192306369543076, 0.6558032631874084, 0.3290286660194397, 0.021886475384235382, 1.1772936582565308, 0.7666500806808472, 0.003141478868201375, -0.7104575634002686, ...
N
3.6
3.8
3.4
1,408
Female
Train
... 20% project. and we borrowed this us digital service so that no fellow would be working on their project alone from the beginning. we didn't decide-
[ { "feats": [ 0.10925894230604172, -0.16804608702659607, 0.1693030744791031, -0.03189035505056381, 0.7284885048866272, 0.32018738985061646, 0.031979113817214966, 1.1965893507003784, 0.7897990942001343, 0.029579658061265945, -0.7761533260345459, ...
N
3.2
3.6
3.8
1,408
Female
Train
... that until quite late in the process. and we're really glad that we did, but it did, i think, create situations where some fellows had projects that just didn't have-
[ { "feats": [ 0.0538354255259037, -0.179251030087471, 0.1072702407836914, -0.018360450863838196, 0.6569942831993103, 0.38627633452415466, 0.05623677372932434, 1.1751848459243774, 0.6945253014564514, -0.025742441415786743, -0.7639123797416687, ...
H
3.6
3.6
3.6
1,408
Female
Train
... think we're really interested in trying to grow even more policy impact. so we did a good job, i think, of ex-
[ { "feats": [ 0.037687934935092926, -0.1552669107913971, 0.183364138007164, -0.05443970859050751, 0.6591671109199524, 0.45224541425704956, 0.032104089856147766, 1.1884164810180664, 0.7338237762451172, -0.057943277060985565, -0.7663317918777466, ...
H
3.4
3.6
3.4
1,408
Female
Train
... posing people to lots of different things they could work on, but i think we can do even better in trying to get specific problems in front of the fellows-
[ { "feats": [ 0.08889903128147125, -0.10301809012889862, 0.11401445418596268, -0.038626838475465775, 0.6175110936164856, 0.3291592597961426, 0.02983725257217884, 1.1443843841552734, 0.7286875247955322, 0.001755083678290248, -0.7134214639663696, ...
H
3.4
3.4
3.6
1,408
Female
Train
... visions for the projects to before the 48 hour exercise, rather than after it. and we hope that that will give the fellows more time to actually fully dig into th-
[ { "feats": [ 0.09270761907100677, -0.19106167554855347, 0.12253269553184509, -0.045971885323524475, 0.6054021716117859, 0.3506527841091156, 0.04726796969771385, 1.1376636028289795, 0.7253121137619019, 0.0013287508627399802, -0.7997358441352844, ...
N
4
3.2
3.6
1,408
Female
Train
... eir projects and make more progress on them. so that's, i think, another area in which we'll improve. but overall, if you'd have asked me-
[ { "feats": [ 0.06709954142570496, -0.1759210079908371, 0.20118741691112518, -0.008664274588227272, 0.6638821363449097, 0.3696862757205963, 0.04045240953564644, 1.1679415702819824, 0.7636411190032959, 0.00006245827535167336, -0.6739672422409058, ...
N
3.4
3.6
3.4
1,408
Female
Train
... what i imagine the first cohort to look like, this is pretty much beyond my wildest dreams of how much impact we've already been able to have, how engaged everybody is-
[ { "feats": [ 0.06572677940130234, -0.17102821171283722, 0.17211703956127167, -0.10861203074455261, 0.6195842623710632, 0.32030776143074036, -0.006467674393206835, 1.228003978729248, 0.7757418751716614, -0.05952002853155136, -0.6350218653678894, ...
N
3.6
3.6
3.2
1,408
Female
Train
... the response we've gotten from people who have met the cohort. it's just been phenomenal. in terms of what we'd like to-
[ { "feats": [ 0.09504470229148865, -0.21371367573738098, 0.11145853251218796, -0.05770747736096382, 0.6544313430786133, 0.35286426544189453, 0.06429746747016907, 1.1557995080947876, 0.7756733894348145, -0.01383365411311388, -0.7233020067214966, ...
H
3.2
3.4
3.6
1,408
Female
Train
... see see going forward, i think we'd like to grow the number of cohorts we can accept. so next year we'll have a winter and summer cohort-
[ { "feats": [ 0.0766863152384758, -0.12327444553375244, 0.1369774490594864, -0.046991221606731415, 0.6583365201950073, 0.3139161169528961, 0.016785357147455215, 1.1463353633880615, 0.7050120234489441, 0.038194458931684494, -0.6266475319862366, ...
N
3
3.2
3.4
1,408
Female
Train
... and we'll also, down the road, even consider adding a third. we'd like to expand, fundraising permitting, to the number of fellows we can take in each cohort. so we may ev-
[ { "feats": [ 0.016640014946460724, -0.1434333771467209, 0.16572298109531403, -0.06324665993452072, 0.6057923436164856, 0.2526669204235077, 0.02257637120783329, 1.0965708494186401, 0.7319515347480774, 0.024759571999311447, -0.6280035972595215, ...
N
3.4
3.6
3.8
1,408
Female
Train
... entually aim for more like 18. we had 15 in the current cohort-mm-hmm (affirmative).... so we can just have more training impact on the fellows.
[ { "feats": [ 0.02902006171643734, -0.15171901881694794, 0.20137469470500946, -0.12633098661899567, 0.6345089077949524, 0.30554065108299255, 0.011859208345413208, 1.1101876497268677, 0.7376816868782043, -0.009334142319858074, -0.7681307792663574, ...
N
3.2
3.4
3.6
1,408
Female
Train
we'd like to provide more opportunities for our alums...mm-hmm (affirmative).... so, both in terms of jobs and opportunities like that, but also, as i mentioned, to engage with us more actively on projects...
[ { "feats": [ 0.03862911835312843, -0.16364718973636627, 0.17294585704803467, -0.08636697381734848, 0.5735823512077332, 0.3365169167518616, 0.06854481250047684, 1.142943024635315, 0.704339325428009, 0.022988367825746536, -0.7552917003631592, ...
N
3.4
3.6
3.4
1,408
Female
Train
... that we might take in house, that alums and other engaged people in the space can get involved with so that we can provide sort of that rapid response capacity. and then, i think we're going to...
[ { "feats": [ 0.050656337291002274, -0.2329435497522354, 0.17837969958782196, -0.08212238550186157, 0.6393772959709167, 0.288362056016922, 0.06912701576948166, 1.086251974105835, 0.7102622985839844, 0.020822109654545784, -0.7766600251197815, ...
N
3.8
3.8
3
1,408
Female
Train
... consider whether it makes sense to do other areas of science and technology policy, where we could have impact, so imagine a cohort that's focused on climate change...
[ { "feats": [ 0.06051556020975113, -0.07360786199569702, 0.21317248046398163, -0.05373634397983551, 0.6123582720756531, 0.34073203802108765, 0.05018962174654007, 1.1348557472229004, 0.8112434148788452, -0.005167752504348755, -0.744215726852417, ...
H
3.6
3.4
3.6
1,408
Female
Train
mm-hmm (affirmative).... or imagine a cohort that's focused on improving our immigration system using technology, or... there are lots of topic areas that we could consider. so, i think we're...
[ { "feats": [ 0.08207084238529205, -0.10866716504096985, 0.2015136033296585, -0.029794858768582344, 0.6461548209190369, 0.2906784415245056, -0.0158047117292881, 1.1428062915802002, 0.8010538220405579, 0.01671951450407505, -0.6728253364562988, ...
H
3.4
3.8
3.8
1,408
Female
Train
... piloting not just a... type of training for technologists but a new way of training people generally on how to engage in the policy process. a much more...
[ { "feats": [ 0.06923140585422516, -0.13762542605400085, 0.15800684690475464, -0.023648731410503387, 0.6035319566726685, 0.3514673709869385, -0.01948072761297226, 1.1521942615509033, 0.7151970267295837, 0.034762099385261536, -0.7751776576042175, ...
H
3.6
3.6
3.6
1,408
Female
Train
... practical, pragmatic, engaged way of doing that. and so, we think that this is a methodology that could be taken to lots of different places. and so...
[ { "feats": [ 0.0537656769156456, -0.16031168401241302, 0.28305909037590027, 0.0012466147309169173, 0.6619569063186646, 0.3949909508228302, 0.03865814208984375, 1.2322063446044922, 0.7380014061927795, -0.05927466228604317, -0.7802167534828186, ...
H
3.4
3.4
3.4
1,408
Female
Train
... so, we're super excited to see where that goes, but we're also remaining extremely focused on sort of building this... fellowship program to be the best that it...
[ { "feats": [ 0.08100554347038269, -0.1396360695362091, 0.14355790615081787, -0.09044848382472992, 0.6104655861854553, 0.37323668599128723, 0.10195416212081909, 1.1853728294372559, 0.7218877673149109, 0.014282654970884323, -0.6644887924194336, ...
U
6
5.4
6.2
1,408
Female
Train
... can be, and while we're pretty happy with the pilots, we're definitely excited to improve and make it even better for the next great cohort.cool. and so for...
[ { "feats": [ 0.12804880738258362, -0.18811194598674774, 0.2425824999809265, -0.028679603710770607, 0.6957229375839233, 0.3577779233455658, 0.05369184911251068, 1.248590111732483, 0.7954981923103333, -0.03586569055914879, -0.6666412949562073, ...
H
3.8
3.2
3.6
1,408
Female
Train
one on the 7th and one on the 14th, so you can sign up directly from the fellowship page to the zoom links there, and we also have an event. we're doing...
[ { "feats": [ 0.06713806837797165, -0.14069399237632751, 0.1509712189435959, 0.008914260193705559, 0.6668865084648132, 0.3319949805736542, 0.07992113381624222, 1.2006295919418335, 0.6939885020256042, -0.023723773658275604, -0.7011674642562866, ...
N
3.8
3.4
3.2
1,408
Female
Train
... we'd love to have folks join us there. we just advise people really take the time to edit their applications. frankly, we receive most of our applications in the last...
[ { "feats": [ 0.021915767341852188, -0.1168532595038414, 0.1130831390619278, -0.07755977660417557, 0.6154080629348755, 0.3178417384624481, 0.046527378261089325, 1.2079063653945923, 0.7412595152854919, 0.04707387462258339, -0.6853549480438232, ...
U
6.2
5.4
6.2
1,408
Female
Train
... 48 hours anyways, and we... so, we know how technologists work, so we're not going to be surprised by that this time, but we did have...
[ { "feats": [ 0.1078239381313324, -0.18566766381263733, 0.2568070590496063, -0.04076291248202324, 0.6453127264976501, 0.3175124228000641, -0.01817651093006134, 1.2533833980560303, 0.7434846758842468, 0.006603560876101255, -0.7606965899467468, ...
H
6
5.6
6.2
1,408
Female
Train
... tremendous interest. last time, we got 271 applications, so it is a quite a competitive process, and the most important thing you can do is just take the time to really...
[ { "feats": [ 0.031254690140485764, -0.22606399655342102, 0.14767798781394958, -0.08049123734235764, 0.6176543831825256, 0.34644007682800293, 0.042053136974573135, 1.1250349283218384, 0.6886926889419556, -0.056161630898714066, -0.7449830770492554,...
N
3.6
3.6
3.6
1,408
Female
Train
... think of a creative idea and then edit your application. it's not a long application at all, but the strong applications were the ones that had clearly done it, done some...
[ { "feats": [ 0.04455721005797386, -0.15133154392242432, 0.11387349665164948, -0.05449574068188667, 0.6076377630233765, 0.32118481397628784, 0.04702956974506378, 1.182142972946167, 0.7100634574890137, -0.03798270598053932, -0.6984291672706604, ...
N
3.6
3.6
3
1,408
Female
Train
... word, copy editing, didn't have typos, really took the time to express their ideas, and that's... we're looking for your passion...
[ { "feats": [ 0.05042179301381111, -0.15398921072483063, 0.19876627624034882, 0.03873676806688309, 0.7215254306793213, 0.43471792340278625, 0.07538842409849167, 1.2548682689666748, 0.7554121613502502, -0.017553333193063736, -0.7588399052619934, ...
N
3.6
3.2
3.8
1,408
Female
Train
... and we're looking for your creativity, and you've got to be able to write to show us that. so, that's the main thing that i'd advise people do.
[ { "feats": [ 0.07576776295900345, -0.19182805716991425, 0.21178267896175385, -0.08951026201248169, 0.6908047199249268, 0.41718789935112, 0.09522560983896255, 1.2587641477584839, 0.7194762825965881, -0.023852869868278503, -0.7430586814880371, ...
N
3.6
3.6
3.6
1,408
Female
Train
and then, yeah. and then, we're... we'd just be really excited to have diverse people, so... the most common question i get from people is, "i don't know that much"...
[ { "feats": [ 0.04692121595144272, -0.229620099067688, 0.19978012144565582, -0.01729055494070053, 0.6891040205955505, 0.3825322389602661, -0.0003795778611674905, 1.359605312347412, 0.709965705871582, -0.02231905423104763, -0.6838725209236145, ...
N
3.4
3.6
3.4
1,408
Female
Train
... or data privacy or changing the way that we build technology to make it for social good. you are the people that we want and we...
[ { "feats": [ 0.040206074714660645, -0.09727512300014496, 0.17059659957885742, -0.06799989193677902, 0.7000682950019836, 0.41463014483451843, 0.04640918970108032, 1.1742055416107178, 0.8073149919509888, -0.0010684550506994128, -0.7628809213638306,...
H
3.6
3.6
3.6
1,408
Female
Train
... no, i'd just say we really need more technologists thinking about these questions. we...yeah.... one of the things our fellows keep joking about is that...
[ { "feats": [ 0.12173482775688171, -0.14621207118034363, 0.12937089800834656, -0.0061187827959656715, 0.668489396572113, 0.43352609872817993, 0.03575165942311287, 1.2624313831329346, 0.7385590076446533, -0.006428418215364218, -0.7391483187675476, ...
X
6
5.5
5.833333
1,408
Female
Train
... every single speaker comes in to... every single one comes in and says, "people in policy don't understand technology. we need more technologists and policies." so, whether you're interested in our...
[ { "feats": [ 0.13504132628440857, -0.14165441691875458, 0.17078910768032074, -0.040128305554389954, 0.4890734851360321, 0.2706291377544403, 0.011796056292951107, 1.0231003761291504, 0.7281719446182251, -0.017022250220179558, -0.7384680509567261, ...
N
3.8
3.4
3.6
1,408
Female
Train
... program, interested in techcongress, or just want to work within your company is to improve the way that people communicate on these issues. it's an incredibly important thing that our society needs.
[ { "feats": [ 0.0983738899230957, -0.18377044796943665, 0.1799410879611969, 0.012830608524382114, 0.6006496548652649, 0.34117844700813293, 0.03200963884592056, 1.0543540716171265, 0.7532439827919006, 0.011951945722103119, -0.7752113342285156, ...
H
3.2
3.6
3.6
1,408
Female
Train
and so, whether you're interested in our program or not, i hope you will be interested in contributing to that community.
[ { "feats": [ -0.015579216182231903, -0.20153260231018066, 0.16191232204437256, 0.024312712252140045, 0.6857951879501343, 0.38428300619125366, -0.005095863714814186, 1.2145894765853882, 0.7485826015472412, 0.046747513115406036, -0.7967519164085388...
H
3.8
3.6
4
1,407
Female
Train
you're old enough to start to actually run for office. so...right.i...
[ { "feats": [ 0.014559122733771801, -0.2120157778263092, 0.20978257060050964, -0.08231779932975769, 0.7698702216148376, 0.42291197180747986, 0.06442080438137054, 1.481404423713684, 0.7495553493499756, -0.06381712853908539, -0.7099238634109497, ...
H
5.6
5.2
6.6
1,407
Female
Train
i think it would be nice, and i don't really have anything in mind for how to formalize this yet, but i think it would be nice if there were some...
[ { "feats": [ 0.06619200855493546, -0.2232901006937027, 0.12159176915884018, -0.026476016268134117, 0.660781741142273, 0.41936179995536804, 0.02053425833582878, 1.3134294748306274, 0.6799587607383728, 0.05175251141190529, -0.649436891078949, ...
H
3.2
3.6
3.8
1,407
Female
Train
... reference that people could go to and say, "this person has a tech policy grade that's high and might make good tech policy...
[ { "feats": [ 0.03846795856952667, -0.1523338258266449, 0.17200541496276855, 0.007908912375569344, 0.6625291109085083, 0.38907143473625183, 0.09031224995851517, 1.3076677322387695, 0.7456103563308716, -0.06972327083349228, -0.7918325066566467, ...
H
6.6
5.8
6.2
1,407
Female
Train
... based on their background, based on what people who know about that field, think about their background, and this other person, not so much. so, that's kind of what i've been thinking about.
[ { "feats": [ 0.09060965478420258, -0.12702177464962006, 0.12180561572313309, -0.0649922713637352, 0.6566806435585022, 0.34985288977622986, 0.02791842818260193, 1.2771655321121216, 0.7602492570877075, -0.03649890795350075, -0.7770930528640747, ...
H
3.8
3
3.2
1,407
Female
Train
on their tech savviness?yeah, that was my thought, and also that it would be neat if people could come together and sort of decide what are the right...
[ { "feats": [ 0.08055705577135086, -0.1679365038871765, 0.13960601389408112, -0.00411522900685668, 0.6803010106086731, 0.372204452753067, 0.04474977031350136, 1.3695552349090576, 0.6455634832382202, 0.020389290526509285, -0.7951272130012512, ...
H
3.8
3.4
3.8
1,407
Female
Train
... i have no idea what to make of beto o'rourke's involvement in culting the dead cow without no...
[ { "feats": [ 0.03419090807437897, -0.15776103734970093, 0.09124838560819626, -0.0850716382265091, 0.7801104784011841, 0.46179842948913574, 0.06363928318023682, 1.5018479824066162, 0.8109119534492493, -0.0019784155301749706, -0.7253416180610657, ...
H
3.4
3.8
4
1,407
Female
Train
... you'd need to do a little research into the details and the length, and he kind of ran away from the issue when it became public, and i wound up spending some time...
[ { "feats": [ 0.1225380226969719, -0.16103433072566986, 0.11913879960775375, -0.0491192564368248, 0.7013053297996521, 0.3566395342350006, 0.04049024358391762, 1.3296664953231812, 0.7811728715896606, 0.022370019927620888, -0.6766319274902344, ...
N
3.6
3.2
3.4
1,407
Female
Train
... about good white-hat and black-hat hackers, and how the term "hacker" has gotten a bad name over the years.right.and you need to, perhaps, take a step back...
[ { "feats": [ 0.04140638932585716, -0.20750775933265686, 0.19892024993896484, -0.04818118363618851, 0.7571353912353516, 0.3868337869644165, 0.03820662945508957, 1.4319159984588623, 0.7880215048789978, -0.016743643209338188, -0.7097143530845642, ...
N
3.8
3.4
3.4
1,407
Female
Train
... and think about what it means to be a hacker and how that actually can be a good and healthy and productive thing.
[ { "feats": [ 0.09817346185445786, -0.16375832259655, 0.13653361797332764, -0.06658287346363068, 0.779373824596405, 0.3945893347263336, 0.08008097112178802, 1.40299391746521, 0.7761828899383545, 0.0517766959965229, -0.7459613084793091, -0.07...
H
3.4
4.2
3.6
1,407
Female
Train
on a scale of 1 to 10, it's maybe a 6 or whatever.right.and then... couple it up with all the rest of...
[ { "feats": [ 0.06632792949676514, -0.20148234069347382, 0.16214388608932495, -0.06501616537570953, 0.7563910484313965, 0.477276086807251, 0.08509513735771179, 1.4834634065628052, 0.7406812906265259, 0.02905070036649704, -0.7841887474060059, ...
N
3.4
3.6
3.6
1,407
Female
Train
... what you might know about a candidate, and i'm thinking the kinds of questions that you would ask... would not only have to do with their work history. i mean, you could start out really, obviously...
[ { "feats": [ -0.011174453422427177, -0.13939698040485382, 0.17473699152469635, -0.02544347196817398, 0.6955265402793884, 0.3727228343486786, 0.04997536540031433, 1.3195723295211792, 0.7208179235458374, -0.04222371429204941, -0.7785345911979675, ...
N
3.8
3.2
3.4
1,407
Female
Train
... i know what i do when i consider a candidate and think about whether they're going to be good for tech policy in the long run.
[ { "feats": [ 0.051343485713005066, -0.16168007254600525, 0.21881058812141418, -0.023818988353013992, 0.7754265666007996, 0.4254910349845886, 0.10032811760902405, 1.3456518650054932, 0.7944689393043518, -0.003403484122827649, -0.8001124858856201, ...
A
5.333333
2.166667
6.333333
1,407
Female
Train
of course, it's just a crapshoot. you don't know... like a supreme court justice, you don't know what they're going to do when it comes right down to it and they have to make a decision...
[ { "feats": [ 0.09409268945455551, -0.1755579710006714, 0.08822961151599884, -0.04053414613008499, 0.6266816854476929, 0.2830541729927063, 0.04770893603563309, 1.339764952659607, 0.7924739122390747, 0.015894215553998947, -0.5606256127357483, ...
N
3.8
3.6
3.4
1,407
Female
Train
... but you can make some educated guesses about what they might do. so, you definitely want to look at someone's background, where have they worked?
[ { "feats": [ 0.10932006686925888, -0.1984647959470749, 0.135677307844162, -0.11976400762796402, 0.6921737194061279, 0.3542673885822296, 0.01946950890123844, 1.408653974533081, 0.777195930480957, -0.08465280383825302, -0.7967369556427002, -0...
N
3.4
3.4
3.6
1,407
Female
Train
right.have they worked for a cable company? have they worked for an advertising agency? have they worked for a telecommunications firm, and what was their role there and were they...
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N
3.4
3.8
3.4
1,407
Female
Train
... involved in anything that touched tech policy? i think that would be a good question to ask. now, we've got people who, i mean, certainly i think you would be hard-pressed...
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A
6.333333
2.5
6.333333
1,407
Female
Train
... to find a politician who doesn't use social media in some way.right.and when they do, you have questions about their use of social media. are they speaking...
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H
3.2
3.4
3.6
480
Male
Train
people, because so many politicians don't do that. so that... that is, that is interesting.right, so, i mean, you would want to weigh that against something like, okay...
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U
6.4
5.4
6.6
1,407
Female
Train
... that could be a net positive for our purposes, but on the other hand, are they, are they fact-checking things? are they sharing information that is...
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S
2
3
1.2
1,407
Female
Train
... solid and tested and valid and stands up to scrutiny? are they harassing and bullying people online? i mean, i guess there are all kinds of things you could look...
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H
3.4
3.6
3.2
1,407
Female
Train
... at from one's publicly available social media history that would enable you to come up with.
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N
3.6
3.8
3.4
1,407
Female
Train
well, my take on that is: i think people would view it as an issue they voted on if they... had... a framework for making a good decision about each...
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N
3.2
3.6
3.4
1,407
Female
Train
... meddling problem that we're undergoing is terribly important...
[ { "feats": [ 0.02705121971666813, -0.24869956076145172, 0.09885203093290329, -0.04580866917967796, 0.772803544998169, 0.34134504199028015, 0.0697951689362526, 1.3540273904800415, 0.8837098479270935, 0.012216645292937756, -0.6948699355125427, ...
H
3.2
3.6
3.6
1,407
Female
Train
... but they don't really know how to turn that into something that sends a message at the ballot box, and i think they could use some help.yeah, no, i...
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A
6.2
1.6
6.6
1,407
Female
Train
... handlers' mouths about out how exactly they feel on all these issues.yeah.but history is history, and background is background, and those kinds of things can't be...
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N
3.4
3.8
3.4
1,407
Female
Train
... you can't split hairs about them. people, people have done what they've done and experienced what they've experienced. so, i think it's... while i think it would be important to develop some kind...
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N
4
3.6
3.8
1,407
Female
Train
... that we had about this time last year, where various... tech...
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N
3.2
3.6
3.4
1,407
Female
Train
... don't know whether they will, but what i want to see, what i would hope to see is people who are equipped to ask the right questions, at least.right.... and then... be able to...
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H
3.4
3.6
3.4
1,407
Female
Train
... is to admit that there are trade offs to any decisions that they make.right. in part, this question, this issue was partly addressed by steve jobs the only time i ever saw him speak, which...
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