Jun 19, 2015 · 24m · mad

Gideon Mann, Bloomberg // Doing Good is Good Business (Hosted by FirstMark Capital)

Gideon Mann · 12m spoken Natalia Adler · 5m spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

At a FirstMark Capital Data Driven NYC event, Bloomberg Lead of Data Science Gideon Mann and guest speakers from UNICEF explore how data science, natural language processing, and predictive analytics are applied beyond financial markets to address municipal governance, civic technology, and global humanitarian challenges.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 0.6% of the talking time here. How this is scored →

Matt as informed peer 0.0 Guest teaching 1.8 Guest disagreement 0.3 Matt pushing back 0.0
05100:0010:0020:001:23–4:48 · Matt as informed peer 0/10 Data for Social Good Initiatives and What Works Cities Gideon Mann presents Bloomberg's civic data initiatives like What Works Cities in a monologue keynote format. The host does not speak or engage during this segment.4:48–8:51 · Matt as informed peer 0/10 Keynote Speakers and Leaders in Civic Data Science Mann continues his presentation detailing civic data leaders and the Data for Good Exchange conference. The host remains entirely absent from the dialogue.8:51–15:24 · Matt as informed peer 0/10 UNICEF Guest Presentation: Data Science for Children's Rights UNICEF guests Natalia Adler and Manuel outline how data science aids children's rights and humanitarian responses. This is a monologue presentation with zero host participation.15:24–24:45 · Matt as informed peer 0/10 Audience Q&A: Data Privacy, Embedded Researchers, and Corporate Social Responsibility Guests respond to audience questions on open data privacy and cross-sector partnerships. The host acts purely as an MC to moderate Q&A time without offering technical expertise or pushback.1:23–4:48 · Guest teaching 1/10 Data for Social Good Initiatives and What Works Cities Gideon Mann presents Bloomberg's civic data initiatives like What Works Cities in a monologue keynote format. The host does not speak or engage during this segment.4:48–8:51 · Guest teaching 1/10 Keynote Speakers and Leaders in Civic Data Science Mann continues his presentation detailing civic data leaders and the Data for Good Exchange conference. The host remains entirely absent from the dialogue.8:51–15:24 · Guest teaching 2/10 UNICEF Guest Presentation: Data Science for Children's Rights UNICEF guests Natalia Adler and Manuel outline how data science aids children's rights and humanitarian responses. This is a monologue presentation with zero host participation.15:24–24:45 · Guest teaching 3/10 Audience Q&A: Data Privacy, Embedded Researchers, and Corporate Social Responsibility Guests respond to audience questions on open data privacy and cross-sector partnerships. The host acts purely as an MC to moderate Q&A time without offering technical expertise or pushback.1:23–4:48 · Guest disagreement 0/10 Data for Social Good Initiatives and What Works Cities Gideon Mann presents Bloomberg's civic data initiatives like What Works Cities in a monologue keynote format. The host does not speak or engage during this segment.4:48–8:51 · Guest disagreement 0/10 Keynote Speakers and Leaders in Civic Data Science Mann continues his presentation detailing civic data leaders and the Data for Good Exchange conference. The host remains entirely absent from the dialogue.8:51–15:24 · Guest disagreement 0/10 UNICEF Guest Presentation: Data Science for Children's Rights UNICEF guests Natalia Adler and Manuel outline how data science aids children's rights and humanitarian responses. This is a monologue presentation with zero host participation.15:24–24:45 · Guest disagreement 1/10 Audience Q&A: Data Privacy, Embedded Researchers, and Corporate Social Responsibility Guests respond to audience questions on open data privacy and cross-sector partnerships. The host acts purely as an MC to moderate Q&A time without offering technical expertise or pushback.1:23–4:48 · Matt pushing back 0/10 Data for Social Good Initiatives and What Works Cities Gideon Mann presents Bloomberg's civic data initiatives like What Works Cities in a monologue keynote format. The host does not speak or engage during this segment.4:48–8:51 · Matt pushing back 0/10 Keynote Speakers and Leaders in Civic Data Science Mann continues his presentation detailing civic data leaders and the Data for Good Exchange conference. The host remains entirely absent from the dialogue.8:51–15:24 · Matt pushing back 0/10 UNICEF Guest Presentation: Data Science for Children's Rights UNICEF guests Natalia Adler and Manuel outline how data science aids children's rights and humanitarian responses. This is a monologue presentation with zero host participation.15:24–24:45 · Matt pushing back 0/10 Audience Q&A: Data Privacy, Embedded Researchers, and Corporate Social Responsibility Guests respond to audience questions on open data privacy and cross-sector partnerships. The host acts purely as an MC to moderate Q&A time without offering technical expertise or pushback.

speaking balance: gold is Matt, purple is the guest (3 minute bins)

0:00 · Matt 0% · guest 100%0:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%15:00 · Matt 1.7% · guest 98.3%15:00 · Matt 1.7% · guest 98.3%18:00 · Matt 0.6% · guest 99.4%18:00 · Matt 0.6% · guest 99.4%21:00 · Matt 0% · guest 100%21:00 · Matt 0% · guest 100%24:00 · Matt 11.1% · guest 88.9%24:00 · Matt 11.1% · guest 88.9%
Sharpest disagreement ▶ 17:00 Reframing Kaggle open-data suggestion

Manuel politely reframes an audience member's idea of putting civic data on Kaggle, highlighting severe privacy and do-no-harm concerns when handling phone records in post-conflict areas like Liberia.

Hardest push from Matt ▶ 20:12 Host caps Q&A session length

Host Matt Turck intervenes strictly as a moderator to enforce time limits by announcing 'One last question'.

Biggest teaching moment ▶ 17:00 Educating on privacy constraints in humanitarian data

Manuel educates the audience on why open data contest platforms like Kaggle cannot be used for sensitive call detail records during crises due to ethical do-no-harm imperatives.

Matt holds his own ▶ 15:24 Host guides floor transition to audience Q&A

Host Matt Turck briefly asserts control over event structure by asking the presenters if they want to take questions and inviting audience participation.

the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
Data for Social Good Initiatives and What Works Cities 0100 Gideon Mann presents Bloomberg's civic data initiatives like What Works Cities in a monologue keynote format. The host does not speak or engage during this segment.
Keynote Speakers and Leaders in Civic Data Science 0100 Mann continues his presentation detailing civic data leaders and the Data for Good Exchange conference. The host remains entirely absent from the dialogue.
UNICEF Guest Presentation: Data Science for Children's Rights 0200 UNICEF guests Natalia Adler and Manuel outline how data science aids children's rights and humanitarian responses. This is a monologue presentation with zero host participation.
Audience Q&A: Data Privacy, Embedded Researchers, and Corporate Social Responsibility 0310 Guests respond to audience questions on open data privacy and cross-sector partnerships. The host acts purely as an MC to moderate Q&A time without offering technical expertise or pushback.

Statements from this episode (3)

Disclosure
Bloomberg's emerging model: selling data feeds to machines, not just humans
“We also sell this as a data feed which is an interesting kind of emerging model for our business is how do we provide data not just to people but also to machines.”
Gideon Mann Jun 19, 2015 ▶ 1:00
Assertion Contradicted
NYC used building water flow rates to detect illegal overcrowding
“They did things like figure out what buildings to inspect which might be overcrowding by looking at max mix-ups between the stated building occupancy rates and the water flow rates.”
Gideon Mann Jun 19, 2015 ▶ 3:18
Disclosure
UNICEF's U-Report engaged 800,000 marginalized youth across 16 countries
“Very recently we have launched a U-Report in 16 countries, and we have engaged marginalized youth, over 800,000 marginalized youth, in trying to voice their opinions about things that matter to them, and giving real-time information to the government so they c…”
Natalia Adler Jun 19, 2015 ▶ 12:03
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