Main

processing priority

3

site type

5 (wiki-type site, growing by topic rather than chronologically)

review version

11

html import

20 (imported)

Events

first seen date

2024-02-04 12:38:16

expired found date

-

created at

2024-06-08 04:38:12

updated at

2025-12-31 22:25:34

Domain name statistics

length

14

crc

54423

tld

86

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

87719371 (github.io)

previous id

0

replaced with id

0

related id

-

dns primary id

0

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

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page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

7972

mp size raw text

1670

mp inner links count

4

mp inner links status

20 (imported)

Open Graph

title

Data to Actionable Knowledge Lab

description

About DtAK

image

site name

Harvard DtAK Lab

author

updated

2025-12-20 05:17:32

raw text

Data to Actionable Knowledge Lab - Harvard DtAK Lab Harvard DtAK Lab Publications People 🎶 Joining Harvard DtAK Lab Harvard's Data to Actionable Knowledge lab, led by Prof. Finale Doshi-Velez. Follow Cambridge, MA Github YouTube Google Scholar Data to Actionable Knowledge Lab We are Harvard’s Data to Actionable Knowledge (DtAK) lab, led by Finale Doshi-Velez . We use probabilistic methods to address many decision-making scenarios involving humans and AI. Our work spans specific application domains (health and wellness) as well as broader socio-technical questions around human-AI interaction, AI accountability, and responsible and effective AI regulation. Our work falls into three major areas: Probabilistic modeling and inference : We focus especially on Bayesian models How can we characterize the uncertainty in large, heterogeneous data? How can we fit models that will be useful for downstream decision-making? How can we build models and inferen...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Pozostałe (16)

index version

2025110801

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

1317

text words

238

text unique words

130

text lines

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text sentences

15

text paragraphs

1

text words per sentence

15

text matched phrases

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text matched dictionaries

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RSS

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rss found date

-

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rss items

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rss spam phrases

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rss detected language

0 (awaiting analysis)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap status

30 (processing completed, results pushed to table crawler_sitemaps.ext_domain_sitemap_lists)

sitemap review version

1

sitemap urls count

9

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

2024-02-09 11:15:30

sitemap process date

2024-11-22 06:19:05

sitemap first import date

-

sitemap last import date

-