Channel
@KDDLab
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
3subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001263555909 |
|---|---|
| Type | Channel |
| Username | @KDDLab |
| Description | News from the Knowledge Discovery and Data Mining Laboratory in Pisa http://kdd.isti.cnr.it |
| Created | Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/KDDLab |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 16:03 | 3 | no change |
| 7 Aug 2026, 21:37 | 3 | first reading |
20 posts held, back to 18 November 2022 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 27 April 2023. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
kdd_lab Just tweeted ********************************************** RT @SoBigData: 📣 All businesses and companies are expected to take part! Q&A event: https://t.co/dK0lKHgSPv Our experts on big data will answer your questions on Challenge Us, the free opportunity to exploit the value of your firm's data. Any doubt? Let's participate! #data #Industry40 https://t.co/9KLKaW9sNr
kdd_lab Just tweeted ********************************************** RT @Yquetzal: Thanks to @SoBigData project, I got the occasion to visit @GiulioRossetti at @kdd_lab in Pisa during the last 3 weeks. An excellent occasion to share ideas and work on new projects ! Plus an enjoyable walk to work every morning... https://t.co/sFcmOBJUC1
kdd_lab Just tweeted ********************************************** RT @ruggieris: @andrepugni @RealAAAI @autreche @DinoPedreschi @ComandeGiovanni @kdd_lab @SoBigData Ready for the poster session! @andrepugni @kdd_lab https://t.co/yX3CROByb7
kdd_lab Just tweeted ********************************************** RT @gmauro_10: 📢🎉 Latest paper out in @epj_ds ! We release MoGAN, an AI-based algorithm able to generate realistic Mobility Networks. Also, we propose a novel framework for evaluating GANs perfomances. 📑Paper 👉 https://t.co/vrllxNRjXm 💻Open source code and data 👉https://t.co/uhnXQm8H4M https://t.co/DJ3POleVgA
kdd_lab Just tweeted ********************************************** RT @andrepugni: Very glad I'll be presenting my PhD project on selective classification under @ruggieris and prof Chiaromonte supervision at #AAAI23 @RealAAAI DC today. A special thanks also to my panel members @autreche @DinoPedreschi @ComandeGiovanni and to @kdd_lab XAI project and @SoBigData. https://t.co/kn0YrwnYWq
kdd_lab Just tweeted ********************************************** RT @ruggieris: On my way to #AAAI23 to ask "Can We Trust Fair-AI?" with @cc_jalvarez @andrepugni @lr_state and Franco Turini. @NoBIAS_ITN @kdd_lab https://t.co/w5taNJRUAY
kdd_lab Just tweeted ********************************************** RT @DinoPedreschi: Join the FAIR project team at Scuola Normale Superiore in Pisa, Italy, to develop the future breakthroughs of Human-centered Artificial Intelligence! Two 3-years researchers positions open. Apply online within 17 February 2023 https://t.co/kzNsNrNWfh https://t.co/m6G9c2Garn
kdd_lab Just tweeted ********************************************** RT @NationalPhdAI: A new #Call for 24 positions with #Grant at the National #PhD in #ArtificialIntelligence for society has been published by University of #Pisa Deadline: February 1st https://t.co/iB7n8BPO95
kdd_lab Just tweeted ********************************************** RT @SoBigData: Generation of complete realistic cellular network traffic. Read the full article 👇 https://t.co/uYHRLGqwxT #Mobility #DataScience @kdd_lab https://t.co/wQ1SSOTHVL
kdd_lab Just tweeted ********************************************** RT @DinoPedreschi: Join the #XAI - ERC project teams at Pisa, Italy, to develop the future breakthroughs of Human-centered, Explainable Artificial Intelligence for Collaborative Decision Making! Two-years postdoc open, competitive salary! https://t.co/9sy5r7YWVC https://t.co/I0kjRwHdgd
kdd_lab Just tweeted ********************************************** RT @NetSciX23: Prof. Fosca Giannotti (Scuola Normale Superiore, Pisa) will be presenting a Keynote Talk on "The social dimensions of human-centered AI" at #NetSciX2023 @kdd_lab @IstiCnr @Unipisa You can find the abstracts of all keynote and invited talks at https://t.co/VdBFl4eROe. https://t.co/B5H4SoXMOn
kdd_lab Just tweeted ********************************************** RT @SoBigData: It is crucial to have an open space where researchers can carry out their research accurately and efficiently, but also ethically. #SoBigData RI is one such place. @rtrasarti at the @SoBigData conference at @ifdad_forum. @ReImagineEuropa @kdd_lab #technology #democracy #AI https://t.co/X7gmgOV4V1
Showing the 12 most recent of 20 posts we hold for @KDDLab. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@KDDLab named 22 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“KDD Lab Pisa” (@KDDLab), 3 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/KDDLab.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.