<button href="https://drive.google.com/file/d/1jeuCsF8dkGh476PbKQr_4Pdf7RO3eyw2/view">Video</button>

"Einführung in Unfolded" presented at [CartoHack #07](https://visualisierung.dgfk.net/de/events/cartohack/07-unfolded/)
organized by the [German cartographic society](https://visualisierung.dgfk.net/en/).

Here's the abstract of the talk:

> <p>Moderne WebGL-basierte Lösungen ermöglichen es seit einiger Zeit auch größere Datenmengen performant und ansehnlich in Web-Kartenanwendungen darzustellen. Ilya Boyandin von <a href="https://www.unfolded.ai/">Unfolded.ai</a> wird zeigen, was <a href="https://deck.gl/">Deck.gl</a>, <a href="https://kepler.gl/">Kepler.gl</a> und <a href="https://www.unfolded.ai/studio">Unfolded Studio</a> so können und auch einen Einblick in sein speziell für aggregierte Bewegungsdaten entwickeltes Tool <a href="https://flowmap.blue/">FlowmapBlue</a> geben.</p>


![](cartohack1.jpg)


Introduction to Unfolded (in German)

<button href="https://www.youtube.com/watch?v=BduSKMaMAsg&t=215s">Video</button>
<button href="https://docs.google.com/presentation/d/1SXsvvx9ePPcIo26jLA-8SD9EVohIBe9srR0ykQIs93M/embed?start=false&loop=false&delayms=3000" variant=outline>Slides</button>


"Tools for Geo Data Visualization from the Unfolded team" presented at [Geo.Hackmin Week](https://cividi.ch/geohackmin-en/).

<iframe width="560" height="315" src="https://www.youtube.com/embed/BduSKMaMAsg?start=215" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>


Slides:
<iframe src="https://docs.google.com/presentation/d/1SXsvvx9ePPcIo26jLA-8SD9EVohIBe9srR0ykQIs93M/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>


Geo Visualization Tools from Unfolded

<button href="https://docs.google.com/presentation/d/1U8mybyOWGlgen8w4hsLm0Br_xOQb6W9N-fOvHK46IBg/embed?start=false&loop=false&delayms=3000" variant=outline>Slides</button>

 Presenting [FlowmapBlue](http://flowmap.blue) at 
 the [Urban Computing Foundation](https://uc.foundation/) Technical Advisory Council meeting.

Slides:
<iframe src="https://docs.google.com/presentation/d/1U8mybyOWGlgen8w4hsLm0Br_xOQb6W9N-fOvHK46IBg/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>


FlowmapBlue at Urban Computing Foundation

<button href="https://docs.google.com/presentation/d/15peaRD9ccPx9LfE1OC5ktpU4ChDKkhqCSLTPd00LWLQ/embed?start=false&loop=false&delayms=3000" variant=outline>Slides</button>


The talk was given in German at the [AGIT](https://agit.at/) symposium.

Here's the [abstract](https://www.conftool.com/giweek2020/index.php?page=browseSessions&form_session=156):
> FlowmapBlue ist eine Open-Source Webapplikation mit der man einfach interaktive geografische Flow Maps erstellen kann, mit Daten, die auf Google Sheets heraufgeladen werden. Das Tool hilft dabei wichtige Erkenntnisse über Mobilitätsdaten zu gewinnen. Es wird für sehr unterschiedliche Use-Cases verwendet: z.B. Migration, Flüchtlingsdaten, Pendlerverkehr, öV-Nutzung, Bikesharing, Vogelwanderung, Güterverkehr, Liefer- und Handelsdaten, epidemiologische Daten. Die Darstellung von vielen Flows auf einer Karte ist keine einfache Aufgabe. Damit das Tool gut skaliert und auch für grössere Datensätze brauchbar ist, musste ich bei der Entwicklung einige innovative Lösungen finden. Im Vortrag werde ich darüber berichten wie das Tool entstanden ist, wie es verwendet wird und wie die Herausforderungen gelöst wurden.

Slides:
<iframe src="https://docs.google.com/presentation/d/15peaRD9ccPx9LfE1OC5ktpU4ChDKkhqCSLTPd00LWLQ/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>


AGIT Symposium talk (in German)

<button href="https://www.youtube.com/watch?v=9vcELfXdp6I">Video</button>
<button href="https://docs.google.com/presentation/d/1MV51jJJX9Q0lYusd-35u1VhFeXs0ivmvdV2ximYtddM/embed?start=false&loop=false&delayms=3000" variant=outline>Slides</button>


The talk was presented at 
the [DataCouncil Zurich](https://www.meetup.com/fr-FR/DataCouncil-AI-Zurich-Data-Engineering-Science/events/267081855/) meetup.

How ClickHouse enables us at Teralytics to develop products for interactive exploration and visualization of data representing aggregated movements of people.

<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/9vcELfXdp6I?rel=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Slides:
<iframe src="https://docs.google.com/presentation/d/1MV51jJJX9Q0lYusd-35u1VhFeXs0ivmvdV2ximYtddM/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>




ClickHouse talk at DataCouncil

<button href="https://www.youtube.com/watch?v=BEkvW5cB3XA">Video</button>
<button href="https://docs.google.com/presentation/d/1NLrWQCfOSvZXlpmCeOOvMe6bJD1nUzCp40JTp9uCmEk/embed?start=false&loop=false&delayms=3000" variant=outline>Slides</button>


The talk ”Flow Maps” was presented online at 
the [Data Visualization Zurich](https://www.meetup.com/datavis-zurich/events/270384574/) meetup.

What are flow maps? Where do they come from and what are they used for? How can they help understanding mobility patterns or migration? What specific challenges do they represent and what are the alternatives? How do they scale to very large datasets?

<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/BEkvW5cB3XA?rel=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Slides:
<iframe src="https://docs.google.com/presentation/d/1NLrWQCfOSvZXlpmCeOOvMe6bJD1nUzCp40JTp9uCmEk/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>




Flow Maps talk at the DataVis Meetup

The talk "Visualizing mobility" was presented at 
the [DataFest conference](http://datafest.ge) in Tbilisi, Georgia.

Slides:
             
<iframe src="https://docs.google.com/presentation/d/e/2PACX-1vSrqRWfrDKDRw6EW7SlHCbqeRb_Qa4PQhynhS9QU7u84ntm99Ae222jKXSc12xFzdwTTACyE96Exkr5/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>


Internal migration in Georgia:
![Internal migration in Georgia](georgia.jpg)


Visualizing Mobility talk at the DataFest

The talk "Visualizing mobility" was presented at the [ondata and design Meetup](https://www.meetup.com/de-DE/ondataanddesign-Switzerland/events/265947767/) at the 
[YAAY studio](http://yaay.ch/) in Basel.

<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/8HvtlZg9MKU?rel=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Another video recording I took from my laptop with the QA after the talk:              
<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/tBDdtykkO7s?rel=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Slides:     

<iframe src="https://docs.google.com/presentation/d/e/2PACX-1vQ5stcOk_72D2iuyI7guvJoQuaNgJKvyfpmjxWTrLdiOnhbuaUcLSB5sRksgjyhph6R0xcg-qcow72K/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>



Talk at the "On data and design" meetup

The talk "Scalability of OD-data visualizations" was presented at the [Urban Mobility Symposium](https://www.citylab-berlin.org/events/mobilitysymposium_en/) at CityLAB Berlin.
             
<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/Cr6JtLRmSa8?rel=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Slides:     

<iframe src="https://docs.google.com/presentation/d/e/2PACX-1vSQh9EZUB3p4NX1SiikVnhCq5-g0SDid4oS6lbz3Boezb6NrGEzSCUqv67uctVXLGJHmAfGAoC5ITch/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>

              


Talk at the Urban Mobility Symposium

              
This talk was presented (in German) at the 
[Data Visualization Group meeting](http://www.digitale-nachhaltigkeit.unibe.ch/studium/data_visualization_group/index_ger.html):
at the University of Bern.
             
<iframe src="https://docs.google.com/presentation/d/e/2PACX-1vRGLq5FvKTPO1-re_7OfQv8NARy-iGpBysAjJzEGEZxKzdB_D52khHto5sivXs_V7zesZ6e5AyPyY89/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>
              


FlowmapBlue talk at the University of Bern

              
Presented at the UPS Advanced Technology Group seminar.
              
<iframe src="https://docs.google.com/presentation/d/e/2PACX-1vQINrKnrNmRYelPQ5AuJnuPRpUQwLMRBils4OcRdLdxMuf0dFr6qvwxRnFX-n-XDYHcYAul0BvvbkAZ/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>



Visualization of OD data at UPS


[Slides](https://docs.google.com/presentation/d/1bDZfB-g2AXBU_ExY3ho_HJGDderJygdk935V8rWhjXA)
for my presentation at the interdisciplinary 
workshop on [Environmental Changes and Human Mobility](http://www.clisel.eu/Ascona)
in Ascona.              
              
<iframe src="https://docs.google.com/presentation/d/e/2PACX-1vSxLKdtLQVPXVdU5FxtgMFptwGDdOsv4kQOdnOpLvE85ZDNumDxdjxk3cb7vqh8l5doh81Tp7M8VLTW/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>


Here's the abstract of the talk:

> Understanding human mobility patterns is important in fields like migration studies,
> urban and transportation planning, epidemiology, and disaster response. Data on
> human mobility are often voluminous and difficult to interpret in tabular form; therefore, visualisation plays an important role in their analysis. One of the most widely
> used visualisations of such data are flow maps that represent movement between
> geographical locations as lines of varying thicknesses. Flow maps usually do not accurately depict the exact movement routes. Instead they are aimed at answering questions such as: Where are the origins and the destinations of the flows on the map?
> What are the magnitudes of the flows? Where are the largest flows? Or more complex
> ones like: What is the spatial structure of the flows network?
>
> Until recently, making flow maps has involved manual drawing, or knowledge of programming or specialised software. I had learned from my experience developing flow
> mapping libraries that there was a need for a tool with which people without special
> knowledge could make flow maps and share them online. This is why I decided to
> develop FlowmapBlue. It is a web application for publishing interactive flow maps
> from data uploaded to online spreadsheets. It is free; it requires no installation and
> allows anyone to create a flow map in no time. Since the tool was released, people
> from different parts of the world have started using it to visualise various human mobility datasets and are sharing them with the general public.
> In the talk I will demonstrate the tool, show example datasets and discuss a few interesting patterns that can be discovered in them. I will speak about the challenges of
> visualisation of human mobility flows and about overcoming them. I will touch on the
> analysis of changes over time, on representing flows with attributes, and on the scalability of the general approach to very large datasets.


Human Mobility talk at CLISEL

I was invited to give a talk
at the <a href="https://gflowizworkshop.sciencesconf.org" target="_blank" rel="noopener">GFlowiz workshop</a>
at <a href="http://www.ifsttar.fr/en/welcome/" target="_blank" rel="noopener">IFSTTAR</a>
about the  tools we build for exploring large OD-datasets with hundreds of millions of records.
In the talk I demonstrated the dashboard we are developing at 
<a href="https://www.teralytics.net" target="_blank" rel="noopener">Teralytics</a>
for the analysis of this kind of data.
(<a href="https://goo.gl/D36oSi" target="_blank" rel="noopener">Slides</a> and <a href="https://www.youtube.com/embed/WZpFXLhleEQ?rel=0" target="_blank" rel="noopener"> video recording</a>).

![](whole-germany.png)

![](irma.png)

<iframe src="https://docs.google.com/presentation/d/e/2PACX-1vTqB406jn_4-B0T4ZepPdcyw3_98ST-zeEId9jm_6atMn8FdZGq-QviH_acODs_aSGTbCcJtadTtrvZ/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="569" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>

Here's the abstract of the talk:

> Origin-destination (OD) data represent numbers of movements of people or goods between locations. The size of such data depends quadratically on the number of locations involved. It can quickly grow to hundreds of millions of rows when flow attributes like time, mode of transport, duration are added to the dataset. Such large datasets cannot be entirely visualized in one image. Their analysis requires the use of summarization or interactive exploration techniques.
>
> I will speak about the web applications we are building at Teralytics for the analysis of movement of people in cities and countries. Scalability to the always growing data is an important challenge we are facing. I will discuss how we are using geographic flow map visualizations and other representations in this context, how we support querying across space and time and how we apply techniques like cross-filtering and on-the-fly aggregation for slicing and dicing the data. I will elaborate on choosing the right tools and the system architecture to ensure smooth interactivity and short query response times necessary for such interactive analysis.


Here are <a href="https://goo.gl/D36oSi" target="_blank" rel="noopener">the slides</a>
and a video recording:

<iframe width="560" height="315" src="https://www.youtube.com/embed/WZpFXLhleEQ?rel=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>



Scalable OD-data visualization at IFSTTAR

<button href="https://ilyabo.github.io/graphics-with-react/#/">Slides</button>
<button href="https://github.com/ilyabo/graphics-with-react" variant=outline>GitHub</button>

Talk "Graphics with React"
 in which I discussed the tradeoffs and some good practices about the use of SVG, Canvas and WebGL 
 (presented at [Zurich ReactJS Meetup](https://www.meetup.com/Zurich-ReactJS-Meetup/events/251517816/)).  


![](react-meetup-2018.png)

![react + svg](react-svg.png)

![react + canvas](react-canvas.png)

The source code for the slides (which are a React app) is available at 
[github.com/ilyabo/graphics-with-react](https://github.com/ilyabo/graphics-with-react).


Zurich ReactJS Meetup


I gave an introductory workshop into programming for kids
at [Freie Schule Bergmeilen](http://freie-schule-bergmeilen.ch/)
with the Lego Boost robot:

![](robotics-workshop2.jpg)

![](robotics-workshop3.jpg)

![](robotics-workshop4.png)




Robot programming workshop


The talk "Visualizing People Movement with React" presented at the Zurich ReactJS Meetup: 

<iframe src="https://docs.google.com/presentation/d/e/2PACX-1vRx3Ga4JtzgQQw9bTKVBa8cg6z6POF_YGzo_Vccoa9ZNuJ2z8kCTkJ-LArU_QXzU3Ie0JxQbxZax9Iq/embed?start=false&loop=false&delayms=3000" frameborder="0" width="960" height="749" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>

The slides are available [here](https://docs.google.com/presentation/d/19cYsulg6fS_cO1u5DL-iUmzS6n3H9hwFned0jpnNQrY/edit?usp=sharing).

<iframe width="560" height="315" src="https://www.youtube.com/embed/UdFxjsf5vsA?rel=0&amp;showinfo=0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>




Visualizing People Movement with React

I gave a talk at the <a href="https://openvisconf.com/2015/" target="_blank" rel="noopener">OpenVis conference</a> about 
using React for data visualization. Here are the [interactive slides](http://ilya.boyandin.me/openvis-react/) and 
a video recording:
 


<div style="text-align: center">
<iframe width="560" height="315" src="https://www.youtube.com/embed/dcLrbiHIX5M?rel=0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
</div>

Check <a href="https://github.com/ilyabo/openvis-react" target="_blank" rel="noopener">this page</a> for the source code of the slides.


I had the great pleasure to speak at the OpenVis conference about  using React for Data Visualization.

DataVis with React talk at OpenVis conf

"Making Sense of Data with Visualization" presented at [SICHH Forum Data on Visualization & Big Data](https://www.sichh.ch/about-us/events).

<embed src="sichh-talk-datavis-animation.mp4" alt="Data visualization animation">

<embed src="sichh-talk-datavis-animation-zoom.mp4" alt="Semantic zoom">

