Schedule
Time -> Sessions
More than 112 sessions await you.
Wednesday, October 09 Morning
09:00
10:30 - 10:45
10:50 - 11:35
Hauptsaal
Keynote: Algo.Rules - How do we get the ethics into the code?
Carla Hustedt
PyData • Algorithms11:20
11:20
11:20
11:20
11:20
11:20
11:20
11:20
11:30 - 13:00
Saal 4
Tutorial: Get to grips with pandas and scikit-learn
Sandrine Pataut (QBE Insurance)
PyData • Algorithms, Data Science, Machine Learning11:30 - 12:45
Saal 7
Tutorial: Package and Dependency Management with Poetry
Steph Samson (Mercedes-Benz.io)
PyConDE • DevOps, Infrastructure, Use Cases11:50 - 12:20
Hauptsaal
Talk: Refactoring in Python: Design Patterns and Approaches
Tin Marković (Kiwi.com)
PyConDE • Business & Start-Ups, Community, Code-Review11:50 - 12:20
Saal 2
Talk: Boosting simulation performance with Python
Eran Friedman (CommonSense Robotics)
PyConDE • Infrastructure, Robotics11:50 - 12:20
Saal 10
Talk: Time Series Anomaly Detection for Bottling Machine Maintenance
Andrea Spichtinger (Syskron GmbH)
PyData • Algorithms, Data Science, Machine Learning11:50 - 12:20
Saal 6
Talk: 🌈Apache Airflow for beginners
Varya (Zalando)
PyConDE • Infrastructure, Data Engineering11:50 - 12:20
Saal 5
Talk: Visualizing Interactive Graph Networks in Python
Jan-Benedikt Jagusch (Instaffo GmbH)
PyData • Data Science, IDEs/ Jupyter, Networks, Visualisation, Python12:25 - 13:10
12:25 - 12:55
Saal 2
Talk: Hide Code, Minimize Dependencies, Boost Performance - The PyTorch JIT
Tilman Krokotsch (IAV GmbH)
PyData • Artificial Intelligence, Deep Learning, Data Science, Machine Learning12:25 - 13:10
Saal 10
Talk: Time series modelling with probabilistic programming
Sean Matthews (Deloitte Analytics Institute), Jannes Quer
PyData • Data Science, Statistics12:25 - 13:10
Saal 6
Talk: Practical DevOps for the busy data scientist
Dr. Tania Allard (Microsoft)
PyData • Algorithms, Big Data, Data Science, DevOps, Machine Learning12:25 - 13:10
Saal 5
Talk: How to choose better colors for your data visualizations
Daniel Ringler (Ancud IT)
PyData • Data Science, Visualisation12:45 - 13:45
13:00
13:00
13:00
13:00
13:00
13:00
13:00
Wednesday, October 09 Afternoon
13:50 - 15:20
14:00 - 14:30
14:00 - 14:30
Saal 2
Talk: Fighting fraud: finding duplicates at scale
Alexey Grigorev (OLX)
PyData • Data Science, Infrastructure, Machine Learning, Data Engineering14:00 - 14:30
Saal 10
Talk: CANCELLED: First steps in Julia
Felicia Burtscher (TU Berlin)
PyData • Artificial Intelligence, Algorithms, Deep Learning, Data Science, Networks, Machine Learning, Science14:00 - 14:30
Saal 6
Talk: Where Linguistics meets Natural Language Processing
Mariana Capinel
PyData • Natural Language Processing14:00 - 14:30
Saal 5
Talk: Automated Feature Engineering and Selection in Python
Franziska Horn (TU Berlin)
PyData • Data Science, Machine Learning, Science, Data Engineering, Statistics14:35 - 15:05
Hauptsaal
Talk: How MicroPython went into space
Christine Spindler (George Robotics Ltd.)
PyConDE • Microcontrollers14:35 - 15:05
Saal 2
Talk: AI Intentions and Code Completion
Vasily Korf (JetBrains)
PyData • Artificial Intelligence, Code-Review, IDEs/ Jupyter, Python14:35 - 15:05
Saal 10
Talk: Julia for Python
Simon Danisch (Nextjournal)
PyData • Data Science, Infrastructure, IDEs/ Jupyter, Parallel Programming14:35 - 15:05
Saal 6
Talk: Why you should (not) train your own BERT model for different languages or domains
Marianne Stecklina (omni:us)
PyData • Artificial Intelligence, Deep Learning, Data Science, Natural Language Processing, Machine Learning, Science14:35 - 15:05
Saal 5
Talk: Automating feature engineering for supervised learning? Methods, open-source tools and prospects.
Thorben Jensen (Informationsfabrik GmbH)
PyData • Artificial Intelligence, Algorithms, Data Science, Machine Learning, Data Engineering15:05
15:05
15:05
15:05
15:05
15:05
15:05
15:20 - 16:50
Saal 4
Tutorial: Hidden Markov Models for Chord Recognition - Intuition and Applications
Caio Miyashiro (Mytaxi)
PyData • Algorithms, Data Science, Machine Learning, Statistics15:20 - 16:50
Saal 7
Tutorial: pytest - simple, rapid and fun testing with Python
Florian Bruhin
PyConDE • Infrastructure15:30 - 16:00
Hauptsaal
Talk: Applying deployment oriented mindset for building Machine Learning models
Marianna Diachuk (Women Who Code Kyiv)
PyData • Data Science, Machine Learning15:30 - 16:00
Saal 2
Talk: Python-Powered OSINT! Modernising Open Source Intelligence for Investigating Disinformation
Chiin-Rui Tan (Rho Zeta AI), Dare Imam-Lawal (Rho Zeta AI)
PyData • Artificial Intelligence, Algorithms, Data Science, Machine Learning, Web, Data Mining / Scraping, Use Cases15:30 - 16:00
Saal 10
Talk: vtext: text processing in Rust with Python bindings
Roman Yurchak
PyData • Natural Language Processing15:30 - 16:00
Saal 6
Talk: Kartothek – Table management for cloud object stores powered by Apache Arrow and Dask
Florian Jetter (Blue Yonder - JDA Software)
PyData • Big Data, Data Engineering15:30 - 16:00
Saal 5
Talk: Developers vs. Enterprise
Ingo Stegmaier (Königsweg GmbH)
PyConDE • Community, Use Cases16:05 - 16:50
Hauptsaal
Talk: Production-level data pipelines that make everyone happy using Kedro
Yetunde Dada (QuantumBlack)
PyData • Data Science, DevOps, Machine Learning, Data Engineering16:05 - 16:35
Saal 2
Talk: Creating an Interactive ML Conference Showcase
Harald Bosch (Novatec Consulting GmbH)
PyData • Artificial Intelligence, Computer Vision, Deep Learning, IDEs/ Jupyter, Machine Learning16:05 - 16:50
Saal 10
Talk: Privacy-preserving Machine Learning for text processing
Sarah Diot-Girard (PeopleDoc)
PyData • Artificial Intelligence, Data Science, Natural Language Processing, Machine Learning16:05 - 16:50
Saal 6
Talk: Using Micropython to develop an IoT multimode sensor platform with an Augmented Reality UI
Nicholas Herriot (Samsung Research Istitute - London)
PyConDE • Augmented Reality, Networks, Microcontrollers, Visualisation16:05 - 16:35
Saal 5
Talk: Running An Open Source Project Like A Start Up
Cheuk Ting Ho
PyConDE • Business & Start-Ups, Community, Data Science, Machine Learning16:50 - 17:00
17:00 - 17:45
Hauptsaal
Keynote: PEP 581 and PEP 588: Migrating CPython's Issue Tracker
Mariatta Wijaya (Zapier)
PyConDE • Community, Use Cases17:45
18:30
Thursday, October 10 Morning
08:30
09:00
09:10 - 09:55
Hauptsaal
Keynote: Python 2020+
Łukasz Langa (Python Software Foundation)
PyConDE • Community, Use Cases, Python10:00 - 10:45
Hauptsaal
Talk: Gaussian Progress
Vincent Warmerdam (GoDataDriven)
PyData • Artificial Intelligence, Algorithms, Data Science, IDEs/ Jupyter, Machine Learning, Statistics10:00 - 10:45
Saal 2
Talk: Docker and Python - A Match made in Heaven
Dr. Hendrik Niemeyer (ROSEN Technology and Research Center GmbH)
PyConDE • Big Data, DevOps, Infrastructure10:00 - 10:45
Saal 10
Talk: Beyond Paradigms: a new key to grok Python & other languages
Luciano Ramalho (ThoughtWorks)
PyConDE • Algorithms, Code-Review10:00 - 10:45
Saal 6
Talk: Are you sure about that?! Uncertainty Quantification in AI
Florian Wilhelm (inovex)
PyData • Artificial Intelligence, Deep Learning, Data Science, Machine Learning, Science10:00 - 10:45
Saal 5
Talk: Tools that help you get your experiments under control
Katharina Rasch
PyData • Artificial Intelligence, Data Science, DevOps, Infrastructure10:00 - 11:30
Saal 4
Tutorial: Airflow: your ally for automating machine learning and data pipelines
Enrica Pasqua (Delivery Hero SE), Bahadir Uyarer (Delivery Hero SE)
PyData • Big Data, Infrastructure, Machine Learning, Data Engineering10:00 - 11:30
Saal 7
Tutorial: Fairness in decision-making with AI: a practical guide & hands-on tutorial using Aequitas
Pedro Saleiro (Feedzai)
PyData • Data Science, Machine Learning, Use Cases10:50 - 11:20
Hauptsaal
Talk: Gaussian Process for Time Series Analysis
Dr. Juan Orduz
PyData • Algorithms, Data Science, Machine Learning, Statistics10:50 - 11:20
Saal 2
Talk: 6 Years of Docker: The Good, the Bad and Python Packaging
Sebastian Neubauer (Blue Yonder - A JDA Company)
PyConDE • DevOps, Infrastructure, IDEs/ Jupyter, Use Cases10:50 - 11:20
Saal 10
Talk: 10 ways to debug Python code
Christoph Deil (MPIK)
PyConDE • Code-Review, IDEs/ Jupyter10:50 - 11:20
Saal 6
Talk: Embrace uncertainty! Why to go beyond point estimators for valuable ML applications
Stefan Maier (Blue Yonder, a JDA company)
PyData • Algorithms, Data Science, Machine Learning, Statistics10:50 - 11:20
Saal 5
Talk: A Tour of JupyterLab Extensions
Jeremy Tuloup (QuantStack)
PyData • Community, Data Science, IDEs/ Jupyter, Visualisation11:20
11:20
11:20
11:20
11:20
11:20
11:20
11:20
11:30 - 13:00
Saal 4
Tutorial: Build a Machine Learning pipeline with Jupyter and Azure
Daniel Heinze (Microsoft)
PyData • Computer Vision, Deep Learning, DevOps, IDEs/ Jupyter, Machine Learning, APIs, Python11:30 - 13:00
Saal 7
Tutorial: An Introduction to Concurrency and Parallelism using Python Programming Language
Tanmoy Bandyopadhyay (Aricent)
PyConDE • Algorithms, Parallel Programming11:50 - 12:20
Hauptsaal
Talk: Equivariance in CNNs: how generalising the weight-sharing property increases data-efficiency
Marysia Winkels (Aidence)
PyData • Artificial Intelligence, Algorithms, Computer Vision, Deep Learning, Data Science, Machine Learning, Science11:50 - 12:20
Saal 2
Talk: Data Literacy for Managers
Alexander CS Hendorf (KÖNIGSWEG)
PyData • Artificial Intelligence, Business & Start-Ups, Data Science, Machine Learning, Use Cases11:50 - 12:20
Saal 10
Talk: Break your API gently - or not at all
Tim Hoffmann (Carl Zeiss SMT GmbH)
PyConDE • APIs11:50 - 12:20
Saal 6
Talk: Dash: Interactive Data Visualization Web Apps with no Javascript
Dom Weldon (decisionLab)
PyData • Data Science, Visualisation, Web11:50 - 12:20
Saal 5
Talk: Want to have a positive social impact as a data scientist?
Ellen König (ThoughtWorks)
PyData • Community, Data Science12:25 - 12:55
Hauptsaal
Talk: Using adversarial samples to break and robustify your Vision Neural Network Models
Irina Vidal Migallón (Siemens Mobility GmbH)
PyData • Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning12:25 - 12:55
Saal 2
Talk: Avoiding ML FOBO
Rachel Berryman (AI Guild), Dânia Meira (AI Guild)
PyData • Algorithms, Business & Start-Ups, Data Science, Machine Learning12:25 - 13:10
12:25 - 12:55
Saal 6
Talk: Panel: Turn any notebook into a deployable dashboard
Philipp Rudiger (Anaconda Inc.)
PyData • Data Science, IDEs/ Jupyter, Visualisation12:25 - 12:55
Saal 5
Talk: Tackle the problems that really matter - leverage the power of data science in the service of humanity
Eva Schreyer (Data Science for Social Good Berlin DSSG), Lisa Zäuner
PyData • Business & Start-Ups, Community, Data Science13:00
13:00
13:00
13:00
13:00
13:00
13:00
Thursday, October 10 Afternoon
13:45 - 15:15
Saal 4
Tutorial: Kubernetes 101 for Python Developers
Christian Barra (Infarm)
PyConDE • DevOps, Infrastructure, Web, APIs, Use Cases13:45
14:00 - 15:00
Hauptsaal
Panel: Python Panel
Alexander CS Hendorf (KÖNIGSWEG), Hynek Schlawack (Variomedia AG), Mariatta Wijaya (Zapier), Łukasz Langa (Python Software Foundation), Stefan Behel
PyConDE • Community14:00 - 14:30
Saal 2
Talk: skorch: A scikit-learn compatible neural network library that wraps pytorch
Benjamin Bossan (NewYorker)
PyData • Deep Learning, Data Science, Machine Learning14:00 - 14:30
Saal 10
Talk: Birds of a feather flock together - Tracking pigeons with Python and OpenCV
Neslihan Edes (Ruhr-University Bochum)
PyData • Computer Vision, IDEs/ Jupyter, Science14:00 - 14:30
Saal 6
Talk: How to write tests that need a lot of data?
Sander Kooijmans (Protix)
PyData • Algorithms, Code-Review14:00 - 14:30
Saal 5
Talk: 10 Years of Automated Category Classification for Product Data
Johannes Knopp (solute)
PyData • Artificial Intelligence, Deep Learning, Data Science, Infrastructure, Machine Learning, Data Engineering14:35
14:35 - 15:05
Saal 2
Talk: Current affairs, updates, and the roadmap of scikit-learn and scikit-learn-contrib
Adrin Jalali (Anaconda Inc.)
PyData • Artificial Intelligence, Community, Code-Review, Machine Learning14:35 - 15:05
Saal 10
Talk: Detecting and Analyzing Solar Panels in Switzerland using Aerial Imagery
Martin Christen (FHNW - University of Applied Sciences and Arts Northwestern Switzerland)
PyData • Big Data, Computer Vision, Deep Learning, Data Science, Machine Learning, Visualisation14:35 - 15:05
Saal 6
Talk: venv, pyenv, pypi, pip, pipenv, pyWTF?
Simone Robutti (Teraki)
PyConDE • Code-Review, DevOps14:35 - 15:05
Saal 5
Talk: Dr. Schmood's Notebook of Python Calisthenics and Orthodontia
David Schmudde (Nextjournal)
PyConDE • Data Science, IDEs/ Jupyter15:05
15:05
15:05
15:05
15:05
15:05
15:05
15:15 - 16:45
Saal 4
Tutorial: Quantum computing with Python
James Wootton (IBM Research)
PyData • Algorithms, Infrastructure, Microcontrollers, Science, APIs15:15
15:30 - 16:00
15:30 - 16:00
Saal 2
Talk: Should I stay or should I go? Optimal exercise decisions using the Longstaff-Schwartz algorithm
Benedikt Rudolph (Lucht Probst Associates)
PyData • Algorithms, Business & Start-Ups, Data Science, Science, Statistics15:30 - 16:00
Saal 10
Talk: From body and code <programming in times of acceptance>
Paloma (autonomous| part os PyLadies Berlin)
PyConDE • Business & Start-Ups, Community, Web15:30 - 16:00
Saal 6
Talk: Using Overhead Video Capture to Analyse Grouping Behaviour of Dancers in a Silent Disco
Nelson Mooren
PyData • Computer Vision, Science15:30 - 16:00
16:00 - 17:30
16:05 - 16:50
Hauptsaal
Talk: Is it me, or the GIL?
Christoph Heer (SAP SE)
PyConDE • Infrastructure, Parallel Programming, Visualisation16:05 - 16:35
Saal 2
Talk: Active Learning with Bayesian Nonnegative Matrix Factorization for Recommender Systems
Gönül Aycı (Bogazici University)
PyData • Statistics16:05 - 16:50
Saal 10
Talk: Commenting code — beyond common wisdom
Stefan Schwarzer (SSchwarzer.com)
PyConDE • Code-Review16:05 - 16:35
Saal 6
Talk: How strong is my opponent? Using Bayesian methods for skill assessment
Darina Goldin (Bayes Esports Solutions)
PyData • Algorithms16:05 - 16:50
Saal 5
Talk: Chips Made From Python
Dan Fritchman (HW21)
PyConDE • Microcontrollers, Parallel Programming, Science, Makers16:50 - 17:00
17:00 - 17:45
Hauptsaal
Keynote: Extended Ligthning Talks CANCELLED: Crunching Numbers Like a Journalist
Marie-Louise Timcke (FUNKE Zentralredaktion Berlin GmbH)
PyData • Big Data, Data Science, Statistics17:45
17:45
18:30
19:00 - 01:00
Friday, October 11 Morning
08:30
09:00
09:10 - 09:55
Hauptsaal
Keynote: Rethinking Open Source in the Era of Cloud & Machine Learning
Peter Wang (Anaconda)
PyData • Python10:00 - 10:45
Hauptsaal
Talk: Law, ethics and machine learning – a curious ménage à trois
Dr. Benjamin Werthmann (werthmann.legal)
PyData • Artificial Intelligence, Big Data, Machine Learning10:00 - 10:45
Saal 2
Talk: Introduction to automated testing with pytest
Raphael Pierzina (Mozilla)
PyConDE • DevOps, Web, Data Engineering10:00 - 10:45
Saal 10
Talk: CANCELLED: Fresh New Pythonic Database: EdgeDB (And Why It's the Future)
Dmitry Nazarov (DataArt)
PyConDE • Web, Use Cases10:00 - 10:45
Saal 6
Talk: Version Control for Data Science
Alessia Marcolini (Fondazione Bruno Kessler)
PyData • Artificial Intelligence, Data Science, Machine Learning10:00 - 10:45
Saal 5
Talk: Why you don’t see many real-world applications of Reinforcement Learning.
Yurii Tolochko (BASF)
PyData • Artificial Intelligence, Algorithms, Deep Learning, Machine Learning, Statistics10:00 - 11:30
Saal 4
Tutorial: CANCELED: Create CUDA kernels from Python using Numba and CuPy.
Valentin Haenel (Anaconda Inc.)
PyData • Algorithms, Big Data, Data Science, Parallel Programming10:00 - 11:30
Saal 7
Tutorial: Managing the end-to-end machine learning lifecycle with MLFlow
Tobias Sterbak (Freelancer @ depends-on-the-defintion)
PyData • Data Science, Infrastructure, Machine Learning, Data Engineering10:50 - 11:20
Hauptsaal
Talk: Transforming a Legacy System into a Bias-Mitigating AI Solution for Debt Repayment
Avaré Stewart (EOS DID (Otto Group))
PyData • Artificial Intelligence, Data Science, Natural Language Processing, Machine Learning, Data Engineering10:50 - 11:20
Saal 2
Talk: Abridged metaprogramming classics - this episode: pytest
Oliver Bestwalter (Avira)
PyConDE • Algorithms, Code-Review, APIs, Use Cases10:50 - 11:20
Saal 10
Talk: Strawberry: a dataclasses inspired approach to GraphQL
Patrick Arminio (Verve)
PyConDE • Django, Web10:50 - 11:20
Saal 6
Talk: Monitoring infrastructure and application using Django, Sensu and Celery.
Hari Kishore Sirivella (OpenTable Inc.)
PyConDE • Django, DevOps, Infrastructure10:50 - 11:20
Saal 5
Talk: Loss Function Theory 101
David Wölfle (FZI Research Center for Information Technology)
PyData • Artificial Intelligence, Algorithms, Deep Learning, Data Science, Machine Learning, Statistics11:20
11:20
11:20
11:20
11:20
11:20
11:20
11:20
11:30 - 13:00
Saal 4
Tutorial: Decentralized and Privacy-Preserving ML via TensorFlow Federated
Peter Kairouz (Google), Amlan Chakraborty
PyData • Artificial Intelligence, Deep Learning, Data Science, Machine Learning, Data Engineering11:30 - 13:00
Saal 7
Tutorial: Parallel programming for python developers – Let’s Go(lang)
Dominik Henter (Ecosia), Jéssica Lins (Ecosia)
PyConDE • Infrastructure, Networks, Parallel Programming11:50 - 12:20
11:50 - 12:20
Saal 2
Talk: Optimizing Input: Building your own customized keyboard
Daniel Rios (Jonas und der Wolf)
PyConDE • Community, Microcontrollers, Makers11:50 - 12:20
Saal 10
Talk: What we learned from scraping 1 billion webpages every month
Samet Atdag (Prisync)
PyConDE • Business & Start-Ups, Big Data, Infrastructure, Web, Data Engineering11:50 - 12:20
Saal 6
Talk: Leveraging the advantages of Bayesian Methods to build a data science product using PyMC3
Korbinian Kuusisto (Dalia Research)
PyData • Algorithms, Business & Start-Ups, Data Science, Machine Learning, Science, Statistics11:50 - 12:20
Saal 5
Talk: Professional Development and Career Progression for Data Scientists
Noa Tamir
PyData • Business & Start-Ups, Community, Data Science12:25 - 12:55
12:25 - 12:55
Saal 2
Talk: Your Name Is Invalid!
Miroslav Šedivý (solute GmbH)
PyData • Algorithms, Community, Natural Language Processing, Web, Data Mining / Scraping, Use Cases12:25 - 12:55
Saal 10
Talk: Driving 3D Printers with Python: Lessons Learned
Gina Häußge (OctoPrint)
PyConDE • Web, 3D Priniting, Makers12:25 - 12:55
Saal 6
Talk: A Bayesian Workflow with PyMC and ArviZ
Corrie Bartelheimer (Europace AG)
PyData • Data Science, Statistics12:25 - 13:10
Saal 5
Talk: Lessons Learned as a Product Manager in Data Science
Tereza Iofciu (mytaxi)
PyData • Business & Start-Ups, Data Science, Machine Learning13:00
13:00
13:00
13:00
13:00
13:00
13:00
13:00
Friday, October 11 Afternoon
13:45 - 15:15
Saal 4
Tutorial: Using machine learning for Level Generation in Snake (video-game)
Filipe Silva (FREE NOW)
PyData • Data Science, Machine Learning13:45 - 14:15
14:00 - 15:00
Hauptsaal
Panel: Job Panel
Christian Barra (Infarm), Tereza Iofciu (mytaxi), Katharina Rasch, Matteo Guzzo, Sieer Angar
PyConDE • Business & Start-Ups14:00 - 14:30
Saal 2
Talk: Interpretable Machine Learning: How to make black box models explainable
Alexander Engelhardt (Engelhardt Data Science GmbH)
PyData • Data Science, Machine Learning14:00 - 14:30
Saal 10
Talk: Does hate sound the same in all languages?
Andrada Pumnea (Futurice GmbH)
PyData • Deep Learning, Data Science, Natural Language Processing, Data Mining / Scraping14:00 - 14:30
Saal 6
Talk: Friend or Foe: Comparison of R & Python in Data Wrangling & Visualisation
Yuta Kanzawa (Janssen Pharmaceutical K.K., Tokyo; Johnson & Johnson)
PyData • Data Science, Machine Learning, Visualisation, Statistics14:00 - 14:30
Saal 5
Talk: Machine learning with little data - from digital twin to predictive maintenance
Andreas Hantsch (CLOUD&HEAT Technologies GmbH)
PyData • Deep Learning, Machine Learning, Science14:35
14:35 - 15:20
14:35 - 15:20
Saal 10
Talk: The Sound of Silence: Online Misogyny and How we Model it
Teresa Ingram
PyData • Community, Natural Language Processing, Machine Learning14:35 - 15:05
Saal 6
Talk: Making the complex simple in data viz
Tania Vasilikioti (Babbel)
PyData • Data Science, Visualisation14:35 - 15:05
Saal 5
Talk: Take control of your hearing: Accessible methods to build a smart noise filter
Peggy Sylopp (pexlab.space), Aislyn Rose
PyData • Artificial Intelligence, Algorithms, Computer Vision, Deep Learning, Data Science, Machine Learning, Science15:05
15:05
15:05
15:05
15:05
15:30 - 15:45
15:45
16:15 - 16:45
16:45