Databeers aims to bring together data experts from industry and academia at a level accessible to a wide audience. This initiative started in 2014 in Madrid and then spread to many other cities within Europe and elsewhere. We are now bringing Databeers to Dublin, and who can deny that Dublin is one of the most beer friendly cities in the world? Follow us on Twitter @databeersdub or write to [email protected] Organised by: Aonghus Lawlor + Davide Cellai + Francesca Conidi + Roberto Sarracco + Simon Rees + Stefano Gargantini
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Databeers Dublin #8
Hello DataFriends, Databeers Dublin is coming!
We hope to see you at our next event, taking place on Monday the 14th October 2019 at Google, Google Docks Building, Barrow Street, Grand Canal Dock, Dublin 4.
Registration starts at 5:30pm and ends at 6:30pm. After that time, access to the building will not be allowed. Please come early to avoid disappointment! Talks start at 6:45pm.
Beers will be kindly provided by Estrella Damm.
Databeers Dublin aims to bring together data experts from industry and academia, at a level accessible to a wide audience, by holding events which comprise of short talks from professionals with diverse expertise.
Please note that REGISTRATION ON EVENTBRITE IS ESSENTIAL to ensure we have enough beer for all attendees. Please register early to avoid disappointment!
Here are the speakers on the night:
1. Isabella Gollini Assistant Professor in Statistics at University College Dublin Exploring the structure of human smuggling networks
In this talk, we illustrate a new statistical methodology based on latent variable models for exploring the connectivity structure of a human smuggling network out of Libya. The data consists of ego-networks based on the wiretaps acquired by the Italian police on 29 suspects during an investigation period lasting from January to October 2014. We will show how to tackle the challenge given by the presence of a large number of anonymous contacts (more than 15k) involved in phone relations with the 29 suspects and often related to more than one suspect.
2. Andrew Parnell Hamilton Professor in the Hamilton Institute at Maynooth University Success with simplicity; a story of tsunamis and dating
In industry and academia data scientists are always striving to find the next big technique which will solve more generic problems. A common tactic is to generalise complex methods others have created. There is an inherent tension here: complex methods are often hard to understand and computationally slow, and they struggle for adoption in their community, yet they will often gain the most respect when presented. By contrast, simple techniques based on standard extensions of e.g. linear regression still maintain industry-leading performance. In this talk I will give some thoughts on when/where complex models might be appropriate and how simple models, at least in academia, can still lead to publications in some of the world’s top journals.
3. Mervi Sepp Product Manager, Data and Reporting at Topia Building neighborhoods with adaptive grids
How people divide cities into neighborhoods and how this is used in modeling rental prices and commute distances. A patent pending solution.
4. Patrick Callinan Head of Insights and Data Science at CarTrawler Suits vs geeks -- Make me want to stay and I'll want to make it pay
As a former data monkey and now a manager with a P&L, I need to make it all work - keep everyone happy and make tons of money with analytics. As an analyst, I've been demotivated by empty suits who clearly didn't understand what we do. And as a former management consultant, I've had to help companies recover from insane experiments in data science that cost millions and have yet to generate a dime (despite all the TedTalks and Meetup presentations those companies give). How do you make data science inspiring for your team and generate ROI? Do you have to tradeoff team happiness for dollars or can you find win-win? Yes. My current team of 15 is doing full cycle data science from idea to production. When someone leaves, the team has friends who want to join. And we make money. I'll present five ideas on how to do it right.
We hope to see as many of you there!
Sláinte and Happy Data everyone!
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Databeers Dublin #7
Hello DataFriends,
We hope to see you at our next event, taking place on the 28th February 2019 at 6:00pm at The Marker Hotel, Grand Canal Square, Docklands, Dublin 2, Ireland.
Registration starts at 6pm. Talks start at 6:30pm.
Beers will be kindly provided by Estrella Damm.
Databeers Dublin aims to bring together data experts from industry and academia, at a level accessible to a wide audience, by holding events which comprise of short talks from professionals with diverse expertise.
Please note that REGISTRATION ON EVENTBRITE IS ESSENTIAL to ensure we have enough beer for all attendees. Please register early to avoid disappointment!
Joining us on the night will be:
1. Clare Dillon Technology Evangelist at Clare Dillon Consulting
Ethics in Artificial Intelligence
Data and Artificial Intelligence (AI) are increasingly being used to fuel the Digital Transformation of enterprises, increase productivity, and ultimately change our work landscape. Analysts are predicting that by 2021, 75% of commercial enterprise apps will use AI. However, alongside the many examples of AI powering successful digital transformations, problematic scenarios have emerged of AI applications delivering biased decisions or discriminating against minorities. This session will offer some tips on how to ensure organisations avoid the potential ethical pitfalls associated with building or buying AI applications.
2. James Sweeney Lecturer at the Royal College of Surgeons in Ireland
Modelling House Prices in the Dublin Area: what is the impact of an address?
Typical reporting of the state of play of the Dublin housing market is mostly based on simple summaries of property prices, such as the mean of median price of a 3 bed property in a given postcode region. Alternatives, such as property tax estimators offered by the major players are limited in terms of the factors they use to estimate the value of a property for the purposes of tax payment, being primarily based on the dwelling type, number of bedrooms & bathrooms, as well as a comparison to nearby houses for which sales price may be known. Of substantial interest is whether there are subjective biases in terms of the prices people are willing to pay for a property - for example, will people overpay for perceived "good" addresses? Existing "hedonic" models for property prices cannot address this question as all of the factors impacting on price are not known.
3. John Carney Chief Data Scientist at OpenJaw Technologies
The 5 Data Trends That Matter in Travel in 2019
The world of data is evolving rapidly. 2018 was a remarkable year with previously arcane fields like machine learning and data privacy entering the zeitgeist for the first time. The travel industry has kept pace with this rapid evolution and expansion. Big Data and the fruits of monetising it effectively are now the subject of new, dedicated conferences in the industry and every airline, hotel chain and online travel agent either has a Data programme already in execution or planned. So 2019 is shaping up to be an exciting year for everybody working with Data in the travel industry. In this talk we take a quick tour of the 5 Data trends that the travel industry is focused on for 2019, spanning super-personalisation, data privacy, customer lifetime modelling and 'heart and mind' analytics.
4. Nathan Cunningham PhD Student in Statistics at Oxford and Warwick University
When did the 'golden age' of The Simpsons end?
Few Simpsons fans would argue with the claim that the show has suffered something of a decline in standards since its heyday in the 90s. While the existence of a 'golden age' is generally accepted, many different opinions exist on just which episodes, exactly, it comprises.In this talk, I explore a data-informed answer to this question. Using episode ratings from IMDb I divide the show into two distinct periods---the golden age, and after the golden age---using a constrained model-based cluster analysis. Given this division, I then consider one potential reason for the show's decline.
We hope to see as many of you there!
Sláinte and Happy Data everyone!
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Databeers #6
Hello DataFriends, Databeers Dublin is coming soon!
We hope to see you at our next event, taking place on the 3rd October 2018 at 6:30pm at New Relic, 31-36 Golden Lane, Dublin 8.
Registration starts at 6pm. Talks start at 6:30pm. Please be on time!
Beers will be kindly provided by Estrella Damm.
Databeers Dublin aims to bring together data experts from industry and academia, at a level accessible to a wide audience, by holding events which comprise of short talks from professionals with diverse expertise.
Please note that REGISTRATION ON EVENTBRITE IS ESSENTIAL to ensure we have enough beer for all attendees. Please register early to avoid disappointment!
Joining us on the night will be:
1. Eugene Kashdan Mathematician at Numerical Solutions Data science on service of medicine: all cells look the same, but some of them are cancer cells
2. Colm Clancy Research meteorologist at Met Éireann Numerical Weather Prediction at Met Éireann
3. Alberto Caimo Lecturer in Statistics at DIT Investigating the local dependencies of network data, the Bayesian way
4. Kieran Mahon Media Development Manager at Vodafone Dot Dash to Dot Thing
5. Michelle Carey Assistant Professor in Statistics at UCD Dynamic Data Analysis
We hope to see as many of you there!
Sláinte and Happy Data everyone!
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3rd October - save the date!
The next Databeers event will be on 3rd October in Dublin City Centre, and booking will be available on Eventbrite. Check back for details!
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Databeers Dublin #5
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Databeers #5
Hello DataFriends, Databeers Dublin is coming soon!
We hope to see you at our next event, taking place on the 21st June 2018 at 6:30pm at OpenJaw, Grattan Bridge House,1 Ormond Quay Upper, Dublin 7.
Beers will be kindly provided by Estrella Damm.
Databeers Dublin aims to bring together data experts from industry and academia, at a level accessible to a wide audience, by holding events which comprise of short talks from professionals with diverse expertise.
Please note that REGISTRATION ON EVENTBRITE IS ESSENTIAL to ensure we have enough beer for all attendees. Please register early to avoid disappointment!
Joining us on the night will be:
1. Shane Lynn CEO at EdgeTier Word Embeddings for Dummies
2. Jo O’Donovan Head of Data Science at eir Ireland Using an Agile Methodology in an Analytics Project
3. Frauke Hein Analyst in Advanced Analytics/AI at Accenture Statistical Modelling of Judicial Behaviour
4. Alessandra Sala Head of Analytics Research at Nokia Bell Labs The End of Information Overload and Cognitive Fatigue Era
We hope to see as many of you there!
Sláinte and Happy Data everyone!
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Databeers #4
Hello DataFriends, Databeers Dublin is back!
We hope to see you at our next event, taking place on the 15th March 2018 at 6:30pm at Workday, Kings Building May Ln, Arran Quay, Dublin 7.
Beers will be kindly provided by Estrella Damm.
Databeers Dublin aims to bring together data experts from industry and academia, at a level accessible to a wide audience, by holding events which comprise of short talks from professionals with diverse expertise.
Please note that REGISTRATION ON EVENTBRITE IS ESSENTIAL to ensure we have enough beer for all attendees. Please register early to avoid disappointment!
Joining us on the night will be:
1. Dominik Dahlem Director of Machine Learning at Optum / UnitedHealth Group Save our AI - Possible Challenges around inherent Biases and potential Threats as well as Opportunities to have AI explain itself
2. Dan Sinnott Chief Analytics Officer at the Office of the Revenue Commissioners Extraordinary Least Squares – Analytics for Tax Administration
3. Jonny Collins Chapter Leader at Data4Good Ireland Bootstrapping a Movement: 4 Years of doing Good with Data
4. Barry Smyth Digital Chair of Computer Science in University College Dublin Director of the Insight Centre for Data Analytics How Data helped me to run a faster Marathon
We hope to see as many of you there!
Sláinte and Happy Data everyone!
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DataBeers #3
After the long summer break, Databeers Dublin is back!
We'll meet at 6:30pm at Dogpatch Labs (CHQ building) on October 25th. Once again, beers will be provided by Estrella Damm.
Databeers Dublin aims to bring together data experts from industry and academia, at a level accessible to a wide audience, by holding events which comprise of short talks from professionals with diverse expertise.
Please note that REGISTRATION IS ESSENTIAL to ensure we have enough beer for all attendees. Please register early to avoid disappointment!
Joining us on the night will be:
1. Paul Quigley Senior Data Scientist at Idiro Analytics Choosing an analytics tool
2. Diarmuid Ryan Manager, Finance Business Intelligence at Google Data Den - the world's most inspiring data, infographics and visual evidence
3. Chiara Leva Assistant Lecturer in Health and Safety at DIT & co-founder of Tosca Solutions The ironies of automation in safety critical systems: new horizons for human machine interaction
4. Dave Tierney Head of Analytics Innovation at AIB Banking on you
See you soon!
Sláinte and Happy Data everyone!
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Databeers Dublin #2
Following the huge success of our first event, Databeers Dublin is back!
We hope to see both old and new faces at our second event, taking place at 6:30pm at Google HQ on the 25th April. Once again, beers will be provided by Estrella Damm.
Databeers Dublin aims to bring together data experts from industry and academia, at a level accessible to a wide audience, by holding events which comprise of short talks from professionals with diverse expertise.
Please note that REGISTRATION IS ESSENTIAL to ensure we have enough beer for all attendees. Please register early to avoid disappointment!
Joining us on the night will be:
1. Tim Willoughby Head of Digital Services and Innovation at An Garda Síochána Mobility challenges in An Garda Siochana
2. Brian MacNamee Lecturer at School of Computer Science, UCD Deep Learning, A Different Kind of Machine Learning or Not?
3. Ana Peleteiro Data Scientist at Zalando SE Understanding Fashion through Data
4. James Gleeson Chair of Industrial Mathematics, University of Limerick Mathematical modelling of cascades on networks
We hope to see as many of you there!
Sláinte and Happy Data everyone!
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Our first event sold out in 3 days! On the night we had a full house and three great talks. We also managed to avoid the hassle of undrunk beer to store till next time... thanks everyone for their help with making the event happen.
We are already planning the next Databeers event - do get in touch if you’re interested in speaking at Databeers Dublin.
Big thanks to http://brianallendesigns.com/ for the photos!
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