Agenda
Sep 19-Sep 21 | Pullman Tbilisi Axis Towers, 37 Ilia Chavchavadze Avenue, Tbilisi 0179, Georgia
19 Sept.
Data for Human Rights & Equality, DataVoter
16:30
30 min
Democracy Stage Talks (Main Stage)
Make peace tangible and actionnable
Serge Stroobants
Director of Europe & MENA
at the Institute for Economics and Peace
The Institute for Economics and Peace produces research at the intersection of business, economics and peace. It places a special emphasis on metrics to measure peace, operational programs to improve peace, and the economic benefits of peace. Your path as a peace builder can and should be data-driven, evidence based, and supported by a strong and systemic approach to the existing global systemic challenges. The Global peace index 2024 produces a gloomy picture of world peace which should invite us to become actors of peace and not take the current and future situation as our unchangeable faith!
19 Sept.
Data Journalism
17:00
30 min
Terminal Co-Working Area
Co-working Chat: Data Journalism
Engage in discussions in informal settings with industry experts and data enthusiasts about data, tech, AI and ethics. Connect with fellow attendees for sharing ideas and experiences in your respective field.
19 Sept.
17:00
30 min
Pullman Tbilisi Axis Towers
COFFEE BREAK
19 Sept.
Data Art & Design
17:30
1 hr 30 min
Design Small Stage
Cartography and data pubquiz
Auke Roos
Frans van der Vleuten
Co-founder of Atlasova
Co-founder of Atlasova
Are you a data enthusiast who loves countries, maps and flags? Think you’ve got what it takes to be crowned the ultimate data nerd? Join Atlasova’s (pub) quiz, where you can put your knowledge to the test! Whether you’re a seasoned data analyst or just someone who loves geography, this event promises a fun and competitive atmosphere with like-minded individuals. Grab your friends, showcase your skills, and see if you have what it takes to outsmart the competition and claim the title of data quiz champion!
19 Sept.
DataVoter
17:30
1 hr 30 min
Democracy Stage Talks (Main Stage)
Data-Driven Democracy: Forecasting, Content-creators, and Local Initiatives for Georgia's 2024 Elections
The special session invites multiple speakers to discuss the challenges and promises of the upcoming elections in Georgia. It kicks off with an exploration of whether data-driven election forecasting models, similar to those used in established democracies, can be adapted to Georgia.
Despite limited and sometimes flawed polling data, the session will examine geographic voting patterns to assess the feasibility of a "Georgian FiveThirtyEight" model, highlighting both the promise and pitfalls of predictive analysis in less stable electoral environments.
Additionally, supported by the Information Integrity Coalition, ISFED's executive director Nino Dolidze will share information about the upcoming Parliamentary Elections in Georgia. What are the expectations, fears and current challenges.
The session will also focus on the role of influencers in democracy, particularly how content creators are using social media to engage the younger generation and make voting more popular. This part of the session will showcase innovative strategies for reaching and mobilizing youth voters through digital content.
Finally, we will spotlight Georgia-born initiatives aimed at enhancing democratic engagement and transparency in the 2024 elections, providing a platform for local solutions to be recognized and scaled.
20 Sept.
10:30
1 hr
Pullman Tbilisi Axis Towers
WELCOME COFFEE & REGISTRATION
20 Sept.
11:30
30 min
Main Stage
OPENING REMARKS
20 Sept.
Analytics, Data Science & Gen AI
12:00
20 min
Main Stage
Is human cognition still the gold standard? Post-human AI and the changing role of human-AI comparisons
Eduard Saakashvili
Data Scientist at Intellerts
Historically, the question of humanlikeness was a key criterion for assessing the quality of AI systems: Can it think like a human being? Taking his recent thesis research as an entry point but expanding beyond it, this talk explores the persisting relevance of AI "humanlikeness" as a criterion distinct from performance. Eduard Saakashvili explores whether humanlikeness is empirically associated with model quality. He also asks whether the persistence of the human mind as a metaphor for machine cognition is helpful or harmful for the public understanding of AI models.
20 Sept.
Data for Human Rights & Equality
12:00
20 min
Storytelling Stage
Risks, vulnerabilities, and capacities: people-centred preparedness and Anticipatory Action
Guido Pizzini
Management Consultant
In this talk, Guido Pizzini will explore how integrating information management and data science enhances resilience against climate change. Guido will discuss disaster risk reduction, anticipatory action, and the role of localization in the aid sector. You'll learn how identifying vulnerabilities and implementing anticipatory measures can improve climate resilience and response. This session will provide insights into advanced strategies and tools for effective climate action and humanitarian preparedness.
20 Sept.
Analytics, Data Science & Gen AI
12:00
45 min
Meeting Room #1
Expense Management - Investment Analytics for Sports Marketing & Brand Finance
Mariam Kortava
Business Intelligence Analyst at EPAM
Mariam Kortava will present how data and analytics drive sustainable growth in sports marketing and brand finance through a case study of a leading global athletic apparel company. Learn how the company streamlined processes, improved decision-making with a self-service data solution, and maintained high data quality through effective governance. Explore methods for tracking marketing and brand finance expenses against budgets, making strategic investments, and evaluating the success of these approaches for enhanced efficiency and impact.
20 Sept.
DataVoter
12:00
1 hr 30 min
Meeting Room #2
Investigating Digital Elections
Amber Macintyre
Influence Industry Project at Tactical Tech
This hands-on workshop will explore tools to investigate the tools, tactics, and strategies used in election campaigns. The workshop will prepare journalists, students, and other researchers to use data to create transparency during ongoing election campaigns including how to monitor who is spending money on elections, trends in the content in misinformation, and private firms profiting from supporting political parties.