AI FOR CULTURE PRESERVATION & HISTORICAL HERITAGE

The cultural heritage sector is experiencing a digital revolution driven by the growing adoption of artificial intelligence and machine-learning algorithms. Despite the strong drive and need to explore and adopt AI tools to interrogate these fields, there are major associated challenges that need to be addressed. 

The AI for Culture Preservation & Historical Heritage Solutions track intends to facilitate the matchmaking of these ideas, challenges and AI solutions among the participating stakeholders. This track will accommodate AI and data science experts and academics, cultural heritage institutions coming from various countries, and experts with relevant practical use cases, all with the overarching goal of advancing the area of artificial intelligence for culture and historical heritage preservation.

Speakers, Panelists and Moderators

  • DAVAR ARDALAN
    DAVAR ARDALAN
    Founder and Storyteller; AI for Culture preservation Solution Track Co-Chair
    IVOW AI, Inc.
    Davar Ardalan is the Founder and Storyteller in Chief of IVOW, an early stage startup specializing in AI-driven cultural content, aiming to make navigating the global marketplace easier via cultural analysis. She is also the former Deputy Director of the White House Presidential Innovation Fellowship Program in Washington D.C. Prior to this, she was a public broadcasting journalist for two decades at NPR News, where she designed stories anchored in multiculturalism and steeped in historical context. In 2015, her last position at NPR was senior producer of the Identity and Culture Unit. Realizing that there is a gaping hole in AI algorithms that will define our future, she created IVOW, bringing together a team of journalists and technologists to design cultural IQ in AI. At NPR, as a Senior Producer of Weekend Edition and Morning Edition, Ardalan was responsible for editorial and production decisions that required elaborate coordination and planning, such as shaping Morning Edition broadcasts from Baghdad, Kabul and New Orleans. Ardalan has also served as Director of Storytelling at the open innovation agency SecondMuse. There, she helmed storytelling efforts for various campaigns, including NASA's International Space Apps Challenge and Australian Aid innovation programs in Timor-Leste, Tonga and Fiji. Ardalan, who has also served as Executive Producer at Hanson Robotics, has been recognized with a 2017 NASA Team Leadership award for Space Apps, a Gracie Award from the American Women in Radio and Television and a shout-out in the popular comic strip Zippy. In May 2014, she was the recipient of a United States Ellis Island Medal of Honor for individual achievement and for promoting cultural unity. Ardalan began her radio career as a reporter in 1991 at NPR Member Station KUNM in Albuquerque, NM. In 1984, she was an English news anchor at IRIB News broadcasting throughout the Persian Gulf Region.
  • MIGUEL RODRIGUES
    MIGUEL RODRIGUES
    Reader of Information Theory and Information Processing; AI for Culture preservation Solution Track Co-Chair
    University College London
    Reader of Information Theory and Information Processing with the Dept. of Electronic and Electrical Engineering at University College London. I was previously with the Dept. of Computer Science, University of Porto, Portugal, rising through the ranks from Assistant to Associate Professor, where I also led the Information Theory and Communications Research Group at Instituto de Telecomunicações – Porto. I obtained the undergraduate degree in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto, Portugal and the Ph.D. degree in Electronic and Electrical Engineering from University College London. I have then held postdoctoral positions both at Cambridge University and Princeton University. I have also held visiting research positions at Princeton University, Duke University and Cambridge University.
  • FRANCOIS GREY
    FRANCOIS GREY
    Director of the Geneva Tsinghua Initiative; AI for Culture preservation Solution Track Co-Chair
    University of Geneva
    I am a physicist with a background in nanotechnology, and a passion for citizen science. I also have broad experience in science management, teaching and communication, in the United States, China, Japan, Germany, Denmark and Switzerland. During the past decade, I have managed the development of a series of online citizen science projects in a wide range of research fields, starting with the launch of LHC@home in 2004 while I was a manager at CERN. In 2009, I established a partnership for citizen science between CERN, the UN Institute for Training and Research (UNITAR) and the University of Geneva, now called Citizen Cyberlab. As an invited professor at the Centre Universitaire d’Informatique (CUI) of the University of Geneva since 2014, I coordinate Citizen Cyberlab, managing the development of technologies for crowdsourced research, exploring the broader impact of citizen science for society, and promoting public participation in science through hands-on events. I also teach courses on Open Science and Citizen Science at the bachelor and master level. Since 2016 I am Director of the Geneva Tsinghua Initiative, a comprehensive education programme for the UN Sustainable Development Goals. From 2016-18 I was Director of Digital Strategy for the University of Geneva.
  • BURR SETTLES
    BURR SETTLES
    Head of Research & AI
    Duolingo
    Burr Settles is the Head of Research & AI at Duolingo, the world’s largest language-learning platform with the mission of making education free and accessible to all. In his role, Burr spearheads the AI strategy for Duolingo’s learning app and the Duolingo English Test. He is the author of Active Learning, the standard text on adaptive machine learning algorithms. His research has been published in Cognitive Science as well as major AI venues such as NuerIPS, ICML, and AAAI, and has been covered by The New York Times, Slate, Forbes, WIRED, and BBC. Previously, Burr was a postdoc at Carnegie Mellon and earned a PhD from UW-Madison.
  • WOLFGANG VICTOR YARLOTT
    WOLFGANG VICTOR YARLOTT
    AI Researcher
    Florida International University
    Wolfgang Victor Yarlott is a member of the Native American Crow tribe. Yarlott’s pioneering research took place with the Genesis Story Understanding System at MIT’s Computer Science and Artificial Intelligence Laboratory. In collaboration with his Professor Patrick Winston, Yarlott wanted to determine whether the system could understand stories from Crow folklore as well as it understood the works of Shakespeare. At first his “audience” was the program itself — he wanted to instill an understanding.
  • TRACY MONTEITH
    TRACY MONTEITH
    Senior Software Engineer
    Microsoft
    Experienced Senior Software Engineer with a demonstrated history of working in global computer software industry. Skilled in Scrum, Quality Assurance/Control, System Engineering, Strategic Planning, Business Development, Organizational Development, and Public Speaking.
  • ANTONY TAUBMAN
    ANTONY TAUBMAN
    Director, Intellectual Property, Government Procurement & Competition Division
    World Trade Organization (WTO)
    Research, postgraduate and general teaching, technical analysis and wider scholarship, policy support and capacity building, dispute settlement, public outreach, and international collaboration on intellectual property, trade and public international law. Management and administration in international and cross-cultural settings. Extensive experience in building conceptual, cultural and practical working links between distinct policy and legal domains. Firm commitment to strengthening and expanding positive links between jurisprudence, ethics, the theory and practice of international relations, the role and governance of multilateral institutions, and concrete public welfare benefits from practical program delivery.
  • CHAMISA EDMO
    CHAMISA EDMO
    Conversational AI Writer
    Chamisa is a citizen of the Navajo Nation, Blackfeet and Shoshone-Bannock and resides in Albuquerque, New Mexico. She holds a Bachelor of Arts in Indigenous and American Indian Studies, with an emphasis in Tribal Sovereignty, from Haskell Indian Nations University. She is currently working toward a Masters in Computer Science. She is a certified full stack developer and has worked on various web development and robotics projects in her post-baccalaureate career. Chamisa worked for Hanson Robotics as a conversational AI character writer for Sophia the Robot and at CNM Ingenuity as an Assistant Instructor for the Deep Dive Coding Fullstack Bootcamp. In addition to high tech projects, Chamisa is also interested in exploring how North American tribes and Indigenous populations around the world can leverage technology while exercising tribal sovereignty and self-determination.

Hourly Schedule

Segment 1 : Introducing the indigenous graph

9:00 - 9:15
Keynote
Speaker:
BURR SETTLES
9:15 - 9:45
Panel
Indigenous Knowledge and AI
Speakers:
DAVAR ARDALAN , BURR SETTLES , WOLFGANG VICTOR YARLOTT , TRACY MONTEITH , ANTONY TAUBMAN , CHAMISA EDMO
9:45 - 10:00
Lightning talk 1
Indigenous Graph, A Dataset Challenge to Strengthen AI Models
Speakers:
DAVAR ARDALAN , WOLFGANG VICTOR YARLOTT
10:00 - 10:15
Lightning talk 2
Indigenous Nations, Innovation, and Intellectual Property in the Era of AI
Speaker:
ANTONY TAUBMAN

Sagement 2

11:00 - 11:40
Panel
11:40 - 11:50
Use cases pitching 1
The Curious Case of Çatalhöyük
Speakers:
MIGUEL RODRIGUES , FRANCOIS GREY
11:50 - 12:00
Use cases pitching 2
INSIGHT-ART
Speakers:
MIGUEL RODRIGUES , FRANCOIS GREY
12:00 - 12:15
Audience Q&A
Speakers:
MIGUEL RODRIGUES , FRANCOIS GREY
BURR SETTLES
BURR SETTLES
Head of Research & AI
The cultural heritage sector is experiencing a digital revolution driven by the growing adoption of artificial intelligence and machine-learning algorithms. Despite the strong drive and need to explore and adopt AI tools to interrogate these fields, there are major associated challenges that need to be addressed.  The AI for Culture Preservation & Historical Heritage Solutions track intends to facilitate the matchmaking of these ideas, challenges and AI solutions among the participating stakeholders. This track will accommodate AI and data science experts and academics, cultural heritage institutions coming from various countries, and experts with relevant practical use cases, all with the overarching goal of advancing the area of artificial intelligence for culture and historical heritage preservation.
DAVAR ARDALAN
DAVAR ARDALAN
Founder and Storyteller; AI for Culture preservation Solution Track Co-Chair
The cultural heritage sector is experiencing a digital revolution driven by the growing adoption of artificial intelligence and machine-learning algorithms. Despite the strong drive and need to explore and adopt AI tools to interrogate these fields, there are major associated challenges that need to be addressed.  The AI for Culture Preservation & Historical Heritage Solutions track intends to facilitate the matchmaking of these ideas, challenges and AI solutions among the participating stakeholders. This track will accommodate AI and data science experts and academics, cultural heritage institutions coming from various countries, and experts with relevant practical use cases, all with the overarching goal of advancing the area of artificial intelligence for culture and historical heritage preservation.
WOLFGANG VICTOR YARLOTT
WOLFGANG VICTOR YARLOTT
AI Researcher
The cultural heritage sector is experiencing a digital revolution driven by the growing adoption of artificial intelligence and machine-learning algorithms. Despite the strong drive and need to explore and adopt AI tools to interrogate these fields, there are major associated challenges that need to be addressed.  The AI for Culture Preservation & Historical Heritage Solutions track intends to facilitate the matchmaking of these ideas, challenges and AI solutions among the participating stakeholders. This track will accommodate AI and data science experts and academics, cultural heritage institutions coming from various countries, and experts with relevant practical use cases, all with the overarching goal of advancing the area of artificial intelligence for culture and historical heritage preservation.
TRACY MONTEITH
TRACY MONTEITH
Senior Software Engineer
The cultural heritage sector is experiencing a digital revolution driven by the growing adoption of artificial intelligence and machine-learning algorithms. Despite the strong drive and need to explore and adopt AI tools to interrogate these fields, there are major associated challenges that need to be addressed.  The AI for Culture Preservation & Historical Heritage Solutions track intends to facilitate the matchmaking of these ideas, challenges and AI solutions among the participating stakeholders. This track will accommodate AI and data science experts and academics, cultural heritage institutions coming from various countries, and experts with relevant practical use cases, all with the overarching goal of advancing the area of artificial intelligence for culture and historical heritage preservation.
ANTONY TAUBMAN
ANTONY TAUBMAN
Director, Intellectual Property, Government Procurement & Competition Division
The cultural heritage sector is experiencing a digital revolution driven by the growing adoption of artificial intelligence and machine-learning algorithms. Despite the strong drive and need to explore and adopt AI tools to interrogate these fields, there are major associated challenges that need to be addressed.  The AI for Culture Preservation & Historical Heritage Solutions track intends to facilitate the matchmaking of these ideas, challenges and AI solutions among the participating stakeholders. This track will accommodate AI and data science experts and academics, cultural heritage institutions coming from various countries, and experts with relevant practical use cases, all with the overarching goal of advancing the area of artificial intelligence for culture and historical heritage preservation.
CHAMISA EDMO
CHAMISA EDMO
Conversational AI Writer
The cultural heritage sector is experiencing a digital revolution driven by the growing adoption of artificial intelligence and machine-learning algorithms. Despite the strong drive and need to explore and adopt AI tools to interrogate these fields, there are major associated challenges that need to be addressed.  The AI for Culture Preservation & Historical Heritage Solutions track intends to facilitate the matchmaking of these ideas, challenges and AI solutions among the participating stakeholders. This track will accommodate AI and data science experts and academics, cultural heritage institutions coming from various countries, and experts with relevant practical use cases, all with the overarching goal of advancing the area of artificial intelligence for culture and historical heritage preservation.
MIGUEL RODRIGUES
MIGUEL RODRIGUES
Reader of Information Theory and Information Processing; AI for Culture preservation Solution Track Co-Chair
The cultural heritage sector is experiencing a digital revolution driven by the growing adoption of artificial intelligence and machine-learning algorithms. Despite the strong drive and need to explore and adopt AI tools to interrogate these fields, there are major associated challenges that need to be addressed.  The AI for Culture Preservation & Historical Heritage Solutions track intends to facilitate the matchmaking of these ideas, challenges and AI solutions among the participating stakeholders. This track will accommodate AI and data science experts and academics, cultural heritage institutions coming from various countries, and experts with relevant practical use cases, all with the overarching goal of advancing the area of artificial intelligence for culture and historical heritage preservation.
FRANCOIS GREY
FRANCOIS GREY
Director of the Geneva Tsinghua Initiative; AI for Culture preservation Solution Track Co-Chair
The cultural heritage sector is experiencing a digital revolution driven by the growing adoption of artificial intelligence and machine-learning algorithms. Despite the strong drive and need to explore and adopt AI tools to interrogate these fields, there are major associated challenges that need to be addressed.  The AI for Culture Preservation & Historical Heritage Solutions track intends to facilitate the matchmaking of these ideas, challenges and AI solutions among the participating stakeholders. This track will accommodate AI and data science experts and academics, cultural heritage institutions coming from various countries, and experts with relevant practical use cases, all with the overarching goal of advancing the area of artificial intelligence for culture and historical heritage preservation.

Date

23 Sep 2020

Time

09:00 - 12:15
Room 2

Location

Room 2
Level 0, CICG
Sessions

Topics

Culture