BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ĢƵ//NONSGML v1.0//EN NAME:Workshop “Theorizing Data and AI” METHOD:PUBLISH BEGIN:VEVENT DTSTART:20250514T090000 DTEND:20250516T170000 DTSTAMP:20250514T090000 UID:2025/workshop-theorizing-data-@8F96275E-9F55-4B3F-A143-836282E12573 CREATED:20250501T231830 LOCATION:KIN Center For Digital Innovation De Boelelaan 1105 Main Building Wing A, 5th Floor, Room 5A-99 1081 HV Amsterdam SUMMARY:Workshop “Theorizing Data and AI” X-ALT-DESC;FMTTYPE=text/html:
The third edition of Th eorizing Data and AI focuses on a shared understanding of data and AI and collaboration among scholars.
Theorizing Data and AI prov ides a platform to explore key developments in data and AI studies. T he third edition moves beyond the AI hype, aiming to build a collecti ve narrative and foster a collaborative scholarly community.
Fo r the first time, this edition includes a half-day session for PhD an d early-stage researchers to share work-in-progress papers and move f orward collectively (May 14th).
The two main days (May 15th &am p; 16th) will feature a diverse lineup of keynote speakers, panel dis cussions, and presentations, highlighting the latest research on emer ging AI and data studies trends.
This year’s keynote speakers are:
The event is designed to foster a collective narrative on data and AI, encouraging shared unde rstanding and collaboration among scholars.
Submit an abstract of up to 500 words showcasing a current research project or a paper i n progress that you would like to present. Include the names and deta ils of all authors, and by February 1st, 2025.
For further info please c ontact Cristina Alaimo and via theorizingai@gmail.com
DESCRIPTION: Theorizing Data and AI provides a platform to explore key developments in data and AI studies. The third edition moves beyond the AI hype, aiming to build a collective narrative and foster a coll aborative scholarly community. For the first time, this edition inclu des a half-day session for PhD and early-stage researchers to share w ork-in-progress papers and move forward collectively (May 14th). The two main days (May 15th & 16th) will feature a diverse lineup of keynote speakers, panel discussions, and presentations, highlighting the latest research on emerging AI and data studies trends. This year ’s keynote speakers are: