#aic2016 Schedule

NOTE: We will start at the listed times, NOT "Berkeley time" (10 minutes late)!



Thursday, December 1

Location: The Berkeley Institute of Data Science (BIDS), 190 Doe Library

9:00 Breakfast and Opening Remarks

9:30 Surveillance, Profiling, and (In)Justice
Session Chair: Massimo Mazzotti

Losing and Reclaiming the Body in Predictive Criminal Justice
by Emily Paul, University of California, Berkeley

State of Urgency: The Implications of Protocol, Procedure, and Data Visualizations in Police Software
by Kyle Kubler, University of Washington

Algorithms in Practice: Comparing Journalism and Criminal Justice
by Angele Christin, Stanford University

10:45
Break

11:00 Platforms and Infrastructures
Session Chair: Shreeharsh Kelkar

Algorhythmic Governance: Regulating the ‘heartbeat’ of a city using the Internet of Things
by Claudio Coletta and Rob Kitchin, Maynooth University, Ireland

From Soil to Bombs: An Unbounded History of Twentieth Century Algorithmic Culture
by Theodora Dryer, University of California, San Diego

From Citizen to User: Algorithms and Post-Social Public Space
by Marcus Owens, University of California, Berkeley

Thinking Algorithmically: From Cold War Computer Science to the Socialist Information Culture
by Ksenia Tatarchenko, University of Geneva

12:30 Lunch at BIDS

1:30Institutional Entanglements
Session Chair: Jenna Burrell

JPEG Decompressed: The Image Codec as an Object of Historical and Cultural Analysis
by Rachel Bergmann, McGill University

The Algorithm Revised: An Analysis of Algorithmic ‘Isomorphism,' Facebook, and the News Media Industry
by Robyn Caplan and danah boyd, Data & Society

Algorithms as Agents of Gatekeeping, Governance, and Articulation Work in Wikipedia
by Stuart Geiger, Berkeley Institute of Data Science

Algorithms versus Actuaries: The Life Extension Institute and Predictive Modeling in Insurance
by Tamara Kneese, Consortium for History of Science, Technology, & Medicine

3:15Break
 
3:30 Keynote: Helen Nissenbaum
Values in Algorithms: Then and Now

When cultural meanings accrue to technical terms, as has occurred with algorithm, etymological curiosity is not the only reason to pay close heed. On the one hand, these meanings help to overcome terminological variance that may obscure linkages between the present and past; yet, on the other, they may obscure key differences, including many that affect ethical and political values, such as accountability, bias, and governability. Learning from prior work, instead of reinventing past accomplishments, allows us to advance more effectively into unchartered intellectual territory and newfangled societal quandaries. This talk gives me the chance to reflect on relevant convergences as well as exciting discontinuities.

Helen Nissenbaum is Professor of Media, Culture and Communication, and of Computer Science, at New York University. She is also Director of the Information Law Institute at NYU's Law School. Nissenbaum's examinations of values in algorithms and computer systems have become foundational works in algorithm studies. She co-organized the Algorithms and Accountability Conference in February 2015 and served on the Program Committee for the Conference on Governing Algorithms in May 2013.

5:00Conference Adjourns for the Day

6:00Authors' Dinner



Friday, December 2

Location: The Center for Science, Technology, Medicine & Society (CSTMS), 470 Stephens Hall
Friday "Algorithmic Labor" session: https://www.youtube.com/watch?v=zHm6XjzUgIk

Due to technical difficulties, we do not have recordings of the other two sessions on Friday. Apologies!


9:00 Breakfast and Opening Remarks 

9:30 Algorithmic Labor
Session Chair: Gretchen Gano

Seeing Like An Algorithm: Machine Learning and the New Division of Apperceptive Labor
by Thomas Gilbert, University of California, Berkeley

Understanding Perception of Algorithmic Decisions: The Case of Algorithmic Management
by Min Kyung Lee, Carnegie Mellon University

Small Acts Alongside Big Data: Counting and Computing Within Ubering
by Noopur Raval, University of California, Irvine

10:45Break
 
11:00Modeling Systems
Session Chair: Jason Oakes

The Algorithmers: Notes from the Field
by Charlotte Cabasse Mazel, Berkeley Institute of Data Science

How Geologies Count: Algorithmic Calculation and the Politics of Life on Shaky Ground
by Beth Reddy, Bucknell University

Correlation, Causal Mechanisms, and Explanation: Making Sense of Big Data through Complexity Science
by Guilherne Sanches de Oliviera, University of Cinncinnati

Algorithms as Culture: Some Tactics for the Ethnography of Algorithmic Systems
by Nick Seaver, Tufts University

12:30 Lunch at CSTMS

1:30 Fictions, Fetishes, and Futures
Session Chair: Morgan G. Ames

Toward Human-Centered Algorithm Design
by Eric Baumer, Cornell University

The Emotional Politics of Algorithms
by Luke Stark, Dartmouth College

Algorithms as Fetish
by Suzanne Thomas, Dawn Nafus, and Jamie Sherman, Intel Labs

Performing Algorithms: TED Talks and Public Understandings of (Computer) Science
by Richmond Wong, University of California, Berkeley and Lauren Kilgour, Cornell University

3:15 Closing Remarks

3:30

Authors' Breakout Sessions (closed to public)

5:30Conference Adjourns

6:00Authors' Dinner