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Association for Computing Machinery

Magazine: Winter 2016 | Volume 23, No. 2

The forgotten promise of technology

The future of work

When should you quit your Ph.D.?

UC Irvine WICS blazing trails for women in CS

Finding your MAP for career choices

Milestones in labor automation

Don't replace people. Augment them.

SECTION: Feature: Augmenting people

Don't replace people. Augment them.

If we let machines put us out of work, it will be because of a failure of imagination and the will to make a better future!

By Tim O'Reilly

HTML | In the Digital Library
Tags: Automation, Employment issues, Project and people management, Robotic autonomy

Hybrid workplaces of the future

The future of microwork

The future of microwork

What happens when we algorithmically break complex productivity tasks down into microtasks? At Microsoft Research, the author and her team are accelerating a shift toward microproductivity to make it easy for people to get big things done one small step at a time.

By Jaime Teevan

HTML | In the Digital Library
Tags: Collaborative and social computing systems and tools, Computer supported cooperative work, Document management and text processing

The context of on-demand work

SECTION: Feature: On demand labor

The context of on-demand work

Two years of ethnographic fieldwork, in the U.S. and India, together with rich quantitative data, shine light on the world of on-demand work invisible to many of us, yet core to the functioning of the Internet and the future of automation.

By Niloufar Salehi

HTML | In the Digital Library
Tags: Crowdsourcing, Employment issues, Ethnographic studies, Field studies

The hidden faces of automation

The hidden faces of automation

As we dream of automation, we always need people to calibrate and train what we automate. Automation has hidden human faces.

By Lilly Irani

HTML | In the Digital Library
Tags: Automation, Codes of ethics, Crowdsourcing, Employment issues

The gig economy

The gig economy

Gig jobs have become a structural aspect of contemporary economic landscape, creating unique social and technological challenges. How can policies and design solutions better protect gig workers and mitigate the risks participants face?

By Paolo Parigi, Xiao Ma

HTML | In the Digital Library
Tags: Codes of ethics, Employment issues

Algorithmic bosses, robotic colleagues

SECTION: Feature: Designing the workplace of the future

Algorithmic bosses, robotic colleagues

We already know algorithms can make our lives and our work more efficient, but how can we go beyond that to create trustworthy, fair, and enjoyable workplaces in which workers can find meaning and continuously learn?

By Min Kyung Lee

HTML | In the Digital Library
Tags: Automation, Employment issues, Pattern matching, Project and people management, Robotic autonomy

The art and design of autonomous machines

The art and design of autonomous machines

Dr. Raffaello D'Andrea speaks at length about what it takes to build commercially viable robotic systems, the future of autonomous machines, the role humans will play in this future, and how we can best prepare for it.

By Nidhi Rastogi, Adrian Scoică

HTML | In the Digital Library
Tags: Automation, Avionics, Machine learning algorithms, Robotic autonomy

Building a brighter future for crowd work

Building a brighter future for crowd work

Skill ladders may help crowd workers to "skill up" as they work. But what other technical innovations will lead to better opportunities for crowd work?

By Jeff Bigham, Kristin Williams

HTML | In the Digital Library
Tags: Artificial intelligence, Employment issues, Project and people management

Where are the flying cars?

Where are the flying cars?

Will the digital revolution actually transform the process of innovation? A professor from NYU spent three years with NASA's engineers and scientists to uncover the significant opportunities and challenges involved with new models for R&D work.

By Hila Lifshitz-Assaf

HTML | In the Digital Library
Tags: Collaborative and social computing systems and tools, Computer supported cooperative work, Operations research

Manuel Grenacher

Advanced Interactive Technologies Lab

Limber employment

Visualizing high-dimensional data