Screen Reader Mode Icon

Tell us more about your experience with crowdsourcing and help shape a new project design

The Library of Congress (LC) Labs is recruiting participants to inform and test a new, experimental crowdsourcing prototype.

We are partnering with AVP to conduct remote interviews with people who already volunteer in crowdsourcing projects. We expect that these approximately 45 minute long interviews will be hosted via Zoom. In return, participants will have the option of a behind-the-scenes talk with LC Labs.

Learn more about the project below. If you are interested in participating, please share your name and details below. Project staff will reach out to schedule an interview with you directly, if selected.

Sign up below to participate!
Project Background

At LC Labs, we are imagining new ways to combine crowdsourcing with machine learning methods to improve description of and access to Library of Congress collections and data. Our overall goal is to dramatically and efficiently enhance access to the Library’s rich and varied collections in ways that are ethical, useful, and engaging.

Recently, we've conducted separate experiments in crowdsourcing and machine learning methods, only to discover interesting challenges. Crowdsourcing efforts may not meet needs to enrich collections data at scale; at the same time, machine learning models usually need significant amounts of training to achieve acceptable measures of accuracy. What if we designed ethical, engaging, and educational crowdsourcing tasks to create useful training data for machine learning methods? Blending these approaches could potentially enable people to improve machine learning processes at scale and learn about machine learning at the same time.

With that challenge in mind, we are prototyping a website and workflow that features select digitized Yellow Pages from our extensive U.S. Telephone Directory collection. We would appreciate your help in our next steps!
Contact information

If you are selected to participate, we will need to get in touch with you! In this section, we are asking for your name and e-mail address. We will not share your contact information with anyone without your consent. We will not use your information for any other purpose than to contact you or to credit you if you wish to be acknowledged for your role in this research.

Question Title

* 1. First and Last Name

Question Title

* 2. E-mail address

Question Title

* 3. Have you previously participated in crowdsourcing projects either through Library of Congress or other institutions?

Question Title

* 4. If you responded yes to the above, please provide a brief description of those projects:

Question Title

* 5. Are you comfortable with your interview session being recorded for internal project purposes? 

Recordings will not be shared publicly and your response to this question will not impact your eligibility to participate in our study

Question Title

* 6. May we list your name in public acknowledgements for the project? 

Your response to this question will not impact your eligibility to participate in our study

Question Title

* 7. Would you like to be connected with project staff members to learn more about their work? 

Your response to this question will not impact your eligibility to participate in our study

Privacy Policy

Protecting your personal information is important! Personal information you share through this form will not be retained or maintained any longer than is necessary to support current project goals. We will not use your personal information for any other purpose than to contact you or to credit you if you wish to be acknowledged for your role in this research.

For more information please visit the Library of Congress full privacy policies: https://www.loc.gov/legal and the full privacy policies for AVP: https://www.weareavp.com/privacy-policy/.

0 of 7 answered
 

T