Do you share LinkedIn's vision of creating economic opportunity for every member of the global workforce?
We're launching the LinkedIn Economic Graph Research program to encourage researchers, academics, and data-driven thinkers to propose how they would use data from LinkedIn to generate insights that may ultimately lead to new economic opportunities.
What research or analysis would you propose that has the potential to create economic opportunity using Economic Graph data?
As of June 15, 2017 the Economic Graph Research program call for proposals has closed. Thank you to all of the the researchers who have submitted their ideas.
Over the next several weeks, we will be reviewing research proposals to identify those that best meet the criteria listed below. If you have submitted a proposal, you or one of your colleagues will be contacted by a LinkedIn representative near the start of the upcoming U.S. academic year (sometime in August).
QUESTIONS ABOUT RESEARCH USING ECONOMIC GRAPH DATA?
If you have other questions about using Economic Graph data for research projects that fall outside of the scope of this program, if you would like updates about the EGR program, or if you would like to be notified about the next EGR call for proposals, you may contact the team at EconomicGraphResearchProposal@linkedin.com.
Economic Graph Research Submissions Requirements
What are the basic requirements to submit a proposal to the Economic Graph Research program?:
- To participate you must be 18 years of age.
- Teams of up to 5 individual participants are permitted.
- Proposals should be on behalf of universities, think tanks, non-governmental organizations or other non-profit entities. Proposals on behalf of for-profit organizations and governments will not be considered.
- Proposals must be submitted using the form provided by LinkedIn.
Areas and topics
Analytics is the discovery, interpretation, and communication of actionable insights from big data. At LinkedIn, our mission is to drive understanding and impactful decision-making through rigorous use of data. Our analytics is deeply tied to core modules of our ecosystem, including product, marketing, and sales, to name a few. We are looking for research proposals that leverage big data analytics and data science to understand relationships in the economic graph, preferably in the following areas:
Relationship between Career success and access to relationships;
Occupation skill set trends & predictions and how to get them;
Talent supplies and demand gap globally and/or by geo/country/industry;
Relationship between economics and professional mobility/talent migration.
LinkedIn aims to be the go-to source for economic research that creates opportunity for every potential member of the global workforce. Within the Economic Graph Research umbrella, we are interested in rigorously investigating economic and labor market phenomena.
Topics of interest include but are not limited to human capital, career pathways, and productivity growth
We are interested in a variety of artificial intelligence problems at LinkedIn. They are the fundamental building blocks to drive search, discovery and recommendation across the LinkedIn ecosystem. We are looking for research proposals in this broad context, with preferences given to the following areas:
Large-scale machine learning, including large-scale methods for massive graphs/networks, fast online computations of models, deep learning of knowledge graphs, etc
Personalized machine learning, such as content recommendation for each member, job recommendations for each job seeker, member intention modeling, etc
Reinforcement learning, such as developing conversational interfaces, real-time exploration/exploitation, etc
Crowdsourcing for social networks, for social applications that are highly personalized (feed ranking, link recommendation, etc)
Causal inference, for root-cause analysis and real-time problem triaging
Mining semi-structured & unstructured data, for member information standardization, content understanding and recommendation, etc
Mining time-series & spatial data, for trend analysis, member life-cycle modeling, etc
Security & privacy in machine learning, such as detecting and removing fake accounts, preventing member data breach, etc
What is the Economic Graph?
LinkedIn’s vision is to create economic opportunity for every member of the global workforce. We will achieve this through the creation of the Economic Graph, a digital mapping of the global economy, which will provide all the necessary elements to connect talent with opportunity at massive scale.
What is the Economic Graph Research program?
The Economic Graph Research Program is an initiative in which LinkedIn works with academic researchers to conduct research that relates to creating economic opportunity for members of the global workforce and helping them be more productive and successful.
Together, we believe we can effectively remove barriers to economic growth and create opportunity for every member of the global workforce.
What’s the history of the Economic Graph Research Program?
Two years ago, we launched an ambitious project called the Economic Graph Challenge (EGC). The idea was simple: There are approximately 3 billion people in the global workforce, and LinkedIn's vision is to create economic opportunity for every one of them. By mapping economic relationships and developing the world's first Economic Graph, we can make that vision a reality.
We asked ourselves a question: How might LinkedIn’s vast dataset be used to help researchers develop studies that have the potential to create greater economic opportunity?
Early on, we found that working with outside researchers has helped us better understand the impact that LinkedIn’s data can have when it comes to describing the world economy. These perspectives help us build better member experiences and give others new insights into the world around them.
In April 2017, we launched the LinkedIn Economic Graph Research program to encourage researchers, academics and data-driven thinkers to solve some of the most challenging economic problems of our times.
How many teams of researchers are involved in the Economic Graph Research Program?
The “Economic Graph Challenge” on-boarded a total of 11 teams. One team from the original EGC group has had their contract extended to continue their research, while the other teams no longer have access. Currently, we are in process of negotiating with a second round of teams to join the program.
What is the selection process for including new research teams in the Economic Graph Research program?
Researchers must submit a proposal that is vetted by LinkedIn’s legal and security teams for privacy and security concerns before their proposal is selected. When a researcher is selected, either their organization (generally a university) or in some cases the individual themselves must enter into an agreement with LinkedIn. EGR teams are limited to a total of 5 team members. As of June 15, 2017 the Economic Graph Research (EGR) program call for proposals has closed.
What is the timeline for the selection process?
LinkedIn’s EGR team will review submitted proposals and notify selected proposals within 3 months of the end of the submission period.
We might ask for supplemental materials such as an endorsement letter from the higher-level management of the organization
Proposals will be evaluated on a combination of three factors:
Novelty: the thoughtfulness and originality of the entry, including its unique approach to taking advantage of data from the Economic Graph.
Impact: the potential benefits to the region, country and the world, as well as the extensibility of the proposal.
Feasibility: the practicality of the submission, measuring the likelihood it can be researched and implemented within a reasonable time period and the types of data from LinkedIn that will be necessary for the proposed research.
Before your final selection, your organization will be required to enter into a contract with LinkedIn that covers your access and use of data from LinkedIn, confidentiality, and intellectual property. We will provide you with a copy of this agreement before final acceptance our your proposal into the LinkedIn Economic Graph Research program.
If you are selected, how will research be conducted?
If you are selected to participate, you or your teammates must be willing to learn basic big data languages and tools (e.g. Hadoop, Pig/Hive, Spark, Scala) in order to gain access to data from LinkedIn. It is better if you already have these skills when you submit your proposal.
The team will have monthly review meeting with EGR committee to share updates and results, allowing for better chance of success.
At the end of research period, the team has a chance to visit LinkedIn headquarters campus to present the research work.
Your access to data from LinkedIn will be limited. You will only be able to access data from LinkedIn for the purposes of conducting your proposed research. The data from LinkedIn will be made available in a separate, secure “sandbox” environment on LinkedIn hardware.
Acquire sensitive member data, like payment information, InMails, etc.
Publish or otherwise publicly share data without the written consent of LinkedIn
Obtain or retain data beyond the scope of the research project
Experiment or perform tests on our members
- LinkedIn will provide a mentor will work with the participants to ensure the research proceeds smoothly, provide guidance on the proposals, and serve as a liaison to internal LinkedIn teams as needed.
- Each research recipient will work with LinkedIn privacy and security teams to ensure appropriate data access.
- Any data provided to research recipients will only be made available through a monitored environment, on a secure network, with the approval of LinkedIn. Participants will not be able to manipulate data, download data or access data outside of this environment except in highly aggregated form.
- Each proposal will be reviewed by LinkedIn for compliance with the company’s ethical research guidelines and standards of quality.
All research will be reviewed by LinkedIn’s internal review board prior to publication.
LinkedIn reserves the right to refuse access to any data due to privacy concerns at any point during the research project. Certain data may only be provided in aggregate form. Proposals that only require aggregate data or public member data from LinkedIn (such as public profile information) will have a greater likelihood of being selected.