Future Data Generation

We believe that education is the future. It is for this reason that we are committed to sharing our knowledge and expertise with the next generation. Our vast global academic program extends to offering our technology for data-driven social impact research, as well as specially tailored workshops, internships and special programs, aimed at sharing our extensive knowledge and expertise in the data domain.

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Partnering with over 300
academic institutions worldwide

Expert-led workshops

Our data-driven workshops are specially tailored to each individual university and institute. They provide a fascinating, extensive introduction into the world of online data and online data collection, with a deep focus on ethical guidelines and considerations. The workshops are hands-on, with practical tips and real-life case studies, and have been met with great enthusiasm from students.

Internships & special programs

In addition to our expert-led workshops and masterclasses, we also offer a variety of special programs and internships for various academic institutions worldwide, focused on the data domain

Internships

Our internship program enables students to gain a unique insight into the web data domain.

Our specially developed data courses (for credit) offer students a more extensive understanding of web data.

We have taken part in a number of technology related education festivals, sharing our web data knowledge.

We have been involved in special educational programs, demonstrating the power of web data

Data-driven
research

Data-driven research is at the forefront of human advancement. We have collaborated with leading academic institutions worldwide to offer our technology for critical, data-driven research, supporting 31 academic research projects to date. Below you can read about some of them.

Princeton University

No WAN’s Land: Mapping U.S. Broadband Coverage with Millions of Address Queries to ISPs

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UC San Diego

Quantifying Nations’ Exposure to Traffic Observation and Selective Tampering

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SciencesPo

Identifying Discrimination on Online Platforms

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Royal Holloway University

Rethinking the a in FAIR Data: Issues of Data Access and Accessibility in Research

What our partners are saying

If it weren’t for The Bright Initiative, I would have never done this project or at least of this scale. I would have had to collect all this information by hand, which is completely impractical. However, I’ve got the public web data now, and when my research is complete, it will be able to paint a pretty representative picture of the competitiveness of the US real estate market for everyone and anyone who is interested – benefiting consumers in the long-run and holding brokerage firms accountable to keeping the market competitive.

Jason Beck, Academic Economist, Georgia Southern University

The density of information that we can reveal through Bright Data’s platform, thanks to The Bright Initiative, is much bigger than the density of information that we can reveal from the alternatives. And so, it is really qualitatively and quantitatively a big jump in terms of how much visibility we gain for our research.

Alexander Gamero-Garrido Ph.D

I’d like to thank you for the session on ethical considerations surrounding bots and data. It challenged me to be inquisitive about the data sector and help me bridge my understanding of the social sciences.

Student at Manchester Metropolitan University

It’s great to see how valuable Associates found the session and how useful it was in introducing them to and educating them on the subject! Thanks so much again for your involvement and your commitment to supporting our Associates.

Minna Gabbertas, Technology Partnerships Manager, upReach

A pleasure to have worked with The Bright Initiative and Microsoft, educating King’s future tech and data professionals on the ethics of data and automation at King’s Careers & Employability

Ardy Cheung, Employer Relations Adviser, King’s College

Our experience with The Bright Initiative has been excellent. With full documentation and technical support, we’re able to conduct our research on cyberattacks and contribute to the community in regards to privacy and security.

Hiroaki Kikuchi, Ph.D. on behalf of Meiji University

I really found the recent session engaging and I learnt more than I hoped!

upReach Associate

The recent webinar was an excellent introduction to the field of data collection and our students really enjoyed it. It would be great to dive even deeper next time and get a more technical view on things and see more examples of use cases etc.

Prof. Hugh Shanahan on behalf of Royal Holloway and Oxford University

I think the recent session was highly informative; learning about what bots are and the ethical issues surrounding them.

upReach Associate

I took part in the King’s College London’s Internships Insights Programme for 2021. This Business Opportunity Accelerator project connected me to five excellent KCL students to work as Business Consultants for Bright Data as part of The Bright Initiative. We performed market research analysis & delivered a comprehensive report showcasing strategies for new sector growth for the company. I’d like to thank The Bright Initiative by Bright Data for the helpful feedback & continuous support throughout the project.

Conor McLoughlin – Ph.D. Candidate at King’s College London

Recent blog posts

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Recent news

29-Sep-2021

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21-May-2021

Yahoo News

Bright Data to Help UK Students Develop Data Skills Through Partnership With Leading Charity upReach

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Recent blog posts

About our workshops

Some recent examples include our extensive partnership with King’s College London, holding joint seminars exploring present and future data-led opportunities, as well as internships and events for students. We also work closely with upReach, a UK organization that supports undergrad students from less advantaged backgrounds, holding workshops with more than 70 universities across the nation to help students build data skills and foster career success.

We also support research at universities such as Princeton, Oxford, and ETH Zurich.

Future Data Generation