Big Data and Open data: as tools for empowering people

With limited transparency, governments tend to become less accessible to the public. While data science remains as a dominating market in almost all day-to-day life industries, its possibilities in administration and governance are yet to be exploited. In this presentation, I address how emerging concepts such as open data and big data can be used to strengthen democracies and help governments serve the public better. We will explore the various possible ways big data and open data can be used to bridge income inequalities and implement proper resource and service allocation. We will also be looking at different initiative taken by individuals and communities and see the impact those initiatives have had on aiding governance. We will also emphasize the concept of open governance and government open data.

 
7 favorite thumb_down thumb_up 4 comments visibility_off  Remove from Watchlist visibility  Add to Watchlist
 

Outline/Structure of the Talk

  • What is open data?
  • How big data and open data influence decisions on a day-to-day basis?
  • Discuss examples of how open-data based innovation has helped better governance
  • Data and Administration
  • The principle of open governments
  • Challenges to open governance and efficient data-based administration

Learning Outcome

  • Get introduced to the concept of Open Data and Big Data
  • Learn the significance of Open Data and Big Data
  • Appreciate the concept of open governance
  • Learn about the present challenges to open governance.

Target Audience

Anyone can attend

schedule Submitted 1 year ago

Public Feedback

comment Suggest improvements to the Speaker
  • Vishal Gokhale
    By Vishal Gokhale  ~  11 months ago
    reply Reply

    Thanks for the proposal,  Hariraj ! :-)

    Would you also cover any specific data science tools / techniques that are essential to open governance?
    I understand that the talk focuses on data science as a tool to solve governance problems, however from the audience's perspective the picture will be complete when they can see the
    1. tools/techniques/skills required to solve governance issues. 
    2. the scale of operations of each problem (this again will decide the tech)

    Please share your thoughts.

    • Hariraj K
      By Hariraj K  ~  11 months ago
      reply Reply

      I really appreciate your feedback. I have updated my proposal.  

      • Prachi Saraph
        By Prachi Saraph  ~  11 months ago
        reply Reply

        Hi Hariraj, 

        This seems to be a very interesting topic. However, as VIshal pointed out, please comment on tools and techniques and ways of fetching the data to solve the problem.  You don't necessarily have to include it in your abstract, please provide it for understanding of reviewers.

        • Hariraj K
          By Hariraj K  ~  11 months ago
          reply Reply

          I intend to discuss about The Tandale open map project and explain how open data can be used alongside visualization platforms such as maps can help in allocating resources. I would also like to discuss, other aspects such as open knowledge empower developers to help in bettering society by citing different government and nongoverment initiatives throughout the world. I also plan on providing insights on current problems we face towards openness and explain how tools such as NLP and data-imputation could provide a solution for solving these problems


  • Liked Venkatraman J
    keyboard_arrow_down

    Venkatraman J - Detection and Classification of Fake news using Convolutional Neural networks

    Venkatraman J
    Venkatraman J
    Sr. Software engineer
    Metapack
    schedule 1 year ago
    Sold Out!
    20 Mins
    Talk
    Intermediate

    The proliferation of fake news or rumours in traditional news media sites, social media, feeds, and blogs have made it extremely difficult and challenging to trust any news in day to day life. There are wide implications of false information on both individuals and society. Even though humans can identify and classify fake news through heuristics, common sense and analysis there is a huge demand for an automated computational approach to achieve scalability and reliability. This talk explains how Neural probabilistic models using deep learning techniques are used to classify and detect fake news.

    This talk will start with an introduction to Deep learning, Tensor flow(Google's Deep learning framework), Dense vectors (word2vec model) feature extraction, data preprocessing techniques, feature selection, PCA and move on to explain how a scalable machine learning architecture for fake news detection can be built.

  • Liked Hariraj K
    keyboard_arrow_down

    Hariraj K - Importing and cleaning data with R

    Hariraj K
    Hariraj K
    Co-Founder
    knitLabs
    schedule 1 year ago
    Sold Out!
    45 Mins
    Workshop
    Intermediate

    We are experiencing a tremendous explosion in big data. A significant share of this data is unfit for direct analysis or machine learning. This presentation emphasizes on web scraping with powerful R packages such as httr and tools like XPath.This session will also introduce the principles of data cleaning. By the end of the session, you will be able to import raw data from most websites and transform them into proper robust datasets. In the due course of this session, we would build a robust dataset by implementing the above concepts ready for analysis

  • Liked Akshay Balakrishnan
    keyboard_arrow_down

    Akshay Balakrishnan - Does Blockchain have any application in the field of Machine Learning?

    20 Mins
    Talk
    Beginner

    Blockchain is one of the most hyped as well as the most misunderstood technologies to come out in recent years. What has caused this sudden surge in interest is the massive success of cryptocurrencies like Bitcoin which is a genuine alternative to the banking system we have known for so long. The success of cryptocurrencies has more to do with the economic aspect of currencies rather than the blockchain itself. Yet, that has not stopped enthusiasts from applying the concept of blockchain to many other fields, including Machine Learning. This keynote speech intends to give a brief overview of what has been done to this regard, and whether blockchain actually has much practical relevance in the field of Machine Learning.

  • Liked Hariraj K
    keyboard_arrow_down

    Hariraj K - Reccomendation engine: Theory and mathematical implementation

    Hariraj K
    Hariraj K
    Co-Founder
    knitLabs
    schedule 11 months ago
    Sold Out!
    10 Mins
    Talk
    Beginner

    From our Tinder matches to movies we watch on Netflix, we tend to encounter recommendation engines on a day to day basis and with the data explosion in place, the number of recommendation engines at play would increase dramatically. In this talk, we look into the underlying principles of recommendation engines. You will learn about the main types of recommendation engine approaches. By the end of this session, you will have ideas on how each of this approaches can be implemented. You will also be able to understand the pros and cons of both these approaches.