Data People & Society Overview

2024-01-07 14:44 UTC gpt-4 Open in ChatGPT ↗

based on the schedule below can you give me a short description/introduction of the Bachelor’s course Data People and Society? Aim for around 150 words

Data People & Society BSc Schedule Week 1: Introduction to Data, People, and Society Overview of the course objectives and structure. Introduction to the ethical considerations in data collection and usage. Discussion on the impact of data abstraction on individuals and marginalised groups. Example Case Study: The Cambridge Analytica Scandal Explore how the unauthorised use of Facebook data impacted individuals and influenced political outcomes, highlighting the ethical implications of data collection. OPTION 1: Exercise: Data Privacy Simulation Students will participate in a simulation where they collect and share personal information. Discuss the implications of sharing such data and relate it to real-world scenarios. Simulate a controlled social media network, play with connectivity, how to reach friends of friends (networkX) Each student has a role with background information and interests Students interact and share their information via posts for a defined period of time Reveal how this shared info are collected for analysis and how they can be used to infer personal details, habits and preferences Discussion OPTION_2: Activity: Cambridge Analytica Break Down Divide students into groups. Each group reviews a different aspect of the Cambridge Analytica case, focusing on ethical issues in data collection and usage. Groups present their findings and discuss. Week 2: Bias in Data and Algorithmic Fairness Exploration of biases in data and algorithms. Understanding how biassed algorithms can perpetuate or exacerbate social inequalities. Discussion on Algorithmic Fairness and its role in addressing bias. Example Case Study: Predictive Policing and Racial Bias Analyse cases where predictive policing algorithms have exhibited racial bias, leading to discriminatory outcomes and raising questions about fairness in law enforcement. Exercise: Analysing Bias in Data Analyse a set of data provided in class for potential biases. This could be a dataset used in real-world predictive policing, loan approval, or job application screening. Discuss how these biases can affect the outcomes of algorithms. Week 3: Privacy, Security, and Digital Rights Examination of privacy challenges in the digital age. Techniques for preserving privacy in data-driven applications. Exploration of digital rights and their intersection with data. Note to self: Julian Oliver / clothes that make you invisible to AI / Fango Example Case Study: GDPR and Online Privacy Discuss the implementation, impact and effectiveness of the General Data Protection Regulation (GDPR) in Europe as a case study for privacy regulations and protection of digital rights. OPTION 1: Activity: GDPR Compliance Workshop Students will work on a hypothetical scenario to ensure GDPR compliance. This could include identifying data subjects, creating privacy policies, and implementing security measures. Group discussion on the implications of GDPR, analysing its strengths and weaknesses. Students could role-play as different stakeholders (consumers, businesses, regulators). OPTION 2: Exercise: How easy is it to get hacked? Data Breach VS Data Sharing Controlled demonstration of a basic hacking technique, such as a phishing attack or a password cracking demonstration (using ethical hacking principles). This can be done using a dummy website or network set up specifically for the class. Students participate in a simulated environment where they must identify potential vulnerabilities in a mock digital system. This could include spotting phishing emails, weak passwords, or unsecured network connections. Discuss about cases where individuals’ private data was released online, either through hacking or by the individuals themselves (such as social media oversharing or consenting to terms and conditions without reading them). Week 4: Data Visualization for Advocacy and Awareness Techniques for creating impactful data visualisations. Application of data visualisation in advocating for sustainable development goals. Hands-on project: Creating visualisations for a societal issue aligned with SDGs. Note to self Example Case Study: Gapminder and Global Development Explore how Gapminder’s data visualisations, such as Hans Rosling’s presentations, have effectively communicated complex global development trends and influenced public perception. Exercise: Creating Impactful Visualisations Using data visualization tools (like Tableau or PowerBI). Students practice by visualizing a provided dataset related to a societal issue. Emphasise the importance of ethical representation in visualisations.

Week 5: Data in Public Policy and Sustainable Development Goals Analysis of how data influences public policy decisions. Exploration of the role of data in achieving specific SDGs. Case studies on the integration of data-driven approaches in sustainable development initiatives. Kostas Topouzelis: cv scans regions with drones to change police making for public spaces Example Case Study: Data-Driven Healthcare in Rwanda Examine how Rwanda used data-driven approaches to improve healthcare delivery, contributing to progress in SDG 3 (Good Health and Well-being). Exercise: Data-Driven Policy Analysis Provide a dataset related to a policy area and have students analyse it to propose data-driven policy recommendations. Can use data from the World Health Organization (WHO). Break into groups to analyze different case studies of data-driven sustainable development initiatives. Case Studies Suggestions Rwanda’s Use of Data in Healthcare: Focus: SDG 3 (Good Health and Well-being) Description: How Rwanda has leveraged data to improve healthcare delivery, including the use of electronic health records and mobile health initiatives. Singapore’s Smart Nation Initiative: Focus: SDG 11 (Sustainable Cities and Communities) Description: Singapore’s integration of data analytics and IoT technologies in urban planning, transportation, and public services to create a more livable, efficient, and sustainable city. Kenya’s M-KOPA Solar Project: Focus: SDG 7 (Affordable and Clean Energy) Description: An innovative pay-as-you-go solar energy system for low-income households, using data to track usage and payments. Australia’s Murray-Darling Basin Plan: Focus: SDG 6 (Clean Water and Sanitation) Description: A comprehensive approach to water management in one of Australia’s largest river basins, utilizing data for environmental monitoring and water allocation. India’s Aadhaar Program: Focus: SDG 1 (No Poverty) & SDG 16 (Peace, Justice, and Strong Institutions) Description: The world’s largest biometric ID system aimed at providing a digital identity to citizens, improving access to government services and reducing corruption. Alternative Examples with easier access to datasets

New York City’s Open Data Initiative Focus: Urban Planning, Transportation, Public Services Case Study: Explore how New York City uses its Open Data portal to inform policy decisions, improve city services, and encourage civic engagement. Datasets: NYC Open Data provides a wealth of datasets on various topics like crime rates, public transportation usage, housing, and environmental data.
European Union’s Copernicus Programme Focus: Environmental Monitoring and Climate Change Case Study: Analyze how data from the Copernicus Programme is used for environmental monitoring and policy-making in areas like air quality, land use, and climate change. Datasets: The Copernicus Open Access Hub offers satellite data that can be used for environmental analysis and research.
Chicago’s Array of Things (AoT) Focus: IoT and Urban Sensing Case Study: Examine how Chicago’s AoT project, a network of interactive, modular sensor boxes, collects real-time data on the city’s environment, infrastructure, and activity. Datasets: The AoT provides accessible data on temperature, air quality, traffic, and more, useful for understanding urban living conditions and planning.
UK Biobank Focus: Healthcare and Epidemiology Case Study: Understand how the UK Biobank collects and uses data from 500,000 participants for research in various diseases and health-related issues. Datasets: While access requires an application and is subject to approval for research purposes, this large-scale biomedical database offers a rich resource for health data analysis.
The World Bank’s World Development Indicators (WDI) Focus: Global Development and Economics Case Study: Utilize WDI to understand how global development data is used in shaping policies for economic growth, poverty reduction, and sustainable development. Datasets: The WDI provides a comprehensive set of data on global development, including economic, social, and environmental indicators.
UCI Machine Learning Repository Focus: Various, including Environment, Healthcare, and Social Sciences Case Study: This repository offers a variety of datasets used in published machine learning papers. Students can explore how these datasets have been used in research and policy-making. Datasets: The UCI repository contains datasets on a wide range of topics and is a popular source for academic and research purposes. Week 6: Ethical AI and Algorithmic Accountability Discussion on ethical considerations in AI and algorithmic decision-making. Exploration of the societal implications of deploying AI for sustainable development. Strategies for ensuring accountability in algorithmic systems. Generative AI/sagaftra strike Example Case Study: Tesla’s Autopilot and Ethical AI Analyse ethical considerations and accountability issues related to Tesla’s Autopilot system, addressing the challenges of AI in safety-critical applications. Exercise: Ethical AI Framework Have students design an AI-driven hiring platform. Discuss the importance of transparency, fairness, and accountability. Alternatively Activity: Debate on the ethical implications of AI in different sectors (healthcare, automotive, etc.), using Tesla’s Autopilot as a case study. Week 7: Digital Divide, Accessibility, and Inclusion Examination of the digital divide and its impact on social and economic development. Strategies for addressing digital inclusion and accessibility challenges. Exploration of how data can be leveraged to bridge gaps and promote inclusivity Julian Oliver/Girls who code Example Case Study: One Laptop Per Child Initiative Assess the impact of the One Laptop Per Child initiative in bridging the digital divide and promoting digital inclusion, particularly in developing regions. Exercise: Accessibility Audit Assign students to evaluate a website or application for accessibility and propose improvements to make it more inclusive. (Example: people with achromatopsia) Explore digital divide issues through an interactive simulation or game that illustrates accessibility challenges. Week 8: Social Media, Online Communities, and Global Goals Analysis of the role of data in shaping online communities and social movements. Exploration of the impact of social media on public discourse related to the SDGs. Case studies on the use of social media for sustainable development advocacy. (Extinction Rebellion, Arab Spring) Example Case Study: #FridaysForFuture and Climate Activism on Social Media Investigate how the #FridaysForFuture movement effectively used social media to mobilise global support for climate action, aligning with SDG 13 (Climate Action). Exercise: Social Media Campaign Analyze the role of social media campaigns in a particular social movement (like #FridaysForFuture or Extinction Rebellion), discussing the impact and effectiveness. Study and Collect data on different aspects of the movement’s social media strategy. (SocialBlade, ++) How did this campaign Emphasise the ethical use of data in social media outreach?

The Bachelor’s course Data, People & Society offers a comprehensive exploration of the intricate relationship between data and its impact on society and individuals. This interdisciplinary course, spanning eight weeks, delves into the ethical, social, and technical aspects of data in the modern world.

In the first week, students are introduced to the core concepts of the course, including the ethical considerations in data collection and usage. The case study of the Cambridge Analytica Scandal serves as a real-world example, shedding light on the profound effects of data misuse in political contexts. Engaging activities like Data Privacy Simulations and group analyses of the Cambridge Analytica case provide practical insights into data ethics.

The second week focuses on the critical issues of bias in data and algorithmic fairness. Students examine how biased algorithms can reinforce social inequalities, using predictive policing and racial bias as a case study. Practical exercises in analyzing biases in datasets deepen their understanding of these issues.

Week three shifts to privacy, security, and digital rights in the digital age. The course covers GDPR and online privacy, offering hands-on activities like GDPR Compliance Workshops and hacking simulations to illustrate the challenges and importance of data security and privacy.

Data visualization for advocacy and awareness is the theme of week four. Students learn to create impactful visualizations, with a focus on ethical representation. The Gapminder Foundation’s work exemplifies the power of data visualization in conveying complex global issues.

In the fifth week, the course examines data’s role in public policy and sustainable development goals. Through various case studies, including Rwanda’s healthcare improvements and Singapore’s Smart Nation Initiative, students explore how data-driven approaches can aid policy decisions and sustainable development.

Week six addresses ethical AI and algorithmic accountability. The course discusses the societal implications of AI deployment, using Tesla’s Autopilot as a case study. Activities include designing ethical AI frameworks and debating AI’s ethical implications across different sectors.

The seventh week is dedicated to understanding the digital divide, accessibility, and inclusion. Students assess initiatives like One Laptop Per Child and conduct accessibility audits, gaining insights into bridging digital gaps and promoting inclusivity.

Finally, week eight explores the influence of data on social media and online communities, particularly in relation to global goals like climate action. Case studies like #FridaysForFuture highlight the role of social media in mobilizing support for sustainable development.

Overall, this course equips students with a nuanced understanding of the multifaceted roles data plays in our society, emphasizing ethical, equitable, and responsible use of data in various contexts.

No I don’t want it split by weeks, I want a short introduction around 150 works that will go on the syllabus.

below is an example of the style it should be written in, but the content of that needs to reflect the schedule I shared above

This unit will introduce cybersecurity essentials through the lens of ethical and legal requirements in relation to data collection, data storage, data access, data sharing and data processing. 
  You will examine current information security processes, which are enforced and regulated by legal and human rights legislation including the UK Data Protection Act and the European Union’s General Data Protection Regulation (or relevant current legislation). 
  You will consider the impacts of large-scale data collection and processing on individuals and the environment. You will also review the role of UK bodies such as the Information Commissioner’s Office, and examine core data security issues, including the role of everyday computer users in data breaches.

This course, “Data, People & Society,” delves into the complex and evolving relationship between data and its profound impact on individuals and society. It emphasizes the ethical, legal, and societal aspects of data collection, usage, and dissemination.

Throughout this course, students will engage with a variety of topics, beginning with an understanding of ethical considerations in data handling, exemplified by case studies like the Cambridge Analytica scandal. The curriculum encompasses critical issues such as bias in data, algorithmic fairness, and the role of data in reinforcing or challenging social inequalities.

The course also addresses privacy and security in the digital age, examining regulations like GDPR and exploring the challenges of data breaches and digital rights. Further, students will explore the power of data visualization in advocacy and awareness, and its application in addressing global issues aligned with Sustainable Development Goals (SDGs).

In its latter part, the course scrutinizes the ethical dimensions of AI and algorithmic accountability, including discussions on the digital divide and strategies for promoting digital inclusivity and accessibility.

Overall, “Data, People & Society” offers an in-depth study of how data influences public policy, shapes global movements, and impacts every facet of modern life, while advocating for responsible and ethical data practices.