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  • Meet the Author: Jonathan Gilligan

    Meet the Author: Jonathan Gilligan

    Jonathan Gilligan is a Professor of Earth and Environmental Sciences, Civil and Environmental Engineering, and Climate and Environmental Studies at Vanderbilt University. Gilligan has published a book, entitled “Beyond Politics: The Private Governance Response to Climate Change,” and more than 100 scholarly articles. They spoke with SSRN about the importance of involving scientists in climate change policy discussions and how private governance can fuel environmental and sustainability progress.

    Q: A lot of your research has focused on understanding environmental stress in coupled human-natural systems. This work is inherently multidisciplinary, combining natural science, social science, and public policy. How has your career and research experience evolved to bring together elements of these various disciplines?

    A: I’ve had a very interesting and probably unusual research career. My original training was in physics. I worked in very technical areas of physics, around precise atomic and molecular spectroscopy, quantum optics, etc. Then in the mid-90s, I made a move into environmental chemistry, focusing on the technical aspects of measuring ozone-depleting chemicals and things like that.

    In the process, I started to get interested in why all of this really cool scientific research I was involved in wasn’t being used more effectively in policy making to protect the environment. I got very interested in questions about how we use science and engineering in making and informing public policy and how we [can] do a better job of understanding the benefits of basic science and engineering research for society. That got me into talking with a lot of social scientists, political scientists and so forth.

    Then in the early 2000s, I met law professor Michael Vandenbergh, who had experience both in the private sector as a partner of a major environmental law firm and as former Chief of Staff of the Environmental Protection Agency. The two of us working together [brought] Mike’s expertise in law and policy together with what I knew about natural science. Both of us had a lot of interest in how learning about human cognition, risks, hazards, and behavioral science – what things actually lead people to change their behavior – could be useful for better understanding environmental policy. […] By doing that, we can start to understand some of the obstacles to making effective environmental policy and new directions that people hadn’t appreciated until they started looking at the role of social and behavioral sciences.

    Q: Why do you think it’s important to have people with a scientific background involved in discussions about climate policy and the social and economic effects of climate change?

    A: This is important because we have to understand the problems we’re working with. A framework Mike and I came up with, together with some great social scientists Tom Dietz, Paul Stern and Gerald Gardner, breaks this down into a three-part analysis. The first part is, when we’re looking at potential policy interventions, what’s the technical potential? How well would this policy work if it was implemented effectively? To do that, we need to know the science and engineering parts: what are the hazards of climate change? How much do we need to reduce greenhouse gases? What are the different kinds of energy use, land use, and other things that contribute to greenhouse gas emissions? How would these behavior changes actually work out in terms of quantitative emissions reduction? That needs the science part.

    The second part is we bring in the behavioral sciences and look at behavioral plasticity: how much would people be likely to change their behavior in response to incentives, information, and other things? Then we look at what we call initiative feasibility, [analyzing] the policy process and saying, “is there somebody who’s actually willing and able to implement this initiative?” We look at the initiative, how feasible it is to implement, and if we implement [it], how much are we actually going to change people’s behavior? And then, from the natural science and engineering side, how much would that behavior change affect emissions?

    Recently, a paper we have up on SSRN [looks] at the growth of artificial intelligence. A lot of people are concerned about the greenhouse gas emissions that are resulting from this rise in the use of data centers and all the energy we consume. We ask, “how do people think about the use of large language model queries and the environmental impact of them when they’re deciding if this is a good use of AI?” We look at, first of all, how much do people know about this? Where do people find out about the energy consumption? We go into the engineering literature, and we go into studying some of the popular tools that are out there for calculating the greenhouse gas emissions, and we find there’s a lot of uncertainty there. People… depending on which tool they use, might get wildly different estimates, as much as 50 times different, between one estimate and another. This is going to affect the quality of information they can use for their decision making.

    We also look at how people use this information. Where might it be beneficial? A very energy-intensive query might avoid other energy intensive behaviors. So, we start looking at the larger human behavior side of tradeoffs, and then how we can move forward to better provide useful information. This is an example of where we really need the engineering work.

    Q: The paper you referenced, “The Energy and Environmental Footprint of AI,” discusses how informing the public about the electricity demand and environmental impacts of AI can help to reduce those impacts without disrupting the ongoing development of AI technology. What kind of information disclosure do you think would be most beneficial for the efforts to reduce negative effects of AI?

    A: Right now, most of the big models are closed source. There’s not easy access to studying them and studying their energy use. Companies tend to provide summary information that doesn’t have the kind of detail that would allow us to look at different kinds of queries, such as what’s the energy consumption? What kinds of energy use are included in the calculations? Is it just the energy used to run the computer processors, or does it also include things like the cost of cooling and running the whole data center? Other questions come up, such as: how credible is this? Is this representative of the whole thing? What’s the cost of one additional query?

    Where there are open-source models, people can study those in detail, but they may not be representative of what’s being done in some of the major proprietary models. There’s a lot of research that needs to be done and places where people could make better decisions if there was more transparency [in] providing information about energy use.

    Q: AI is a new and constantly developing field, meaning that there is a lot of research still needed to fully understand its consequences now and in the future. Do you have plans to continue exploring the impact of AI on the environment?

    A: I think this is a very important field. […] I’m interested in pursuing how the use of AI tools would potentially help improve transparency and accountability. I’m also very interested in the human behavior side. As these tools become more widespread, how do people use them? There’s potential for them to increase energy consumption without adding a lot of value, but there’s also potential for these tools to reduce [energy use]. If I do, for instance, a very energy intensive query to an artificial intelligence tool, if that saves half a day of somebody working in an office – where you have the heating and cooling of the office, the lighting, the commuting to work and back, all of those kinds of things – there may be opportunities to reduce the total labor input or total energy use. Or these things could end up increasing the demand for using AI tools and lead to a large net increase in energy.

    We want to understand individual behavior and institutional behavior of how businesses will use these tools. There could be benefits or there could be real harm to the environment, and a lot of that’s going to come out of the details of how people decide how to use the tools.

    Q: Your book “Beyond Politics,” written with Michael Vandenbergh, explains how businesses, organizations, and other private groups can take action to reduce the risks of climate change, even when governments are slow or resistant. Tell me a little bit about what went into researching and writing this book.

    A: We started with… the perception many people have that greenhouse gas emissions are predominantly driven by large industrial and corporate activity. Behavior is really important because there’s a lot of greenhouse gas emissions that come from people in their individual and household lives: the energy people consume at home, the energy people consume driving their vehicles. We started saying that the kinds of command and control policy tools that work well for controlling emissions, when most of the emissions are under the control of a few large industrial actors, don’t apply when you’re talking about emissions that are aggregated across 300 million people in the U.S. In fact, household and individual emissions are the largest single sector of greenhouse gas emissions in the U.S., bigger than the industrial sector and bigger than the commercial sector.

    We started looking at behavior at the individual and household level, and… also what happens to behavioral things in the way that businesses work? Mike started looking at case histories of places where there were significant emissions reductions happening because of corporate decisions that had nothing to do with government mandates or regulations.

    Walmart, around 2005, started to say, as a corporate policy, “we’re working on reducing a lot of our environmental impact. We’re interested in being more sustainable as a corporation.” They realized that there were opportunities for people in their homes to save money and reduce energy consumption and greenhouse gas emissions by buying more energy efficient light bulbs. But nobody was selling those bulbs in a way that was convenient and easy for people to get at. So, Walmart went to their suppliers and said… “if you can produce an inexpensive, high quality compact fluorescent light bulb, we’re going to help you sell literally hundreds of millions of these.” They set a goal in 2007 for selling 100 million compact fluorescent light bulbs. That year, they met their goal in October and continued to sell those bulbs, so they were more than 20% ahead of what their target was in the first year they had that program.

    Later, LED light bulbs were becoming clearly a great thing. But again, these bulbs were difficult to find. They were expensive. Walmart, again, came in [and] told their suppliers, “if you can get me a high-quality LED bulb that I can sell retail for under $10, we’re going to help you sell a lot of these.” When this went live, around 2013, they started selling huge numbers of LED bulbs. A little bit after Walmart started their voluntary compact fluorescent light bulb program, the U.S. government implemented mandatory light bulb efficiency standards. Then a couple of years later… Congress withdrew all the money from enforcing those regulations, but the private sector kept going because they saw this is good for business, this is good for the environment, and there’s real consumer demand.

    Then, looking at corporate activity, we saw that businesses were also looking at places where they could reduce emissions internally, and some of this was driven by cost savings. Companies found they could save a lot of money by reducing unnecessary energy use.

    Then, we started looking into what some of the incentives are for why companies do this. Some of this is wanting to look good to consumers, which we found is somewhat misunderstood. It’s widely known that a lot of people like green products, but almost nobody’s willing to pay a lot more to buy a green product. It’s not just that companies go green because they think consumers are going to want to go out of their way to get green products. What we find more common is people don’t want to buy the worst product. If a company gets a reputation as one of the worst companies for the environment, people are likely to buy from a competitor.

    Another part that goes into this is employees. People want to work for a company that they feel proud working for. […] Being a company that the employees feel is a moral company, that comports with [their] values on the environment, is really valuable for attracting the top talent and retaining them.

    People aren’t necessarily going to go way out of their way to spend a lot of money or reduce their quality of life to be more environmentally friendly, but where there are opportunities to have a good quality of life in an environmentally sustainable way… people do tend to migrate towards the better choices. A lot of companies find this is an important part of being competitive in the marketplace, both for consumers and for employees.

    Q: This book was released in 2017. If you were to write or revisit it today, would you put any different emphasis on certain points or add anything new that maybe you couldn’t have predicted then?

    A: Yes, I think there are some things that we are confronting now that we didn’t see then. We had the book under contract in 2016, we were just putting the final edits together, and we expected that probably Hillary Clinton was going to be president of the U.S., and this was going to be… about how even with a Democratic-controlled federal government, it was going to be really difficult to get environmental regulations through. Democrats were not voting heavily for carbon taxes, and so even with the Democratic government, this would be hard. So, the private governance aspect – how corporations, community organizations, people in their private lives do things to be sustainable – was going to be important.

    Then Donald Trump surprised us and got elected, and we quickly realized we needed to actually rewrite a lot of the book, anticipating what a Trump administration might look like. Now there was going to be more active hostility towards government regulation in a lot of ways that made our arguments stronger.

    Coming into what we saw then, a lot of things fit our model. Corporations were taking a lot of action, even when the U.S. government started rolling back environmental policies. Corporations saw that sustainability was important to their business. Climate change was threatening business. It was causing huge losses to insurance companies. Banks that make mortgages are worried about what’s going to happen to the property that we own a mortgage on. People were looking at industrial companies: how’s climate change going to disrupt our supply chain? There was a real move towards corporate action on sustainability, which fit the thesis we had written.

    Then, over the last five years or so, we’ve seen a real shift of public hostility towards corporate action. We’re seeing a backlash against what are deemed “woke” corporations, and so we need to adapt our theoretical framework to account for the fact that when we wrote this, conservatives who might be anti-environmental regulation tended to be pro-business and pro-markets. We saw that corporate initiatives might improve public acceptance and embracing of sustainability policies when they saw that this was coming from profit-seeking companies.

    Over the last several years, public opinion polling has shown that there is a growing bipartisan consensus among Democrats and Republicans in the public that big corporations cannot be trusted, and so we need to think about how private governance works in an environment where there’s strong bipartisan suspicion and hostility towards large corporations. Small businesses are still seen favorably by Democrats and Republicans alike, and so I think looking at the role of smaller businesses is an important thing that I’m looking at as we move forward. Their role in private governance… [is] an area that’s been very understudied. There’s a lot of room for understanding how small businesses fit into all of this.

    Q: Are there any of your papers or work that you want to highlight as particularly interesting or timely?

    A: There’s a paper that Mike Vandenbergh and I did with Stephanie Stern and David Dana, “Adaptation As Mitigation,” about looking at how to integrate climate adaptation and climate mitigation. Big cities are facing climate threats from wildfires, like we saw with the Los Angeles wildfires last year, or sea level rises that threaten big cities along the coasts of the world. […] As people look at adaptation, both in the short term of rebuilding after disasters… or as we look longer term at how cities are going to adapt to rising sea levels, to greater wildfire threats, and potentially look at rebuilding or relocating cities, it’s useful to adopt an integrated view of looking at the energy impacts and the climate impacts. These can range from the short-term impacts of all the carbon impact of manufacturing those building products and the energy use of rebuilding buildings… but also longer term, as we reconfigure cities to be more sustainable and resilient in the face of a growing threat of natural disasters.

    Can we think about rebuilding these cities in ways that encourage more energy-efficient, low-carbon living – cities that may require less driving or that may be more efficient to heat and cool the buildings? Can we develop approaches to integrating mitigation of greenhouse gas emissions with adaptation to making cities more resilient to climate change?

    Q: What do you think SSRN contributes to the world of modern research and interdisciplinary scholarship?

    A: SSRN makes it easy to post preprints or off prints in a place where people can easily find them. SSRN is uniquely interdisciplinary, so I’ve published in a lot of literatures: from the deep environmental science journals to technical journals to law reviews. […] I’ve got papers on SSRN that come from law review journals, but also from satellite remote sensing journals, geography journals, and proceedings of computer science conferences. It’s that really broad multidisciplinary nature that lets me put work that I’ve published in so many different disciplines all in one place. I feel like that increases my ability to help people find my work and see these connections across all the different areas that I publish in.


    More About Jonathan Gilligan

    Jonathan Gilligan is Professor of Earth and Environmental Sciences, Professor of Civil and Environmental Engineering, and Professor of Climate and Environmental Studies at Vanderbilt University. They received their BA in Physics from Swarthmore College and their Ph.D. in Physics from Yale University. They were a National Research Council Postdoctoral Associate at the Time and Frequency Division of the National Institute of Standards and Technology. They led a team from the National Oceanic and Atmospheric Administration and the Cooperative Institute for Research in Environmental Sciences at the University of Colorado using a multichannel gas chromatograph on a NASA airborne mission to study ozone depletion. In 1994, they joined Vanderbilt’s Department of Physics and Astronomy and later joined Vanderbilt’s Department of Earth and Environmental Sciences. Gilligan has published one book and more than 100 scholarly articles and holds two patents. Their book, “Beyond Politics: The Private Governance Response to Climate Change” (co-authored with Michael Vandenbergh) was recognized with a Vanderbilt Chancellor’s Award for Research in 2018 and was named one of the most important books on environmental policy of the last 50 years by Environmental Forum.

  • Top Papers on Climate Finance in Q3 2025

    Top Papers on Climate Finance in Q3 2025

    This list includes the top downloaded papers on Climate Finance posted in Q3 2025. It also includes the Top 5 Organizations that downloaded the research during this period.

    1. Country Risk: Determinants, Measures and Implications -The 2025 Edition by Aswath Damodaran (New York University)

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    2. Climate Change Risk and the Cost of Mortgage Credit by Duc Duy Nguyen (Durham University), Steven Ongena (University of Zurich), Shusen Qi (Xiamen University), & Vathunyoo Sila (University of Edinburgh)

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    3. State of SupTech Report 2024 by Maryeliza Barasa (Digital Transformation Solutions), Simone di Castri (Digital Transformation Solutions), Matt Grasser (Digital Transformation Solutions), Samir Kiuhan (Cambridge SupTech Lab), Kalliopi Letsiou (Cambridge SupTech Lab), & Lara Sousa Faria (NOVA University Lisbon)

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    4. Systemic Investing for Social Change: A Starter Kit by Hibah Khan (Massachusetts Institute of Technology), Jason Jay (Massachusetts Institute of Technology), & Kirsten Andersen (University of Zurich)

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    5. Accountability For Flawed Corporate Culture by Jennifer G. Hill (Monash University) & Roy Shapira (University of Chicago)

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    6. Carbon Pricing Policies and Global Climate Change – Critical Perspectives (Second edition) by Alan K. Kirkpatrick (Bournemouth University)

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    7. Evaluating Impact Investing through a Systems Thinking Lens: Hallmarks of a Transformational Approach by Yu Zhang (Massachusetts Institute of Technology)

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    8. The Shades of Investment Factors by Maxime Sauzet (Boston University) & Jiayi Zhu (Boston University)

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    9. The Proxy Voting Choice Revolution by Alon Brav (Duke University), Tao Li (University of Florida), Dorothy S. Lund (Columbia University), & Zikui Pan (University of Florida)

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    10. Biodiversity, Financial Markets, and Systemic Risk: A Synthesising Review by Brian M. Lucey (Trinity College Dublin), Samuel A. Vigne (Luiss Guido Carli University), & Andrew Urquhart (University of Birmingham)

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  • Top Papers on AI in Finance in Q3 2025

    Top Papers on AI in Finance in Q3 2025

    This list includes the top downloaded papers on AI in Finance posted in Q3 2025. It also includes the Top 5 Organizations that downloaded the research during this period.

    1. Artificially Intelligent, Naturally Inefficient? Service Quality Investments and the Efficiency Trap in Australian Banking by Siddharth Jain (Churchill Institute of Higher Education), Sagar Lohani (Churchill Institute of Higher Education), & Thomas Denigan (Churchill Institute of Higher Education)

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    2. Understanding The Virtue of Complexity by Bryan T. Kelly (Yale School of Management) & Semyon Malamud (Ecole Polytechnique Federale de Lausanne)

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    3. The Labor Market Effects of Generative AI: A Difference-in-Differences Analysis of AI Exposure by Andrew Johnston (University of Texas at Austin) & Christos Makridis (Stanford University)

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    4. GraFiN-Gen: Graph-based Ensemble Generative Modelling for Multi-asset Forecasting by Milena Vuletić (University of Oxford) & Mihai Cucuringu (University of California, Los Angeles)

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    5. The Market’s Mirror: Revealing Investor Disagreement with LLMs by Vineet Bhagwat (George Washington University), J. Anthony Cookson (University of Colorado at Boulder), Chukwuma Dim (George Washington University), & Marina Niessner (Indiana University)

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    6. Cross-Sectional Spillovers of Earnings Surprises and Asset Price Anomalies by Cong Zhang (University of Chicago) & Zhenzhi He (Northwestern University)

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    7. Artificial Intelligence in the Boardroom by Daniel Ferreira (London School of Economics) & Jin Li (The University of Hong Kong)

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    8. When LLMs Go Abroad: Foreign Bias in AI Financial Predictions by Sean Cao (University of Maryland), Charles C. Y. Wang (Harvard University), & Yi Xiang (Hong Kong Polytechnic University)

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    9. AI Behavioral Science by Matthew O. Jackson (Stanford University), Qiaozhu Mei (University of Michigan at Ann Arbor), Stephanie Wang (University of Pittsburgh), Yutong Xie (University of Michigan at Ann Arbor), Walter Yuan (MobLab), Seth G. Benzell (Chapman University), Erik Brynjolfsson (National Bureau of Economic Research), Colin Camerer (California Institute of Technology), James A. Evans (University of Chicago), Brian Jabarian (University of Chicago), Jon Kleinberg (Cornell University), Juanjuan Meng (Peking University), Sendhil Mullainathan (University of Chicago), Asuman E. Ozdaglar (Massachusetts Institute of Technology), Thomas Pfeiffer (Massey University), Moshe Tennenholtz, Robb Willer (Stanford University), Diyi Yang (Stanford University), & Teng Ye (University of Minnesota – Twin Cities)

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    10. Crypto Regulation in the Time of Trump by Lawrence J. Trautman (Prairie View A&M University)

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  • Top Papers on AI in Law Q3 2025

    Top Papers on AI in Law Q3 2025

    This list includes the top downloaded papers on AI in Law posted in Q3 2025. It also includes the Top 5 Organizations that downloaded the research during this period.

    1. LLMs are Bad Judges. So use Our Classifier Instead. by Jack Kieffaber (Harvard University), Kimo Gandall (Harvard University), Steven M. Foster, Jr. (University of Chicago), & Kenny McLaren (Harvard University)

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    2. Intellectual Property in the New Technological Age 2025: Volume I Chapters 1&2–Perspectives, Trade Secrets by Peter S. Menell (University of California, Berkeley), Mark A. Lemley (Stanford Law School), Robert P. Merges (University of California, Berkeley), & Shyamkrishna Balganesh (Columbia University)

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    3. Getting Regulatory Sandboxes Right: Design and Governance Under the AI Act by Claudio Novelli (Yale University), Philipp Hacker (European University Viadrina Frankfurt), Simon McDougall (Yale University), Jessica Morley (Yale University), Antonino Rotolo (University of Bologna), & Luciano Floridi (Yale University)

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    4. Plagiarism, Copyright, and AI by Mark A. Lemley (Stanford Law School) & Lisa Larrimore Ouellette (Stanford Law School)

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    5. Should AI Write Your Constitution? by Richard Albert (University of Texas at Austin) & Kevin Frazier (University of Texas at Austin)

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    6. The Promise and the Peril of the Use of Generative Artificial Intelligence in Litigation by Michael Legg (University of New South Wales), Vicki McNamara (University of New South Wales), & Armin Alimardani (University of Wollongong)

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    7. AI and Doctrinal Collapse by Alicia Solow-Niederman (George Washington University)

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    8. Past Precedent, Future Proof: Toward a New Legal and Commercial Framework for AI-Generated Music by Charles Goldstuck (University of Witwatersrand)

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    9. Achieving Digital Sovereignty via the DMA: A European Illusion? by Walid Chaiehloudj (University Côte d’Azur)

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    10. An American’s Guide to the EU AI Act by Margot E. Kaminski (University of Colorado) & Andrew D. Selbst (University of California, Los Angeles)

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  • Meet the Author: Alex Edmans

    Meet the Author: Alex Edmans

    Alex Edmans is a Professor of Finance at London Business School. He is a Director of the American Finance Association, author of the 2024 book “May Contain Lies: How Stories, Statistics, and Studies Exploit Our Biases – And What We Can Do About It,” and winner of 30 teaching awards. He talked with SSRN about the economics of sustainability and how to better understand and develop our concept of truth.

    Q: A lot of your research focuses on topics such as corporate finance, responsible business and behavioral finance. Tell me a little bit about the trajectory of your career and what it was that got you interested in these areas specifically.

    A: I like social sciences because you do have some theories, so it’s not completely subjective, but those theories are not set in stone. You and I could see the same economic data, and I could say, “I think taxes should be higher,” while you could say “taxes should be lower,” and we can still have an interesting and respectful debate. That’s why I ended up going into finance in general.

    After a stint at Morgan Stanley investment banking, I wanted to go into research. As a banker, you serve a small number of clients, but as a researcher, you give knowledge which can be widely disseminated. The topics that I then chose to look at are important for the real world. Some of my first work was on the importance of human capital. Now that is called responsible business, sustainable business, or ESG, but I just thought [of] that as finance, it was nothing particularly “woke.” It was just sensible for companies to think about their most important asset. Back in 2005, when I was a student, nobody was really thinking about that, and it was good to be one of the early people looking into it.

    And then second… behavioral finance, which is the importance of psychology. Again, that’s relevant in the real world. People don’t act according to textbooks. I saw even supposedly rational investment bankers and traders being swayed by emotion. So, I wanted to look at how the market is affected by psychology.

    Q: How has the subject of your research evolved, with your work in sustainable finance, misinformation, etc.?

    A: One thing that I want to do is ensure that my research is not just sitting in academic journals and speaking to other academics, but [that it] has wider impact. So, it’s a huge pleasure for me to discuss these with policymakers, executives and investors. When I do this, I often find that people respond to the research based on whether they like it, not whether it is actually right. That’s not because they’re bad people. They’re just people, and all people have biases, just like I do.

    If you see something that supports your viewpoint, you will [shout] it from the rooftops, and if you see something that you don’t like, you will try to shut it out. What I’ve tried to do more generally is not just promote my own research but highlight the importance of the research community in general. I’ve tried to do quite a lot to promote the importance of the impact of the profession, particularly in a world which may have increased misinformation.

    Q: Last year, you released a book titled “May Contain Lies: How Stories, Statistics, and Studies Exploit Our Biases – And What We Can Do About It,” where you explore biases, problems, and solutions within the realm of truth, lies, and misinformation. Talk about your objectives when writing this book, including why you chose to write it now.

    A: You might be pessimistic and say, “Oh, the world is full of misinformation,” but there are sufficient numbers of people who do want to be more nuanced. And that led me to write this book.

    It’s something where you see increasing polarization and misinformation. I know it’s really tempting to blame, say, Donald Trump and other politicians – and I’m not here to defend them – but even those on the other side of the spectrum… might be unintentionally spreaders of misinformation themselves. I wanted to say [that] both sides can be improving in terms of being nuanced. That includes me: I give examples in the book of when I fell for misinformation. A lot of these are issues that I, even as a researcher, suffer from my own biases. I think it’s something that we can all get better [at].

    Q: What do you think people misunderstand most about the concept of what truth is?

    A: You might think people already understand the importance of truth, [so] why did I even need to write this book? But people only understand what I’d call “Level One” truth – whether something is factually true. What I highlight is that truth is not enough. Even if something is 100% true, it can be misleading. Well, how can that be? Let’s use case studies and examples. So the book “Start With Why” says, well, Apple started with a “why,” and Apple is really successful. That is true, but then you massively over extrapolate from that and say, “well, every company which starts with why should be successful,” but there could be lots of other companies that started with the “why” and failed. Even if what is told to you is true, it could be that what’s not told to you is where the real action is. And even if you’re given the full picture, it might be that there’s correlation, but not causation.

    If you looked at hundreds or thousands of companies and those with a purpose tend to be more successful, is it purpose that drives success, or is it success that gives a company the headspace to start thinking about purpose? The reader might think [they know] that correlation is not causation… but even though you know it deep down, you don’t put it into practice. In particular, if it’s a causation that we want to be true, we don’t ask if there are alternative explanations. What I’m trying to do here [is] say “take a time-out, look at these things objectively. Ask: is there convincing evidence for this? Or are there alternative explanations?”

    This stems way beyond just trying to look at data and evidence and studies, but how we actually make business decisions or life decisions. The idea of taking seriously what we don’t want to believe and being skeptical about what we do want to believe, that’s something which expands way beyond studying individual papers.

    Q: What kind of mindset change will help bring a societal shift away from our current misinformation ecosystem?

    A: I think one is to recognize our own limitations, and in particular the people who… think [they’ve] gotten to the top and know everything. We often will think about whether to read a study based on if it accords with our experience and that sort of rationale. No matter how sane you are, there may well be blind spots. [It’s important] to try to recognize this and to listen to other opinions that are different from ours.

    Even if we think that something is generally true, it’s not going to be true in all cases. So, we sometimes over-extrapolate from single cases. For example, from my first paper on the importance of human capital, some people say that proves that sustainability pays off. They use this to argue for only sustainability, but my study was on human capital. We can’t extrapolate from a human capital study to the other aspects of sustainability.

    Q: One of your recent papers on SSRN is “Sustainable Investing in Practice: Objectives, Beliefs, and Limits to Impact,” in which you and your co-authors examine results from a survey of over 500 equity portfolio managers about their firms’ environmental and social (“ES”) performance. One of the results you found is that most fund managers prioritize financial returns over environmental and social performance. What challenges does this create for investors who want to promote stronger ES practices?

    A: It’s an unusual study, because normally you’d write equations or just analyze data from your desktop. Here, we wanted to get our hands dirty and actually ask fund managers about how they behave. What was surprising to us was that even managers who run a fund with a sustainability label will only take sustainability into account if it improves financial returns.

    How do we interpret this? I’d say, let’s be realistic about the impact that sustainable investing is likely to achieve. It’s unlikely that you’re going to go to an oil and gas company and say, “stop producing oil and gas,” because at the moment, there is enough energy demand that fossil fuels still have a role here. But I wouldn’t be too pessimistic, because there are certain environmental and social actions which are consistent with financial returns. Indeed, my first book, “Grow the Pie,” was about the fact that they do have these win-wins, and the idea of win-wins is not necessarily wishful thinking.

    We want to be realistic about the impact that investors and companies can have. They certainly will be able to pursue environmental social outcomes, which are in the long-term interests of financial performance, but it doesn’t mean that we can realistically ask companies to do everything which is good for society. At the end of the day, they’re companies, not charities. This highlights the importance of government action. There might be certain behaviors which are bad for the planet but good for financial performance. You can’t just apply moral suasion to get companies to stop doing those actions; you need to tax them or regulate them.

    Q: In your highest downloaded paper on SSRN, “Does the Carbon Premium Reflect Risk or Outperformance?”, from 2023, you and your co-authors study the relationship between carbon emissions and earnings surprises to shed light on whether carbon premiums result from outperformance or risk. For someone unfamiliar with this subject, how would you explain what a carbon premium is and how you can actually determine whether it’s a result of carbon transition risk versus outperformance?

    A: This paper is about one of the most important topics today in sustainability: is there a tradeoff between what’s good for the planet and what’s good for financial returns?

    There was a highly influential prior study which found that companies that emit more carbon have higher financial returns. Their interpretation was that this is proof that emitting carbon is bad because it’s so risky to hold a company that emits carbon – it might be hit by a carbon tax – that the only way you’ll be willing to invest in that company is if it gives you high returns as compensation. They view those high returns as compensation for the risks of that company. They use this to spin the message that it’s risky to be an emitting company.

    But let’s hang on a moment. If you see high returns, that’s a good thing, not a bad thing. Nobody would look at [somewhere with] great returns and say that’s proof it’s risky. It just outperformed. And indeed, if you look at many sustainability studies, they often tell the importance of sustainability by saying that sustainable companies earn higher returns. This is the case of confirmation bias. If there are high returns for green companies, you say it’s a good thing. If there are high returns for bad companies, you suddenly say that’s a bad thing. We can’t have it both ways.

    What I wanted to look at was the source of those high returns. It could be theoretically possible that those high returns are compensation for risk, but it could also be possible that it’s resulting from outperformance. What we did was look at the actual earnings that these companies deliver. Every three months in the U.S., the companies need to release earnings. Before they do that, you have professional analysts predicting what the earnings will be. What we find is that these companies do systematically better than what the market was expecting, suggesting that those high returns are indeed outperformance. Companies are able to outperform by cutting their emissions reduction, by not investing in carbon scrubbers, by polluting more, by overextending production. I wish this wasn’t the case. Unfortunately, what we find is that there are companies which are able to get away with polluting the environment.

    Q: Your research from this paper suggests that companies don’t fully bear the consequences of their emissions. What types of regulation or incentives do you think would help make the market properly reflect the costs of pollution?

    A: The best is a carbon tax. This is fundamental, basic economics. Often, people say economics is all about just maximizing and making money, but that’s not true. Basic economics highlights market failure. One of the most basic principles is an externality – that’s when you have a negative effect on everybody else, but you don’t bear the consequences. This is why we have regulations about overfishing, noise pollution, and things like that. This is what a carbon tax will be doing.

    There is pushback to a carbon tax, and this may well be why it’s not being implemented. Some people will say that a carbon tax will then push up energy prices. Those energy prices are particularly salient for low-income households. Yes, wealthy people can afford them, but not people in energy poverty. That needs to be taken seriously, and one way to address that is to take the proceeds of the carbon tax and give this as lump sum subsidies to lower income households.

    Now you might think, “well, haven’t we just cancelled each other out by taxing them and then giving the money back?” No, we haven’t, because we’re still affecting the incentives at the margin. Let’s say the average carbon tax will add $1,000 to household bills. If your behavior doesn’t change, well, then tax and give everybody $1,000, but you’re still changing the incentives. What it means is that to take a flight will be more expensive, and so you may choose to take the train instead. Am I going to just be lax and leave my heating or lighting on the whole time? No, I’m now going to have greater incentives to turn the lights off. Overall, you can design this in a way which is both revenue neutral to the average person and revenue neutral to government, but it does change people’s incentives.

    Q: You’ve written many papers, given talks, published books, etc. that we’ve only scratched the surface of. Are there any of your papers or work that you want to highlight as particularly interesting or timely?

    A: There’s a trilogy of papers that I published, initially on SSRN, which are unusual. One is called “The End of ESG,” the second is called “Applying Economics – Not Gut Feel – To ESG,” and the third is “Rational Sustainability.” I’m really gratified about these papers, as they were all top 10 downloads across all fields, including physical sciences and so on. They’re not traditional academic papers, in that there are no equations or data in them, but they are perspectives on the future of ESG.

    The first paper, “The End of ESG,” you might think that’s a bit of a polarizing title, but I’m saying the end of ESG, not because I’m an anti-ESG person, but I’m saying let’s end the idea that this is a niche political issue. I’m saying ESG is good for everybody. Everybody wants to build sustainable companies. So, let’s look at this in a more nuanced way. They are, I think, of general interest to anybody… be you academic or practitioner, finance person or general social scientist.

    Q: What inspired you to write these as three separate papers? How do they all connect together?

    A: I gave “The End of ESG” as a keynote speech at a conference, and I used this as [an] opportunity to present… some forward-looking perspectives about where the profession should go. People were really complimentary about that, so I wrote it up. And then… to “end ESG,” I don’t want to just be destructive, but I want to be going forward, and that’s why I had “Rational Sustainability.” The one on “Applying Economics – Not Gut Feel – To ESG” was to think about how we can apply basic economic principles to ESG issues. It also highlights that often people like to attack textbook economics and say economics is stuck in the Dark Ages, so let’s rip off all textbooks. To denigrate all people’s past work, that’s unfair. If we think about the decades of science that have been produced over the last 50 or so years, we don’t need to abandon it, but we just need to adapt it for the common trends.

    Q: What do you think SSRN contributes to the world of modern research and scholarship?

    A: I think it contributes a huge amount to modern research and scholarship. One great thing about SSRN is to disseminate knowledge to a wider audience, not just those who can pay to get behind paywalls. Even before I was doing my PhD, there were certain papers on topics that I was interested in, where I could see the papers on SSRN, which I would not be able to if they were behind a paywall. And then when I was a student, I read huge amounts of papers on SSRN.

    I think it makes researchers more accessible to people who might not otherwise know about the research. I subscribe to SSRN digests [and] every day, I see new papers that come out. I’m writing another book right now, and if I want to find the latest research on a particular topic, I’ll go to SSRN. It’s a great way of democratizing research and making sure it’s accessible to everybody, not just academics in that particular field.

    Nowadays, I make my work available on SSRN, and I post it on social media, and people can access it. We do have the journal publication process, and I think that’s important, because it’s peer reviewed and so on. But it takes a long time for a paper to get through the peer review process. Some of the issues that we’re dealing with are so urgent that we want to make sure that we are using the most up-to-date research. Yes, that’s something when it says someone is not peer reviewed yet, but perfect should not be the enemy of the good.


    More About Alex Edmans

    Alex Edmans a is Professor of Finance at London Business School. He graduated from Oxford University and then worked for Morgan Stanley in investment banking and fixed income sales and trading. After a PhD in Finance from MIT Sloan as a Fulbright Scholar, he joined Wharton and was tenured in 2013, before moving to LBS. His research interests include corporate finance, responsible business and behavioral finance. He is a Director of the American Finance Association; President-Elect of the Western Finance Association; Fellow, Director, and Chair of the Ethics Committee of the Financial Management Association; Fellow of the British Academy; and Fellow of the Academy of Social Sciences. Edmans has spoken at the World Economic Forum in Davos, testified in the UK Parliament, presented to the World Bank Board of Directors, and given TED and TEDx talks, which have a combined 3 million views. His book, “Grow the Pie: How Great Companies Deliver Both Purpose and Profit,” was featured in the Financial Times Best Business Books of 2020. He also co-authored “Principles of Corporate Finance” and is the author of the 2024 book “May Contain Lies: How Stories, Statistics, and Studies Exploit Our Biases – And What We Can Do About It.” Edmans has won 30 teaching awards, was featured in Thinkers50 Radar, and was named Professor of the Year by Poets & Quants in 2021.

  • The Latest Research on Climate Change & Global Warming

    The Latest Research on Climate Change & Global Warming

    This list includes a selection of the latest research on climate change & global warming posted to SSRN in 2025.

  • Meet the Author: Asaf Lubin

    Meet the Author: Asaf Lubin

    Asaf Lubin is an Associate Professor at Indiana University Maurer School of Law. His scholarship explores the nexus of law, technology, and international security. He spoke with SSRN about the international law of espionage, the fate of digital rights amid armed conflict, and the rise of unchecked cyber-vigilantism in an era dominated by big tech.

    Q: Your work examines issues at the intersection of law, technology, and international security. How has the rapid evolution of technology influenced the direction of your research and other works?

    A: What first drew me to the intersection of technology and national security law was a desire to investigate unknowns: the unacknowledged surveillance program, the redacted intelligence memo, the court-sanctioned gag order, and the closed-door hearing on the Hill. I came to the field to understand how secrecy shapes law, and how law, in turn, manages secrecy. I quickly realized that few academics chase these shadows. Fewer still examine the technical architectures that sustain them.

    This is where I locate my academic voice: at the intersection of law, technology, and sovereign power. I study how legal institutions, both domestic and international, grapple with the evolving contours of the national security state, where intelligence agencies, military commands, and their corporate collaborators operate in expanding zones of legal ambiguity. These actors routinely oscillate between legal categories: war and peace, public and private, civilian and combatant, domestic and foreign, territorial and extraterritorial.

    The legal, policy, and institutional design challenges this oscillation produces are not new; they have echoed across centuries. Still technology, as a medium through which statecraft is exercised, compounds these questions. Nowhere is that transformation more apparent than in the evolving lifespan of secrecy itself. Where states once presumed a durable control over classified knowledge, today’s information ecosystem has radically shortened the half-life of silence. I first grasped the magnitude of this shift as a student at Yale Law School, when a senior attorney from the NSA’s Office of General Counsel gave a lunch hour talk. With disarming candor, he told us: “We used to assume our secrets had a five-year shelf life. Now? It’s half that—and shrinking still.” Freedom of Information Act (FOIA) requests, offensive hacking, accidental leaking, investigative reporting, and whistleblowing have all eroded the traditional architecture of secrecy, and with it, certain presumptive foundations on which national security law once stood. Just think of the saga with the Yemen strike Signal chat. For researchers, this increased transparency is a good thing. It has meant greater access to information—opening new space for theory-building grounded in visible practice.

    But transparency and access to information are surely not the only axis of transformation. As technology evolves, we see tectonic shifts in scale—faster speeds, broader reach, greater volumes of data—that complicate capacity limitations that are presumed by our existing laws. Other transformations alter the nature of legal problems altogether. Think for example of artificial intelligence. In my research, I’ve been drawn to the myriad ways in which legal authority is both encoded and displaced when predictive algorithms and autonomous surveillance systems are embedded into the infrastructures of law enforcement, military power, and foreign diplomacy. These systems do more than execute commands. They hardcode legal interpretation and application into software design and user interface in ways that can constrain human judgment, control, and ultimately accountability.

    Q: Your upcoming book “The International Law of Intelligence: The World of Spycraft and the Law of Nations” examines the modern legal framework that governs peacetime intelligence operations and challenges the approach of international legal scholarship, suggesting a new legal framework for dealing with these issues. Talk a little bit about how this book has developed.

    A: When I was eighteen, I became an intelligence analyst, a position I held for over five years. From the outset, I was struck by what my training did not cover. I don’t recall a single sustained discussion of the ethics of the profession, let alone the law that undergirds our work. Unlike my high school friends who went to combat units and received at least some formal instruction on the law of armed conflict, we were given no framework for considering the limits of our work: what it means to surveil someone and to intrude upon their private life as a matter of institutionalized practice. I recall a particular conversation with one of my commanders early in my training. “Spying is about lying, cheating, and deceiving,” he told me. “It is simply antithetical to ethics.” That blunt statement stayed with me. It became the seed for my doctoral research at Yale Law School and now this book. I have devoted a significant part of the last decade attempting to challenge the assumption that some government lawyers and officers have that foreign intelligence collection lies beyond the reach of either legality or morality.

    Today, if I were to survey most international lawyers, certainly in the United States, I expect to hear one of two familiar responses as to the legality of peacetime cross-border espionage. The first camp, much like my commander, will consider espionage as extralegal, neither permitted nor prohibited, simply existing outside the edges of law. The second camp, perhaps the larger camp, will simply work to apply general principles of international law to espionage. That was the position advocated by an influential group of international experts in what is now known as the Tallinn Manual on the International Law Applicable to Cyber Operations. In other words, this camp has suggested that intelligence gathering is not regulated by any customary or treaty-based special rules but is rather governed by foundational legal principles that control all areas of state practice. With this logic in mind, many scholars in this camp have determined that nonconsensual peacetime interstate espionage is typically unlawful since it violates the sovereignty of the target state.

    Both camps, the extralegalist camp and the generalist camp, I would argue, are overly simplistic. They ignore the uniquely profound, historically rooted, and nuanced function that intelligence plays in the maintenance of public world order. After all, the availability of accurate intelligence to decisionmakers reduces sovereign uncertainty, offering the prospect not merely of more rational state action, but of averting the fear-fueled security spiral into violence. In that sense, intelligence can, and often does, serve a stabilizing function for the legal order. Peacetime intelligence collection is also a prerequisite for the operationalization of core foundational frameworks within international law from the law of self-defense and countermeasures to non-proliferation treaties and sanctions regimes.

    Now, recognizing that intelligence can serve this important function is not the same as always declaring it inherently lawful and ethical. Quite the opposite. If intelligence officers possess what I called “The Liberty to Spy”—the deliberately provocative title of my 2020 article in the Harvard International Law Journal—this liberty is narrow, conditional, and rigorously constrained. What is absent from the legal discourse is a pragmatic understanding of how customary international law and general principles help set the outer bounds of intelligence activity, shaping it into a self-contained specialized regime, the lex specialis of the international law of intelligence.

    So, for example, launching intelligence operations untethered from necessity or efficacy, or conducting ones that disproportionately harm third parties, is not merely unwise but unlawful. The book’s central contribution is in articulating those specific legal constraints, trying to define what a reasonable intelligence agency would do, to avoid negligent harm and reckless endangerment. To do so, the book draws on a body of scholarship that is often ignored by international lawyers who are more drawn to treaties and doctrine than philosophy and ethics. Yet, intelligence studies scholars, including historians, ethicists, and former practitioners, have developed a rather robust body of works that looks to determine the permissibility or impermissibility of espionage in particular circumstances. Drawing more of our legal reasoning by analogy to this work, we might be able to import into international law a more honest reckoning with how intelligence is embedded within and constrained by our legal order.

    Q: What do you think are the most important takeaways from this book that you want people to understand – not just about the current state of international law and intelligence but also regarding goals for the future?

    A: To study such an edge case as the international law of intelligence is to probe the deeper architecture of international law itself: its sources, its epistemology, and its modes of reasoning. Traditional doctrine assumes that custom can only grow in soil enriched by open practice and bathed in the vibrant sunlight of opinio juris. In the shadows, we are told, custom withers. But that is far from the truth. Entire categories of legal flora and ecosystemic orders flourish in shaded terrain, if we only attune ourselves to see it. It is perhaps less a garden than a mycelial, fungi-like network of dense interconnected primary and secondary rules, operating beneath the surface, shaping state behavior from below.

    Perceiving this subterranean legal order requires sensitivity to the stratigraphy of secrecy itself. After all, not all secrets are alike. Shallow secrets are broadly recognized, sometimes even universally so, even if the precise details of the underlying conduct remain contested or officially unacknowledged. Deep secrets, by contrast, are not merely unconfirmed but wholly unknown, shielded from public scrutiny in their entirety. Prevailing doctrine flattens this spectrum, treating all forms of secrecy as equally fatal to the formation of custom. This conflation overlooks the quiet development of navigational norms and operational codes—the tacit handshakes, subtle gestures, and occasional doubletalk that define a domain long governed by gentleman’s agreements. The book puts a spotlight on this world and, through it, offers a new lens on what Sir Daniel Bethlehem once called “the secret life of international law.”

    Q: The chapter you wrote for the second edition of the “Research Handbook on Human Rights and Humanitarian Law” entitled “The Rights to Privacy and Data Protection Under International Humanitarian Law and Human Rights Law” is your most highly downloaded work on SSRN and was posted back in 2020 (prior to the subsequent release as a book chapter in 2022). In this, you discuss the rights to privacy and data protection in regulating wartime military operations and the areas in which the laws have significant gaps. In the years since this was posted and later published, has there been progress made to better regulate privacy and data protection in the scope of International Humanitarian Law (IHL)?

    A: When I first wrote The Rights to Privacy and Data Protection under International Humanitarian Law and Human Rights Law, there was little doctrinal and theoretical engagement with the intersection of digital rights and armed conflict. At the time, breaches of informational privacy and data protection were often dismissed as peripheral. They were seen as technical concerns that paled in comparison to the more visible atrocities of war. Yet I argued then, as I do now, that these rights are not ancillary. They are sentinel norms. Their violation often marks the beginning of broader patterns of abuse and escalating civilian harm.

    The urgency of this work has only intensified. Today’s conflicts are not only kinetic but deeply datafied. In Ukraine, in Gaza, and in other theaters of war, we are witnessing the deployment of artificial intelligence, biometric surveillance, and algorithmic targeting as routine instruments of war. These technologies have become force multipliers of violence, expanding both its reach and modalities. The harms they produce are no longer confined to the physical. Data exploitation, digital profiling, and the erosion of autonomy through opaque systems of algorithmic control represent new frontiers of civilian vulnerability. We are beginning to finally see recognition of that at international fora. The July 9, 2025 Grand Chamber decision of the European Court of Human Rights in Ukraine and the Netherlands v. Russia affirmed for the first time that unregulated mass digital surveillance in war and occupation violates the right to privacy. It is a foundational first step, though the exact parameters set by the Court are still modest.

    Since the publication of that initial book chapter, the field has expanded with remarkable speed. In 2022, I co-edited “The Rights to Privacy and Data Protection in Times of Armed Conflict” the first book-length treatment of these issues, published by NATO’s Cooperative Cyber Defence Centre of Excellence (CCDCOE). The volume convened a wide range of leading scholars and practitioners to map the legal and ethical challenges posed by the digitalization of contemporary warfare and to propose pathways for stronger protections. More recently, in Data Injustice in Global Justice (forthcoming, 59(1) UC Davis Law Review, 2025), co-authored with Cherry Tang, we turn to a different set of actors. The article examines the datafication of conflict and humanitarian crises advanced not by states and militaries, but by international courts and organizations. We critique the unrestrained data practices of these bodies and call for a fiduciary model of governance that treats the digital information collected from vulnerable populations as a trust held for their benefit, rather than as a resource to be mined for institutional expediency.

    Q: One of your recent papers on SSRN “Tech Oligarchs and Corporate Vigilantism,” co-written with João Marinotti, forthcoming in the Michigan State Law Review, discusses the largely unchecked power held by leaders of large technology companies and the need for developing more comprehensive private law standards that can apply to different contexts within the digital and cyber spaces. Talk a little bit about what could be considered a “corporate vigilante” in this context.

    A: This project was a deeply rewarding collaboration with João Marinotti, who—full disclosure—is both my co-author and my husband. Our paper draws on João’s earlier work, The Private Law of Self-Help, 58(2) UC Davis Law Review 769 (2024). In that piece, he examined the outer bounds of lawful self-help in a new way, one that can be applied to novel and unprecedented situations and cases. That paper argues that the concept of self-help is itself a civil mechanism constrained by the architecture of private law. Our paper takes those foundational and theoretical insights and tests their limits against policies and realities derived from the digital and cyber context.

    In law, the principle of self-help allows private parties to act to protect their rights, but always within narrow limits and subject to later review by courts. What we see with Big Tech is different. Companies now design platforms and code that let them enforce their own rules—locking users out of accounts, bricking devices, or cutting off services—often automatically and without any judicial oversight. That is what we call corporate cyber vigilantism. It reflects a shift from permissible self-help to unilateral rule-making, where private code replaces public law. In the paper, we identify four recurring forms of this phenomenon—irreparable, careless, abusive, and sovereignty-substituting vigilantism—and argue that it represents a fundamental break from the traditional model of civil recourse, in which the legal system, not private actors, remains the final arbiter of rights.

    Q: What existing principles in the legal system could be best applied to the unchecked power of big tech companies?

    A: The legal guardrails already exist. Principles like necessity, proportionality, and the right to judicial recourse have long defined the boundaries of lawful self-help. Take the classic torts case of Katko v. Briney, where the court held that a landowner could not use an automated spring gun to defend an empty shed. The court reasoned that the harm was irreparable and far out of proportion. The same logic applies when tech companies deploy digital tools that can instantly repossess a car, brick a critic’s smartphone, lock a researcher out of cloud-stored files, or even suspend internet service across a whole region. Our claim is not that the law needs to reinvent itself, but rather that private law, especially tort doctrine, already provides the means to distinguish legitimate corporate discretion from unlawful vigilantism. Courts should use those tools to reassert the boundary between innovation and abuse.

    Q: What do you think SSRN contributes to the world of modern research and scholarship?

    A: I’ve always seen SSRN as more than just a repository. It’s a living forum for scholarly exchange. Posting early on SSRN isn’t just about staking intellectual territory, it’s about inviting dialogue when the work is still developing before publication. In fast-moving domains like cybersecurity, digital rights, and national security, the traditional publication timeline simply can’t keep pace. SSRN allows for ideas to circulate quickly when it’s most urgent to do so, so that they can have the greatest potential to inform, provoke, and shape emerging debates.

    Some of my most generative conversations have begun with an SSRN post. I’ve had colleagues—both longstanding and new—reach out with feedback, questions, and insights that have directly improved my work. That early visibility has also led to invitations to write blog posts, appear on podcasts, and participate in conferences I wouldn’t otherwise have known about. For scholars who see their writing as part of a broader intellectual and public discourse, SSRN is an indispensable platform. Same is also applicable in the context of teaching and mentoring of students, who often turn to SSRN to find groundbreaking work to advance their research.

    But what makes SSRN truly indispensable is its radical commitment to open access. It levels the playing field, for so many, by offering a platform where scholars and practitioners, regardless of institutional affiliation or geography, can engage with work as it emerges. As editor of the SSRN Law & Society: Private Law – Torts eJournal, I’ve had the privilege of curating a space where ideas on tort law travel freely and dialogue unfolds without the usual barriers of gatekeeping-by-subscription.


    More About Asaf Lubin

    Dr. Asaf Lubin is an Associate Professor at Indiana University Maurer School of Law and an Affiliated Faculty at the Hamilton Lugar School of Global and International Studies. He additionally serves as a Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard University and as an Affiliated Fellow at Yale Law School’s Information Society Project. His scholarship explores the nexus of law, technology, and international security, informed by his earlier service as an intelligence analyst and his fellowship at a leading nonprofit dedicated to safeguarding privacy in the digital age. Dr. Lubin is the author of two forthcoming books: The International Law of Intelligence: The World of Spycraft and the Law of Nations (Oxford University Press, 2026) and Teaching Cybersecurity Law and Policy (Edward Elgar, 2026). He also co-edited the anthology The Rights to Privacy and Data Protection in Armed Conflict (NATO CCDCOE, 2022) and published an open educational resource, Torts: Cases Problems and Policy Choices (Indiana University Publishing, 2025). Previously, Dr. Lubin taught at Columbia Law School and Yale College.

  • Top Papers on Climate Finance in Q2 2025

    Top Papers on Climate Finance in Q2 2025

    This list includes the top downloaded papers on Climate Finance posted in Q2 2025. It also includes the Top 5 Organizations that downloaded the research during this period.

    1. Does ESG Information Deliver Investment Value? A High-Dimensional Portfolio Perspective by Giovanni Bruno (Scientific Beta), Felix Goltz (Scientific Beta), & Antoine Naly (Scientific Beta)

    Top Downloading Organizations:

    2. Firm-Level Nature Dependence by Alexandre Garel (Audencia Business School), Arthur Romec (Toulouse Business School), Zacharias Sautner (University of Zurich), & Alexander F. Wagner (University of Zurich)

    Top Downloading Organizations:

    3. Corporate Nature Risk Perceptions by Snorre Gjerde (Norges Bank Investment Management), Zacharias Sautner (University of Zurich), Alexander F. Wagner (University of Zurich), & Alexis Wegerich (Norges Bank Investment Management)

    Top Downloading Organizations:

    4. Nature and Climate Risk in Asset Prices by Chiara Colesanti Senni (University of Zurich), Skand Goel, & Markus Leippold (University of Zurich)

    Top Downloading Organizations:

    5. How to Deliver Mega-Scale Investment in Climate Infrastructure by Carter Casady (Stanford University) & Ashby Monk (Stanford University)

    Top Downloading Organizations:

    6. Opening the Black Box of Local Projections by Philippe Goulet Coulombe (Université du Québec à Montréal) & Karin Klieber (European Central Bank)

    Top Downloading Organizations:

    7. The Singular Role of Public Pension Funds in Corporate Governance by Jill E. Fisch (University of Pennsylvania) & Jeff Schwartz (University of Utah)

    Top Downloading Organizations:

    8. To Disclose, or Not to Disclose: Evaluating the Effectiveness of Mandatory Climate-Related Disclosure by Sebastian Gehricke (University of Otago), Markus Leippold (University of Zurich), Tobias Schimanski (University of Zurich), & Cristhian Delgado Fajardo (University of Otago)

    Top Downloading Organizations:

    9. Between Promise and Power: Artificial Intelligence, Shareholder Activism, and the Corporate Governance of the Next Generation by Pierluigi Matera (Boston University)

    Top Downloading Organizations:

    10. Insurers’ Carbon Underwriting Policies by Olimpia Carradori (University of Zurich), Felix von Meyerinck (Lake Lucerne Institute), & Zacharias Sautner (University of Zurich)

    Top Downloading Organizations:

  • The Latest Research on Age Verification & Online Safety

    The Latest Research on Age Verification & Online Safety

    This list includes a selection of the latest research on age verification & online safety posted to SSRN in 2025.

  • The Latest Research on Cyberspace Law

    The Latest Research on Cyberspace Law

    This list includes a selection of the latest research on Cyberspace Law posted to SSRN in 2025.